Script_Final
#Libraries
library(readxl)
library(haven)
library(lavaan)
library(semTools)
library(car)
library(stringr)
library(dplyr)#DataManagment
dta<- read_excel("1340 responses 22SET-22H.xlsx",
sheet = "Base")
dta<-as.data.frame(dta)
dic <- read_excel("1340 responses 22SET-22H.xlsx",
sheet = "Dicionário")
dic<-as.data.frame(dic)
write_sav(dta,"dta_SPSScompleto.sav")#RECODE_NEEDED
dta$NUMATIVIDADES<-rowSums(dta[,c(69:78)])
dta[dta$NUMATIVIDADES==0,80]<-1
dta[dta$NUMATIVIDADES!=0,80]<-0
#RECODE_NEEDED
dta$LIDERANCA<-car::recode(dta$LIDERANCA,"NA=0")
dta$INOV05<-car::recode(dta$INOV05,"1=7;2=6;3=5;4=4;5=3;6=2;7=1;else=NA")
dta$CONHECIMENTOCAT<-car::recode(dta$CONHECIMENTO,"1:4=0;else=1")
#InclusionExclusion
dta<-dta[dta$AREACONHECIMENTO!="Sem área do conhecimento especializada",]
dta<-dta[dta$SETORORG!="Sou autônomo/ liberal",]
dta<-dta[dta$EXPTOTTRAB!=0,]
dta<-dta[dta$EXPTOTTRAB!=0,]
dta<-dta[dta$NENHUMAANTERIOR!=1,]
#ENSAIO
dta<-dta[dta$GENERO!="Identifico-me de outra forma",]
dta<-dta[dta$REGIAO!="Fora do Brasil (exterior)",]
dta<-dta[(dta$ESCOLARIDADE!="Ensino médio"|dta$ESCOLARIDADE!="Ensino técnico"),]
dta<-dta[(dta$AREACONHECIMENTO!="LinguÃstica, Letras e Artes"),]
dta<-dta[(dta$SETORORG!="Terceiro setor"),]
dta<-dta[(dta$RAMOATUAORG!="Esportes"|dta$RAMOATUAORG!="Turismo ou lazer"|dta$RAMOATUAORG!="Comércio"),]
dta<-dta[(dta$NENHUMAANTERIOR!=1),]
dta<-dta[(dta$CONHECIMENTOCAT!=0),]
#CleanedData
write_sav(dta,"dta_SPSSlimpo.sav")#SintaxWriting
source("SintaxWriting.R")#CFA Function
source("cfaFun.R")#Automatic CFAs First Runs
#source("CFAfirstRun.R")ASC TWO FACTORS ADJUST
#ASCBI - erros correlated
cat(print(paste(dim_scales[dim_scales$DIM==scales[1],4])))## [1] "ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03"
## ASCC=~ ASCC01+ASCC02+ASCC03
## ASCS=~ ASCS01+ASCS02+ASCS03#Low TLI and High RMSEA
source("add_term.R")
terms<-"\nASCS01 ~~ ASCS02\nASCC01 ~~ ASCC02"
add_term(1,terms)## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 FatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntcfaFun("ASCBI",F)## [1] "Modelo utilizado foi \n ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02"
## lavaan 0.6-9 ended normally after 25 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 45
##
## Number of observations 1076
##
## Model Test User Model:
## Standard Robust
## Test Statistic 33.204 74.405
## Degrees of freedom 6 6
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 0.452
## Shift parameter 0.909
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 13587.444 7824.030
## Degrees of freedom 15 15
## P-value 0.000 0.000
## Scaling correction factor 1.738
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.998 0.991
## Tucker-Lewis Index (TLI) 0.995 0.978
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.065 0.103
## 90 Percent confidence interval - lower 0.044 0.083
## 90 Percent confidence interval - upper 0.087 0.125
## P-value RMSEA <= 0.05 0.110 0.000
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.030 0.030
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## ASCC =~
## ASCC01 1.000 0.781 0.781
## ASCC02 1.154 0.031 37.214 0.000 0.902 0.902
## ASCC03 0.965 0.037 25.979 0.000 0.754 0.754
## ASCS =~
## ASCS01 1.000 0.636 0.636
## ASCS02 1.281 0.037 35.090 0.000 0.814 0.814
## ASCS03 1.346 0.059 22.834 0.000 0.855 0.855
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .ASCS01 ~~
## .ASCS02 0.239 0.023 10.614 0.000 0.239 0.533
## .ASCC01 ~~
## .ASCC02 -0.125 0.026 -4.903 0.000 -0.125 -0.464
## ASCC ~~
## ASCS 0.332 0.020 16.855 0.000 0.669 0.669
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .ASCC01 0.000 0.000 0.000
## .ASCC02 0.000 0.000 0.000
## .ASCC03 0.000 0.000 0.000
## .ASCS01 0.000 0.000 0.000
## .ASCS02 0.000 0.000 0.000
## .ASCS03 0.000 0.000 0.000
## ASCC 0.000 0.000 0.000
## ASCS 0.000 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## ASCC01|t1 -2.285 0.109 -20.911 0.000 -2.285 -2.285
## ASCC01|t2 -1.913 0.078 -24.390 0.000 -1.913 -1.913
## ASCC01|t3 -1.514 0.059 -25.532 0.000 -1.514 -1.514
## ASCC01|t4 -0.765 0.043 -17.966 0.000 -0.765 -0.765
## ASCC01|t5 -0.086 0.038 -2.255 0.024 -0.086 -0.086
## ASCC01|t6 0.883 0.044 19.990 0.000 0.883 0.883
## ASCC02|t1 -2.127 0.094 -22.607 0.000 -2.127 -2.127
## ASCC02|t2 -1.680 0.066 -25.454 0.000 -1.680 -1.680
## ASCC02|t3 -1.274 0.052 -24.529 0.000 -1.274 -1.274
## ASCC02|t4 -0.669 0.041 -16.112 0.000 -0.669 -0.669
## ASCC02|t5 -0.012 0.038 -0.305 0.761 -0.012 -0.012
## ASCC02|t6 0.856 0.044 19.548 0.000 0.856 0.856
## ASCC03|t1 -2.026 0.086 -23.528 0.000 -2.026 -2.026
## ASCC03|t2 -1.583 0.062 -25.574 0.000 -1.583 -1.583
## ASCC03|t3 -1.153 0.049 -23.499 0.000 -1.153 -1.153
## ASCC03|t4 -0.374 0.039 -9.545 0.000 -0.374 -0.374
## ASCC03|t5 0.305 0.039 7.850 0.000 0.305 0.305
## ASCC03|t6 1.108 0.048 23.038 0.000 1.108 1.108
## ASCS01|t1 -1.485 0.058 -25.483 0.000 -1.485 -1.485
## ASCS01|t2 -1.166 0.049 -23.633 0.000 -1.166 -1.166
## ASCS01|t3 -0.947 0.045 -20.965 0.000 -0.947 -0.947
## ASCS01|t4 -0.240 0.039 -6.210 0.000 -0.240 -0.240
## ASCS01|t5 0.211 0.039 5.481 0.000 0.211 0.211
## ASCS01|t6 0.862 0.044 19.659 0.000 0.862 0.862
## ASCS02|t1 -1.438 0.057 -25.360 0.000 -1.438 -1.438
## ASCS02|t2 -1.096 0.048 -22.896 0.000 -1.096 -1.096
## ASCS02|t3 -0.900 0.044 -20.264 0.000 -0.900 -0.900
## ASCS02|t4 -0.278 0.039 -7.182 0.000 -0.278 -0.278
## ASCS02|t5 0.221 0.039 5.724 0.000 0.221 0.221
## ASCS02|t6 0.836 0.043 19.213 0.000 0.836 0.836
## ASCS03|t1 -1.464 0.058 -25.435 0.000 -1.464 -1.464
## ASCS03|t2 -1.148 0.049 -23.454 0.000 -1.148 -1.148
## ASCS03|t3 -0.897 0.044 -20.209 0.000 -0.897 -0.897
## ASCS03|t4 -0.176 0.038 -4.569 0.000 -0.176 -0.176
## ASCS03|t5 0.340 0.039 8.698 0.000 0.340 0.340
## ASCS03|t6 1.054 0.047 22.409 0.000 1.054 1.054
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .ASCC01 0.390 0.390 0.390
## .ASCC02 0.187 0.187 0.187
## .ASCC03 0.432 0.432 0.432
## .ASCS01 0.596 0.596 0.596
## .ASCS02 0.337 0.337 0.337
## .ASCS03 0.269 0.269 0.269
## ASCC 0.610 0.033 18.623 0.000 1.000 1.000
## ASCS 0.404 0.028 14.323 0.000 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## ASCC01 1.000 1.000 1.000
## ASCC02 1.000 1.000 1.000
## ASCC03 1.000 1.000 1.000
## ASCS01 1.000 1.000 1.000
## ASCS02 1.000 1.000 1.000
## ASCS03 1.000 1.000 1.000
##
## R-Square:
## Estimate
## ASCC01 0.610
## ASCC02 0.813
## ASCC03 0.568
## ASCS01 0.404
## ASCS02 0.663
## ASCS03 0.731
##
## $FIT
## npar fmin
## 45.000 0.015
## chisq df
## 33.204 6.000
## pvalue chisq.scaled
## 0.000 74.405
## df.scaled pvalue.scaled
## 6.000 0.000
## chisq.scaling.factor baseline.chisq
## 0.452 13587.444
## baseline.df baseline.pvalue
## 15.000 0.000
## baseline.chisq.scaled baseline.df.scaled
## 7824.030 15.000
## baseline.pvalue.scaled baseline.chisq.scaling.factor
## 0.000 1.738
## cfi tli
## 0.998 0.995
## cfi.scaled tli.scaled
## 0.991 0.978
## cfi.robust tli.robust
## NA NA
## rmsea rmsea.ci.lower
## 0.065 0.044
## rmsea.ci.upper rmsea.pvalue
## 0.087 0.110
## rmsea.scaled rmsea.ci.lower.scaled
## 0.103 0.083
## rmsea.ci.upper.scaled rmsea.pvalue.scaled
## 0.125 0.000
## rmsea.robust rmsea.ci.lower.robust
## NA NA
## rmsea.ci.upper.robust rmsea.pvalue.robust
## NA NA
## srmr
## 0.030
##
## $PE
## lhs op rhs exo est se z pvalue
## 1 ASCC =~ ASCC01 0 1.00000000 0.00000000 NA NA
## 2 ASCC =~ ASCC02 0 1.15384550 0.03100562 37.2140748 0.000000e+00
## 3 ASCC =~ ASCC03 0 0.96478297 0.03713765 25.9785690 0.000000e+00
## 4 ASCS =~ ASCS01 0 1.00000000 0.00000000 NA NA
## 5 ASCS =~ ASCS02 0 1.28088844 0.03650248 35.0904515 0.000000e+00
## 6 ASCS =~ ASCS03 0 1.34550067 0.05892408 22.8344775 0.000000e+00
## 7 ASCS01 ~~ ASCS02 0 0.23886964 0.02250448 10.6143132 0.000000e+00
## 8 ASCC01 ~~ ASCC02 0 -0.12520024 0.02553480 -4.9031228 9.432495e-07
## 9 ASCC01 | t1 0 -2.28513637 0.10928104 -20.9106397 0.000000e+00
## 10 ASCC01 | t2 0 -1.91289042 0.07842855 -24.3902311 0.000000e+00
## 11 ASCC01 | t3 0 -1.51366225 0.05928481 -25.5320423 0.000000e+00
## 12 ASCC01 | t4 0 -0.76505647 0.04258277 -17.9663405 0.000000e+00
## 13 ASCC01 | t5 0 -0.08630148 0.03827750 -2.2546270 2.415675e-02
## 14 ASCC01 | t6 0 0.88283871 0.04416457 19.9897484 0.000000e+00
## 15 ASCC02 | t1 0 -2.12655290 0.09406795 -22.6065611 0.000000e+00
## 16 ASCC02 | t2 0 -1.68010544 0.06600630 -25.4537116 0.000000e+00
## 17 ASCC02 | t3 0 -1.27417266 0.05194478 -24.5293676 0.000000e+00
## 18 ASCC02 | t4 0 -0.66865203 0.04149938 -16.1123390 0.000000e+00
## 19 ASCC02 | t5 0 -0.01164816 0.03822667 -0.3047131 7.605847e-01
## 20 ASCC02 | t6 0 0.85564656 0.04377266 19.5475108 0.000000e+00
## 21 ASCC03 | t1 0 -2.02613522 0.08611714 -23.5276656 0.000000e+00
## 22 ASCC03 | t2 0 -1.58316922 0.06190626 -25.5736515 0.000000e+00
## 23 ASCC03 | t3 0 -1.15260967 0.04904936 -23.4989741 0.000000e+00
## 24 ASCC03 | t4 0 -0.37430362 0.03921492 -9.5449286 0.000000e+00
## 25 ASCC03 | t5 0 0.30518790 0.03887971 7.8495415 4.218847e-15
## 26 ASCC03 | t6 0 1.10847208 0.04811425 23.0383336 0.000000e+00
## 27 ASCS01 | t1 0 -1.48499002 0.05827405 -25.4828675 0.000000e+00
## 28 ASCS01 | t2 0 -1.16629691 0.04935137 -23.6325148 0.000000e+00
## 29 ASCS01 | t3 0 -0.94655385 0.04514964 -20.9648147 0.000000e+00
## 30 ASCS01 | t4 0 -0.23989853 0.03862814 -6.2104606 5.282950e-10
## 31 ASCS01 | t5 0 0.21122237 0.03853721 5.4809981 4.229329e-08
## 32 ASCS01 | t6 0 0.86238474 0.04386823 19.6585247 0.000000e+00
## 33 ASCS02 | t1 0 -1.43756464 0.05668684 -25.3597595 0.000000e+00
## 34 ASCS02 | t2 0 -1.09564491 0.04785328 -22.8959212 0.000000e+00
## 35 ASCS02 | t3 0 -0.90017009 0.04442312 -20.2635504 0.000000e+00
## 36 ASCS02 | t4 0 -0.27844713 0.03876913 -7.1821871 6.861178e-13
## 37 ASCS02 | t5 0 0.22076064 0.03856614 5.7242088 1.039169e-08
## 38 ASCS02 | t6 0 0.83566085 0.04349508 19.2127685 0.000000e+00
## 39 ASCS03 | t1 0 -1.46426090 0.05756762 -25.4354965 0.000000e+00
## 40 ASCS03 | t2 0 -1.14809495 0.04895101 -23.4539568 0.000000e+00
## 41 ASCS03 | t3 0 -0.89668229 0.04437053 -20.2089592 0.000000e+00
## 42 ASCS03 | t4 0 -0.17561706 0.03844070 -4.5685190 4.911826e-06
## 43 ASCS03 | t5 0 0.33954296 0.03903735 8.6979000 0.000000e+00
## 44 ASCS03 | t6 0 1.05413402 0.04704080 22.4089301 0.000000e+00
## 45 ASCC01 ~~ ASCC01 0 0.38952427 0.00000000 NA NA
## 46 ASCC02 ~~ ASCC02 0 0.18723738 0.00000000 NA NA
## 47 ASCC03 ~~ ASCC03 0 0.43176542 0.00000000 NA NA
## 48 ASCS01 ~~ ASCS01 0 0.59611421 0.00000000 NA NA
## 49 ASCS02 ~~ ASCS02 0 0.33735461 0.00000000 NA NA
## 50 ASCS03 ~~ ASCS03 0 0.26881646 0.00000000 NA NA
## 51 ASCC ~~ ASCC 0 0.61047573 0.03278112 18.6227861 0.000000e+00
## 52 ASCS ~~ ASCS 0 0.40388579 0.02819848 14.3229610 0.000000e+00
## 53 ASCC ~~ ASCS 0 0.33199076 0.01969663 16.8552025 0.000000e+00
## 54 ASCC01 ~*~ ASCC01 0 1.00000000 0.00000000 NA NA
## 55 ASCC02 ~*~ ASCC02 0 1.00000000 0.00000000 NA NA
## 56 ASCC03 ~*~ ASCC03 0 1.00000000 0.00000000 NA NA
## 57 ASCS01 ~*~ ASCS01 0 1.00000000 0.00000000 NA NA
## 58 ASCS02 ~*~ ASCS02 0 1.00000000 0.00000000 NA NA
## 59 ASCS03 ~*~ ASCS03 0 1.00000000 0.00000000 NA NA
## 60 ASCC01 ~1 0 0.00000000 0.00000000 NA NA
## 61 ASCC02 ~1 0 0.00000000 0.00000000 NA NA
## 62 ASCC03 ~1 0 0.00000000 0.00000000 NA NA
## 63 ASCS01 ~1 0 0.00000000 0.00000000 NA NA
## 64 ASCS02 ~1 0 0.00000000 0.00000000 NA NA
## 65 ASCS03 ~1 0 0.00000000 0.00000000 NA NA
## 66 ASCC ~1 0 0.00000000 0.00000000 NA NA
## 67 ASCS ~1 0 0.00000000 0.00000000 NA NA
## 68 ASCC01 r2 ASCC01 0 0.61047573 NA NA NA
## 69 ASCC02 r2 ASCC02 0 0.81276262 NA NA NA
## 70 ASCC03 r2 ASCC03 0 0.56823458 NA NA NA
## 71 ASCS01 r2 ASCS01 0 0.40388579 NA NA NA
## 72 ASCS02 r2 ASCS02 0 0.66264539 NA NA NA
## 73 ASCS03 r2 ASCS03 0 0.73118354 NA NA NA
## std.lv std.all std.nox
## 1 0.78132946 0.78132946 0.78132946
## 2 0.90153348 0.90153348 0.90153348
## 3 0.75381336 0.75381336 0.75381336
## 4 0.63552009 0.63552009 0.63552009
## 5 0.81403034 0.81403034 0.81403034
## 6 0.85509271 0.85509271 0.85509271
## 7 0.23886964 0.53266345 0.53266345
## 8 -0.12520024 -0.46359808 -0.46359808
## 9 -2.28513637 -2.28513637 -2.28513637
## 10 -1.91289042 -1.91289042 -1.91289042
## 11 -1.51366225 -1.51366225 -1.51366225
## 12 -0.76505647 -0.76505647 -0.76505647
## 13 -0.08630148 -0.08630148 -0.08630148
## 14 0.88283871 0.88283871 0.88283871
## 15 -2.12655290 -2.12655290 -2.12655290
## 16 -1.68010544 -1.68010544 -1.68010544
## 17 -1.27417266 -1.27417266 -1.27417266
## 18 -0.66865203 -0.66865203 -0.66865203
## 19 -0.01164816 -0.01164816 -0.01164816
## 20 0.85564656 0.85564656 0.85564656
## 21 -2.02613522 -2.02613522 -2.02613522
## 22 -1.58316922 -1.58316922 -1.58316922
## 23 -1.15260967 -1.15260967 -1.15260967
## 24 -0.37430362 -0.37430362 -0.37430362
## 25 0.30518790 0.30518790 0.30518790
## 26 1.10847208 1.10847208 1.10847208
## 27 -1.48499002 -1.48499002 -1.48499002
## 28 -1.16629691 -1.16629691 -1.16629691
## 29 -0.94655385 -0.94655385 -0.94655385
## 30 -0.23989853 -0.23989853 -0.23989853
## 31 0.21122237 0.21122237 0.21122237
## 32 0.86238474 0.86238474 0.86238474
## 33 -1.43756464 -1.43756464 -1.43756464
## 34 -1.09564491 -1.09564491 -1.09564491
## 35 -0.90017009 -0.90017009 -0.90017009
## 36 -0.27844713 -0.27844713 -0.27844713
## 37 0.22076064 0.22076064 0.22076064
## 38 0.83566085 0.83566085 0.83566085
## 39 -1.46426090 -1.46426090 -1.46426090
## 40 -1.14809495 -1.14809495 -1.14809495
## 41 -0.89668229 -0.89668229 -0.89668229
## 42 -0.17561706 -0.17561706 -0.17561706
## 43 0.33954296 0.33954296 0.33954296
## 44 1.05413402 1.05413402 1.05413402
## 45 0.38952427 0.38952427 0.38952427
## 46 0.18723738 0.18723738 0.18723738
## 47 0.43176542 0.43176542 0.43176542
## 48 0.59611421 0.59611421 0.59611421
## 49 0.33735461 0.33735461 0.33735461
## 50 0.26881646 0.26881646 0.26881646
## 51 1.00000000 1.00000000 1.00000000
## 52 1.00000000 1.00000000 1.00000000
## 53 0.66859405 0.66859405 0.66859405
## 54 1.00000000 1.00000000 1.00000000
## 55 1.00000000 1.00000000 1.00000000
## 56 1.00000000 1.00000000 1.00000000
## 57 1.00000000 1.00000000 1.00000000
## 58 1.00000000 1.00000000 1.00000000
## 59 1.00000000 1.00000000 1.00000000
## 60 0.00000000 0.00000000 0.00000000
## 61 0.00000000 0.00000000 0.00000000
## 62 0.00000000 0.00000000 0.00000000
## 63 0.00000000 0.00000000 0.00000000
## 64 0.00000000 0.00000000 0.00000000
## 65 0.00000000 0.00000000 0.00000000
## 66 0.00000000 0.00000000 0.00000000
## 67 0.00000000 0.00000000 0.00000000
## 68 NA NA NA
## 69 NA NA NA
## 70 NA NA NA
## 71 NA NA NA
## 72 NA NA NA
## 73 NA NA NA## For constructs with categorical indicators, Zumbo et al.`s (2007) "ordinal alpha" is calculated in addition to the standard alpha, which treats ordinal variables as numeric. See Chalmers (2018) for a critique of "alpha.ord" and the response by Zumbo & Kroc (2019). Likewise, average variance extracted is calculated from polychoric (polyserial) not Pearson correlations.## ASCC ASCS
## alpha 0.8067341 0.8462372
## alpha.ord 0.8273414 0.8565625
## omega 0.8614252 0.7330912
## omega2 0.8614252 0.7330912
## omega3 0.8620088 0.7328701
## avevar 0.6638243 0.5992382
## lhs op rhs mi epc sepc.lv sepc.all sepc.nox
## 84 ASCC03 ~~ ASCS03 28.133 0.189 0.189 0.555 0.555
## 83 ASCC03 ~~ ASCS02 10.802 -0.113 -0.113 -0.296 -0.296
## resultadoASCBIAEC
#AEC - no modification
paste(dim_scales[dim_scales$DIM==scales[2],4])## [1] "AEC=~AEC01+AEC02+AEC03+AEC04"cfaFun("AEC",F)## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## The variance-covariance matrix of the estimated parameters (vcov)
## does not appear to be positive definite! The smallest eigenvalue
## (= 3.218059e-19) is close to zero. This may be a symptom that the
## model is not identified.## [1] "Modelo utilizado foi \n AEC=~AEC01+AEC02+AEC03+AEC04"
## lavaan 0.6-9 ended normally after 13 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 28
##
## Number of observations 1076
##
## Model Test User Model:
## Standard Robust
## Test Statistic 4.133 11.649
## Degrees of freedom 2 2
## P-value (Chi-square) 0.127 0.003
## Scaling correction factor 0.355
## Shift parameter 0.016
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 7617.338 5414.774
## Degrees of freedom 6 6
## P-value 0.000 0.000
## Scaling correction factor 1.407
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 1.000 0.998
## Tucker-Lewis Index (TLI) 0.999 0.995
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.031 0.067
## 90 Percent confidence interval - lower 0.000 0.033
## 90 Percent confidence interval - upper 0.075 0.106
## P-value RMSEA <= 0.05 0.700 0.180
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.014 0.014
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## AEC =~
## AEC01 1.000 0.780 0.780
## AEC02 1.127 0.025 44.547 0.000 0.879 0.879
## AEC03 0.674 0.029 23.134 0.000 0.526 0.526
## AEC04 1.110 0.021 52.007 0.000 0.866 0.866
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .AEC01 0.000 0.000 0.000
## .AEC02 0.000 0.000 0.000
## .AEC03 0.000 0.000 0.000
## .AEC04 0.000 0.000 0.000
## AEC 0.000 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## AEC01|t1 -3.112 0.295 -10.541 0.000 -3.112 -3.112
## AEC01|t2 -2.538 0.143 -17.804 0.000 -2.538 -2.538
## AEC01|t3 -1.943 0.080 -24.182 0.000 -1.943 -1.943
## AEC01|t4 -1.223 0.051 -24.142 0.000 -1.223 -1.223
## AEC01|t5 -0.337 0.039 -8.637 0.000 -0.337 -0.337
## AEC01|t6 0.643 0.041 15.584 0.000 0.643 0.643
## AEC02|t1 -3.112 0.295 -10.541 0.000 -3.112 -3.112
## AEC02|t2 -2.772 0.188 -14.761 0.000 -2.772 -2.772
## AEC02|t3 -2.199 0.101 -21.865 0.000 -2.199 -2.199
## AEC02|t4 -1.720 0.068 -25.348 0.000 -1.720 -1.720
## AEC02|t5 -0.728 0.042 -17.276 0.000 -0.728 -0.728
## AEC02|t6 0.425 0.040 10.752 0.000 0.425 0.425
## AEC03|t1 -2.772 0.188 -14.761 0.000 -2.772 -2.772
## AEC03|t2 -2.354 0.117 -20.106 0.000 -2.354 -2.354
## AEC03|t3 -1.796 0.072 -25.053 0.000 -1.796 -1.796
## AEC03|t4 -0.900 0.044 -20.264 0.000 -0.900 -0.900
## AEC03|t5 -0.028 0.038 -0.731 0.465 -0.028 -0.028
## AEC03|t6 0.806 0.043 18.706 0.000 0.806 0.806
## AEC04|t1 -2.901 0.221 -13.100 0.000 -2.901 -2.901
## AEC04|t2 -2.677 0.167 -15.999 0.000 -2.677 -2.677
## AEC04|t3 -2.084 0.091 -23.015 0.000 -2.084 -2.084
## AEC04|t4 -1.457 0.057 -25.418 0.000 -1.457 -1.457
## AEC04|t5 -0.484 0.040 -12.135 0.000 -0.484 -0.484
## AEC04|t6 0.581 0.041 14.284 0.000 0.581 0.581
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .AEC01 0.392 0.392 0.392
## .AEC02 0.227 0.227 0.227
## .AEC03 0.724 0.724 0.724
## .AEC04 0.250 0.250 0.250
## AEC 0.608 0.023 26.681 0.000 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## AEC01 1.000 1.000 1.000
## AEC02 1.000 1.000 1.000
## AEC03 1.000 1.000 1.000
## AEC04 1.000 1.000 1.000
##
## R-Square:
## Estimate
## AEC01 0.608
## AEC02 0.773
## AEC03 0.276
## AEC04 0.750
##
## $FIT
## npar fmin
## 28.000 0.002
## chisq df
## 4.133 2.000
## pvalue chisq.scaled
## 0.127 11.649
## df.scaled pvalue.scaled
## 2.000 0.003
## chisq.scaling.factor baseline.chisq
## 0.355 7617.338
## baseline.df baseline.pvalue
## 6.000 0.000
## baseline.chisq.scaled baseline.df.scaled
## 5414.774 6.000
## baseline.pvalue.scaled baseline.chisq.scaling.factor
## 0.000 1.407
## cfi tli
## 1.000 0.999
## cfi.scaled tli.scaled
## 0.998 0.995
## cfi.robust tli.robust
## NA NA
## rmsea rmsea.ci.lower
## 0.031 0.000
## rmsea.ci.upper rmsea.pvalue
## 0.075 0.700
## rmsea.scaled rmsea.ci.lower.scaled
## 0.067 0.033
## rmsea.ci.upper.scaled rmsea.pvalue.scaled
## 0.106 0.180
## rmsea.robust rmsea.ci.lower.robust
## NA NA
## rmsea.ci.upper.robust rmsea.pvalue.robust
## NA NA
## srmr
## 0.014
##
## $PE
## lhs op rhs exo est se z pvalue std.lv
## 1 AEC =~ AEC01 0 1.0000000 0.00000000 NA NA 0.7798261
## 2 AEC =~ AEC02 0 1.1272938 0.02530555 44.5473000 0.0000000 0.8790931
## 3 AEC =~ AEC03 0 0.6741563 0.02914106 23.1342422 0.0000000 0.5257247
## 4 AEC =~ AEC04 0 1.1104485 0.02135199 52.0067851 0.0000000 0.8659567
## 5 AEC01 | t1 0 -3.1119220 0.29521896 -10.5410641 0.0000000 -3.1119220
## 6 AEC01 | t2 0 -2.5378864 0.14254683 -17.8038780 0.0000000 -2.5378864
## 7 AEC01 | t3 0 -1.9427646 0.08033769 -24.1824796 0.0000000 -1.9427646
## 8 AEC01 | t4 0 -1.2233710 0.05067496 -24.1415298 0.0000000 -1.2233710
## 9 AEC01 | t5 0 -0.3370762 0.03902544 -8.6373442 0.0000000 -0.3370762
## 10 AEC01 | t6 0 0.6426579 0.04123754 15.5842918 0.0000000 0.6426579
## 11 AEC02 | t1 0 -3.1119220 0.29521896 -10.5410641 0.0000000 -3.1119220
## 12 AEC02 | t2 0 -2.7717136 0.18777814 -14.7605766 0.0000000 -2.7717136
## 13 AEC02 | t3 0 -2.1989561 0.10057089 -21.8647383 0.0000000 -2.1989561
## 14 AEC02 | t4 0 -1.7196182 0.06784131 -25.3476572 0.0000000 -1.7196182
## 15 AEC02 | t5 0 -0.7281157 0.04214620 -17.2759520 0.0000000 -0.7281157
## 16 AEC02 | t6 0 0.4247709 0.03950572 10.7521355 0.0000000 0.4247709
## 17 AEC03 | t1 0 -2.7717136 0.18777814 -14.7605766 0.0000000 -2.7717136
## 18 AEC03 | t2 0 -2.3537049 0.11706629 -20.1057449 0.0000000 -2.3537049
## 19 AEC03 | t3 0 -1.7960240 0.07168816 -25.0532868 0.0000000 -1.7960240
## 20 AEC03 | t4 0 -0.9001701 0.04442312 -20.2635504 0.0000000 -0.9001701
## 21 AEC03 | t5 0 -0.0279586 0.03823115 -0.7313043 0.4645933 -0.0279586
## 22 AEC03 | t6 0 0.8062923 0.04310286 18.7062353 0.0000000 0.8062923
## 23 AEC04 | t1 0 -2.9011910 0.22146198 -13.1001762 0.0000000 -2.9011910
## 24 AEC04 | t2 0 -2.6767078 0.16730530 -15.9989418 0.0000000 -2.6767078
## 25 AEC04 | t3 0 -2.0838400 0.09054370 -23.0147437 0.0000000 -2.0838400
## 26 AEC04 | t4 0 -1.4574891 0.05734114 -25.4178589 0.0000000 -1.4574891
## 27 AEC04 | t5 0 -0.4841875 0.03989950 -12.1351784 0.0000000 -0.4841875
## 28 AEC04 | t6 0 0.5808548 0.04066410 14.2842162 0.0000000 0.5808548
## 29 AEC01 ~~ AEC01 0 0.3918712 0.00000000 NA NA 0.3918712
## 30 AEC02 ~~ AEC02 0 0.2271953 0.00000000 NA NA 0.2271953
## 31 AEC03 ~~ AEC03 0 0.7236135 0.00000000 NA NA 0.7236135
## 32 AEC04 ~~ AEC04 0 0.2501190 0.00000000 NA NA 0.2501190
## 33 AEC ~~ AEC 0 0.6081288 0.02279222 26.6814192 0.0000000 1.0000000
## 34 AEC01 ~*~ AEC01 0 1.0000000 0.00000000 NA NA 1.0000000
## 35 AEC02 ~*~ AEC02 0 1.0000000 0.00000000 NA NA 1.0000000
## 36 AEC03 ~*~ AEC03 0 1.0000000 0.00000000 NA NA 1.0000000
## 37 AEC04 ~*~ AEC04 0 1.0000000 0.00000000 NA NA 1.0000000
## 38 AEC01 ~1 0 0.0000000 0.00000000 NA NA 0.0000000
## 39 AEC02 ~1 0 0.0000000 0.00000000 NA NA 0.0000000
## 40 AEC03 ~1 0 0.0000000 0.00000000 NA NA 0.0000000
## 41 AEC04 ~1 0 0.0000000 0.00000000 NA NA 0.0000000
## 42 AEC ~1 0 0.0000000 0.00000000 NA NA 0.0000000
## 43 AEC01 r2 AEC01 0 0.6081288 NA NA NA NA
## 44 AEC02 r2 AEC02 0 0.7728047 NA NA NA NA
## 45 AEC03 r2 AEC03 0 0.2763865 NA NA NA NA
## 46 AEC04 r2 AEC04 0 0.7498810 NA NA NA NA
## std.all std.nox
## 1 0.7798261 0.7798261
## 2 0.8790931 0.8790931
## 3 0.5257247 0.5257247
## 4 0.8659567 0.8659567
## 5 -3.1119220 -3.1119220
## 6 -2.5378864 -2.5378864
## 7 -1.9427646 -1.9427646
## 8 -1.2233710 -1.2233710
## 9 -0.3370762 -0.3370762
## 10 0.6426579 0.6426579
## 11 -3.1119220 -3.1119220
## 12 -2.7717136 -2.7717136
## 13 -2.1989561 -2.1989561
## 14 -1.7196182 -1.7196182
## 15 -0.7281157 -0.7281157
## 16 0.4247709 0.4247709
## 17 -2.7717136 -2.7717136
## 18 -2.3537049 -2.3537049
## 19 -1.7960240 -1.7960240
## 20 -0.9001701 -0.9001701
## 21 -0.0279586 -0.0279586
## 22 0.8062923 0.8062923
## 23 -2.9011910 -2.9011910
## 24 -2.6767078 -2.6767078
## 25 -2.0838400 -2.0838400
## 26 -1.4574891 -1.4574891
## 27 -0.4841875 -0.4841875
## 28 0.5808548 0.5808548
## 29 0.3918712 0.3918712
## 30 0.2271953 0.2271953
## 31 0.7236135 0.7236135
## 32 0.2501190 0.2501190
## 33 1.0000000 1.0000000
## 34 1.0000000 1.0000000
## 35 1.0000000 1.0000000
## 36 1.0000000 1.0000000
## 37 1.0000000 1.0000000
## 38 0.0000000 0.0000000
## 39 0.0000000 0.0000000
## 40 0.0000000 0.0000000
## 41 0.0000000 0.0000000
## 42 0.0000000 0.0000000
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA## For constructs with categorical indicators, Zumbo et al.`s (2007) "ordinal alpha" is calculated in addition to the standard alpha, which treats ordinal variables as numeric. See Chalmers (2018) for a critique of "alpha.ord" and the response by Zumbo & Kroc (2019). Likewise, average variance extracted is calculated from polychoric (polyserial) not Pearson correlations.## AEC
## alpha 0.7985733
## alpha.ord 0.8433465
## omega 0.8042907
## omega2 0.8042907
## omega3 0.8052617
## avevar 0.6018003
## [1] lhs op rhs mi epc sepc.lv sepc.all sepc.nox
## <0 rows> (or 0-length row.names)
## resultadoAECESCASSEZ DE RECURSOS
#ESCRECURSO
paste(dim_scales[dim_scales$DIM==scales[6],4])## [1] "ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04"terms<-"\nESCRECURSO03 ~~ ESCRECURSO04"
add_term(6,terms)## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PEDPRODPROC+MELHORIA+ANALCRIT+AVALPROGPROJPROC
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04 \nAUTON01\t~~\tAUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06 \nINOV01~~INOV02
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 FatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntcfaFun("ESCRECURSO",F)## [1] "Modelo utilizado foi \n ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04"
## lavaan 0.6-9 ended normally after 20 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 21
##
## Number of observations 1076
##
## Model Test User Model:
## Standard Robust
## Test Statistic 0.240 1.719
## Degrees of freedom 1 1
## P-value (Chi-square) 0.624 0.190
## Scaling correction factor 0.140
## Shift parameter -0.000
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 10108.435 6611.880
## Degrees of freedom 6 6
## P-value 0.000 0.000
## Scaling correction factor 1.529
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 1.000 1.000
## Tucker-Lewis Index (TLI) 1.000 0.999
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.000 0.026
## 90 Percent confidence interval - lower 0.000 0.000
## 90 Percent confidence interval - upper 0.064 0.090
## P-value RMSEA <= 0.05 0.891 0.630
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.003 0.003
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## ESCRECURSO =~
## ESCRECURSO01 1.000 0.811 0.811
## ESCRECURSO02 1.156 0.028 40.934 0.000 0.938 0.938
## ESCRECURSO03 0.865 0.020 43.409 0.000 0.701 0.701
## ESCRECURSO04 0.797 0.022 36.211 0.000 0.646 0.646
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .ESCRECURSO03 ~~
## .ESCRECURSO04 0.252 0.018 13.725 0.000 0.252 0.464
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .ESCRECURSO01 0.000 0.000 0.000
## .ESCRECURSO02 0.000 0.000 0.000
## .ESCRECURSO03 0.000 0.000 0.000
## .ESCRECURSO04 0.000 0.000 0.000
## ESCRECURSO 0.000 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## ESCRECURSO01|1 -1.079 0.048 -22.703 0.000 -1.079 -1.079
## ESCRECURSO01|2 -0.654 0.041 -15.819 0.000 -0.654 -0.654
## ESCRECURSO01|3 0.105 0.038 2.742 0.006 0.105 0.105
## ESCRECURSO01|4 0.810 0.043 18.763 0.000 0.810 0.810
## ESCRECURSO02|1 -0.965 0.045 -21.230 0.000 -0.965 -0.965
## ESCRECURSO02|2 -0.570 0.041 -14.047 0.000 -0.570 -0.570
## ESCRECURSO02|3 0.107 0.038 2.803 0.005 0.107 0.107
## ESCRECURSO02|4 0.829 0.043 19.101 0.000 0.829 0.829
## ESCRECURSO03|1 -1.030 0.047 -22.109 0.000 -1.030 -1.030
## ESCRECURSO03|2 -0.606 0.041 -14.818 0.000 -0.606 -0.606
## ESCRECURSO03|3 0.173 0.038 4.508 0.000 0.173 0.173
## ESCRECURSO03|4 1.014 0.046 21.905 0.000 1.014 1.014
## ESCRECURSO04|1 -1.079 0.048 -22.703 0.000 -1.079 -1.079
## ESCRECURSO04|2 -0.666 0.041 -16.054 0.000 -0.666 -0.666
## ESCRECURSO04|3 0.121 0.038 3.168 0.002 0.121 0.121
## ESCRECURSO04|4 0.925 0.045 20.643 0.000 0.925 0.925
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .ESCRECURSO01 0.343 0.343 0.343
## .ESCRECURSO02 0.121 0.121 0.121
## .ESCRECURSO03 0.508 0.508 0.508
## .ESCRECURSO04 0.583 0.583 0.583
## ESCRECURSO 0.657 0.022 29.725 0.000 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## ESCRECURSO01 1.000 1.000 1.000
## ESCRECURSO02 1.000 1.000 1.000
## ESCRECURSO03 1.000 1.000 1.000
## ESCRECURSO04 1.000 1.000 1.000
##
## R-Square:
## Estimate
## ESCRECURSO01 0.657
## ESCRECURSO02 0.879
## ESCRECURSO03 0.492
## ESCRECURSO04 0.417
##
## $FIT
## npar fmin
## 21.000 0.000
## chisq df
## 0.240 1.000
## pvalue chisq.scaled
## 0.624 1.719
## df.scaled pvalue.scaled
## 1.000 0.190
## chisq.scaling.factor baseline.chisq
## 0.140 10108.435
## baseline.df baseline.pvalue
## 6.000 0.000
## baseline.chisq.scaled baseline.df.scaled
## 6611.880 6.000
## baseline.pvalue.scaled baseline.chisq.scaling.factor
## 0.000 1.529
## cfi tli
## 1.000 1.000
## cfi.scaled tli.scaled
## 1.000 0.999
## cfi.robust tli.robust
## NA NA
## rmsea rmsea.ci.lower
## 0.000 0.000
## rmsea.ci.upper rmsea.pvalue
## 0.064 0.891
## rmsea.scaled rmsea.ci.lower.scaled
## 0.026 0.000
## rmsea.ci.upper.scaled rmsea.pvalue.scaled
## 0.090 0.630
## rmsea.robust rmsea.ci.lower.robust
## NA 0.000
## rmsea.ci.upper.robust rmsea.pvalue.robust
## NA NA
## srmr
## 0.003
##
## $PE
## lhs op rhs exo est se z
## 1 ESCRECURSO =~ ESCRECURSO01 0 1.0000000 0.00000000 NA
## 2 ESCRECURSO =~ ESCRECURSO02 0 1.1564127 0.02825069 40.933962
## 3 ESCRECURSO =~ ESCRECURSO03 0 0.8649955 0.01992669 43.408892
## 4 ESCRECURSO =~ ESCRECURSO04 0 0.7965208 0.02199682 36.210733
## 5 ESCRECURSO03 ~~ ESCRECURSO04 0 0.2522582 0.01837881 13.725496
## 6 ESCRECURSO01 | t1 0 -1.0788174 0.04751808 -22.703301
## 7 ESCRECURSO01 | t2 0 -0.6541562 0.04135183 -15.819283
## 8 ESCRECURSO01 | t3 0 0.1050239 0.03830243 2.741963
## 9 ESCRECURSO01 | t4 0 0.8095209 0.04314508 18.762762
## 10 ESCRECURSO02 | t1 0 -0.9649447 0.04545205 -21.229950
## 11 ESCRECURSO02 | t2 0 -0.5698591 0.04056914 -14.046617
## 12 ESCRECURSO02 | t3 0 0.1073666 0.03830589 2.802875
## 13 ESCRECURSO02 | t4 0 0.8290728 0.04340548 19.100647
## 14 ESCRECURSO03 | t1 0 -1.0300768 0.04659169 -22.108594
## 15 ESCRECURSO03 | t2 0 -0.6058571 0.04088790 -14.817515
## 16 ESCRECURSO03 | t3 0 0.1732518 0.03843493 4.507665
## 17 ESCRECURSO03 | t4 0 1.0143644 0.04630672 21.905338
## 18 ESCRECURSO04 | t1 0 -1.0788174 0.04751808 -22.703301
## 19 ESCRECURSO04 | t2 0 -0.6657417 0.04146944 -16.053791
## 20 ESCRECURSO04 | t3 0 0.1214360 0.03832832 3.168309
## 21 ESCRECURSO04 | t4 0 0.9248987 0.04480409 20.643176
## 22 ESCRECURSO01 ~~ ESCRECURSO01 0 0.3425687 0.00000000 NA
## 23 ESCRECURSO02 ~~ ESCRECURSO02 0 0.1208235 0.00000000 NA
## 24 ESCRECURSO03 ~~ ESCRECURSO03 0 0.5080986 0.00000000 NA
## 25 ESCRECURSO04 ~~ ESCRECURSO04 0 0.5828957 0.00000000 NA
## 26 ESCRECURSO ~~ ESCRECURSO 0 0.6574313 0.02211712 29.724993
## 27 ESCRECURSO01 ~*~ ESCRECURSO01 0 1.0000000 0.00000000 NA
## 28 ESCRECURSO02 ~*~ ESCRECURSO02 0 1.0000000 0.00000000 NA
## 29 ESCRECURSO03 ~*~ ESCRECURSO03 0 1.0000000 0.00000000 NA
## 30 ESCRECURSO04 ~*~ ESCRECURSO04 0 1.0000000 0.00000000 NA
## 31 ESCRECURSO01 ~1 0 0.0000000 0.00000000 NA
## 32 ESCRECURSO02 ~1 0 0.0000000 0.00000000 NA
## 33 ESCRECURSO03 ~1 0 0.0000000 0.00000000 NA
## 34 ESCRECURSO04 ~1 0 0.0000000 0.00000000 NA
## 35 ESCRECURSO ~1 0 0.0000000 0.00000000 NA
## 36 ESCRECURSO01 r2 ESCRECURSO01 0 0.6574313 NA NA
## 37 ESCRECURSO02 r2 ESCRECURSO02 0 0.8791765 NA NA
## 38 ESCRECURSO03 r2 ESCRECURSO03 0 0.4919014 NA NA
## 39 ESCRECURSO04 r2 ESCRECURSO04 0 0.4171043 NA NA
## pvalue std.lv std.all std.nox
## 1 NA 0.8108214 0.8108214 0.8108214
## 2 0.000000e+00 0.9376441 0.9376441 0.9376441
## 3 0.000000e+00 0.7013569 0.7013569 0.7013569
## 4 0.000000e+00 0.6458361 0.6458361 0.6458361
## 5 0.000000e+00 0.2522582 0.4635280 0.4635280
## 6 0.000000e+00 -1.0788174 -1.0788174 -1.0788174
## 7 0.000000e+00 -0.6541562 -0.6541562 -0.6541562
## 8 6.107313e-03 0.1050239 0.1050239 0.1050239
## 9 0.000000e+00 0.8095209 0.8095209 0.8095209
## 10 0.000000e+00 -0.9649447 -0.9649447 -0.9649447
## 11 0.000000e+00 -0.5698591 -0.5698591 -0.5698591
## 12 5.064937e-03 0.1073666 0.1073666 0.1073666
## 13 0.000000e+00 0.8290728 0.8290728 0.8290728
## 14 0.000000e+00 -1.0300768 -1.0300768 -1.0300768
## 15 0.000000e+00 -0.6058571 -0.6058571 -0.6058571
## 16 6.554499e-06 0.1732518 0.1732518 0.1732518
## 17 0.000000e+00 1.0143644 1.0143644 1.0143644
## 18 0.000000e+00 -1.0788174 -1.0788174 -1.0788174
## 19 0.000000e+00 -0.6657417 -0.6657417 -0.6657417
## 20 1.533283e-03 0.1214360 0.1214360 0.1214360
## 21 0.000000e+00 0.9248987 0.9248987 0.9248987
## 22 NA 0.3425687 0.3425687 0.3425687
## 23 NA 0.1208235 0.1208235 0.1208235
## 24 NA 0.5080986 0.5080986 0.5080986
## 25 NA 0.5828957 0.5828957 0.5828957
## 26 0.000000e+00 1.0000000 1.0000000 1.0000000
## 27 NA 1.0000000 1.0000000 1.0000000
## 28 NA 1.0000000 1.0000000 1.0000000
## 29 NA 1.0000000 1.0000000 1.0000000
## 30 NA 1.0000000 1.0000000 1.0000000
## 31 NA 0.0000000 0.0000000 0.0000000
## 32 NA 0.0000000 0.0000000 0.0000000
## 33 NA 0.0000000 0.0000000 0.0000000
## 34 NA 0.0000000 0.0000000 0.0000000
## 35 NA 0.0000000 0.0000000 0.0000000
## 36 NA NA NA NA
## 37 NA NA NA NA
## 38 NA NA NA NA
## 39 NA NA NA NA## For constructs with categorical indicators, Zumbo et al.`s (2007) "ordinal alpha" is calculated in addition to the standard alpha, which treats ordinal variables as numeric. See Chalmers (2018) for a critique of "alpha.ord" and the response by Zumbo & Kroc (2019). Likewise, average variance extracted is calculated from polychoric (polyserial) not Pearson correlations.## ESCRECURSO
## alpha 0.8476707
## alpha.ord 0.8751861
## omega 0.8036360
## omega2 0.8036360
## omega3 0.8036905
## avevar 0.6114034
## [1] lhs op rhs mi epc sepc.lv sepc.all sepc.nox
## <0 rows> (or 0-length row.names)
## resultadoESCRECURSORESULTADO INOVAÇÃO
#ResInov
paste(dim_scales[dim_scales$DIM==scales[7],4])## [1] "ResInov=~RESINOV01+RESINOV02+RESINOV03"dim_scales[dim_scales$DIM==scales[7],4]<-paste("ResInov=~RESINOV01+1*RESINOV02+RESINOV03")
cfaFun("ResInov",F)## [1] "Modelo utilizado foi \n ResInov=~RESINOV01+1*RESINOV02+RESINOV03"
## lavaan 0.6-9 ended normally after 9 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 14
##
## Number of observations 1076
##
## Model Test User Model:
## Standard Robust
## Test Statistic 1.042 2.724
## Degrees of freedom 1 1
## P-value (Chi-square) 0.307 0.099
## Scaling correction factor 0.382
## Shift parameter 0.000
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 19562.664 15078.897
## Degrees of freedom 3 3
## P-value 0.000 0.000
## Scaling correction factor 1.297
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 1.000 1.000
## Tucker-Lewis Index (TLI) 1.000 1.000
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.006 0.040
## 90 Percent confidence interval - lower 0.000 0.000
## 90 Percent confidence interval - upper 0.081 0.101
## P-value RMSEA <= 0.05 0.736 0.496
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.004 0.004
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## ResInov =~
## RESINOV01 1.000 0.915 0.915
## RESINOV02 1.000 0.915 0.915
## RESINOV03 0.998 0.010 98.112 0.000 0.913 0.913
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .RESINOV01 0.000 0.000 0.000
## .RESINOV02 0.000 0.000 0.000
## .RESINOV03 0.000 0.000 0.000
## ResInov 0.000 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## RESINOV01|t1 -1.575 0.062 -25.574 0.000 -1.575 -1.575
## RESINOV01|t2 -1.022 0.046 -22.007 0.000 -1.022 -1.022
## RESINOV01|t3 -0.313 0.039 -8.031 0.000 -0.313 -0.313
## RESINOV01|t4 0.765 0.043 17.966 0.000 0.765 0.765
## RESINOV02|t1 -1.334 0.054 -24.908 0.000 -1.334 -1.334
## RESINOV02|t2 -0.836 0.043 -19.213 0.000 -0.836 -0.836
## RESINOV02|t3 -0.254 0.039 -6.575 0.000 -0.254 -0.254
## RESINOV02|t4 0.537 0.040 13.332 0.000 0.537 0.537
## RESINOV03|t1 -1.591 0.062 -25.571 0.000 -1.591 -1.591
## RESINOV03|t2 -1.071 0.047 -22.606 0.000 -1.071 -1.071
## RESINOV03|t3 -0.322 0.039 -8.274 0.000 -0.322 -0.322
## RESINOV03|t4 0.595 0.041 14.581 0.000 0.595 0.595
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .RESINOV01 0.164 0.164 0.164
## .RESINOV02 0.164 0.164 0.164
## .RESINOV03 0.167 0.167 0.167
## ResInov 0.836 0.010 82.727 0.000 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## RESINOV01 1.000 1.000 1.000
## RESINOV02 1.000 1.000 1.000
## RESINOV03 1.000 1.000 1.000
##
## R-Square:
## Estimate
## RESINOV01 0.836
## RESINOV02 0.836
## RESINOV03 0.833
##
## $FIT
## npar fmin
## 14.000 0.000
## chisq df
## 1.042 1.000
## pvalue chisq.scaled
## 0.307 2.724
## df.scaled pvalue.scaled
## 1.000 0.099
## chisq.scaling.factor baseline.chisq
## 0.382 19562.664
## baseline.df baseline.pvalue
## 3.000 0.000
## baseline.chisq.scaled baseline.df.scaled
## 15078.897 3.000
## baseline.pvalue.scaled baseline.chisq.scaling.factor
## 0.000 1.297
## cfi tli
## 1.000 1.000
## cfi.scaled tli.scaled
## 1.000 1.000
## cfi.robust tli.robust
## NA NA
## rmsea rmsea.ci.lower
## 0.006 0.000
## rmsea.ci.upper rmsea.pvalue
## 0.081 0.736
## rmsea.scaled rmsea.ci.lower.scaled
## 0.040 0.000
## rmsea.ci.upper.scaled rmsea.pvalue.scaled
## 0.101 0.496
## rmsea.robust rmsea.ci.lower.robust
## NA 0.000
## rmsea.ci.upper.robust rmsea.pvalue.robust
## NA NA
## srmr
## 0.004
##
## $PE
## lhs op rhs exo est se z pvalue
## 1 ResInov =~ RESINOV01 0 1.0000000 0.00000000 NA NA
## 2 ResInov =~ RESINOV02 0 1.0000000 0.00000000 NA NA
## 3 ResInov =~ RESINOV03 0 0.9980797 0.01017287 98.111882 0.000000e+00
## 4 RESINOV01 | t1 0 -1.5750642 0.06158756 -25.574387 0.000000e+00
## 5 RESINOV01 | t2 0 -1.0221890 0.04644782 -22.007256 0.000000e+00
## 6 RESINOV01 | t3 0 -0.3125181 0.03891187 -8.031433 8.881784e-16
## 7 RESINOV01 | t4 0 0.7650565 0.04258277 17.966341 0.000000e+00
## 8 RESINOV02 | t1 0 -1.3341456 0.05356313 -24.907910 0.000000e+00
## 9 RESINOV02 | t2 0 -0.8356609 0.04349508 -19.212768 0.000000e+00
## 10 RESINOV02 | t3 0 -0.2543094 0.03867831 -6.574988 4.865730e-11
## 11 RESINOV02 | t4 0 0.5372744 0.04029992 13.331899 0.000000e+00
## 12 RESINOV03 | t1 0 -1.5913796 0.06223274 -25.571421 0.000000e+00
## 13 RESINOV03 | t2 0 -1.0705171 0.04735570 -22.605878 0.000000e+00
## 14 RESINOV03 | t3 0 -0.3223179 0.03895611 -8.273872 2.220446e-16
## 15 RESINOV03 | t4 0 0.5946991 0.04078667 14.580724 0.000000e+00
## 16 RESINOV01 ~~ RESINOV01 0 0.1636173 0.00000000 NA NA
## 17 RESINOV02 ~~ RESINOV02 0 0.1636173 0.00000000 NA NA
## 18 RESINOV03 ~~ RESINOV03 0 0.1668263 0.00000000 NA NA
## 19 ResInov ~~ ResInov 0 0.8363827 0.01011013 82.727188 0.000000e+00
## 20 RESINOV01 ~*~ RESINOV01 0 1.0000000 0.00000000 NA NA
## 21 RESINOV02 ~*~ RESINOV02 0 1.0000000 0.00000000 NA NA
## 22 RESINOV03 ~*~ RESINOV03 0 1.0000000 0.00000000 NA NA
## 23 RESINOV01 ~1 0 0.0000000 0.00000000 NA NA
## 24 RESINOV02 ~1 0 0.0000000 0.00000000 NA NA
## 25 RESINOV03 ~1 0 0.0000000 0.00000000 NA NA
## 26 ResInov ~1 0 0.0000000 0.00000000 NA NA
## 27 RESINOV01 r2 RESINOV01 0 0.8363827 NA NA NA
## 28 RESINOV02 r2 RESINOV02 0 0.8363827 NA NA NA
## 29 RESINOV03 r2 RESINOV03 0 0.8331737 NA NA NA
## std.lv std.all std.nox
## 1 0.9145396 0.9145396 0.9145396
## 2 0.9145396 0.9145396 0.9145396
## 3 0.9127835 0.9127835 0.9127835
## 4 -1.5750642 -1.5750642 -1.5750642
## 5 -1.0221890 -1.0221890 -1.0221890
## 6 -0.3125181 -0.3125181 -0.3125181
## 7 0.7650565 0.7650565 0.7650565
## 8 -1.3341456 -1.3341456 -1.3341456
## 9 -0.8356609 -0.8356609 -0.8356609
## 10 -0.2543094 -0.2543094 -0.2543094
## 11 0.5372744 0.5372744 0.5372744
## 12 -1.5913796 -1.5913796 -1.5913796
## 13 -1.0705171 -1.0705171 -1.0705171
## 14 -0.3223179 -0.3223179 -0.3223179
## 15 0.5946991 0.5946991 0.5946991
## 16 0.1636173 0.1636173 0.1636173
## 17 0.1636173 0.1636173 0.1636173
## 18 0.1668263 0.1668263 0.1668263
## 19 1.0000000 1.0000000 1.0000000
## 20 1.0000000 1.0000000 1.0000000
## 21 1.0000000 1.0000000 1.0000000
## 22 1.0000000 1.0000000 1.0000000
## 23 0.0000000 0.0000000 0.0000000
## 24 0.0000000 0.0000000 0.0000000
## 25 0.0000000 0.0000000 0.0000000
## 26 0.0000000 0.0000000 0.0000000
## 27 NA NA NA
## 28 NA NA NA
## 29 NA NA NA## For constructs with categorical indicators, Zumbo et al.`s (2007) "ordinal alpha" is calculated in addition to the standard alpha, which treats ordinal variables as numeric. See Chalmers (2018) for a critique of "alpha.ord" and the response by Zumbo & Kroc (2019). Likewise, average variance extracted is calculated from polychoric (polyserial) not Pearson correlations.## ResInov
## alpha 0.9079885
## alpha.ord 0.9379898
## omega 0.9107177
## omega2 0.9107177
## omega3 0.9110139
## avevar 0.8353130
## [1] lhs op rhs mi epc sepc.lv sepc.all sepc.nox
## <0 rows> (or 0-length row.names)
## resultadoResInov#Keep it as previous
dim_scales[dim_scales$DIM==scales[7],4]<-paste("ResInov=~RESINOV01+RESINOV02+RESINOV03")FATORES EXTERNOS
# MODELO UNIFATORIAL REMOVED DEPENRECEXT01+ AND CORRELATED ERROS
dim_scales[dim_scales$DIM==scales[8],4]<-original
clean_item(8,"InovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT")## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PEDPRODPROC+MELHORIA+ANALCRIT+AVALPROGPROJPROC
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04 \nAUTON01\t~~\tAUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06 \nINOV01~~INOV02
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 FatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\n
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntclean_item(8,"FatExtInovDEPENRECEXT=~")## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PEDPRODPROC+MELHORIA+ANALCRIT+AVALPROGPROJPROC
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04 \nAUTON01\t~~\tAUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06 \nINOV01~~INOV02
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\n
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntclean_item(8,"FatExtInovEFETRELEXT=~")## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PEDPRODPROC+MELHORIA+ANALCRIT+AVALPROGPROJPROC
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04 \nAUTON01\t~~\tAUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06 \nINOV01~~INOV02
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 DEPENRECEXT01+DEPENRECEXT02\nEFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\n
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntclean_item(8,"FatExtInovFORMALRELEXT=~")## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PEDPRODPROC+MELHORIA+ANALCRIT+AVALPROGPROJPROC
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04 \nAUTON01\t~~\tAUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06 \nINOV01~~INOV02
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 DEPENRECEXT01+DEPENRECEXT02\nEFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFORMALRELEXT01+FORMALRELEXT02\n
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntdim_scales[dim_scales$DIM==scales[8],4]<-paste("InovFatExt=~",dim_scales[dim_scales$DIM==scales[8],4])
string<-paste(dim_scales[dim_scales$DIM==scales[8],4])
pattern<-fixed("\nEFETRELEXT01")
replacement<-"+EFETRELEXT01"
string<-str_replace(string,pattern,replacement)
dim_scales[dim_scales$DIM==scales[8],4]<-string
cat(string)## InovFatExt=~ DEPENRECEXT01+DEPENRECEXT02+EFETRELEXT01+EFETRELEXT02+EFETRELEXT03
## FORMALRELEXT01+FORMALRELEXT02string<-paste(dim_scales[dim_scales$DIM==scales[8],4])
pattern<-fixed("\nFORMALRELEXT01")
replacement<-"+FORMALRELEXT01"
string<-str_replace(string,pattern,replacement)
dim_scales[dim_scales$DIM==scales[8],4]<-string
cat(string)## InovFatExt=~ DEPENRECEXT01+DEPENRECEXT02+EFETRELEXT01+EFETRELEXT02+EFETRELEXT03+FORMALRELEXT01+FORMALRELEXT02clean_item(8,"DEPENRECEXT01+")## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PEDPRODPROC+MELHORIA+ANALCRIT+AVALPROGPROJPROC
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04 \nAUTON01\t~~\tAUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06 \nINOV01~~INOV02
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 InovFatExt=~ DEPENRECEXT02+EFETRELEXT01+EFETRELEXT02+EFETRELEXT03+FORMALRELEXT01+FORMALRELEXT02\n
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntterms<-"
\nDEPENRECEXT02~~FORMALRELEXT01
\nFORMALRELEXT01~~FORMALRELEXT02
\nDEPENRECEXT02~~FORMALRELEXT02"
add_term(8,terms)## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PEDPRODPROC+MELHORIA+ANALCRIT+AVALPROGPROJPROC
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04 \nAUTON01\t~~\tAUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06 \nINOV01~~INOV02
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 InovFatExt=~ DEPENRECEXT02+EFETRELEXT01+EFETRELEXT02+EFETRELEXT03+FORMALRELEXT01+FORMALRELEXT02\n \n\nDEPENRECEXT02~~FORMALRELEXT01\n\nFORMALRELEXT01~~FORMALRELEXT02\n\nDEPENRECEXT02~~FORMALRELEXT02
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntcfaFun("InovFatExt",F)## [1] "Modelo utilizado foi \n InovFatExt=~ DEPENRECEXT02+EFETRELEXT01+EFETRELEXT02+EFETRELEXT03+FORMALRELEXT01+FORMALRELEXT02\n \n\nDEPENRECEXT02~~FORMALRELEXT01\n\nFORMALRELEXT01~~FORMALRELEXT02\n\nDEPENRECEXT02~~FORMALRELEXT02"
## lavaan 0.6-9 ended normally after 27 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 33
##
## Number of observations 1076
##
## Model Test User Model:
## Standard Robust
## Test Statistic 12.267 46.617
## Degrees of freedom 6 6
## P-value (Chi-square) 0.056 0.000
## Scaling correction factor 0.265
## Shift parameter 0.379
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 29059.080 14048.690
## Degrees of freedom 15 15
## P-value 0.000 0.000
## Scaling correction factor 2.070
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 1.000 0.997
## Tucker-Lewis Index (TLI) 0.999 0.993
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.031 0.079
## 90 Percent confidence interval - lower 0.000 0.059
## 90 Percent confidence interval - upper 0.056 0.101
## P-value RMSEA <= 0.05 0.882 0.010
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.013 0.013
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## InovFatExt =~
## DEPENRECEXT02 1.000 0.708 0.708
## EFETRELEXT01 1.302 0.030 42.937 0.000 0.922 0.922
## EFETRELEXT02 1.237 0.028 44.426 0.000 0.876 0.876
## EFETRELEXT03 1.112 0.028 39.457 0.000 0.787 0.787
## FORMALRELEXT01 1.084 0.020 53.498 0.000 0.768 0.768
## FORMALRELEXT02 1.039 0.025 41.811 0.000 0.736 0.736
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .DEPENRECEXT02 ~~
## .FORMALRELEXT01 0.239 0.017 13.945 0.000 0.239 0.527
## .FORMALRELEXT01 ~~
## .FORMALRELEXT02 0.138 0.015 9.076 0.000 0.138 0.318
## .DEPENRECEXT02 ~~
## .FORMALRELEXT02 0.104 0.016 6.661 0.000 0.104 0.218
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .DEPENRECEXT02 0.000 0.000 0.000
## .EFETRELEXT01 0.000 0.000 0.000
## .EFETRELEXT02 0.000 0.000 0.000
## .EFETRELEXT03 0.000 0.000 0.000
## .FORMALRELEXT01 0.000 0.000 0.000
## .FORMALRELEXT02 0.000 0.000 0.000
## InovFatExt 0.000 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## DEPENRECEXT02| -1.351 0.054 -25.001 0.000 -1.351 -1.351
## DEPENRECEXT02| -0.999 0.046 -21.700 0.000 -0.999 -0.999
## DEPENRECEXT02| -0.337 0.039 -8.637 0.000 -0.337 -0.337
## DEPENRECEXT02| 0.640 0.041 15.525 0.000 0.640 0.640
## EFETRELEXT01|1 -1.643 0.064 -25.523 0.000 -1.643 -1.643
## EFETRELEXT01|2 -1.126 0.048 -23.225 0.000 -1.126 -1.126
## EFETRELEXT01|3 -0.271 0.039 -7.000 0.000 -0.271 -0.271
## EFETRELEXT01|4 0.617 0.041 15.054 0.000 0.617 0.617
## EFETRELEXT02|1 -1.730 0.068 -25.315 0.000 -1.730 -1.730
## EFETRELEXT02|2 -1.238 0.051 -24.262 0.000 -1.238 -1.238
## EFETRELEXT02|3 -0.161 0.038 -4.203 0.000 -0.161 -0.161
## EFETRELEXT02|4 0.790 0.043 18.423 0.000 0.790 0.790
## EFETRELEXT03|1 -1.762 0.070 -25.199 0.000 -1.762 -1.762
## EFETRELEXT03|2 -1.312 0.053 -24.777 0.000 -1.312 -1.312
## EFETRELEXT03|3 -0.340 0.039 -8.698 0.000 -0.340 -0.340
## EFETRELEXT03|4 0.774 0.043 18.138 0.000 0.774 0.774
## FORMALRELEXT01 -1.591 0.062 -25.571 0.000 -1.591 -1.591
## FORMALRELEXT01 -1.190 0.050 -23.850 0.000 -1.190 -1.190
## FORMALRELEXT01 -0.364 0.039 -9.303 0.000 -0.364 -0.364
## FORMALRELEXT01 0.603 0.041 14.758 0.000 0.603 0.603
## FORMALRELEXT02 -1.375 0.055 -25.116 0.000 -1.375 -1.375
## FORMALRELEXT02 -0.859 0.044 -19.603 0.000 -0.859 -0.859
## FORMALRELEXT02 0.035 0.038 0.914 0.361 0.035 0.035
## FORMALRELEXT02 0.876 0.044 19.880 0.000 0.876 0.876
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .DEPENRECEXT02 0.499 0.499 0.499
## .EFETRELEXT01 0.150 0.150 0.150
## .EFETRELEXT02 0.233 0.233 0.233
## .EFETRELEXT03 0.380 0.380 0.380
## .FORMALRELEXT01 0.411 0.411 0.411
## .FORMALRELEXT02 0.459 0.459 0.459
## InovFatExt 0.501 0.023 21.530 0.000 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## DEPENRECEXT02 1.000 1.000 1.000
## EFETRELEXT01 1.000 1.000 1.000
## EFETRELEXT02 1.000 1.000 1.000
## EFETRELEXT03 1.000 1.000 1.000
## FORMALRELEXT01 1.000 1.000 1.000
## FORMALRELEXT02 1.000 1.000 1.000
##
## R-Square:
## Estimate
## DEPENRECEXT02 0.501
## EFETRELEXT01 0.850
## EFETRELEXT02 0.767
## EFETRELEXT03 0.620
## FORMALRELEXT01 0.589
## FORMALRELEXT02 0.541
##
## $FIT
## npar fmin
## 33.000 0.006
## chisq df
## 12.267 6.000
## pvalue chisq.scaled
## 0.056 46.617
## df.scaled pvalue.scaled
## 6.000 0.000
## chisq.scaling.factor baseline.chisq
## 0.265 29059.080
## baseline.df baseline.pvalue
## 15.000 0.000
## baseline.chisq.scaled baseline.df.scaled
## 14048.690 15.000
## baseline.pvalue.scaled baseline.chisq.scaling.factor
## 0.000 2.070
## cfi tli
## 1.000 0.999
## cfi.scaled tli.scaled
## 0.997 0.993
## cfi.robust tli.robust
## NA NA
## rmsea rmsea.ci.lower
## 0.031 0.000
## rmsea.ci.upper rmsea.pvalue
## 0.056 0.882
## rmsea.scaled rmsea.ci.lower.scaled
## 0.079 0.059
## rmsea.ci.upper.scaled rmsea.pvalue.scaled
## 0.101 0.010
## rmsea.robust rmsea.ci.lower.robust
## NA NA
## rmsea.ci.upper.robust rmsea.pvalue.robust
## NA NA
## srmr
## 0.013
##
## $PE
## lhs op rhs exo est se z
## 1 InovFatExt =~ DEPENRECEXT02 0 1.00000000 0.00000000 NA
## 2 InovFatExt =~ EFETRELEXT01 0 1.30188581 0.03032056 42.9373938
## 3 InovFatExt =~ EFETRELEXT02 0 1.23668796 0.02783720 44.4257390
## 4 InovFatExt =~ EFETRELEXT03 0 1.11158745 0.02817189 39.4573238
## 5 InovFatExt =~ FORMALRELEXT01 0 1.08399452 0.02026243 53.4977627
## 6 InovFatExt =~ FORMALRELEXT02 0 1.03889191 0.02484704 41.8114973
## 7 DEPENRECEXT02 ~~ FORMALRELEXT01 0 0.23854750 0.01710623 13.9450648
## 8 FORMALRELEXT01 ~~ FORMALRELEXT02 0 0.13803654 0.01520968 9.0755711
## 9 DEPENRECEXT02 ~~ FORMALRELEXT02 0 0.10447665 0.01568558 6.6606822
## 10 DEPENRECEXT02 | t1 0 -1.35136067 0.05405287 -25.0007209
## 11 DEPENRECEXT02 | t2 0 -0.99889849 0.04603254 -21.6998362
## 12 DEPENRECEXT02 | t3 0 -0.33707617 0.03902544 -8.6373442
## 13 DEPENRECEXT02 | t4 0 0.63979662 0.04120948 15.5254714
## 14 EFETRELEXT01 | t1 0 -1.64305407 0.06437426 -25.5234639
## 15 EFETRELEXT01 | t2 0 -1.12586410 0.04847577 -23.2252970
## 16 EFETRELEXT01 | t3 0 -0.27118942 0.03874093 -7.0000754
## 17 EFETRELEXT01 | t4 0 0.61709097 0.04099205 15.0539175
## 18 EFETRELEXT02 | t1 0 -1.72992810 0.06833685 -25.3147170
## 19 EFETRELEXT02 | t2 0 -1.23827696 0.05103832 -24.2617100
## 20 EFETRELEXT02 | t3 0 -0.16143956 0.03840729 -4.2033574
## 21 EFETRELEXT02 | t4 0 0.79027355 0.04289664 18.4227394
## 22 EFETRELEXT03 | t1 0 -1.76201410 0.06992525 -25.1985391
## 23 EFETRELEXT03 | t2 0 -1.31178977 0.05294419 -24.7768404
## 24 EFETRELEXT03 | t3 0 -0.33954296 0.03903735 -8.6979000
## 25 EFETRELEXT03 | t4 0 0.77445510 0.04269822 18.1378767
## 26 FORMALRELEXT01 | t1 0 -1.59137964 0.06223274 -25.5714205
## 27 FORMALRELEXT01 | t2 0 -1.18960738 0.04987924 -23.8497490
## 28 FORMALRELEXT01 | t3 0 -0.36432761 0.03916208 -9.3030706
## 29 FORMALRELEXT01 | t4 0 0.60306056 0.04086232 14.7583533
## 30 FORMALRELEXT02 | t1 0 -1.37495634 0.05474320 -25.1164777
## 31 FORMALRELEXT02 | t2 0 -0.85901077 0.04382025 -19.6030544
## 32 FORMALRELEXT02 | t3 0 0.03495082 0.03823421 0.9141243
## 33 FORMALRELEXT02 | t4 0 0.87598003 0.04406415 19.8796522
## 34 DEPENRECEXT02 ~~ DEPENRECEXT02 0 0.49859353 0.00000000 NA
## 35 EFETRELEXT01 ~~ EFETRELEXT01 0 0.15016284 0.00000000 NA
## 36 EFETRELEXT02 ~~ EFETRELEXT02 0 0.23315040 0.00000000 NA
## 37 EFETRELEXT03 ~~ EFETRELEXT03 0 0.38044880 0.00000000 NA
## 38 FORMALRELEXT01 ~~ FORMALRELEXT01 0 0.41082528 0.00000000 NA
## 39 FORMALRELEXT02 ~~ FORMALRELEXT02 0 0.45883381 0.00000000 NA
## 40 InovFatExt ~~ InovFatExt 0 0.50140647 0.02328886 21.5298887
## 41 DEPENRECEXT02 ~*~ DEPENRECEXT02 0 1.00000000 0.00000000 NA
## 42 EFETRELEXT01 ~*~ EFETRELEXT01 0 1.00000000 0.00000000 NA
## 43 EFETRELEXT02 ~*~ EFETRELEXT02 0 1.00000000 0.00000000 NA
## 44 EFETRELEXT03 ~*~ EFETRELEXT03 0 1.00000000 0.00000000 NA
## 45 FORMALRELEXT01 ~*~ FORMALRELEXT01 0 1.00000000 0.00000000 NA
## 46 FORMALRELEXT02 ~*~ FORMALRELEXT02 0 1.00000000 0.00000000 NA
## 47 DEPENRECEXT02 ~1 0 0.00000000 0.00000000 NA
## 48 EFETRELEXT01 ~1 0 0.00000000 0.00000000 NA
## 49 EFETRELEXT02 ~1 0 0.00000000 0.00000000 NA
## 50 EFETRELEXT03 ~1 0 0.00000000 0.00000000 NA
## 51 FORMALRELEXT01 ~1 0 0.00000000 0.00000000 NA
## 52 FORMALRELEXT02 ~1 0 0.00000000 0.00000000 NA
## 53 InovFatExt ~1 0 0.00000000 0.00000000 NA
## 54 DEPENRECEXT02 r2 DEPENRECEXT02 0 0.50140647 NA NA
## 55 EFETRELEXT01 r2 EFETRELEXT01 0 0.84983716 NA NA
## 56 EFETRELEXT02 r2 EFETRELEXT02 0 0.76684960 NA NA
## 57 EFETRELEXT03 r2 EFETRELEXT03 0 0.61955120 NA NA
## 58 FORMALRELEXT01 r2 FORMALRELEXT01 0 0.58917472 NA NA
## 59 FORMALRELEXT02 r2 FORMALRELEXT02 0 0.54116619 NA NA
## pvalue std.lv std.all std.nox
## 1 NA 0.70810060 0.70810060 0.70810060
## 2 0.000000e+00 0.92186613 0.92186613 0.92186613
## 3 0.000000e+00 0.87569949 0.87569949 0.87569949
## 4 0.000000e+00 0.78711575 0.78711575 0.78711575
## 5 0.000000e+00 0.76757718 0.76757718 0.76757718
## 6 0.000000e+00 0.73563999 0.73563999 0.73563999
## 7 0.000000e+00 0.23854750 0.52707567 0.52707567
## 8 0.000000e+00 0.13803654 0.31793459 0.31793459
## 9 2.725598e-11 0.10447665 0.21843297 0.21843297
## 10 0.000000e+00 -1.35136067 -1.35136067 -1.35136067
## 11 0.000000e+00 -0.99889849 -0.99889849 -0.99889849
## 12 0.000000e+00 -0.33707617 -0.33707617 -0.33707617
## 13 0.000000e+00 0.63979662 0.63979662 0.63979662
## 14 0.000000e+00 -1.64305407 -1.64305407 -1.64305407
## 15 0.000000e+00 -1.12586410 -1.12586410 -1.12586410
## 16 2.558176e-12 -0.27118942 -0.27118942 -0.27118942
## 17 0.000000e+00 0.61709097 0.61709097 0.61709097
## 18 0.000000e+00 -1.72992810 -1.72992810 -1.72992810
## 19 0.000000e+00 -1.23827696 -1.23827696 -1.23827696
## 20 2.629849e-05 -0.16143956 -0.16143956 -0.16143956
## 21 0.000000e+00 0.79027355 0.79027355 0.79027355
## 22 0.000000e+00 -1.76201410 -1.76201410 -1.76201410
## 23 0.000000e+00 -1.31178977 -1.31178977 -1.31178977
## 24 0.000000e+00 -0.33954296 -0.33954296 -0.33954296
## 25 0.000000e+00 0.77445510 0.77445510 0.77445510
## 26 0.000000e+00 -1.59137964 -1.59137964 -1.59137964
## 27 0.000000e+00 -1.18960738 -1.18960738 -1.18960738
## 28 0.000000e+00 -0.36432761 -0.36432761 -0.36432761
## 29 0.000000e+00 0.60306056 0.60306056 0.60306056
## 30 0.000000e+00 -1.37495634 -1.37495634 -1.37495634
## 31 0.000000e+00 -0.85901077 -0.85901077 -0.85901077
## 32 3.606516e-01 0.03495082 0.03495082 0.03495082
## 33 0.000000e+00 0.87598003 0.87598003 0.87598003
## 34 NA 0.49859353 0.49859353 0.49859353
## 35 NA 0.15016284 0.15016284 0.15016284
## 36 NA 0.23315040 0.23315040 0.23315040
## 37 NA 0.38044880 0.38044880 0.38044880
## 38 NA 0.41082528 0.41082528 0.41082528
## 39 NA 0.45883381 0.45883381 0.45883381
## 40 0.000000e+00 1.00000000 1.00000000 1.00000000
## 41 NA 1.00000000 1.00000000 1.00000000
## 42 NA 1.00000000 1.00000000 1.00000000
## 43 NA 1.00000000 1.00000000 1.00000000
## 44 NA 1.00000000 1.00000000 1.00000000
## 45 NA 1.00000000 1.00000000 1.00000000
## 46 NA 1.00000000 1.00000000 1.00000000
## 47 NA 0.00000000 0.00000000 0.00000000
## 48 NA 0.00000000 0.00000000 0.00000000
## 49 NA 0.00000000 0.00000000 0.00000000
## 50 NA 0.00000000 0.00000000 0.00000000
## 51 NA 0.00000000 0.00000000 0.00000000
## 52 NA 0.00000000 0.00000000 0.00000000
## 53 NA 0.00000000 0.00000000 0.00000000
## 54 NA NA NA NA
## 55 NA NA NA NA
## 56 NA NA NA NA
## 57 NA NA NA NA
## 58 NA NA NA NA
## 59 NA NA NA NA## For constructs with categorical indicators, Zumbo et al.`s (2007) "ordinal alpha" is calculated in addition to the standard alpha, which treats ordinal variables as numeric. See Chalmers (2018) for a critique of "alpha.ord" and the response by Zumbo & Kroc (2019). Likewise, average variance extracted is calculated from polychoric (polyserial) not Pearson correlations.## InovFatExt
## alpha 0.9007613
## alpha.ord 0.9237588
## omega 0.8531473
## omega2 0.8531473
## omega3 0.8540693
## avevar 0.6446642
## lhs op rhs mi epc sepc.lv sepc.all sepc.nox
## 58 EFETRELEXT01 ~~ EFETRELEXT03 10.7 -0.078 -0.078 -0.325 -0.325
## resultadoInovFatExtFATORES INTERNOS
#MODELO HIERARQUICO FATORES INTERNOS
paste(dim_scales[dim_scales$DIM==scales[9],4])## [1] "FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET"clean_item(9,"LIDERANCA01")## DIM min max
## 1 AEC 3 6
## 5 ATIVIDADES 69 78
## 6 AUTOUNI 13 16
## 9 ESCRECURSO 30 33
## 19 INOVACAO 17 22
## 26 ResInov 23 25
## 29 InovFatExt NA NA
## 30 InovFatInt NA NA
## 31 ASCBI NA NA
## 10 MeasureModel NA NA
## latent
## 1 AEC=~AEC01+AEC02+AEC03+AEC04
## 5 ATIVIDADES=~ PEDPRODPROC+MELHORIA+ANALCRIT+AVALPROGPROJPROC
## 6 AUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04 \nAUTON01\t~~\tAUTON04
## 9 ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04
## 19 INOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06 \nINOV01~~INOV02
## 26 ResInov=~RESINOV01+RESINOV02+RESINOV03
## 29 InovFatExt=~ DEPENRECEXT02+EFETRELEXT01+EFETRELEXT02+EFETRELEXT03+FORMALRELEXT01+FORMALRELEXT02\n \n\nDEPENRECEXT02~~FORMALRELEXT01\n\nFORMALRELEXT01~~FORMALRELEXT02\n\nDEPENRECEXT02~~FORMALRELEXT02
## 30 FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## 31 ASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02
## 10 AEC=~AEC01+AEC02+AEC03+AEC04\nATIVIDADES=~ PESQCIENT+PEDPRODPROC+MELHORIA+ANALCRIT+SERVTECESP+AUDRELCRITIC+AVALPROGPROJPROC+DESENVPROGPROJ+CONSULT+MULTCONHECIM\nAUTOUNI=~AUTON01+AUTON02+AUTON03+AUTON04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04\nINOVACAO=~INOV01+INOV02+INOV03+INOV04+INOV05+INOV06\nResInov=~RESINOV01+RESINOV02+RESINOV03\nFatExtInovDEPENRECEXT=~DEPENRECEXT01+DEPENRECEXT02\nFatExtInovEFETRELEXT=~EFETRELEXT01+EFETRELEXT02+EFETRELEXT03\nFatExtInovFORMALRELEXT=~FORMALRELEXT01+FORMALRELEXT02\nInovFatExt=~FatExtInovDEPENRECEXT+FatExtInovEFETRELEXT+FatExtInovFORMALRELEXT\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~LIDERANCA01+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03\nNA\nASCC~~ASCS+AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nASCS~~AEC+AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAEC~~AUTOUNI+ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nAUTOUNI~~ATIVIDADES+INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nATIVIDADES~~INOVACAO+ESCRECURSO+ResInov+InovFatExt+InovFatInt\nINOVACAO~~ESCRECURSO+ResInov+InovFatExt+InovFatInt\nESCRECURSO~~ResInov+InovFatExt+InovFatInt\nResInov~~InovFatExt+InovFatInt\nInovFatExt~~InovFatIntcfaFun("InovFatInt",T)## [1] "Modelo utilizado foi \n FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET"
## lavaan 0.6-9 ended normally after 40 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 70
##
## Number of observations 1076
##
## Model Test User Model:
## Standard Robust
## Test Statistic 277.360 498.445
## Degrees of freedom 60 60
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 0.567
## Shift parameter 9.545
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 29482.367 13327.127
## Degrees of freedom 78 78
## P-value 0.000 0.000
## Scaling correction factor 2.219
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.993 0.967
## Tucker-Lewis Index (TLI) 0.990 0.957
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.058 0.082
## 90 Percent confidence interval - lower 0.051 0.076
## 90 Percent confidence interval - upper 0.065 0.089
## P-value RMSEA <= 0.05 0.026 0.000
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.044 0.044
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv
## FatIntInovAUTONOMIAINOV =~
## AUTONOMIAINOV0 1.000 0.549
## AUTONOMIAINOV0 1.563 0.093 16.806 0.000 0.858
## FatIntInovLIDERANCA =~
## LIDERANCA02 1.000 0.815
## LIDERANCA03 1.072 0.025 43.004 0.000 0.874
## FatIntInovPROCESSO =~
## PROCESSO01 1.000 0.844
## PROCESSO02 0.935 0.027 34.245 0.000 0.789
## PROCESSO03 0.670 0.030 22.459 0.000 0.566
## PROCESSO04 0.844 0.030 27.742 0.000 0.713
## FatIntInovRELACINTERSET =~
## RELACINTERSET0 1.000 0.728
## RELACINTERSET0 0.689 0.038 17.907 0.000 0.502
## FatIntInovRELACINTRASET =~
## RELACINTRASET0 1.000 0.775
## RELACINTRASET0 1.050 0.029 36.432 0.000 0.814
## RELACINTRASET0 1.029 0.026 39.281 0.000 0.798
## InovFatInt =~
## FIIAUTONOMIAIN 1.000 0.841
## FtInILIDERANCA 1.623 0.102 15.870 0.000 0.919
## FtIntIPROCESSO 1.394 0.091 15.350 0.000 0.762
## FIIRELACINTERS 1.500 0.095 15.741 0.000 0.951
## FIIRELACINTRAS 1.537 0.093 16.466 0.000 0.915
## Std.all
##
## 0.549
## 0.858
##
## 0.815
## 0.874
##
## 0.844
## 0.789
## 0.566
## 0.713
##
## 0.728
## 0.502
##
## 0.775
## 0.814
## 0.798
##
## 0.841
## 0.919
## 0.762
## 0.951
## 0.915
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .AUTONOMIAINOV0 0.000 0.000 0.000
## .AUTONOMIAINOV0 0.000 0.000 0.000
## .LIDERANCA02 0.000 0.000 0.000
## .LIDERANCA03 0.000 0.000 0.000
## .PROCESSO01 0.000 0.000 0.000
## .PROCESSO02 0.000 0.000 0.000
## .PROCESSO03 0.000 0.000 0.000
## .PROCESSO04 0.000 0.000 0.000
## .RELACINTERSET0 0.000 0.000 0.000
## .RELACINTERSET0 0.000 0.000 0.000
## .RELACINTRASET0 0.000 0.000 0.000
## .RELACINTRASET0 0.000 0.000 0.000
## .RELACINTRASET0 0.000 0.000 0.000
## .FIIAUTONOMIAIN 0.000 0.000 0.000
## .FtInILIDERANCA 0.000 0.000 0.000
## .FtIntIPROCESSO 0.000 0.000 0.000
## .FIIRELACINTERS 0.000 0.000 0.000
## .FIIRELACINTRAS 0.000 0.000 0.000
## InovFatInt 0.000 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## AUTONOMIAINOV0 -0.654 0.041 -15.819 0.000 -0.654 -0.654
## AUTONOMIAINOV0 -0.308 0.039 -7.910 0.000 -0.308 -0.308
## AUTONOMIAINOV0 0.216 0.039 5.603 0.000 0.216 0.216
## AUTONOMIAINOV0 0.932 0.045 20.751 0.000 0.932 0.932
## AUTONOMIAINOV0 -1.591 0.062 -25.571 0.000 -1.591 -1.591
## AUTONOMIAINOV0 -1.139 0.049 -23.363 0.000 -1.139 -1.139
## AUTONOMIAINOV0 -0.701 0.042 -16.754 0.000 -0.701 -0.701
## AUTONOMIAINOV0 0.138 0.038 3.595 0.000 0.138 0.138
## LIDERANCA02|t1 -1.387 0.055 -25.171 0.000 -1.387 -1.387
## LIDERANCA02|t2 -0.914 0.045 -20.481 0.000 -0.914 -0.914
## LIDERANCA02|t3 -0.262 0.039 -6.757 0.000 -0.262 -0.262
## LIDERANCA02|t4 0.479 0.040 12.015 0.000 0.479 0.479
## LIDERANCA03|t1 -1.306 0.053 -24.743 0.000 -1.306 -1.306
## LIDERANCA03|t2 -0.826 0.043 -19.044 0.000 -0.826 -0.826
## LIDERANCA03|t3 -0.257 0.039 -6.636 0.000 -0.257 -0.257
## LIDERANCA03|t4 0.609 0.041 14.877 0.000 0.609 0.609
## PROCESSO01|t1 -1.126 0.048 -23.225 0.000 -1.126 -1.126
## PROCESSO01|t2 -0.474 0.040 -11.895 0.000 -0.474 -0.474
## PROCESSO01|t3 0.387 0.039 9.847 0.000 0.387 0.387
## PROCESSO01|t4 1.253 0.051 24.379 0.000 1.253 1.253
## PROCESSO02|t1 -1.157 0.049 -23.544 0.000 -1.157 -1.157
## PROCESSO02|t2 -0.492 0.040 -12.315 0.000 -0.492 -0.492
## PROCESSO02|t3 0.161 0.038 4.203 0.000 0.161 0.161
## PROCESSO02|t4 0.961 0.045 21.177 0.000 0.961 0.961
## PROCESSO03|t1 -0.819 0.043 -18.932 0.000 -0.819 -0.819
## PROCESSO03|t2 -0.238 0.039 -6.150 0.000 -0.238 -0.238
## PROCESSO03|t3 0.402 0.039 10.209 0.000 0.402 0.402
## PROCESSO03|t4 1.139 0.049 23.363 0.000 1.139 1.139
## PROCESSO04|t1 -1.444 0.057 -25.380 0.000 -1.444 -1.444
## PROCESSO04|t2 -0.692 0.042 -16.580 0.000 -0.692 -0.692
## PROCESSO04|t3 0.126 0.038 3.290 0.001 0.126 0.126
## PROCESSO04|t4 1.026 0.047 22.058 0.000 1.026 1.026
## RELACINTERSET0 -1.832 0.074 -24.874 0.000 -1.832 -1.832
## RELACINTERSET0 -1.387 0.055 -25.171 0.000 -1.387 -1.387
## RELACINTERSET0 -0.450 0.040 -11.354 0.000 -0.450 -0.450
## RELACINTERSET0 0.476 0.040 11.955 0.000 0.476 0.476
## RELACINTERSET0 -1.066 0.047 -22.557 0.000 -1.066 -1.066
## RELACINTERSET0 -0.274 0.039 -7.061 0.000 -0.274 -0.274
## RELACINTERSET0 0.654 0.041 15.819 0.000 0.654 0.654
## RELACINTERSET0 1.301 0.053 24.708 0.000 1.301 1.301
## RELACINTRASET0 -1.214 0.050 -24.060 0.000 -1.214 -1.214
## RELACINTRASET0 -0.722 0.042 -17.160 0.000 -0.722 -0.722
## RELACINTRASET0 -0.089 0.038 -2.316 0.021 -0.089 -0.089
## RELACINTRASET0 0.698 0.042 16.696 0.000 0.698 0.698
## RELACINTRASET0 -1.652 0.065 -25.509 0.000 -1.652 -1.652
## RELACINTRASET0 -1.248 0.051 -24.340 0.000 -1.248 -1.248
## RELACINTRASET0 -0.537 0.040 -13.332 0.000 -0.537 -0.537
## RELACINTRASET0 0.340 0.039 8.698 0.000 0.340 0.340
## RELACINTRASET0 -1.393 0.055 -25.197 0.000 -1.393 -1.393
## RELACINTRASET0 -0.886 0.044 -20.045 0.000 -0.886 -0.886
## RELACINTRASET0 -0.040 0.038 -1.036 0.300 -0.040 -0.040
## RELACINTRASET0 0.852 0.044 19.492 0.000 0.852 0.852
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .AUTONOMIAINOV0 0.698 0.698 0.698
## .AUTONOMIAINOV0 0.264 0.264 0.264
## .LIDERANCA02 0.336 0.336 0.336
## .LIDERANCA03 0.237 0.237 0.237
## .PROCESSO01 0.287 0.287 0.287
## .PROCESSO02 0.377 0.377 0.377
## .PROCESSO03 0.680 0.680 0.680
## .PROCESSO04 0.492 0.492 0.492
## .RELACINTERSET0 0.470 0.470 0.470
## .RELACINTERSET0 0.748 0.748 0.748
## .RELACINTRASET0 0.399 0.399 0.399
## .RELACINTRASET0 0.337 0.337 0.337
## .RELACINTRASET0 0.364 0.364 0.364
## .FIIAUTONOMIAIN 0.088 0.015 5.773 0.000 0.293 0.293
## .FtInILIDERANCA 0.103 0.017 6.090 0.000 0.155 0.155
## .FtIntIPROCESSO 0.298 0.022 13.867 0.000 0.419 0.419
## .FIIRELACINTERS 0.050 0.035 1.438 0.150 0.095 0.095
## .FIIRELACINTRAS 0.098 0.016 6.311 0.000 0.163 0.163
## InovFatInt 0.213 0.025 8.412 0.000 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## AUTONOMIAINOV0 1.000 1.000 1.000
## AUTONOMIAINOV0 1.000 1.000 1.000
## LIDERANCA02 1.000 1.000 1.000
## LIDERANCA03 1.000 1.000 1.000
## PROCESSO01 1.000 1.000 1.000
## PROCESSO02 1.000 1.000 1.000
## PROCESSO03 1.000 1.000 1.000
## PROCESSO04 1.000 1.000 1.000
## RELACINTERSET0 1.000 1.000 1.000
## RELACINTERSET0 1.000 1.000 1.000
## RELACINTRASET0 1.000 1.000 1.000
## RELACINTRASET0 1.000 1.000 1.000
## RELACINTRASET0 1.000 1.000 1.000
##
## R-Square:
## Estimate
## AUTONOMIAINOV0 0.302
## AUTONOMIAINOV0 0.736
## LIDERANCA02 0.664
## LIDERANCA03 0.763
## PROCESSO01 0.713
## PROCESSO02 0.623
## PROCESSO03 0.320
## PROCESSO04 0.508
## RELACINTERSET0 0.530
## RELACINTERSET0 0.252
## RELACINTRASET0 0.601
## RELACINTRASET0 0.663
## RELACINTRASET0 0.636
## FIIAUTONOMIAIN 0.707
## FtInILIDERANCA 0.845
## FtIntIPROCESSO 0.581
## FIIRELACINTERS 0.905
## FIIRELACINTRAS 0.837
##
## $FIT
## npar fmin
## 70.000 0.129
## chisq df
## 277.360 60.000
## pvalue chisq.scaled
## 0.000 498.445
## df.scaled pvalue.scaled
## 60.000 0.000
## chisq.scaling.factor baseline.chisq
## 0.567 29482.367
## baseline.df baseline.pvalue
## 78.000 0.000
## baseline.chisq.scaled baseline.df.scaled
## 13327.127 78.000
## baseline.pvalue.scaled baseline.chisq.scaling.factor
## 0.000 2.219
## cfi tli
## 0.993 0.990
## cfi.scaled tli.scaled
## 0.967 0.957
## cfi.robust tli.robust
## NA NA
## rmsea rmsea.ci.lower
## 0.058 0.051
## rmsea.ci.upper rmsea.pvalue
## 0.065 0.026
## rmsea.scaled rmsea.ci.lower.scaled
## 0.082 0.076
## rmsea.ci.upper.scaled rmsea.pvalue.scaled
## 0.089 0.000
## rmsea.robust rmsea.ci.lower.robust
## NA NA
## rmsea.ci.upper.robust rmsea.pvalue.robust
## NA NA
## srmr
## 0.044
##
## $PE
## lhs op rhs exo est
## 1 FatIntInovAUTONOMIAINOV =~ AUTONOMIAINOV01 0 1.00000000
## 2 FatIntInovAUTONOMIAINOV =~ AUTONOMIAINOV02 0 1.56280181
## 3 FatIntInovLIDERANCA =~ LIDERANCA02 0 1.00000000
## 4 FatIntInovLIDERANCA =~ LIDERANCA03 0 1.07227827
## 5 FatIntInovPROCESSO =~ PROCESSO01 0 1.00000000
## 6 FatIntInovPROCESSO =~ PROCESSO02 0 0.93509008
## 7 FatIntInovPROCESSO =~ PROCESSO03 0 0.66986896
## 8 FatIntInovPROCESSO =~ PROCESSO04 0 0.84418384
## 9 FatIntInovRELACINTERSET =~ RELACINTERSET01 0 1.00000000
## 10 FatIntInovRELACINTERSET =~ RELACINTERSET02 0 0.68910216
## 11 FatIntInovRELACINTRASET =~ RELACINTRASET01 0 1.00000000
## 12 FatIntInovRELACINTRASET =~ RELACINTRASET02 0 1.05033293
## 13 FatIntInovRELACINTRASET =~ RELACINTRASET03 0 1.02878449
## 14 InovFatInt =~ FatIntInovAUTONOMIAINOV 0 1.00000000
## 15 InovFatInt =~ FatIntInovLIDERANCA 0 1.62251263
## 16 InovFatInt =~ FatIntInovPROCESSO 0 1.39441396
## 17 InovFatInt =~ FatIntInovRELACINTERSET 0 1.49985256
## 18 InovFatInt =~ FatIntInovRELACINTRASET 0 1.53668493
## 19 AUTONOMIAINOV01 | t1 0 -0.65415624
## 20 AUTONOMIAINOV01 | t2 0 -0.30762944
## 21 AUTONOMIAINOV01 | t3 0 0.21598905
## 22 AUTONOMIAINOV01 | t4 0 0.93206852
## 23 AUTONOMIAINOV02 | t1 0 -1.59137964
## 24 AUTONOMIAINOV02 | t2 0 -1.13913503
## 25 AUTONOMIAINOV02 | t3 0 -0.70105070
## 26 AUTONOMIAINOV02 | t4 0 0.13788087
## 27 LIDERANCA02 | t1 0 -1.38704675
## 28 LIDERANCA02 | t2 0 -0.91423230
## 29 LIDERANCA02 | t3 0 -0.26153457
## 30 LIDERANCA02 | t4 0 0.47895554
## 31 LIDERANCA03 | t1 0 -1.30630219
## 32 LIDERANCA03 | t2 0 -0.82579228
## 33 LIDERANCA03 | t3 0 -0.25671632
## 34 LIDERANCA03 | t4 0 0.60865834
## 35 PROCESSO01 | t1 0 -1.12586410
## 36 PROCESSO01 | t2 0 -0.47373663
## 37 PROCESSO01 | t3 0 0.38682636
## 38 PROCESSO01 | t4 0 1.25346322
## 39 PROCESSO02 | t1 0 -1.15714801
## 40 PROCESSO02 | t2 0 -0.49206049
## 41 PROCESSO02 | t3 0 0.16143956
## 42 PROCESSO02 | t4 0 0.96124056
## 43 PROCESSO03 | t1 0 -0.81925769
## 44 PROCESSO03 | t2 0 -0.23750163
## 45 PROCESSO03 | t3 0 0.40193435
## 46 PROCESSO03 | t4 0 1.13913503
## 47 PROCESSO04 | t1 0 -1.44414254
## 48 PROCESSO04 | t2 0 -0.69214291
## 49 PROCESSO04 | t3 0 0.12613097
## 50 PROCESSO04 | t4 0 1.02612490
## 51 RELACINTERSET01 | t1 0 -1.83224788
## 52 RELACINTERSET01 | t2 0 -1.38704675
## 53 RELACINTERSET01 | t3 0 -0.45040789
## 54 RELACINTERSET01 | t4 0 0.47634446
## 55 RELACINTERSET02 | t1 0 -1.06639449
## 56 RELACINTERSET02 | t2 0 -0.27360705
## 57 RELACINTERSET02 | t3 0 0.65415624
## 58 RELACINTERSET02 | t4 0 1.30085366
## 59 RELACINTRASET01 | t1 0 -1.21358284
## 60 RELACINTRASET01 | t2 0 -0.72205572
## 61 RELACINTRASET01 | t3 0 -0.08863998
## 62 RELACINTRASET01 | t4 0 0.69807529
## 63 RELACINTRASET02 | t1 0 -1.65210567
## 64 RELACINTRASET02 | t2 0 -1.24836912
## 65 RELACINTRASET02 | t3 0 -0.53727443
## 66 RELACINTRASET02 | t4 0 0.33954296
## 67 RELACINTRASET03 | t1 0 -1.39316873
## 68 RELACINTRASET03 | t2 0 -0.88628367
## 69 RELACINTRASET03 | t3 0 -0.03961322
## 70 RELACINTRASET03 | t4 0 0.85229200
## 71 AUTONOMIAINOV01 ~~ AUTONOMIAINOV01 0 0.69845907
## 72 AUTONOMIAINOV02 ~~ AUTONOMIAINOV02 0 0.26353165
## 73 LIDERANCA02 ~~ LIDERANCA02 0 0.33596295
## 74 LIDERANCA03 ~~ LIDERANCA03 0 0.23650303
## 75 PROCESSO01 ~~ PROCESSO01 0 0.28721104
## 76 PROCESSO02 ~~ PROCESSO02 0 0.37674200
## 77 PROCESSO03 ~~ PROCESSO03 0 0.68015419
## 78 PROCESSO04 ~~ PROCESSO04 0 0.49203354
## 79 RELACINTERSET01 ~~ RELACINTERSET01 0 0.47016375
## 80 RELACINTERSET02 ~~ RELACINTERSET02 0 0.74840102
## 81 RELACINTRASET01 ~~ RELACINTRASET01 0 0.39888066
## 82 RELACINTRASET02 ~~ RELACINTRASET02 0 0.33684559
## 83 RELACINTRASET03 ~~ RELACINTRASET03 0 0.36377678
## 84 FatIntInovAUTONOMIAINOV ~~ FatIntInovAUTONOMIAINOV 0 0.08843579
## 85 FatIntInovLIDERANCA ~~ FatIntInovLIDERANCA 0 0.10302768
## 86 FatIntInovPROCESSO ~~ FatIntInovPROCESSO 0 0.29842938
## 87 FatIntInovRELACINTERSET ~~ FatIntInovRELACINTERSET 0 0.05044393
## 88 FatIntInovRELACINTRASET ~~ FatIntInovRELACINTRASET 0 0.09789273
## 89 InovFatInt ~~ InovFatInt 0 0.21310515
## 90 AUTONOMIAINOV01 ~*~ AUTONOMIAINOV01 0 1.00000000
## 91 AUTONOMIAINOV02 ~*~ AUTONOMIAINOV02 0 1.00000000
## 92 LIDERANCA02 ~*~ LIDERANCA02 0 1.00000000
## 93 LIDERANCA03 ~*~ LIDERANCA03 0 1.00000000
## 94 PROCESSO01 ~*~ PROCESSO01 0 1.00000000
## 95 PROCESSO02 ~*~ PROCESSO02 0 1.00000000
## 96 PROCESSO03 ~*~ PROCESSO03 0 1.00000000
## 97 PROCESSO04 ~*~ PROCESSO04 0 1.00000000
## 98 RELACINTERSET01 ~*~ RELACINTERSET01 0 1.00000000
## 99 RELACINTERSET02 ~*~ RELACINTERSET02 0 1.00000000
## 100 RELACINTRASET01 ~*~ RELACINTRASET01 0 1.00000000
## 101 RELACINTRASET02 ~*~ RELACINTRASET02 0 1.00000000
## 102 RELACINTRASET03 ~*~ RELACINTRASET03 0 1.00000000
## 103 AUTONOMIAINOV01 ~1 0 0.00000000
## 104 AUTONOMIAINOV02 ~1 0 0.00000000
## 105 LIDERANCA02 ~1 0 0.00000000
## 106 LIDERANCA03 ~1 0 0.00000000
## 107 PROCESSO01 ~1 0 0.00000000
## 108 PROCESSO02 ~1 0 0.00000000
## 109 PROCESSO03 ~1 0 0.00000000
## 110 PROCESSO04 ~1 0 0.00000000
## 111 RELACINTERSET01 ~1 0 0.00000000
## 112 RELACINTERSET02 ~1 0 0.00000000
## 113 RELACINTRASET01 ~1 0 0.00000000
## 114 RELACINTRASET02 ~1 0 0.00000000
## 115 RELACINTRASET03 ~1 0 0.00000000
## 116 FatIntInovAUTONOMIAINOV ~1 0 0.00000000
## 117 FatIntInovLIDERANCA ~1 0 0.00000000
## 118 FatIntInovPROCESSO ~1 0 0.00000000
## 119 FatIntInovRELACINTERSET ~1 0 0.00000000
## 120 FatIntInovRELACINTRASET ~1 0 0.00000000
## 121 InovFatInt ~1 0 0.00000000
## 122 AUTONOMIAINOV01 r2 AUTONOMIAINOV01 0 0.30154093
## 123 AUTONOMIAINOV02 r2 AUTONOMIAINOV02 0 0.73646835
## 124 LIDERANCA02 r2 LIDERANCA02 0 0.66403705
## 125 LIDERANCA03 r2 LIDERANCA03 0 0.76349697
## 126 PROCESSO01 r2 PROCESSO01 0 0.71278896
## 127 PROCESSO02 r2 PROCESSO02 0 0.62325800
## 128 PROCESSO03 r2 PROCESSO03 0 0.31984581
## 129 PROCESSO04 r2 PROCESSO04 0 0.50796646
## 130 RELACINTERSET01 r2 RELACINTERSET01 0 0.52983625
## 131 RELACINTERSET02 r2 RELACINTERSET02 0 0.25159898
## 132 RELACINTRASET01 r2 RELACINTRASET01 0 0.60111934
## 133 RELACINTRASET02 r2 RELACINTRASET02 0 0.66315441
## 134 RELACINTRASET03 r2 RELACINTRASET03 0 0.63622322
## 135 FatIntInovAUTONOMIAINOV r2 FatIntInovAUTONOMIAINOV 0 0.70672046
## 136 FatIntInovLIDERANCA r2 FatIntInovLIDERANCA 0 0.84484648
## 137 FatIntInovPROCESSO r2 FatIntInovPROCESSO 0 0.58132154
## 138 FatIntInovRELACINTERSET r2 FatIntInovRELACINTERSET 0 0.90479336
## 139 FatIntInovRELACINTRASET r2 FatIntInovRELACINTRASET 0 0.83714927
## se z pvalue std.lv std.all std.nox
## 1 0.00000000 NA NA 0.54912743 0.54912743 0.54912743
## 2 0.09299237 16.805699 0.000000e+00 0.85817734 0.85817734 0.85817734
## 3 0.00000000 NA NA 0.81488468 0.81488468 0.81488468
## 4 0.02493438 43.004008 0.000000e+00 0.87378314 0.87378314 0.87378314
## 5 0.00000000 NA NA 0.84426830 0.84426830 0.84426830
## 6 0.02730555 34.245426 0.000000e+00 0.78946691 0.78946691 0.78946691
## 7 0.02982575 22.459420 0.000000e+00 0.56554913 0.56554913 0.56554913
## 8 0.03042969 27.742109 0.000000e+00 0.71271766 0.71271766 0.71271766
## 9 0.00000000 NA NA 0.72789852 0.72789852 0.72789852
## 10 0.03848251 17.906891 0.000000e+00 0.50159644 0.50159644 0.50159644
## 11 0.00000000 NA NA 0.77531886 0.77531886 0.77531886
## 12 0.02883025 36.431630 0.000000e+00 0.81434293 0.81434293 0.81434293
## 13 0.02619068 39.280552 0.000000e+00 0.79763602 0.79763602 0.79763602
## 14 0.00000000 NA NA 0.84066667 0.84066667 0.84066667
## 15 0.10223926 15.869761 0.000000e+00 0.91915531 0.91915531 0.91915531
## 16 0.09083865 15.350447 0.000000e+00 0.76244445 0.76244445 0.76244445
## 17 0.09528566 15.740590 0.000000e+00 0.95120627 0.95120627 0.95120627
## 18 0.09332622 16.465736 0.000000e+00 0.91495861 0.91495861 0.91495861
## 19 0.04135183 -15.819283 0.000000e+00 -0.65415624 -0.65415624 -0.65415624
## 20 0.03889033 -7.910178 2.664535e-15 -0.30762944 -0.30762944 -0.30762944
## 21 0.03855150 5.602610 2.111477e-08 0.21598905 0.21598905 0.21598905
## 22 0.04491725 20.750791 0.000000e+00 0.93206852 0.93206852 0.93206852
## 23 0.06223274 -25.571421 0.000000e+00 -1.59137964 -1.59137964 -1.59137964
## 24 0.04875767 -23.363194 0.000000e+00 -1.13913503 -1.13913503 -1.13913503
## 25 0.04184340 -16.754151 0.000000e+00 -0.70105070 -0.70105070 -0.70105070
## 26 0.03835805 3.594574 3.249227e-04 0.13788087 0.13788087 0.13788087
## 27 0.05510567 -25.170671 0.000000e+00 -1.38704675 -1.38704675 -1.38704675
## 28 0.04463800 -20.481031 0.000000e+00 -0.91423230 -0.91423230 -0.91423230
## 29 0.03870461 -6.757195 1.406897e-11 -0.26153457 -0.26153457 -0.26153457
## 30 0.03986255 12.015177 0.000000e+00 0.47895554 0.47895554 0.47895554
## 31 0.05279515 -24.742844 0.000000e+00 -1.30630219 -1.30630219 -1.30630219
## 32 0.04336122 -19.044489 0.000000e+00 -0.82579228 -0.82579228 -0.82579228
## 33 0.03868699 -6.635728 3.229061e-11 -0.25671632 -0.25671632 -0.25671632
## 34 0.04091366 14.876653 0.000000e+00 0.60865834 0.60865834 0.60865834
## 35 0.04847577 -23.225297 0.000000e+00 -1.12586410 -1.12586410 -1.12586410
## 36 0.03982613 -11.895121 0.000000e+00 -0.47373663 -0.47373663 -0.47373663
## 37 0.03928340 9.847068 0.000000e+00 0.38682636 0.38682636 0.38682636
## 38 0.05141633 24.378701 0.000000e+00 1.25346322 1.25346322 1.25346322
## 39 0.04914886 -23.543743 0.000000e+00 -1.15714801 -1.15714801 -1.15714801
## 40 0.03995594 -12.315076 0.000000e+00 -0.49206049 -0.49206049 -0.49206049
## 41 0.03840729 4.203357 2.629849e-05 0.16143956 0.16143956 0.16143956
## 42 0.04539047 21.177145 0.000000e+00 0.96124056 0.96124056 0.96124056
## 43 0.04327374 -18.931983 0.000000e+00 -0.81925769 -0.81925769 -0.81925769
## 44 0.03862008 -6.149692 7.763346e-10 -0.23750163 -0.23750163 -0.23750163
## 45 0.03936924 10.209350 0.000000e+00 0.40193435 0.40193435 0.40193435
## 46 0.04875767 23.363194 0.000000e+00 1.13913503 1.13913503 1.13913503
## 47 0.05690088 -25.379967 0.000000e+00 -1.44414254 -1.44414254 -1.44414254
## 48 0.04174683 -16.579531 0.000000e+00 -0.69214291 -0.69214291 -0.69214291
## 49 0.03833642 3.290108 1.001489e-03 0.12613097 0.12613097 0.12613097
## 50 0.04651940 22.057999 0.000000e+00 1.02612490 1.02612490 1.02612490
## 51 0.07366028 -24.874300 0.000000e+00 -1.83224788 -1.83224788 -1.83224788
## 52 0.05510567 -25.170671 0.000000e+00 -1.38704675 -1.38704675 -1.38704675
## 53 0.03966871 -11.354236 0.000000e+00 -0.45040789 -0.45040789 -0.45040789
## 54 0.03984427 11.955156 0.000000e+00 0.47634446 0.47634446 0.47634446
## 55 0.04727576 -22.556900 0.000000e+00 -1.06639449 -1.06639449 -1.06639449
## 56 0.03875024 -7.060784 1.655565e-12 -0.27360705 -0.27360705 -0.27360705
## 57 0.04135183 15.819283 0.000000e+00 0.65415624 0.65415624 0.65415624
## 58 0.05264828 24.708379 0.000000e+00 1.30085366 1.30085366 1.30085366
## 59 0.05044041 -24.059732 0.000000e+00 -1.21358284 -1.21358284 -1.21358284
## 60 0.04207716 -17.160275 0.000000e+00 -0.72205572 -0.72205572 -0.72205572
## 61 0.03828034 -2.315548 2.058294e-02 -0.08863998 -0.08863998 -0.08863998
## 62 0.04181098 16.695981 0.000000e+00 0.69807529 0.69807529 0.69807529
## 63 0.06476530 -25.509117 0.000000e+00 -1.65210567 -1.65210567 -1.65210567
## 64 0.05128864 -24.340071 0.000000e+00 -1.24836912 -1.24836912 -1.24836912
## 65 0.04029992 -13.331899 0.000000e+00 -0.53727443 -0.53727443 -0.53727443
## 66 0.03903735 8.697900 0.000000e+00 0.33954296 0.33954296 0.33954296
## 67 0.05529151 -25.196792 0.000000e+00 -1.39316873 -1.39316873 -1.39316873
## 68 0.04421542 -20.044676 0.000000e+00 -0.88628367 -0.88628367 -0.88628367
## 69 0.03823662 -1.036002 3.002012e-01 -0.03961322 -0.03961322 -0.03961322
## 70 0.04372546 19.491895 0.000000e+00 0.85229200 0.85229200 0.85229200
## 71 0.00000000 NA NA 0.69845907 0.69845907 0.69845907
## 72 0.00000000 NA NA 0.26353165 0.26353165 0.26353165
## 73 0.00000000 NA NA 0.33596295 0.33596295 0.33596295
## 74 0.00000000 NA NA 0.23650303 0.23650303 0.23650303
## 75 0.00000000 NA NA 0.28721104 0.28721104 0.28721104
## 76 0.00000000 NA NA 0.37674200 0.37674200 0.37674200
## 77 0.00000000 NA NA 0.68015419 0.68015419 0.68015419
## 78 0.00000000 NA NA 0.49203354 0.49203354 0.49203354
## 79 0.00000000 NA NA 0.47016375 0.47016375 0.47016375
## 80 0.00000000 NA NA 0.74840102 0.74840102 0.74840102
## 81 0.00000000 NA NA 0.39888066 0.39888066 0.39888066
## 82 0.00000000 NA NA 0.33684559 0.33684559 0.33684559
## 83 0.00000000 NA NA 0.36377678 0.36377678 0.36377678
## 84 0.01531894 5.772969 7.788655e-09 0.29327954 0.29327954 0.29327954
## 85 0.01691793 6.089850 1.130165e-09 0.15515352 0.15515352 0.15515352
## 86 0.02152084 13.866993 0.000000e+00 0.41867846 0.41867846 0.41867846
## 87 0.03508396 1.437806 1.504891e-01 0.09520664 0.09520664 0.09520664
## 88 0.01551147 6.310989 2.772580e-10 0.16285073 0.16285073 0.16285073
## 89 0.02533446 8.411671 0.000000e+00 1.00000000 1.00000000 1.00000000
## 90 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 91 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 92 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 93 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 94 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 95 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 96 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 97 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 98 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 99 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 100 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 101 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 102 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 103 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 104 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 105 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 106 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 107 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 108 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 109 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 110 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 111 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 112 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 113 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 114 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 115 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 116 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 117 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 118 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 119 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 120 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 121 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 122 NA NA NA NA NA NA
## 123 NA NA NA NA NA NA
## 124 NA NA NA NA NA NA
## 125 NA NA NA NA NA NA
## 126 NA NA NA NA NA NA
## 127 NA NA NA NA NA NA
## 128 NA NA NA NA NA NA
## 129 NA NA NA NA NA NA
## 130 NA NA NA NA NA NA
## 131 NA NA NA NA NA NA
## 132 NA NA NA NA NA NA
## 133 NA NA NA NA NA NA
## 134 NA NA NA NA NA NA
## 135 NA NA NA NA NA NA
## 136 NA NA NA NA NA NA
## 137 NA NA NA NA NA NA
## 138 NA NA NA NA NA NA
## 139 NA NA NA NA NA NA## For constructs with categorical indicators, Zumbo et al.`s (2007) "ordinal alpha" is calculated in addition to the standard alpha, which treats ordinal variables as numeric. See Chalmers (2018) for a critique of "alpha.ord" and the response by Zumbo & Kroc (2019). Likewise, average variance extracted is calculated from polychoric (polyserial) not Pearson correlations.## FatIntInovAUTONOMIAINOV FatIntInovLIDERANCA FatIntInovPROCESSO
## alpha 0.5402514 0.7864954 0.7782769
## alpha.ord 0.6406105 0.8317978 0.8093619
## omega 0.5805903 0.7911153 0.7902265
## omega2 0.5805903 0.7911153 0.7902265
## omega3 0.5805903 0.7911154 0.7969000
## avevar 0.5190046 0.7137670 0.5409648
## FatIntInovRELACINTERSET FatIntInovRELACINTRASET
## alpha 0.4767940 0.7819115
## alpha.ord 0.5349178 0.8295776
## omega 0.4957756 0.7997910
## omega2 0.4957756 0.7997910
## omega3 0.4957756 0.8122452
## avevar 0.3907176 0.6334990
## lhs op rhs mi epc sepc.lv sepc.all
## 138 FatIntInovLIDERANCA =~ PROCESSO04 103.372 0.600 0.489 0.489
## 181 InovFatInt =~ PROCESSO04 92.897 1.109 0.512 0.512
## 160 FatIntInovRELACINTERSET =~ PROCESSO04 85.361 0.676 0.492 0.492
## 171 FatIntInovRELACINTRASET =~ PROCESSO04 80.356 0.544 0.421 0.421
## 127 FatIntInovAUTONOMIAINOV =~ PROCESSO04 60.761 0.694 0.381 0.381
## 231 PROCESSO01 ~~ PROCESSO04 41.689 -0.190 -0.190 -0.505
## 130 FatIntInovAUTONOMIAINOV =~ RELACINTRASET01 32.512 0.834 0.458 0.458
## 264 RELACINTRASET02 ~~ RELACINTRASET03 30.730 0.146 0.146 0.418
## 184 InovFatInt =~ RELACINTRASET01 30.729 2.124 0.980 0.980
## 229 PROCESSO01 ~~ PROCESSO02 28.774 0.140 0.140 0.425
## sepc.nox
## 138 0.489
## 181 0.512
## 160 0.492
## 171 0.421
## 127 0.381
## 231 -0.505
## 130 0.458
## 264 0.418
## 184 0.980
## 229 0.425
## resultadoInovFatIntreliabilityL2(resultadoInovFatInt[[2]],"InovFatInt")## omegaL1 omegaL2 partialOmegaL1
## 0.8589876 0.9432205 0.9238793#MODELO DE MEDIDA GERAL - TODAS AS VARIAVEIS LATENTES E INOVACAO LATENTE
scales<-c("ASCBI","AEC","AUTOUNI","ATIVIDADES","INOVACAO","ESCRECURSO","InovFatExt","InovFatInt","ResInov")
corr<-list()
scales_corr<-c("ASCC","ASCS",scales[c(2,6:9)])
for (i in 1:(length(scales_corr)-1)){corr[i]<-paste0(scales_corr[i],"~~",paste0(scales_corr[i+1:(length(scales_corr)-i)],collapse="+",sep=""))}
corr<-paste0(corr,collapse="\n",sep="")
scales<-c("ASCBI","AEC","INOVACAO","ESCRECURSO","InovFatExt","InovFatInt","ResInov","MeasureModel")
MeasureModel<-paste(dim_scales$latent[c(1,4,6:9)],collapse="\n",sep="\n")
dim_scales[dim_scales$DIM=="MeasureModel",c(4)]<-paste(MeasureModel,corr,collapse="\n",sep="\n")
#terms<-"\nINOVACAOG=~INOVACAO+ResInov"
#add_term(10,terms)
cat(paste(dim_scales[dim_scales$DIM==scales[8],4]))## AEC=~AEC01+AEC02+AEC03+AEC04
## ESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04
## ESCRECURSO03 ~~ ESCRECURSO04
## ResInov=~RESINOV01+RESINOV02+RESINOV03
## InovFatExt=~ DEPENRECEXT02+EFETRELEXT01+EFETRELEXT02+EFETRELEXT03+FORMALRELEXT01+FORMALRELEXT02
##
##
## DEPENRECEXT02~~FORMALRELEXT01
##
## FORMALRELEXT01~~FORMALRELEXT02
##
## DEPENRECEXT02~~FORMALRELEXT02
## FatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02
## FatIntInovLIDERANCA=~+LIDERANCA02+LIDERANCA03
## FatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04
## FatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02
## FatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03
## InovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET
## ASCC=~ ASCC01+ASCC02+ASCC03
## ASCS=~ ASCS01+ASCS02+ASCS03
## ASCS01 ~~ ASCS02
## ASCC01 ~~ ASCC02
## ASCC~~ASCS+AEC+ESCRECURSO+InovFatExt+InovFatInt+ResInov
## ASCS~~AEC+ESCRECURSO+InovFatExt+InovFatInt+ResInov
## AEC~~ESCRECURSO+InovFatExt+InovFatInt+ResInov
## ESCRECURSO~~InovFatExt+InovFatInt+ResInov
## InovFatExt~~InovFatInt+ResInov
## InovFatInt~~ResInov#MeasureModelLevel2<-dim_scales[dim_scales$DIM==scales[10],c(4)]
cfaFun("MeasureModel",T)## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING:
## The variance-covariance matrix of the estimated parameters (vcov)
## does not appear to be positive definite! The smallest eigenvalue
## (= -8.418972e-18) is smaller than zero. This may be a symptom that
## the model is not identified.## [1] "Modelo utilizado foi \n AEC=~AEC01+AEC02+AEC03+AEC04\nESCRECURSO=~ESCRECURSO01+ESCRECURSO02+ESCRECURSO03+ESCRECURSO04 \nESCRECURSO03\t~~\tESCRECURSO04\nResInov=~RESINOV01+RESINOV02+RESINOV03\nInovFatExt=~ DEPENRECEXT02+EFETRELEXT01+EFETRELEXT02+EFETRELEXT03+FORMALRELEXT01+FORMALRELEXT02\n \n\nDEPENRECEXT02~~FORMALRELEXT01\n\nFORMALRELEXT01~~FORMALRELEXT02\n\nDEPENRECEXT02~~FORMALRELEXT02\nFatIntInovAUTONOMIAINOV=~AUTONOMIAINOV01+AUTONOMIAINOV02\nFatIntInovLIDERANCA=~+LIDERANCA02+LIDERANCA03\nFatIntInovPROCESSO=~PROCESSO01+PROCESSO02+PROCESSO03+PROCESSO04\nFatIntInovRELACINTERSET=~RELACINTERSET01+RELACINTERSET02\nFatIntInovRELACINTRASET=~RELACINTRASET01+RELACINTRASET02+RELACINTRASET03\nInovFatInt=~FatIntInovAUTONOMIAINOV+FatIntInovLIDERANCA+FatIntInovPROCESSO+FatIntInovRELACINTERSET+FatIntInovRELACINTRASET\nASCC=~ ASCC01+ASCC02+ASCC03\nASCS=~ ASCS01+ASCS02+ASCS03 \nASCS01\t~~ ASCS02\nASCC01\t~~\tASCC02\nASCC~~ASCS+AEC+ESCRECURSO+InovFatExt+InovFatInt+ResInov\nASCS~~AEC+ESCRECURSO+InovFatExt+InovFatInt+ResInov\nAEC~~ESCRECURSO+InovFatExt+InovFatInt+ResInov\nESCRECURSO~~InovFatExt+InovFatInt+ResInov\nInovFatExt~~InovFatInt+ResInov\nInovFatInt~~ResInov"
## lavaan 0.6-9 ended normally after 92 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 232
##
## Number of observations 1076
##
## Model Test User Model:
## Standard Robust
## Test Statistic 2049.231 2287.946
## Degrees of freedom 562 562
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.012
## Shift parameter 262.500
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 164775.569 46596.693
## Degrees of freedom 630 630
## P-value 0.000 0.000
## Scaling correction factor 3.571
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.991 0.962
## Tucker-Lewis Index (TLI) 0.990 0.958
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.050 0.053
## 90 Percent confidence interval - lower 0.047 0.051
## 90 Percent confidence interval - upper 0.052 0.056
## P-value RMSEA <= 0.05 0.604 0.006
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.049 0.049
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv
## AEC =~
## AEC01 1.000 0.767
## AEC02 1.145 0.033 34.594 0.000 0.878
## AEC03 0.728 0.037 19.452 0.000 0.558
## AEC04 1.128 0.030 37.825 0.000 0.865
## ESCRECURSO =~
## ESCRECURSO01 1.000 0.782
## ESCRECURSO02 1.179 0.036 32.988 0.000 0.922
## ESCRECURSO03 0.975 0.027 36.350 0.000 0.762
## ESCRECURSO04 0.862 0.029 30.124 0.000 0.674
## ResInov =~
## RESINOV01 1.000 0.905
## RESINOV02 1.023 0.013 79.135 0.000 0.926
## RESINOV03 1.005 0.013 78.215 0.000 0.909
## InovFatExt =~
## DEPENRECEXT02 1.000 0.691
## EFETRELEXT01 1.330 0.040 33.024 0.000 0.919
## EFETRELEXT02 1.228 0.038 32.460 0.000 0.849
## EFETRELEXT03 1.199 0.039 31.011 0.000 0.829
## FORMALRELEXT01 1.112 0.028 40.007 0.000 0.769
## FORMALRELEXT02 1.083 0.034 31.829 0.000 0.749
## FatIntInovAUTONOMIAINOV =~
## AUTONOMIAINOV0 1.000 0.570
## AUTONOMIAINOV0 1.452 0.078 18.582 0.000 0.827
## FatIntInovLIDERANCA =~
## LIDERANCA02 1.000 0.799
## LIDERANCA03 1.115 0.026 42.932 0.000 0.891
## FatIntInovPROCESSO =~
## PROCESSO01 1.000 0.883
## PROCESSO02 0.863 0.026 33.773 0.000 0.762
## PROCESSO03 0.608 0.031 19.753 0.000 0.537
## PROCESSO04 0.813 0.030 26.757 0.000 0.718
## FatIntInovRELACINTERSET =~
## RELACINTERSET0 1.000 0.749
## RELACINTERSET0 0.651 0.036 17.935 0.000 0.487
## FatIntInovRELACINTRASET =~
## RELACINTRASET0 1.000 0.805
## RELACINTRASET0 1.010 0.028 36.379 0.000 0.813
## RELACINTRASET0 0.962 0.027 36.035 0.000 0.774
## InovFatInt =~
## FIIAUTONOMIAIN 1.000 0.861
## FtInILIDERANCA 1.471 0.085 17.365 0.000 0.903
## FtIntIPROCESSO 1.436 0.083 17.319 0.000 0.797
## FIIRELACINTERS 1.453 0.084 17.261 0.000 0.951
## FIIRELACINTRAS 1.448 0.079 18.322 0.000 0.883
## ASCC =~
## ASCC01 1.000 0.747
## ASCC02 1.147 0.039 29.526 0.000 0.857
## ASCC03 1.060 0.043 24.654 0.000 0.792
## ASCS =~
## ASCS01 1.000 0.666
## ASCS02 1.252 0.041 30.444 0.000 0.834
## ASCS03 1.247 0.055 22.564 0.000 0.830
## Std.all
##
## 0.767
## 0.878
## 0.558
## 0.865
##
## 0.782
## 0.922
## 0.762
## 0.674
##
## 0.905
## 0.926
## 0.909
##
## 0.691
## 0.919
## 0.849
## 0.829
## 0.769
## 0.749
##
## 0.570
## 0.827
##
## 0.799
## 0.891
##
## 0.883
## 0.762
## 0.537
## 0.718
##
## 0.749
## 0.487
##
## 0.805
## 0.813
## 0.774
##
## 0.861
## 0.903
## 0.797
## 0.951
## 0.883
##
## 0.747
## 0.857
## 0.792
##
## 0.666
## 0.834
## 0.830
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .ESCRECURSO03 ~~
## .ESCRECURSO04 0.192 0.020 9.700 0.000 0.192 0.400
## .DEPENRECEXT02 ~~
## .FORMALRELEXT01 0.250 0.020 12.281 0.000 0.250 0.542
## .FORMALRELEXT01 ~~
## .FORMALRELEXT02 0.127 0.018 6.874 0.000 0.127 0.300
## .DEPENRECEXT02 ~~
## .FORMALRELEXT02 0.108 0.019 5.765 0.000 0.108 0.225
## .ASCS01 ~~
## .ASCS02 0.201 0.022 8.980 0.000 0.201 0.488
## .ASCC01 ~~
## .ASCC02 -0.060 0.024 -2.520 0.012 -0.060 -0.176
## ASCC ~~
## ASCS 0.337 0.021 16.226 0.000 0.678 0.678
## AEC ~~
## ASCC 0.201 0.019 10.592 0.000 0.352 0.352
## ESCRECURSO ~~
## ASCC -0.088 0.020 -4.373 0.000 -0.151 -0.151
## InovFatExt ~~
## ASCC 0.203 0.019 10.984 0.000 0.394 0.394
## InovFatInt ~~
## ASCC 0.220 0.017 12.832 0.000 0.602 0.602
## ResInov ~~
## ASCC 0.337 0.021 15.708 0.000 0.499 0.499
## AEC ~~
## ASCS 0.128 0.018 7.023 0.000 0.250 0.250
## ESCRECURSO ~~
## ASCS -0.114 0.018 -6.151 0.000 -0.219 -0.219
## InovFatExt ~~
## ASCS 0.155 0.017 8.992 0.000 0.336 0.336
## InovFatInt ~~
## ASCS 0.221 0.017 12.855 0.000 0.678 0.678
## ResInov ~~
## ASCS 0.350 0.022 16.234 0.000 0.580 0.580
## AEC ~~
## ESCRECURSO 0.012 0.021 0.579 0.563 0.020 0.020
## InovFatExt 0.113 0.018 6.376 0.000 0.213 0.213
## InovFatInt 0.059 0.013 4.460 0.000 0.157 0.157
## ResInov 0.144 0.022 6.426 0.000 0.208 0.208
## ESCRECURSO ~~
## InovFatExt 0.033 0.018 1.860 0.063 0.061 0.061
## InovFatInt -0.084 0.012 -6.698 0.000 -0.218 -0.218
## ResInov -0.175 0.023 -7.621 0.000 -0.247 -0.247
## InovFatExt ~~
## InovFatInt 0.197 0.016 12.301 0.000 0.582 0.582
## ResInov ~~
## InovFatExt 0.336 0.020 16.688 0.000 0.536 0.536
## InovFatInt 0.381 0.022 17.248 0.000 0.858 0.858
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .AEC01 0.000 0.000 0.000
## .AEC02 0.000 0.000 0.000
## .AEC03 0.000 0.000 0.000
## .AEC04 0.000 0.000 0.000
## .ESCRECURSO01 0.000 0.000 0.000
## .ESCRECURSO02 0.000 0.000 0.000
## .ESCRECURSO03 0.000 0.000 0.000
## .ESCRECURSO04 0.000 0.000 0.000
## .RESINOV01 0.000 0.000 0.000
## .RESINOV02 0.000 0.000 0.000
## .RESINOV03 0.000 0.000 0.000
## .DEPENRECEXT02 0.000 0.000 0.000
## .EFETRELEXT01 0.000 0.000 0.000
## .EFETRELEXT02 0.000 0.000 0.000
## .EFETRELEXT03 0.000 0.000 0.000
## .FORMALRELEXT01 0.000 0.000 0.000
## .FORMALRELEXT02 0.000 0.000 0.000
## .AUTONOMIAINOV0 0.000 0.000 0.000
## .AUTONOMIAINOV0 0.000 0.000 0.000
## .LIDERANCA02 0.000 0.000 0.000
## .LIDERANCA03 0.000 0.000 0.000
## .PROCESSO01 0.000 0.000 0.000
## .PROCESSO02 0.000 0.000 0.000
## .PROCESSO03 0.000 0.000 0.000
## .PROCESSO04 0.000 0.000 0.000
## .RELACINTERSET0 0.000 0.000 0.000
## .RELACINTERSET0 0.000 0.000 0.000
## .RELACINTRASET0 0.000 0.000 0.000
## .RELACINTRASET0 0.000 0.000 0.000
## .RELACINTRASET0 0.000 0.000 0.000
## .ASCC01 0.000 0.000 0.000
## .ASCC02 0.000 0.000 0.000
## .ASCC03 0.000 0.000 0.000
## .ASCS01 0.000 0.000 0.000
## .ASCS02 0.000 0.000 0.000
## .ASCS03 0.000 0.000 0.000
## AEC 0.000 0.000 0.000
## ESCRECURSO 0.000 0.000 0.000
## ResInov 0.000 0.000 0.000
## InovFatExt 0.000 0.000 0.000
## .FIIAUTONOMIAIN 0.000 0.000 0.000
## .FtInILIDERANCA 0.000 0.000 0.000
## .FtIntIPROCESSO 0.000 0.000 0.000
## .FIIRELACINTERS 0.000 0.000 0.000
## .FIIRELACINTRAS 0.000 0.000 0.000
## InovFatInt 0.000 0.000 0.000
## ASCC 0.000 0.000 0.000
## ASCS 0.000 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## AEC01|t1 -3.112 0.295 -10.541 0.000 -3.112 -3.112
## AEC01|t2 -2.538 0.143 -17.804 0.000 -2.538 -2.538
## AEC01|t3 -1.943 0.080 -24.182 0.000 -1.943 -1.943
## AEC01|t4 -1.223 0.051 -24.142 0.000 -1.223 -1.223
## AEC01|t5 -0.337 0.039 -8.637 0.000 -0.337 -0.337
## AEC01|t6 0.643 0.041 15.584 0.000 0.643 0.643
## AEC02|t1 -3.112 0.295 -10.541 0.000 -3.112 -3.112
## AEC02|t2 -2.772 0.188 -14.761 0.000 -2.772 -2.772
## AEC02|t3 -2.199 0.101 -21.865 0.000 -2.199 -2.199
## AEC02|t4 -1.720 0.068 -25.348 0.000 -1.720 -1.720
## AEC02|t5 -0.728 0.042 -17.276 0.000 -0.728 -0.728
## AEC02|t6 0.425 0.040 10.752 0.000 0.425 0.425
## AEC03|t1 -2.772 0.188 -14.761 0.000 -2.772 -2.772
## AEC03|t2 -2.354 0.117 -20.106 0.000 -2.354 -2.354
## AEC03|t3 -1.796 0.072 -25.053 0.000 -1.796 -1.796
## AEC03|t4 -0.900 0.044 -20.264 0.000 -0.900 -0.900
## AEC03|t5 -0.028 0.038 -0.731 0.465 -0.028 -0.028
## AEC03|t6 0.806 0.043 18.706 0.000 0.806 0.806
## AEC04|t1 -2.901 0.221 -13.100 0.000 -2.901 -2.901
## AEC04|t2 -2.677 0.167 -15.999 0.000 -2.677 -2.677
## AEC04|t3 -2.084 0.091 -23.015 0.000 -2.084 -2.084
## AEC04|t4 -1.457 0.057 -25.418 0.000 -1.457 -1.457
## AEC04|t5 -0.484 0.040 -12.135 0.000 -0.484 -0.484
## AEC04|t6 0.581 0.041 14.284 0.000 0.581 0.581
## ESCRECURSO01|1 -1.079 0.048 -22.703 0.000 -1.079 -1.079
## ESCRECURSO01|2 -0.654 0.041 -15.819 0.000 -0.654 -0.654
## ESCRECURSO01|3 0.105 0.038 2.742 0.006 0.105 0.105
## ESCRECURSO01|4 0.810 0.043 18.763 0.000 0.810 0.810
## ESCRECURSO02|1 -0.965 0.045 -21.230 0.000 -0.965 -0.965
## ESCRECURSO02|2 -0.570 0.041 -14.047 0.000 -0.570 -0.570
## ESCRECURSO02|3 0.107 0.038 2.803 0.005 0.107 0.107
## ESCRECURSO02|4 0.829 0.043 19.101 0.000 0.829 0.829
## ESCRECURSO03|1 -1.030 0.047 -22.109 0.000 -1.030 -1.030
## ESCRECURSO03|2 -0.606 0.041 -14.818 0.000 -0.606 -0.606
## ESCRECURSO03|3 0.173 0.038 4.508 0.000 0.173 0.173
## ESCRECURSO03|4 1.014 0.046 21.905 0.000 1.014 1.014
## ESCRECURSO04|1 -1.079 0.048 -22.703 0.000 -1.079 -1.079
## ESCRECURSO04|2 -0.666 0.041 -16.054 0.000 -0.666 -0.666
## ESCRECURSO04|3 0.121 0.038 3.168 0.002 0.121 0.121
## ESCRECURSO04|4 0.925 0.045 20.643 0.000 0.925 0.925
## RESINOV01|t1 -1.575 0.062 -25.574 0.000 -1.575 -1.575
## RESINOV01|t2 -1.022 0.046 -22.007 0.000 -1.022 -1.022
## RESINOV01|t3 -0.313 0.039 -8.031 0.000 -0.313 -0.313
## RESINOV01|t4 0.765 0.043 17.966 0.000 0.765 0.765
## RESINOV02|t1 -1.334 0.054 -24.908 0.000 -1.334 -1.334
## RESINOV02|t2 -0.836 0.043 -19.213 0.000 -0.836 -0.836
## RESINOV02|t3 -0.254 0.039 -6.575 0.000 -0.254 -0.254
## RESINOV02|t4 0.537 0.040 13.332 0.000 0.537 0.537
## RESINOV03|t1 -1.591 0.062 -25.571 0.000 -1.591 -1.591
## RESINOV03|t2 -1.071 0.047 -22.606 0.000 -1.071 -1.071
## RESINOV03|t3 -0.322 0.039 -8.274 0.000 -0.322 -0.322
## RESINOV03|t4 0.595 0.041 14.581 0.000 0.595 0.595
## DEPENRECEXT02| -1.351 0.054 -25.001 0.000 -1.351 -1.351
## DEPENRECEXT02| -0.999 0.046 -21.700 0.000 -0.999 -0.999
## DEPENRECEXT02| -0.337 0.039 -8.637 0.000 -0.337 -0.337
## DEPENRECEXT02| 0.640 0.041 15.525 0.000 0.640 0.640
## EFETRELEXT01|1 -1.643 0.064 -25.523 0.000 -1.643 -1.643
## EFETRELEXT01|2 -1.126 0.048 -23.225 0.000 -1.126 -1.126
## EFETRELEXT01|3 -0.271 0.039 -7.000 0.000 -0.271 -0.271
## EFETRELEXT01|4 0.617 0.041 15.054 0.000 0.617 0.617
## EFETRELEXT02|1 -1.730 0.068 -25.315 0.000 -1.730 -1.730
## EFETRELEXT02|2 -1.238 0.051 -24.262 0.000 -1.238 -1.238
## EFETRELEXT02|3 -0.161 0.038 -4.203 0.000 -0.161 -0.161
## EFETRELEXT02|4 0.790 0.043 18.423 0.000 0.790 0.790
## EFETRELEXT03|1 -1.762 0.070 -25.199 0.000 -1.762 -1.762
## EFETRELEXT03|2 -1.312 0.053 -24.777 0.000 -1.312 -1.312
## EFETRELEXT03|3 -0.340 0.039 -8.698 0.000 -0.340 -0.340
## EFETRELEXT03|4 0.774 0.043 18.138 0.000 0.774 0.774
## FORMALRELEXT01 -1.591 0.062 -25.571 0.000 -1.591 -1.591
## FORMALRELEXT01 -1.190 0.050 -23.850 0.000 -1.190 -1.190
## FORMALRELEXT01 -0.364 0.039 -9.303 0.000 -0.364 -0.364
## FORMALRELEXT01 0.603 0.041 14.758 0.000 0.603 0.603
## FORMALRELEXT02 -1.375 0.055 -25.116 0.000 -1.375 -1.375
## FORMALRELEXT02 -0.859 0.044 -19.603 0.000 -0.859 -0.859
## FORMALRELEXT02 0.035 0.038 0.914 0.361 0.035 0.035
## FORMALRELEXT02 0.876 0.044 19.880 0.000 0.876 0.876
## AUTONOMIAINOV0 -0.654 0.041 -15.819 0.000 -0.654 -0.654
## AUTONOMIAINOV0 -0.308 0.039 -7.910 0.000 -0.308 -0.308
## AUTONOMIAINOV0 0.216 0.039 5.603 0.000 0.216 0.216
## AUTONOMIAINOV0 0.932 0.045 20.751 0.000 0.932 0.932
## AUTONOMIAINOV0 -1.591 0.062 -25.571 0.000 -1.591 -1.591
## AUTONOMIAINOV0 -1.139 0.049 -23.363 0.000 -1.139 -1.139
## AUTONOMIAINOV0 -0.701 0.042 -16.754 0.000 -0.701 -0.701
## AUTONOMIAINOV0 0.138 0.038 3.595 0.000 0.138 0.138
## LIDERANCA02|t1 -1.387 0.055 -25.171 0.000 -1.387 -1.387
## LIDERANCA02|t2 -0.914 0.045 -20.481 0.000 -0.914 -0.914
## LIDERANCA02|t3 -0.262 0.039 -6.757 0.000 -0.262 -0.262
## LIDERANCA02|t4 0.479 0.040 12.015 0.000 0.479 0.479
## LIDERANCA03|t1 -1.306 0.053 -24.743 0.000 -1.306 -1.306
## LIDERANCA03|t2 -0.826 0.043 -19.044 0.000 -0.826 -0.826
## LIDERANCA03|t3 -0.257 0.039 -6.636 0.000 -0.257 -0.257
## LIDERANCA03|t4 0.609 0.041 14.877 0.000 0.609 0.609
## PROCESSO01|t1 -1.126 0.048 -23.225 0.000 -1.126 -1.126
## PROCESSO01|t2 -0.474 0.040 -11.895 0.000 -0.474 -0.474
## PROCESSO01|t3 0.387 0.039 9.847 0.000 0.387 0.387
## PROCESSO01|t4 1.253 0.051 24.379 0.000 1.253 1.253
## PROCESSO02|t1 -1.157 0.049 -23.544 0.000 -1.157 -1.157
## PROCESSO02|t2 -0.492 0.040 -12.315 0.000 -0.492 -0.492
## PROCESSO02|t3 0.161 0.038 4.203 0.000 0.161 0.161
## PROCESSO02|t4 0.961 0.045 21.177 0.000 0.961 0.961
## PROCESSO03|t1 -0.819 0.043 -18.932 0.000 -0.819 -0.819
## PROCESSO03|t2 -0.238 0.039 -6.150 0.000 -0.238 -0.238
## PROCESSO03|t3 0.402 0.039 10.209 0.000 0.402 0.402
## PROCESSO03|t4 1.139 0.049 23.363 0.000 1.139 1.139
## PROCESSO04|t1 -1.444 0.057 -25.380 0.000 -1.444 -1.444
## PROCESSO04|t2 -0.692 0.042 -16.580 0.000 -0.692 -0.692
## PROCESSO04|t3 0.126 0.038 3.290 0.001 0.126 0.126
## PROCESSO04|t4 1.026 0.047 22.058 0.000 1.026 1.026
## RELACINTERSET0 -1.832 0.074 -24.874 0.000 -1.832 -1.832
## RELACINTERSET0 -1.387 0.055 -25.171 0.000 -1.387 -1.387
## RELACINTERSET0 -0.450 0.040 -11.354 0.000 -0.450 -0.450
## RELACINTERSET0 0.476 0.040 11.955 0.000 0.476 0.476
## RELACINTERSET0 -1.066 0.047 -22.557 0.000 -1.066 -1.066
## RELACINTERSET0 -0.274 0.039 -7.061 0.000 -0.274 -0.274
## RELACINTERSET0 0.654 0.041 15.819 0.000 0.654 0.654
## RELACINTERSET0 1.301 0.053 24.708 0.000 1.301 1.301
## RELACINTRASET0 -1.214 0.050 -24.060 0.000 -1.214 -1.214
## RELACINTRASET0 -0.722 0.042 -17.160 0.000 -0.722 -0.722
## RELACINTRASET0 -0.089 0.038 -2.316 0.021 -0.089 -0.089
## RELACINTRASET0 0.698 0.042 16.696 0.000 0.698 0.698
## RELACINTRASET0 -1.652 0.065 -25.509 0.000 -1.652 -1.652
## RELACINTRASET0 -1.248 0.051 -24.340 0.000 -1.248 -1.248
## RELACINTRASET0 -0.537 0.040 -13.332 0.000 -0.537 -0.537
## RELACINTRASET0 0.340 0.039 8.698 0.000 0.340 0.340
## RELACINTRASET0 -1.393 0.055 -25.197 0.000 -1.393 -1.393
## RELACINTRASET0 -0.886 0.044 -20.045 0.000 -0.886 -0.886
## RELACINTRASET0 -0.040 0.038 -1.036 0.300 -0.040 -0.040
## RELACINTRASET0 0.852 0.044 19.492 0.000 0.852 0.852
## ASCC01|t1 -2.285 0.109 -20.911 0.000 -2.285 -2.285
## ASCC01|t2 -1.913 0.078 -24.390 0.000 -1.913 -1.913
## ASCC01|t3 -1.514 0.059 -25.532 0.000 -1.514 -1.514
## ASCC01|t4 -0.765 0.043 -17.966 0.000 -0.765 -0.765
## ASCC01|t5 -0.086 0.038 -2.255 0.024 -0.086 -0.086
## ASCC01|t6 0.883 0.044 19.990 0.000 0.883 0.883
## ASCC02|t1 -2.127 0.094 -22.607 0.000 -2.127 -2.127
## ASCC02|t2 -1.680 0.066 -25.454 0.000 -1.680 -1.680
## ASCC02|t3 -1.274 0.052 -24.529 0.000 -1.274 -1.274
## ASCC02|t4 -0.669 0.041 -16.112 0.000 -0.669 -0.669
## ASCC02|t5 -0.012 0.038 -0.305 0.761 -0.012 -0.012
## ASCC02|t6 0.856 0.044 19.548 0.000 0.856 0.856
## ASCC03|t1 -2.026 0.086 -23.528 0.000 -2.026 -2.026
## ASCC03|t2 -1.583 0.062 -25.574 0.000 -1.583 -1.583
## ASCC03|t3 -1.153 0.049 -23.499 0.000 -1.153 -1.153
## ASCC03|t4 -0.374 0.039 -9.545 0.000 -0.374 -0.374
## ASCC03|t5 0.305 0.039 7.850 0.000 0.305 0.305
## ASCC03|t6 1.108 0.048 23.038 0.000 1.108 1.108
## ASCS01|t1 -1.485 0.058 -25.483 0.000 -1.485 -1.485
## ASCS01|t2 -1.166 0.049 -23.633 0.000 -1.166 -1.166
## ASCS01|t3 -0.947 0.045 -20.965 0.000 -0.947 -0.947
## ASCS01|t4 -0.240 0.039 -6.210 0.000 -0.240 -0.240
## ASCS01|t5 0.211 0.039 5.481 0.000 0.211 0.211
## ASCS01|t6 0.862 0.044 19.659 0.000 0.862 0.862
## ASCS02|t1 -1.438 0.057 -25.360 0.000 -1.438 -1.438
## ASCS02|t2 -1.096 0.048 -22.896 0.000 -1.096 -1.096
## ASCS02|t3 -0.900 0.044 -20.264 0.000 -0.900 -0.900
## ASCS02|t4 -0.278 0.039 -7.182 0.000 -0.278 -0.278
## ASCS02|t5 0.221 0.039 5.724 0.000 0.221 0.221
## ASCS02|t6 0.836 0.043 19.213 0.000 0.836 0.836
## ASCS03|t1 -1.464 0.058 -25.435 0.000 -1.464 -1.464
## ASCS03|t2 -1.148 0.049 -23.454 0.000 -1.148 -1.148
## ASCS03|t3 -0.897 0.044 -20.209 0.000 -0.897 -0.897
## ASCS03|t4 -0.176 0.038 -4.569 0.000 -0.176 -0.176
## ASCS03|t5 0.340 0.039 8.698 0.000 0.340 0.340
## ASCS03|t6 1.054 0.047 22.409 0.000 1.054 1.054
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .AEC01 0.412 0.412 0.412
## .AEC02 0.229 0.229 0.229
## .AEC03 0.688 0.688 0.688
## .AEC04 0.251 0.251 0.251
## .ESCRECURSO01 0.389 0.389 0.389
## .ESCRECURSO02 0.151 0.151 0.151
## .ESCRECURSO03 0.419 0.419 0.419
## .ESCRECURSO04 0.546 0.546 0.546
## .RESINOV01 0.181 0.181 0.181
## .RESINOV02 0.142 0.142 0.142
## .RESINOV03 0.173 0.173 0.173
## .DEPENRECEXT02 0.522 0.522 0.522
## .EFETRELEXT01 0.155 0.155 0.155
## .EFETRELEXT02 0.279 0.279 0.279
## .EFETRELEXT03 0.313 0.313 0.313
## .FORMALRELEXT01 0.409 0.409 0.409
## .FORMALRELEXT02 0.439 0.439 0.439
## .AUTONOMIAINOV0 0.675 0.675 0.675
## .AUTONOMIAINOV0 0.316 0.316 0.316
## .LIDERANCA02 0.361 0.361 0.361
## .LIDERANCA03 0.206 0.206 0.206
## .PROCESSO01 0.221 0.221 0.221
## .PROCESSO02 0.420 0.420 0.420
## .PROCESSO03 0.712 0.712 0.712
## .PROCESSO04 0.485 0.485 0.485
## .RELACINTERSET0 0.439 0.439 0.439
## .RELACINTERSET0 0.762 0.762 0.762
## .RELACINTRASET0 0.352 0.352 0.352
## .RELACINTRASET0 0.339 0.339 0.339
## .RELACINTRASET0 0.400 0.400 0.400
## .ASCC01 0.442 0.442 0.442
## .ASCC02 0.266 0.266 0.266
## .ASCC03 0.373 0.373 0.373
## .ASCS01 0.557 0.557 0.557
## .ASCS02 0.305 0.305 0.305
## .ASCS03 0.311 0.311 0.311
## AEC 0.588 0.027 21.990 0.000 1.000 1.000
## ESCRECURSO 0.611 0.025 24.334 0.000 1.000 1.000
## ResInov 0.819 0.015 52.959 0.000 1.000 1.000
## InovFatExt 0.478 0.028 17.304 0.000 1.000 1.000
## .FIIAUTONOMIAIN 0.084 0.016 5.263 0.000 0.259 0.259
## .FtInILIDERANCA 0.118 0.015 8.050 0.000 0.185 0.185
## .FtIntIPROCESSO 0.284 0.023 12.487 0.000 0.364 0.364
## .FIIRELACINTERS 0.054 0.037 1.438 0.150 0.096 0.096
## .FIIRELACINTRAS 0.143 0.017 8.494 0.000 0.221 0.221
## InovFatInt 0.240 0.026 9.357 0.000 1.000 1.000
## ASCC 0.558 0.034 16.250 0.000 1.000 1.000
## ASCS 0.443 0.032 14.005 0.000 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## AEC01 1.000 1.000 1.000
## AEC02 1.000 1.000 1.000
## AEC03 1.000 1.000 1.000
## AEC04 1.000 1.000 1.000
## ESCRECURSO01 1.000 1.000 1.000
## ESCRECURSO02 1.000 1.000 1.000
## ESCRECURSO03 1.000 1.000 1.000
## ESCRECURSO04 1.000 1.000 1.000
## RESINOV01 1.000 1.000 1.000
## RESINOV02 1.000 1.000 1.000
## RESINOV03 1.000 1.000 1.000
## DEPENRECEXT02 1.000 1.000 1.000
## EFETRELEXT01 1.000 1.000 1.000
## EFETRELEXT02 1.000 1.000 1.000
## EFETRELEXT03 1.000 1.000 1.000
## FORMALRELEXT01 1.000 1.000 1.000
## FORMALRELEXT02 1.000 1.000 1.000
## AUTONOMIAINOV0 1.000 1.000 1.000
## AUTONOMIAINOV0 1.000 1.000 1.000
## LIDERANCA02 1.000 1.000 1.000
## LIDERANCA03 1.000 1.000 1.000
## PROCESSO01 1.000 1.000 1.000
## PROCESSO02 1.000 1.000 1.000
## PROCESSO03 1.000 1.000 1.000
## PROCESSO04 1.000 1.000 1.000
## RELACINTERSET0 1.000 1.000 1.000
## RELACINTERSET0 1.000 1.000 1.000
## RELACINTRASET0 1.000 1.000 1.000
## RELACINTRASET0 1.000 1.000 1.000
## RELACINTRASET0 1.000 1.000 1.000
## ASCC01 1.000 1.000 1.000
## ASCC02 1.000 1.000 1.000
## ASCC03 1.000 1.000 1.000
## ASCS01 1.000 1.000 1.000
## ASCS02 1.000 1.000 1.000
## ASCS03 1.000 1.000 1.000
##
## R-Square:
## Estimate
## AEC01 0.588
## AEC02 0.771
## AEC03 0.312
## AEC04 0.749
## ESCRECURSO01 0.611
## ESCRECURSO02 0.849
## ESCRECURSO03 0.581
## ESCRECURSO04 0.454
## RESINOV01 0.819
## RESINOV02 0.858
## RESINOV03 0.827
## DEPENRECEXT02 0.478
## EFETRELEXT01 0.845
## EFETRELEXT02 0.721
## EFETRELEXT03 0.687
## FORMALRELEXT01 0.591
## FORMALRELEXT02 0.561
## AUTONOMIAINOV0 0.325
## AUTONOMIAINOV0 0.684
## LIDERANCA02 0.639
## LIDERANCA03 0.794
## PROCESSO01 0.779
## PROCESSO02 0.580
## PROCESSO03 0.288
## PROCESSO04 0.515
## RELACINTERSET0 0.561
## RELACINTERSET0 0.238
## RELACINTRASET0 0.648
## RELACINTRASET0 0.661
## RELACINTRASET0 0.600
## ASCC01 0.558
## ASCC02 0.734
## ASCC03 0.627
## ASCS01 0.443
## ASCS02 0.695
## ASCS03 0.689
## FIIAUTONOMIAIN 0.741
## FtInILIDERANCA 0.815
## FtIntIPROCESSO 0.636
## FIIRELACINTERS 0.904
## FIIRELACINTRAS 0.779
##
## $FIT
## npar fmin
## 232.000 0.952
## chisq df
## 2049.231 562.000
## pvalue chisq.scaled
## 0.000 2287.946
## df.scaled pvalue.scaled
## 562.000 0.000
## chisq.scaling.factor baseline.chisq
## 1.012 164775.569
## baseline.df baseline.pvalue
## 630.000 0.000
## baseline.chisq.scaled baseline.df.scaled
## 46596.693 630.000
## baseline.pvalue.scaled baseline.chisq.scaling.factor
## 0.000 3.571
## cfi tli
## 0.991 0.990
## cfi.scaled tli.scaled
## 0.962 0.958
## cfi.robust tli.robust
## NA NA
## rmsea rmsea.ci.lower
## 0.050 0.047
## rmsea.ci.upper rmsea.pvalue
## 0.052 0.604
## rmsea.scaled rmsea.ci.lower.scaled
## 0.053 0.051
## rmsea.ci.upper.scaled rmsea.pvalue.scaled
## 0.056 0.006
## rmsea.robust rmsea.ci.lower.robust
## NA NA
## rmsea.ci.upper.robust rmsea.pvalue.robust
## NA NA
## srmr
## 0.049
##
## $PE
## lhs op rhs exo est
## 1 AEC =~ AEC01 0 1.00000000
## 2 AEC =~ AEC02 0 1.14478977
## 3 AEC =~ AEC03 0 0.72815797
## 4 AEC =~ AEC04 0 1.12834372
## 5 ESCRECURSO =~ ESCRECURSO01 0 1.00000000
## 6 ESCRECURSO =~ ESCRECURSO02 0 1.17855226
## 7 ESCRECURSO =~ ESCRECURSO03 0 0.97458896
## 8 ESCRECURSO =~ ESCRECURSO04 0 0.86207588
## 9 ESCRECURSO03 ~~ ESCRECURSO04 0 0.19151210
## 10 ResInov =~ RESINOV01 0 1.00000000
## 11 ResInov =~ RESINOV02 0 1.02348002
## 12 ResInov =~ RESINOV03 0 1.00475620
## 13 InovFatExt =~ DEPENRECEXT02 0 1.00000000
## 14 InovFatExt =~ EFETRELEXT01 0 1.32971351
## 15 InovFatExt =~ EFETRELEXT02 0 1.22804684
## 16 InovFatExt =~ EFETRELEXT03 0 1.19916092
## 17 InovFatExt =~ FORMALRELEXT01 0 1.11205267
## 18 InovFatExt =~ FORMALRELEXT02 0 1.08305576
## 19 DEPENRECEXT02 ~~ FORMALRELEXT01 0 0.25048664
## 20 FORMALRELEXT01 ~~ FORMALRELEXT02 0 0.12696328
## 21 DEPENRECEXT02 ~~ FORMALRELEXT02 0 0.10766220
## 22 FatIntInovAUTONOMIAINOV =~ AUTONOMIAINOV01 0 1.00000000
## 23 FatIntInovAUTONOMIAINOV =~ AUTONOMIAINOV02 0 1.45219996
## 24 FatIntInovLIDERANCA =~ LIDERANCA02 0 1.00000000
## 25 FatIntInovLIDERANCA =~ LIDERANCA03 0 1.11458640
## 26 FatIntInovPROCESSO =~ PROCESSO01 0 1.00000000
## 27 FatIntInovPROCESSO =~ PROCESSO02 0 0.86297571
## 28 FatIntInovPROCESSO =~ PROCESSO03 0 0.60804049
## 29 FatIntInovPROCESSO =~ PROCESSO04 0 0.81321747
## 30 FatIntInovRELACINTERSET =~ RELACINTERSET01 0 1.00000000
## 31 FatIntInovRELACINTERSET =~ RELACINTERSET02 0 0.65051869
## 32 FatIntInovRELACINTRASET =~ RELACINTRASET01 0 1.00000000
## 33 FatIntInovRELACINTRASET =~ RELACINTRASET02 0 1.01043367
## 34 FatIntInovRELACINTRASET =~ RELACINTRASET03 0 0.96229172
## 35 InovFatInt =~ FatIntInovAUTONOMIAINOV 0 1.00000000
## 36 InovFatInt =~ FatIntInovLIDERANCA 0 1.47142280
## 37 InovFatInt =~ FatIntInovPROCESSO 0 1.43555940
## 38 InovFatInt =~ FatIntInovRELACINTERSET 0 1.45301088
## 39 InovFatInt =~ FatIntInovRELACINTRASET 0 1.44835071
## 40 ASCC =~ ASCC01 0 1.00000000
## 41 ASCC =~ ASCC02 0 1.14703296
## 42 ASCC =~ ASCC03 0 1.06035088
## 43 ASCS =~ ASCS01 0 1.00000000
## 44 ASCS =~ ASCS02 0 1.25195436
## 45 ASCS =~ ASCS03 0 1.24679730
## 46 ASCS01 ~~ ASCS02 0 0.20128014
## 47 ASCC01 ~~ ASCC02 0 -0.06043745
## 48 ASCC ~~ ASCS 0 0.33697141
## 49 AEC ~~ ASCC 0 0.20141258
## 50 ESCRECURSO ~~ ASCC 0 -0.08832170
## 51 InovFatExt ~~ ASCC 0 0.20335257
## 52 InovFatInt ~~ ASCC 0 0.22030185
## 53 ResInov ~~ ASCC 0 0.33726937
## 54 AEC ~~ ASCS 0 0.12757899
## 55 ESCRECURSO ~~ ASCS 0 -0.11378153
## 56 InovFatExt ~~ ASCS 0 0.15468752
## 57 InovFatInt ~~ ASCS 0 0.22143617
## 58 ResInov ~~ ASCS 0 0.34954647
## 59 AEC ~~ ESCRECURSO 0 0.01220813
## 60 AEC ~~ InovFatExt 0 0.11298583
## 61 AEC ~~ InovFatInt 0 0.05919937
## 62 AEC ~~ ResInov 0 0.14444570
## 63 ESCRECURSO ~~ InovFatExt 0 0.03302692
## 64 ESCRECURSO ~~ InovFatInt 0 -0.08353120
## 65 ESCRECURSO ~~ ResInov 0 -0.17489344
## 66 InovFatExt ~~ InovFatInt 0 0.19742661
## 67 ResInov ~~ InovFatExt 0 0.33550669
## 68 ResInov ~~ InovFatInt 0 0.38072945
## 69 AEC01 | t1 0 -3.11192200
## 70 AEC01 | t2 0 -2.53788645
## 71 AEC01 | t3 0 -1.94276458
## 72 AEC01 | t4 0 -1.22337103
## 73 AEC01 | t5 0 -0.33707617
## 74 AEC01 | t6 0 0.64265791
## 75 AEC02 | t1 0 -3.11192200
## 76 AEC02 | t2 0 -2.77171356
## 77 AEC02 | t3 0 -2.19895614
## 78 AEC02 | t4 0 -1.71961824
## 79 AEC02 | t5 0 -0.72811572
## 80 AEC02 | t6 0 0.42477087
## 81 AEC03 | t1 0 -2.77171356
## 82 AEC03 | t2 0 -2.35370490
## 83 AEC03 | t3 0 -1.79602396
## 84 AEC03 | t4 0 -0.90017009
## 85 AEC03 | t5 0 -0.02795860
## 86 AEC03 | t6 0 0.80629226
## 87 AEC04 | t1 0 -2.90119100
## 88 AEC04 | t2 0 -2.67670781
## 89 AEC04 | t3 0 -2.08384003
## 90 AEC04 | t4 0 -1.45748912
## 91 AEC04 | t5 0 -0.48418753
## 92 AEC04 | t6 0 0.58085484
## 93 ESCRECURSO01 | t1 0 -1.07881738
## 94 ESCRECURSO01 | t2 0 -0.65415624
## 95 ESCRECURSO01 | t3 0 0.10502386
## 96 ESCRECURSO01 | t4 0 0.80952085
## 97 ESCRECURSO02 | t1 0 -0.96494474
## 98 ESCRECURSO02 | t2 0 -0.56985915
## 99 ESCRECURSO02 | t3 0 0.10736661
## 100 ESCRECURSO02 | t4 0 0.82907283
## 101 ESCRECURSO03 | t1 0 -1.03007675
## 102 ESCRECURSO03 | t2 0 -0.60585708
## 103 ESCRECURSO03 | t3 0 0.17325177
## 104 ESCRECURSO03 | t4 0 1.01436436
## 105 ESCRECURSO04 | t1 0 -1.07881738
## 106 ESCRECURSO04 | t2 0 -0.66574171
## 107 ESCRECURSO04 | t3 0 0.12143597
## 108 ESCRECURSO04 | t4 0 0.92489873
## 109 RESINOV01 | t1 0 -1.57506416
## 110 RESINOV01 | t2 0 -1.02218901
## 111 RESINOV01 | t3 0 -0.31251806
## 112 RESINOV01 | t4 0 0.76505647
## 113 RESINOV02 | t1 0 -1.33414563
## 114 RESINOV02 | t2 0 -0.83566085
## 115 RESINOV02 | t3 0 -0.25430944
## 116 RESINOV02 | t4 0 0.53727443
## 117 RESINOV03 | t1 0 -1.59137964
## 118 RESINOV03 | t2 0 -1.07051710
## 119 RESINOV03 | t3 0 -0.32231787
## 120 RESINOV03 | t4 0 0.59469912
## 121 DEPENRECEXT02 | t1 0 -1.35136067
## 122 DEPENRECEXT02 | t2 0 -0.99889849
## 123 DEPENRECEXT02 | t3 0 -0.33707617
## 124 DEPENRECEXT02 | t4 0 0.63979662
## 125 EFETRELEXT01 | t1 0 -1.64305407
## 126 EFETRELEXT01 | t2 0 -1.12586410
## 127 EFETRELEXT01 | t3 0 -0.27118942
## 128 EFETRELEXT01 | t4 0 0.61709097
## 129 EFETRELEXT02 | t1 0 -1.72992810
## 130 EFETRELEXT02 | t2 0 -1.23827696
## 131 EFETRELEXT02 | t3 0 -0.16143956
## 132 EFETRELEXT02 | t4 0 0.79027355
## 133 EFETRELEXT03 | t1 0 -1.76201410
## 134 EFETRELEXT03 | t2 0 -1.31178977
## 135 EFETRELEXT03 | t3 0 -0.33954296
## 136 EFETRELEXT03 | t4 0 0.77445510
## 137 FORMALRELEXT01 | t1 0 -1.59137964
## 138 FORMALRELEXT01 | t2 0 -1.18960738
## 139 FORMALRELEXT01 | t3 0 -0.36432761
## 140 FORMALRELEXT01 | t4 0 0.60306056
## 141 FORMALRELEXT02 | t1 0 -1.37495634
## 142 FORMALRELEXT02 | t2 0 -0.85901077
## 143 FORMALRELEXT02 | t3 0 0.03495082
## 144 FORMALRELEXT02 | t4 0 0.87598003
## 145 AUTONOMIAINOV01 | t1 0 -0.65415624
## 146 AUTONOMIAINOV01 | t2 0 -0.30762944
## 147 AUTONOMIAINOV01 | t3 0 0.21598905
## 148 AUTONOMIAINOV01 | t4 0 0.93206852
## 149 AUTONOMIAINOV02 | t1 0 -1.59137964
## 150 AUTONOMIAINOV02 | t2 0 -1.13913503
## 151 AUTONOMIAINOV02 | t3 0 -0.70105070
## 152 AUTONOMIAINOV02 | t4 0 0.13788087
## 153 LIDERANCA02 | t1 0 -1.38704675
## 154 LIDERANCA02 | t2 0 -0.91423230
## 155 LIDERANCA02 | t3 0 -0.26153457
## 156 LIDERANCA02 | t4 0 0.47895554
## 157 LIDERANCA03 | t1 0 -1.30630219
## 158 LIDERANCA03 | t2 0 -0.82579228
## 159 LIDERANCA03 | t3 0 -0.25671632
## 160 LIDERANCA03 | t4 0 0.60865834
## 161 PROCESSO01 | t1 0 -1.12586410
## 162 PROCESSO01 | t2 0 -0.47373663
## 163 PROCESSO01 | t3 0 0.38682636
## 164 PROCESSO01 | t4 0 1.25346322
## 165 PROCESSO02 | t1 0 -1.15714801
## 166 PROCESSO02 | t2 0 -0.49206049
## 167 PROCESSO02 | t3 0 0.16143956
## 168 PROCESSO02 | t4 0 0.96124056
## 169 PROCESSO03 | t1 0 -0.81925769
## 170 PROCESSO03 | t2 0 -0.23750163
## 171 PROCESSO03 | t3 0 0.40193435
## 172 PROCESSO03 | t4 0 1.13913503
## 173 PROCESSO04 | t1 0 -1.44414254
## 174 PROCESSO04 | t2 0 -0.69214291
## 175 PROCESSO04 | t3 0 0.12613097
## 176 PROCESSO04 | t4 0 1.02612490
## 177 RELACINTERSET01 | t1 0 -1.83224788
## 178 RELACINTERSET01 | t2 0 -1.38704675
## 179 RELACINTERSET01 | t3 0 -0.45040789
## 180 RELACINTERSET01 | t4 0 0.47634446
## 181 RELACINTERSET02 | t1 0 -1.06639449
## 182 RELACINTERSET02 | t2 0 -0.27360705
## 183 RELACINTERSET02 | t3 0 0.65415624
## 184 RELACINTERSET02 | t4 0 1.30085366
## 185 RELACINTRASET01 | t1 0 -1.21358284
## 186 RELACINTRASET01 | t2 0 -0.72205572
## 187 RELACINTRASET01 | t3 0 -0.08863998
## 188 RELACINTRASET01 | t4 0 0.69807529
## 189 RELACINTRASET02 | t1 0 -1.65210567
## 190 RELACINTRASET02 | t2 0 -1.24836912
## 191 RELACINTRASET02 | t3 0 -0.53727443
## 192 RELACINTRASET02 | t4 0 0.33954296
## 193 RELACINTRASET03 | t1 0 -1.39316873
## 194 RELACINTRASET03 | t2 0 -0.88628367
## 195 RELACINTRASET03 | t3 0 -0.03961322
## 196 RELACINTRASET03 | t4 0 0.85229200
## 197 ASCC01 | t1 0 -2.28513637
## 198 ASCC01 | t2 0 -1.91289042
## 199 ASCC01 | t3 0 -1.51366225
## 200 ASCC01 | t4 0 -0.76505647
## 201 ASCC01 | t5 0 -0.08630148
## 202 ASCC01 | t6 0 0.88283871
## 203 ASCC02 | t1 0 -2.12655290
## 204 ASCC02 | t2 0 -1.68010544
## 205 ASCC02 | t3 0 -1.27417266
## 206 ASCC02 | t4 0 -0.66865203
## 207 ASCC02 | t5 0 -0.01164816
## 208 ASCC02 | t6 0 0.85564656
## 209 ASCC03 | t1 0 -2.02613522
## 210 ASCC03 | t2 0 -1.58316922
## 211 ASCC03 | t3 0 -1.15260967
## 212 ASCC03 | t4 0 -0.37430362
## 213 ASCC03 | t5 0 0.30518790
## 214 ASCC03 | t6 0 1.10847208
## 215 ASCS01 | t1 0 -1.48499002
## 216 ASCS01 | t2 0 -1.16629691
## 217 ASCS01 | t3 0 -0.94655385
## 218 ASCS01 | t4 0 -0.23989853
## 219 ASCS01 | t5 0 0.21122237
## 220 ASCS01 | t6 0 0.86238474
## 221 ASCS02 | t1 0 -1.43756464
## 222 ASCS02 | t2 0 -1.09564491
## 223 ASCS02 | t3 0 -0.90017009
## 224 ASCS02 | t4 0 -0.27844713
## 225 ASCS02 | t5 0 0.22076064
## 226 ASCS02 | t6 0 0.83566085
## 227 ASCS03 | t1 0 -1.46426090
## 228 ASCS03 | t2 0 -1.14809495
## 229 ASCS03 | t3 0 -0.89668229
## 230 ASCS03 | t4 0 -0.17561706
## 231 ASCS03 | t5 0 0.33954296
## 232 ASCS03 | t6 0 1.05413402
## 233 AEC01 ~~ AEC01 0 0.41205090
## 234 AEC02 ~~ AEC02 0 0.22946705
## 235 AEC03 ~~ AEC03 0 0.68826114
## 236 AEC04 ~~ AEC04 0 0.25144698
## 237 ESCRECURSO01 ~~ ESCRECURSO01 0 0.38856676
## 238 ESCRECURSO02 ~~ ESCRECURSO02 0 0.15072814
## 239 ESCRECURSO03 ~~ ESCRECURSO03 0 0.41924625
## 240 ESCRECURSO04 ~~ ESCRECURSO04 0 0.54559821
## 241 RESINOV01 ~~ RESINOV01 0 0.18121885
## 242 RESINOV02 ~~ RESINOV02 0 0.14231745
## 243 RESINOV03 ~~ RESINOV03 0 0.17341175
## 244 DEPENRECEXT02 ~~ DEPENRECEXT02 0 0.52198069
## 245 EFETRELEXT01 ~~ EFETRELEXT01 0 0.15479588
## 246 EFETRELEXT02 ~~ EFETRELEXT02 0 0.27909953
## 247 EFETRELEXT03 ~~ EFETRELEXT03 0 0.31261448
## 248 FORMALRELEXT01 ~~ FORMALRELEXT01 0 0.40885209
## 249 FORMALRELEXT02 ~~ FORMALRELEXT02 0 0.43927866
## 250 AUTONOMIAINOV01 ~~ AUTONOMIAINOV01 0 0.67549343
## 251 AUTONOMIAINOV02 ~~ AUTONOMIAINOV02 0 0.31565306
## 252 LIDERANCA02 ~~ LIDERANCA02 0 0.36116928
## 253 LIDERANCA03 ~~ LIDERANCA03 0 0.20637878
## 254 PROCESSO01 ~~ PROCESSO01 0 0.22069818
## 255 PROCESSO02 ~~ PROCESSO02 0 0.41963283
## 256 PROCESSO03 ~~ PROCESSO03 0 0.71188180
## 257 PROCESSO04 ~~ PROCESSO04 0 0.48463005
## 258 RELACINTERSET01 ~~ RELACINTERSET01 0 0.43873716
## 259 RELACINTERSET02 ~~ RELACINTERSET02 0 0.76248784
## 260 RELACINTRASET01 ~~ RELACINTRASET01 0 0.35249149
## 261 RELACINTRASET02 ~~ RELACINTRASET02 0 0.33890922
## 262 RELACINTRASET03 ~~ RELACINTRASET03 0 0.40040365
## 263 ASCC01 ~~ ASCC01 0 0.44235956
## 264 ASCC02 ~~ ASCC02 0 0.26632105
## 265 ASCC03 ~~ ASCC03 0 0.37302032
## 266 ASCS01 ~~ ASCS01 0 0.55675531
## 267 ASCS02 ~~ ASCS02 0 0.30526283
## 268 ASCS03 ~~ ASCS03 0 0.31097458
## 269 AEC ~~ AEC 0 0.58794910
## 270 ESCRECURSO ~~ ESCRECURSO 0 0.61143324
## 271 ResInov ~~ ResInov 0 0.81878115
## 272 InovFatExt ~~ InovFatExt 0 0.47801931
## 273 FatIntInovAUTONOMIAINOV ~~ FatIntInovAUTONOMIAINOV 0 0.08409694
## 274 FatIntInovLIDERANCA ~~ FatIntInovLIDERANCA 0 0.11832342
## 275 FatIntInovPROCESSO ~~ FatIntInovPROCESSO 0 0.28385826
## 276 FatIntInovRELACINTERSET ~~ FatIntInovRELACINTERSET 0 0.05370027
## 277 FatIntInovRELACINTRASET ~~ FatIntInovRELACINTRASET 0 0.14319649
## 278 InovFatInt ~~ InovFatInt 0 0.24040963
## 279 ASCC ~~ ASCC 0 0.55764044
## 280 ASCS ~~ ASCS 0 0.44324469
## 281 AEC01 ~*~ AEC01 0 1.00000000
## 282 AEC02 ~*~ AEC02 0 1.00000000
## 283 AEC03 ~*~ AEC03 0 1.00000000
## 284 AEC04 ~*~ AEC04 0 1.00000000
## 285 ESCRECURSO01 ~*~ ESCRECURSO01 0 1.00000000
## 286 ESCRECURSO02 ~*~ ESCRECURSO02 0 1.00000000
## 287 ESCRECURSO03 ~*~ ESCRECURSO03 0 1.00000000
## 288 ESCRECURSO04 ~*~ ESCRECURSO04 0 1.00000000
## 289 RESINOV01 ~*~ RESINOV01 0 1.00000000
## 290 RESINOV02 ~*~ RESINOV02 0 1.00000000
## 291 RESINOV03 ~*~ RESINOV03 0 1.00000000
## 292 DEPENRECEXT02 ~*~ DEPENRECEXT02 0 1.00000000
## 293 EFETRELEXT01 ~*~ EFETRELEXT01 0 1.00000000
## 294 EFETRELEXT02 ~*~ EFETRELEXT02 0 1.00000000
## 295 EFETRELEXT03 ~*~ EFETRELEXT03 0 1.00000000
## 296 FORMALRELEXT01 ~*~ FORMALRELEXT01 0 1.00000000
## 297 FORMALRELEXT02 ~*~ FORMALRELEXT02 0 1.00000000
## 298 AUTONOMIAINOV01 ~*~ AUTONOMIAINOV01 0 1.00000000
## 299 AUTONOMIAINOV02 ~*~ AUTONOMIAINOV02 0 1.00000000
## 300 LIDERANCA02 ~*~ LIDERANCA02 0 1.00000000
## 301 LIDERANCA03 ~*~ LIDERANCA03 0 1.00000000
## 302 PROCESSO01 ~*~ PROCESSO01 0 1.00000000
## 303 PROCESSO02 ~*~ PROCESSO02 0 1.00000000
## 304 PROCESSO03 ~*~ PROCESSO03 0 1.00000000
## 305 PROCESSO04 ~*~ PROCESSO04 0 1.00000000
## 306 RELACINTERSET01 ~*~ RELACINTERSET01 0 1.00000000
## 307 RELACINTERSET02 ~*~ RELACINTERSET02 0 1.00000000
## 308 RELACINTRASET01 ~*~ RELACINTRASET01 0 1.00000000
## 309 RELACINTRASET02 ~*~ RELACINTRASET02 0 1.00000000
## 310 RELACINTRASET03 ~*~ RELACINTRASET03 0 1.00000000
## 311 ASCC01 ~*~ ASCC01 0 1.00000000
## 312 ASCC02 ~*~ ASCC02 0 1.00000000
## 313 ASCC03 ~*~ ASCC03 0 1.00000000
## 314 ASCS01 ~*~ ASCS01 0 1.00000000
## 315 ASCS02 ~*~ ASCS02 0 1.00000000
## 316 ASCS03 ~*~ ASCS03 0 1.00000000
## 317 AEC01 ~1 0 0.00000000
## 318 AEC02 ~1 0 0.00000000
## 319 AEC03 ~1 0 0.00000000
## 320 AEC04 ~1 0 0.00000000
## 321 ESCRECURSO01 ~1 0 0.00000000
## 322 ESCRECURSO02 ~1 0 0.00000000
## 323 ESCRECURSO03 ~1 0 0.00000000
## 324 ESCRECURSO04 ~1 0 0.00000000
## 325 RESINOV01 ~1 0 0.00000000
## 326 RESINOV02 ~1 0 0.00000000
## 327 RESINOV03 ~1 0 0.00000000
## 328 DEPENRECEXT02 ~1 0 0.00000000
## 329 EFETRELEXT01 ~1 0 0.00000000
## 330 EFETRELEXT02 ~1 0 0.00000000
## 331 EFETRELEXT03 ~1 0 0.00000000
## 332 FORMALRELEXT01 ~1 0 0.00000000
## 333 FORMALRELEXT02 ~1 0 0.00000000
## 334 AUTONOMIAINOV01 ~1 0 0.00000000
## 335 AUTONOMIAINOV02 ~1 0 0.00000000
## 336 LIDERANCA02 ~1 0 0.00000000
## 337 LIDERANCA03 ~1 0 0.00000000
## 338 PROCESSO01 ~1 0 0.00000000
## 339 PROCESSO02 ~1 0 0.00000000
## 340 PROCESSO03 ~1 0 0.00000000
## 341 PROCESSO04 ~1 0 0.00000000
## 342 RELACINTERSET01 ~1 0 0.00000000
## 343 RELACINTERSET02 ~1 0 0.00000000
## 344 RELACINTRASET01 ~1 0 0.00000000
## 345 RELACINTRASET02 ~1 0 0.00000000
## 346 RELACINTRASET03 ~1 0 0.00000000
## 347 ASCC01 ~1 0 0.00000000
## 348 ASCC02 ~1 0 0.00000000
## 349 ASCC03 ~1 0 0.00000000
## 350 ASCS01 ~1 0 0.00000000
## 351 ASCS02 ~1 0 0.00000000
## 352 ASCS03 ~1 0 0.00000000
## 353 AEC ~1 0 0.00000000
## 354 ESCRECURSO ~1 0 0.00000000
## 355 ResInov ~1 0 0.00000000
## 356 InovFatExt ~1 0 0.00000000
## 357 FatIntInovAUTONOMIAINOV ~1 0 0.00000000
## 358 FatIntInovLIDERANCA ~1 0 0.00000000
## 359 FatIntInovPROCESSO ~1 0 0.00000000
## 360 FatIntInovRELACINTERSET ~1 0 0.00000000
## 361 FatIntInovRELACINTRASET ~1 0 0.00000000
## 362 InovFatInt ~1 0 0.00000000
## 363 ASCC ~1 0 0.00000000
## 364 ASCS ~1 0 0.00000000
## 365 AEC01 r2 AEC01 0 0.58794910
## 366 AEC02 r2 AEC02 0 0.77053295
## 367 AEC03 r2 AEC03 0 0.31173886
## 368 AEC04 r2 AEC04 0 0.74855302
## 369 ESCRECURSO01 r2 ESCRECURSO01 0 0.61143324
## 370 ESCRECURSO02 r2 ESCRECURSO02 0 0.84927186
## 371 ESCRECURSO03 r2 ESCRECURSO03 0 0.58075375
## 372 ESCRECURSO04 r2 ESCRECURSO04 0 0.45440179
## 373 RESINOV01 r2 RESINOV01 0 0.81878115
## 374 RESINOV02 r2 RESINOV02 0 0.85768255
## 375 RESINOV03 r2 RESINOV03 0 0.82658825
## 376 DEPENRECEXT02 r2 DEPENRECEXT02 0 0.47801931
## 377 EFETRELEXT01 r2 EFETRELEXT01 0 0.84520412
## 378 EFETRELEXT02 r2 EFETRELEXT02 0 0.72090047
## 379 EFETRELEXT03 r2 EFETRELEXT03 0 0.68738552
## 380 FORMALRELEXT01 r2 FORMALRELEXT01 0 0.59114791
## 381 FORMALRELEXT02 r2 FORMALRELEXT02 0 0.56072134
## 382 AUTONOMIAINOV01 r2 AUTONOMIAINOV01 0 0.32450657
## 383 AUTONOMIAINOV02 r2 AUTONOMIAINOV02 0 0.68434694
## 384 LIDERANCA02 r2 LIDERANCA02 0 0.63883072
## 385 LIDERANCA03 r2 LIDERANCA03 0 0.79362122
## 386 PROCESSO01 r2 PROCESSO01 0 0.77930182
## 387 PROCESSO02 r2 PROCESSO02 0 0.58036717
## 388 PROCESSO03 r2 PROCESSO03 0 0.28811820
## 389 PROCESSO04 r2 PROCESSO04 0 0.51536995
## 390 RELACINTERSET01 r2 RELACINTERSET01 0 0.56126284
## 391 RELACINTERSET02 r2 RELACINTERSET02 0 0.23751216
## 392 RELACINTRASET01 r2 RELACINTRASET01 0 0.64750851
## 393 RELACINTRASET02 r2 RELACINTRASET02 0 0.66109078
## 394 RELACINTRASET03 r2 RELACINTRASET03 0 0.59959635
## 395 ASCC01 r2 ASCC01 0 0.55764044
## 396 ASCC02 r2 ASCC02 0 0.73367895
## 397 ASCC03 r2 ASCC03 0 0.62697968
## 398 ASCS01 r2 ASCS01 0 0.44324469
## 399 ASCS02 r2 ASCS02 0 0.69473717
## 400 ASCS03 r2 ASCS03 0 0.68902542
## 401 FatIntInovAUTONOMIAINOV r2 FatIntInovAUTONOMIAINOV 0 0.74084672
## 402 FatIntInovLIDERANCA r2 FatIntInovLIDERANCA 0 0.81478125
## 403 FatIntInovPROCESSO r2 FatIntInovPROCESSO 0 0.63575312
## 404 FatIntInovRELACINTERSET r2 FatIntInovRELACINTERSET 0 0.90432242
## 405 FatIntInovRELACINTRASET r2 FatIntInovRELACINTRASET 0 0.77885003
## se z pvalue std.lv std.all std.nox
## 1 0.00000000 NA NA 0.76677839 0.76677839 0.76677839
## 2 0.03309193 34.5942241 0.000000e+00 0.87780006 0.87780006 0.87780006
## 3 0.03743433 19.4516082 0.000000e+00 0.55833580 0.55833580 0.55833580
## 4 0.02983050 37.8251739 0.000000e+00 0.86518959 0.86518959 0.86518959
## 5 0.00000000 NA NA 0.78194197 0.78194197 0.78194197
## 6 0.03572651 32.9881719 0.000000e+00 0.92155947 0.92155947 0.92155947
## 7 0.02681152 36.3496334 0.000000e+00 0.76207201 0.76207201 0.76207201
## 8 0.02861803 30.1235223 0.000000e+00 0.67409331 0.67409331 0.67409331
## 9 0.01974449 9.6995226 0.000000e+00 0.19151210 0.40042867 0.40042867
## 10 0.00000000 NA NA 0.90486527 0.90486527 0.90486527
## 11 0.01293339 79.1347046 0.000000e+00 0.92611152 0.92611152 0.92611152
## 12 0.01284611 78.2148016 0.000000e+00 0.90916899 0.90916899 0.90916899
## 13 0.00000000 NA NA 0.69138941 0.69138941 0.69138941
## 14 0.04026563 33.0235350 0.000000e+00 0.91934983 0.91934983 0.91934983
## 15 0.03783239 32.4601930 0.000000e+00 0.84905858 0.84905858 0.84905858
## 16 0.03866836 31.0114222 0.000000e+00 0.82908716 0.82908716 0.82908716
## 17 0.02779672 40.0066175 0.000000e+00 0.76886144 0.76886144 0.76886144
## 18 0.03402696 31.8293467 0.000000e+00 0.74881328 0.74881328 0.74881328
## 19 0.02039562 12.2813909 0.000000e+00 0.25048664 0.54221839 0.54221839
## 20 0.01847128 6.8735506 6.262324e-12 0.12696328 0.29958839 0.29958839
## 21 0.01867445 5.7652153 8.155364e-09 0.10766220 0.22483606 0.22483606
## 22 0.00000000 NA NA 0.56965478 0.56965478 0.56965478
## 23 0.07815290 18.5815229 0.000000e+00 0.82725265 0.82725265 0.82725265
## 24 0.00000000 NA NA 0.79926886 0.79926886 0.79926886
## 25 0.02596183 42.9317374 0.000000e+00 0.89085421 0.89085421 0.89085421
## 26 0.00000000 NA NA 0.88278073 0.88278073 0.88278073
## 27 0.02555238 33.7728151 0.000000e+00 0.76181833 0.76181833 0.76181833
## 28 0.03078206 19.7530785 0.000000e+00 0.53676643 0.53676643 0.53676643
## 29 0.03039255 26.7571320 0.000000e+00 0.71789272 0.71789272 0.71789272
## 30 0.00000000 NA NA 0.74917477 0.74917477 0.74917477
## 31 0.03627080 17.9350540 0.000000e+00 0.48735219 0.48735219 0.48735219
## 32 0.00000000 NA NA 0.80467914 0.80467914 0.80467914
## 33 0.02777499 36.3792662 0.000000e+00 0.81307489 0.81307489 0.81307489
## 34 0.02670433 36.0350470 0.000000e+00 0.77433607 0.77433607 0.77433607
## 35 0.00000000 NA NA 0.86072453 0.86072453 0.86072453
## 36 0.08473724 17.3645350 0.000000e+00 0.90265234 0.90265234 0.90265234
## 37 0.08288820 17.3192251 0.000000e+00 0.79734128 0.79734128 0.79734128
## 38 0.08417758 17.2612572 0.000000e+00 0.95095868 0.95095868 0.95095868
## 39 0.07904857 18.3222888 0.000000e+00 0.88252481 0.88252481 0.88252481
## 40 0.00000000 NA NA 0.74675327 0.74675327 0.74675327
## 41 0.03884793 29.5262335 0.000000e+00 0.85655061 0.85655061 0.85655061
## 42 0.04300843 24.6544882 0.000000e+00 0.79182049 0.79182049 0.79182049
## 43 0.00000000 NA NA 0.66576624 0.66576624 0.66576624
## 44 0.04112338 30.4438596 0.000000e+00 0.83350895 0.83350895 0.83350895
## 45 0.05525564 22.5641652 0.000000e+00 0.83007555 0.83007555 0.83007555
## 46 0.02241474 8.9798125 0.000000e+00 0.20128014 0.48823822 0.48823822
## 47 0.02398602 -2.5196951 1.174565e-02 -0.06043745 -0.17608230 -0.17608230
## 48 0.02076789 16.2255998 0.000000e+00 0.67778843 0.67778843 0.67778843
## 49 0.01901605 10.5917135 0.000000e+00 0.35175445 0.35175445 0.35175445
## 50 0.02019879 -4.3726230 1.227626e-05 -0.15125710 -0.15125710 -0.15125710
## 51 0.01851427 10.9835616 0.000000e+00 0.39386721 0.39386721 0.39386721
## 52 0.01716791 12.8321872 0.000000e+00 0.60167931 0.60167931 0.60167931
## 53 0.02147071 15.7083449 0.000000e+00 0.49913250 0.49913250 0.49913250
## 54 0.01816643 7.0227881 2.174927e-12 0.24991225 0.24991225 0.24991225
## 55 0.01849790 -6.1510524 7.697047e-10 -0.21856242 -0.21856242 -0.21856242
## 56 0.01720333 8.9917196 0.000000e+00 0.33605534 0.33605534 0.33605534
## 57 0.01722569 12.8549958 0.000000e+00 0.67834536 0.67834536 0.67834536
## 58 0.02153182 16.2339508 0.000000e+00 0.58022873 0.58022873 0.58022873
## 59 0.02108753 0.5789263 5.626389e-01 0.02036126 0.02036126 0.02036126
## 60 0.01771976 6.3762635 1.814606e-10 0.21312352 0.21312352 0.21312352
## 61 0.01327379 4.4598694 8.200962e-06 0.15746039 0.15746039 0.15746039
## 62 0.02248002 6.4255158 1.314231e-10 0.20818567 0.20818567 0.20818567
## 63 0.01775607 1.8600356 6.288049e-02 0.06109010 0.06109010 0.06109010
## 64 0.01247104 -6.6980155 2.112688e-11 -0.21787041 -0.21787041 -0.21787041
## 65 0.02294895 -7.6209782 2.509104e-14 -0.24718099 -0.24718099 -0.24718099
## 66 0.01604961 12.3010259 0.000000e+00 0.58238078 0.58238078 0.58238078
## 67 0.02010457 16.6880790 0.000000e+00 0.53628363 0.53628363 0.53628363
## 68 0.02207333 17.2483925 0.000000e+00 0.85813699 0.85813699 0.85813699
## 69 0.29521896 -10.5410641 0.000000e+00 -3.11192200 -3.11192200 -3.11192200
## 70 0.14254683 -17.8038780 0.000000e+00 -2.53788645 -2.53788645 -2.53788645
## 71 0.08033769 -24.1824796 0.000000e+00 -1.94276458 -1.94276458 -1.94276458
## 72 0.05067496 -24.1415298 0.000000e+00 -1.22337103 -1.22337103 -1.22337103
## 73 0.03902544 -8.6373442 0.000000e+00 -0.33707617 -0.33707617 -0.33707617
## 74 0.04123754 15.5842918 0.000000e+00 0.64265791 0.64265791 0.64265791
## 75 0.29521896 -10.5410641 0.000000e+00 -3.11192200 -3.11192200 -3.11192200
## 76 0.18777814 -14.7605766 0.000000e+00 -2.77171356 -2.77171356 -2.77171356
## 77 0.10057089 -21.8647383 0.000000e+00 -2.19895614 -2.19895614 -2.19895614
## 78 0.06784131 -25.3476572 0.000000e+00 -1.71961824 -1.71961824 -1.71961824
## 79 0.04214620 -17.2759520 0.000000e+00 -0.72811572 -0.72811572 -0.72811572
## 80 0.03950572 10.7521355 0.000000e+00 0.42477087 0.42477087 0.42477087
## 81 0.18777814 -14.7605766 0.000000e+00 -2.77171356 -2.77171356 -2.77171356
## 82 0.11706629 -20.1057449 0.000000e+00 -2.35370490 -2.35370490 -2.35370490
## 83 0.07168816 -25.0532868 0.000000e+00 -1.79602396 -1.79602396 -1.79602396
## 84 0.04442312 -20.2635504 0.000000e+00 -0.90017009 -0.90017009 -0.90017009
## 85 0.03823115 -0.7313043 4.645933e-01 -0.02795860 -0.02795860 -0.02795860
## 86 0.04310286 18.7062353 0.000000e+00 0.80629226 0.80629226 0.80629226
## 87 0.22146198 -13.1001762 0.000000e+00 -2.90119100 -2.90119100 -2.90119100
## 88 0.16730530 -15.9989418 0.000000e+00 -2.67670781 -2.67670781 -2.67670781
## 89 0.09054370 -23.0147437 0.000000e+00 -2.08384003 -2.08384003 -2.08384003
## 90 0.05734114 -25.4178589 0.000000e+00 -1.45748912 -1.45748912 -1.45748912
## 91 0.03989950 -12.1351784 0.000000e+00 -0.48418753 -0.48418753 -0.48418753
## 92 0.04066410 14.2842162 0.000000e+00 0.58085484 0.58085484 0.58085484
## 93 0.04751808 -22.7033012 0.000000e+00 -1.07881738 -1.07881738 -1.07881738
## 94 0.04135183 -15.8192828 0.000000e+00 -0.65415624 -0.65415624 -0.65415624
## 95 0.03830243 2.7419635 6.107313e-03 0.10502386 0.10502386 0.10502386
## 96 0.04314508 18.7627620 0.000000e+00 0.80952085 0.80952085 0.80952085
## 97 0.04545205 -21.2299501 0.000000e+00 -0.96494474 -0.96494474 -0.96494474
## 98 0.04056914 -14.0466171 0.000000e+00 -0.56985915 -0.56985915 -0.56985915
## 99 0.03830589 2.8028745 5.064937e-03 0.10736661 0.10736661 0.10736661
## 100 0.04340548 19.1006468 0.000000e+00 0.82907283 0.82907283 0.82907283
## 101 0.04659169 -22.1085939 0.000000e+00 -1.03007675 -1.03007675 -1.03007675
## 102 0.04088790 -14.8175154 0.000000e+00 -0.60585708 -0.60585708 -0.60585708
## 103 0.03843493 4.5076649 6.554499e-06 0.17325177 0.17325177 0.17325177
## 104 0.04630672 21.9053383 0.000000e+00 1.01436436 1.01436436 1.01436436
## 105 0.04751808 -22.7033012 0.000000e+00 -1.07881738 -1.07881738 -1.07881738
## 106 0.04146944 -16.0537905 0.000000e+00 -0.66574171 -0.66574171 -0.66574171
## 107 0.03832832 3.1683094 1.533283e-03 0.12143597 0.12143597 0.12143597
## 108 0.04480409 20.6431755 0.000000e+00 0.92489873 0.92489873 0.92489873
## 109 0.06158756 -25.5743871 0.000000e+00 -1.57506416 -1.57506416 -1.57506416
## 110 0.04644782 -22.0072561 0.000000e+00 -1.02218901 -1.02218901 -1.02218901
## 111 0.03891187 -8.0314329 8.881784e-16 -0.31251806 -0.31251806 -0.31251806
## 112 0.04258277 17.9663405 0.000000e+00 0.76505647 0.76505647 0.76505647
## 113 0.05356313 -24.9079102 0.000000e+00 -1.33414563 -1.33414563 -1.33414563
## 114 0.04349508 -19.2127685 0.000000e+00 -0.83566085 -0.83566085 -0.83566085
## 115 0.03867831 -6.5749876 4.865730e-11 -0.25430944 -0.25430944 -0.25430944
## 116 0.04029992 13.3318994 0.000000e+00 0.53727443 0.53727443 0.53727443
## 117 0.06223274 -25.5714205 0.000000e+00 -1.59137964 -1.59137964 -1.59137964
## 118 0.04735570 -22.6058783 0.000000e+00 -1.07051710 -1.07051710 -1.07051710
## 119 0.03895611 -8.2738723 2.220446e-16 -0.32231787 -0.32231787 -0.32231787
## 120 0.04078667 14.5807240 0.000000e+00 0.59469912 0.59469912 0.59469912
## 121 0.05405287 -25.0007209 0.000000e+00 -1.35136067 -1.35136067 -1.35136067
## 122 0.04603254 -21.6998362 0.000000e+00 -0.99889849 -0.99889849 -0.99889849
## 123 0.03902544 -8.6373442 0.000000e+00 -0.33707617 -0.33707617 -0.33707617
## 124 0.04120948 15.5254714 0.000000e+00 0.63979662 0.63979662 0.63979662
## 125 0.06437426 -25.5234639 0.000000e+00 -1.64305407 -1.64305407 -1.64305407
## 126 0.04847577 -23.2252970 0.000000e+00 -1.12586410 -1.12586410 -1.12586410
## 127 0.03874093 -7.0000754 2.558176e-12 -0.27118942 -0.27118942 -0.27118942
## 128 0.04099205 15.0539175 0.000000e+00 0.61709097 0.61709097 0.61709097
## 129 0.06833685 -25.3147170 0.000000e+00 -1.72992810 -1.72992810 -1.72992810
## 130 0.05103832 -24.2617100 0.000000e+00 -1.23827696 -1.23827696 -1.23827696
## 131 0.03840729 -4.2033574 2.629849e-05 -0.16143956 -0.16143956 -0.16143956
## 132 0.04289664 18.4227394 0.000000e+00 0.79027355 0.79027355 0.79027355
## 133 0.06992525 -25.1985391 0.000000e+00 -1.76201410 -1.76201410 -1.76201410
## 134 0.05294419 -24.7768404 0.000000e+00 -1.31178977 -1.31178977 -1.31178977
## 135 0.03903735 -8.6979000 0.000000e+00 -0.33954296 -0.33954296 -0.33954296
## 136 0.04269822 18.1378767 0.000000e+00 0.77445510 0.77445510 0.77445510
## 137 0.06223274 -25.5714205 0.000000e+00 -1.59137964 -1.59137964 -1.59137964
## 138 0.04987924 -23.8497490 0.000000e+00 -1.18960738 -1.18960738 -1.18960738
## 139 0.03916208 -9.3030706 0.000000e+00 -0.36432761 -0.36432761 -0.36432761
## 140 0.04086232 14.7583533 0.000000e+00 0.60306056 0.60306056 0.60306056
## 141 0.05474320 -25.1164777 0.000000e+00 -1.37495634 -1.37495634 -1.37495634
## 142 0.04382025 -19.6030544 0.000000e+00 -0.85901077 -0.85901077 -0.85901077
## 143 0.03823421 0.9141243 3.606516e-01 0.03495082 0.03495082 0.03495082
## 144 0.04406415 19.8796522 0.000000e+00 0.87598003 0.87598003 0.87598003
## 145 0.04135183 -15.8192828 0.000000e+00 -0.65415624 -0.65415624 -0.65415624
## 146 0.03889033 -7.9101777 2.664535e-15 -0.30762944 -0.30762944 -0.30762944
## 147 0.03855150 5.6026102 2.111477e-08 0.21598905 0.21598905 0.21598905
## 148 0.04491725 20.7507910 0.000000e+00 0.93206852 0.93206852 0.93206852
## 149 0.06223274 -25.5714205 0.000000e+00 -1.59137964 -1.59137964 -1.59137964
## 150 0.04875767 -23.3631944 0.000000e+00 -1.13913503 -1.13913503 -1.13913503
## 151 0.04184340 -16.7541514 0.000000e+00 -0.70105070 -0.70105070 -0.70105070
## 152 0.03835805 3.5945741 3.249227e-04 0.13788087 0.13788087 0.13788087
## 153 0.05510567 -25.1706713 0.000000e+00 -1.38704675 -1.38704675 -1.38704675
## 154 0.04463800 -20.4810310 0.000000e+00 -0.91423230 -0.91423230 -0.91423230
## 155 0.03870461 -6.7571947 1.406897e-11 -0.26153457 -0.26153457 -0.26153457
## 156 0.03986255 12.0151769 0.000000e+00 0.47895554 0.47895554 0.47895554
## 157 0.05279515 -24.7428443 0.000000e+00 -1.30630219 -1.30630219 -1.30630219
## 158 0.04336122 -19.0444888 0.000000e+00 -0.82579228 -0.82579228 -0.82579228
## 159 0.03868699 -6.6357277 3.229061e-11 -0.25671632 -0.25671632 -0.25671632
## 160 0.04091366 14.8766532 0.000000e+00 0.60865834 0.60865834 0.60865834
## 161 0.04847577 -23.2252970 0.000000e+00 -1.12586410 -1.12586410 -1.12586410
## 162 0.03982613 -11.8951213 0.000000e+00 -0.47373663 -0.47373663 -0.47373663
## 163 0.03928340 9.8470682 0.000000e+00 0.38682636 0.38682636 0.38682636
## 164 0.05141633 24.3787008 0.000000e+00 1.25346322 1.25346322 1.25346322
## 165 0.04914886 -23.5437427 0.000000e+00 -1.15714801 -1.15714801 -1.15714801
## 166 0.03995594 -12.3150762 0.000000e+00 -0.49206049 -0.49206049 -0.49206049
## 167 0.03840729 4.2033574 2.629849e-05 0.16143956 0.16143956 0.16143956
## 168 0.04539047 21.1771446 0.000000e+00 0.96124056 0.96124056 0.96124056
## 169 0.04327374 -18.9319828 0.000000e+00 -0.81925769 -0.81925769 -0.81925769
## 170 0.03862008 -6.1496922 7.763346e-10 -0.23750163 -0.23750163 -0.23750163
## 171 0.03936924 10.2093497 0.000000e+00 0.40193435 0.40193435 0.40193435
## 172 0.04875767 23.3631944 0.000000e+00 1.13913503 1.13913503 1.13913503
## 173 0.05690088 -25.3799665 0.000000e+00 -1.44414254 -1.44414254 -1.44414254
## 174 0.04174683 -16.5795313 0.000000e+00 -0.69214291 -0.69214291 -0.69214291
## 175 0.03833642 3.2901081 1.001489e-03 0.12613097 0.12613097 0.12613097
## 176 0.04651940 22.0579987 0.000000e+00 1.02612490 1.02612490 1.02612490
## 177 0.07366028 -24.8742996 0.000000e+00 -1.83224788 -1.83224788 -1.83224788
## 178 0.05510567 -25.1706713 0.000000e+00 -1.38704675 -1.38704675 -1.38704675
## 179 0.03966871 -11.3542363 0.000000e+00 -0.45040789 -0.45040789 -0.45040789
## 180 0.03984427 11.9551558 0.000000e+00 0.47634446 0.47634446 0.47634446
## 181 0.04727576 -22.5568995 0.000000e+00 -1.06639449 -1.06639449 -1.06639449
## 182 0.03875024 -7.0607841 1.655565e-12 -0.27360705 -0.27360705 -0.27360705
## 183 0.04135183 15.8192828 0.000000e+00 0.65415624 0.65415624 0.65415624
## 184 0.05264828 24.7083789 0.000000e+00 1.30085366 1.30085366 1.30085366
## 185 0.05044041 -24.0597324 0.000000e+00 -1.21358284 -1.21358284 -1.21358284
## 186 0.04207716 -17.1602752 0.000000e+00 -0.72205572 -0.72205572 -0.72205572
## 187 0.03828034 -2.3155484 2.058294e-02 -0.08863998 -0.08863998 -0.08863998
## 188 0.04181098 16.6959812 0.000000e+00 0.69807529 0.69807529 0.69807529
## 189 0.06476530 -25.5091166 0.000000e+00 -1.65210567 -1.65210567 -1.65210567
## 190 0.05128864 -24.3400707 0.000000e+00 -1.24836912 -1.24836912 -1.24836912
## 191 0.04029992 -13.3318994 0.000000e+00 -0.53727443 -0.53727443 -0.53727443
## 192 0.03903735 8.6979000 0.000000e+00 0.33954296 0.33954296 0.33954296
## 193 0.05529151 -25.1967919 0.000000e+00 -1.39316873 -1.39316873 -1.39316873
## 194 0.04421542 -20.0446756 0.000000e+00 -0.88628367 -0.88628367 -0.88628367
## 195 0.03823662 -1.0360021 3.002012e-01 -0.03961322 -0.03961322 -0.03961322
## 196 0.04372546 19.4918951 0.000000e+00 0.85229200 0.85229200 0.85229200
## 197 0.10928104 -20.9106397 0.000000e+00 -2.28513637 -2.28513637 -2.28513637
## 198 0.07842855 -24.3902311 0.000000e+00 -1.91289042 -1.91289042 -1.91289042
## 199 0.05928481 -25.5320423 0.000000e+00 -1.51366225 -1.51366225 -1.51366225
## 200 0.04258277 -17.9663405 0.000000e+00 -0.76505647 -0.76505647 -0.76505647
## 201 0.03827750 -2.2546270 2.415675e-02 -0.08630148 -0.08630148 -0.08630148
## 202 0.04416457 19.9897484 0.000000e+00 0.88283871 0.88283871 0.88283871
## 203 0.09406795 -22.6065611 0.000000e+00 -2.12655290 -2.12655290 -2.12655290
## 204 0.06600630 -25.4537116 0.000000e+00 -1.68010544 -1.68010544 -1.68010544
## 205 0.05194478 -24.5293676 0.000000e+00 -1.27417266 -1.27417266 -1.27417266
## 206 0.04149938 -16.1123390 0.000000e+00 -0.66865203 -0.66865203 -0.66865203
## 207 0.03822667 -0.3047131 7.605847e-01 -0.01164816 -0.01164816 -0.01164816
## 208 0.04377266 19.5475108 0.000000e+00 0.85564656 0.85564656 0.85564656
## 209 0.08611714 -23.5276656 0.000000e+00 -2.02613522 -2.02613522 -2.02613522
## 210 0.06190626 -25.5736515 0.000000e+00 -1.58316922 -1.58316922 -1.58316922
## 211 0.04904936 -23.4989741 0.000000e+00 -1.15260967 -1.15260967 -1.15260967
## 212 0.03921492 -9.5449286 0.000000e+00 -0.37430362 -0.37430362 -0.37430362
## 213 0.03887971 7.8495415 4.218847e-15 0.30518790 0.30518790 0.30518790
## 214 0.04811425 23.0383336 0.000000e+00 1.10847208 1.10847208 1.10847208
## 215 0.05827405 -25.4828675 0.000000e+00 -1.48499002 -1.48499002 -1.48499002
## 216 0.04935137 -23.6325148 0.000000e+00 -1.16629691 -1.16629691 -1.16629691
## 217 0.04514964 -20.9648147 0.000000e+00 -0.94655385 -0.94655385 -0.94655385
## 218 0.03862814 -6.2104606 5.282950e-10 -0.23989853 -0.23989853 -0.23989853
## 219 0.03853721 5.4809981 4.229329e-08 0.21122237 0.21122237 0.21122237
## 220 0.04386823 19.6585247 0.000000e+00 0.86238474 0.86238474 0.86238474
## 221 0.05668684 -25.3597595 0.000000e+00 -1.43756464 -1.43756464 -1.43756464
## 222 0.04785328 -22.8959212 0.000000e+00 -1.09564491 -1.09564491 -1.09564491
## 223 0.04442312 -20.2635504 0.000000e+00 -0.90017009 -0.90017009 -0.90017009
## 224 0.03876913 -7.1821871 6.861178e-13 -0.27844713 -0.27844713 -0.27844713
## 225 0.03856614 5.7242088 1.039169e-08 0.22076064 0.22076064 0.22076064
## 226 0.04349508 19.2127685 0.000000e+00 0.83566085 0.83566085 0.83566085
## 227 0.05756762 -25.4354965 0.000000e+00 -1.46426090 -1.46426090 -1.46426090
## 228 0.04895101 -23.4539568 0.000000e+00 -1.14809495 -1.14809495 -1.14809495
## 229 0.04437053 -20.2089592 0.000000e+00 -0.89668229 -0.89668229 -0.89668229
## 230 0.03844070 -4.5685190 4.911826e-06 -0.17561706 -0.17561706 -0.17561706
## 231 0.03903735 8.6979000 0.000000e+00 0.33954296 0.33954296 0.33954296
## 232 0.04704080 22.4089301 0.000000e+00 1.05413402 1.05413402 1.05413402
## 233 0.00000000 NA NA 0.41205090 0.41205090 0.41205090
## 234 0.00000000 NA NA 0.22946705 0.22946705 0.22946705
## 235 0.00000000 NA NA 0.68826114 0.68826114 0.68826114
## 236 0.00000000 NA NA 0.25144698 0.25144698 0.25144698
## 237 0.00000000 NA NA 0.38856676 0.38856676 0.38856676
## 238 0.00000000 NA NA 0.15072814 0.15072814 0.15072814
## 239 0.00000000 NA NA 0.41924625 0.41924625 0.41924625
## 240 0.00000000 NA NA 0.54559821 0.54559821 0.54559821
## 241 0.00000000 NA NA 0.18121885 0.18121885 0.18121885
## 242 0.00000000 NA NA 0.14231745 0.14231745 0.14231745
## 243 0.00000000 NA NA 0.17341175 0.17341175 0.17341175
## 244 0.00000000 NA NA 0.52198069 0.52198069 0.52198069
## 245 0.00000000 NA NA 0.15479588 0.15479588 0.15479588
## 246 0.00000000 NA NA 0.27909953 0.27909953 0.27909953
## 247 0.00000000 NA NA 0.31261448 0.31261448 0.31261448
## 248 0.00000000 NA NA 0.40885209 0.40885209 0.40885209
## 249 0.00000000 NA NA 0.43927866 0.43927866 0.43927866
## 250 0.00000000 NA NA 0.67549343 0.67549343 0.67549343
## 251 0.00000000 NA NA 0.31565306 0.31565306 0.31565306
## 252 0.00000000 NA NA 0.36116928 0.36116928 0.36116928
## 253 0.00000000 NA NA 0.20637878 0.20637878 0.20637878
## 254 0.00000000 NA NA 0.22069818 0.22069818 0.22069818
## 255 0.00000000 NA NA 0.41963283 0.41963283 0.41963283
## 256 0.00000000 NA NA 0.71188180 0.71188180 0.71188180
## 257 0.00000000 NA NA 0.48463005 0.48463005 0.48463005
## 258 0.00000000 NA NA 0.43873716 0.43873716 0.43873716
## 259 0.00000000 NA NA 0.76248784 0.76248784 0.76248784
## 260 0.00000000 NA NA 0.35249149 0.35249149 0.35249149
## 261 0.00000000 NA NA 0.33890922 0.33890922 0.33890922
## 262 0.00000000 NA NA 0.40040365 0.40040365 0.40040365
## 263 0.00000000 NA NA 0.44235956 0.44235956 0.44235956
## 264 0.00000000 NA NA 0.26632105 0.26632105 0.26632105
## 265 0.00000000 NA NA 0.37302032 0.37302032 0.37302032
## 266 0.00000000 NA NA 0.55675531 0.55675531 0.55675531
## 267 0.00000000 NA NA 0.30526283 0.30526283 0.30526283
## 268 0.00000000 NA NA 0.31097458 0.31097458 0.31097458
## 269 0.02673667 21.9903605 0.000000e+00 1.00000000 1.00000000 1.00000000
## 270 0.02512634 24.3343564 0.000000e+00 1.00000000 1.00000000 1.00000000
## 271 0.01546054 52.9594061 0.000000e+00 1.00000000 1.00000000 1.00000000
## 272 0.02762452 17.3041650 0.000000e+00 1.00000000 1.00000000 1.00000000
## 273 0.01597790 5.2633281 1.414707e-07 0.25915328 0.25915328 0.25915328
## 274 0.01469801 8.0503050 8.881784e-16 0.18521875 0.18521875 0.18521875
## 275 0.02273139 12.4874995 0.000000e+00 0.36424688 0.36424688 0.36424688
## 276 0.03733833 1.4382076 1.503752e-01 0.09567758 0.09567758 0.09567758
## 277 0.01685877 8.4938881 0.000000e+00 0.22114997 0.22114997 0.22114997
## 278 0.02569317 9.3569484 0.000000e+00 1.00000000 1.00000000 1.00000000
## 279 0.03431543 16.2504283 0.000000e+00 1.00000000 1.00000000 1.00000000
## 280 0.03164794 14.0054819 0.000000e+00 1.00000000 1.00000000 1.00000000
## 281 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 282 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 283 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 284 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 285 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 286 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 287 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 288 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 289 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 290 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 291 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 292 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 293 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 294 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 295 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 296 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 297 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 298 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 299 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 300 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 301 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 302 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 303 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 304 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 305 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 306 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 307 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 308 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 309 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 310 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 311 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 312 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 313 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 314 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 315 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 316 0.00000000 NA NA 1.00000000 1.00000000 1.00000000
## 317 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 318 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 319 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 320 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 321 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 322 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 323 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 324 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 325 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 326 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 327 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 328 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 329 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 330 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 331 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 332 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 333 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 334 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 335 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 336 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 337 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 338 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 339 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 340 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 341 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 342 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 343 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 344 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 345 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 346 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 347 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 348 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 349 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 350 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 351 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 352 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 353 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 354 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 355 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 356 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 357 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 358 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 359 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 360 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 361 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 362 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 363 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 364 0.00000000 NA NA 0.00000000 0.00000000 0.00000000
## 365 NA NA NA NA NA NA
## 366 NA NA NA NA NA NA
## 367 NA NA NA NA NA NA
## 368 NA NA NA NA NA NA
## 369 NA NA NA NA NA NA
## 370 NA NA NA NA NA NA
## 371 NA NA NA NA NA NA
## 372 NA NA NA NA NA NA
## 373 NA NA NA NA NA NA
## 374 NA NA NA NA NA NA
## 375 NA NA NA NA NA NA
## 376 NA NA NA NA NA NA
## 377 NA NA NA NA NA NA
## 378 NA NA NA NA NA NA
## 379 NA NA NA NA NA NA
## 380 NA NA NA NA NA NA
## 381 NA NA NA NA NA NA
## 382 NA NA NA NA NA NA
## 383 NA NA NA NA NA NA
## 384 NA NA NA NA NA NA
## 385 NA NA NA NA NA NA
## 386 NA NA NA NA NA NA
## 387 NA NA NA NA NA NA
## 388 NA NA NA NA NA NA
## 389 NA NA NA NA NA NA
## 390 NA NA NA NA NA NA
## 391 NA NA NA NA NA NA
## 392 NA NA NA NA NA NA
## 393 NA NA NA NA NA NA
## 394 NA NA NA NA NA NA
## 395 NA NA NA NA NA NA
## 396 NA NA NA NA NA NA
## 397 NA NA NA NA NA NA
## 398 NA NA NA NA NA NA
## 399 NA NA NA NA NA NA
## 400 NA NA NA NA NA NA
## 401 NA NA NA NA NA NA
## 402 NA NA NA NA NA NA
## 403 NA NA NA NA NA NA
## 404 NA NA NA NA NA NA
## 405 NA NA NA NA NA NA## For constructs with categorical indicators, Zumbo et al.`s (2007) "ordinal alpha" is calculated in addition to the standard alpha, which treats ordinal variables as numeric. See Chalmers (2018) for a critique of "alpha.ord" and the response by Zumbo & Kroc (2019). Likewise, average variance extracted is calculated from polychoric (polyserial) not Pearson correlations.## AEC ESCRECURSO ResInov InovFatExt FatIntInovAUTONOMIAINOV
## alpha 0.7985733 0.8476707 0.9079885 0.9007613 0.5402514
## alpha.ord 0.8433465 0.8751861 0.9379898 0.9237588 0.6406105
## omega 0.8078873 0.8180362 0.9112592 0.8534417 0.5745590
## omega2 0.8078873 0.8180362 0.9112592 0.8534417 0.5745590
## omega3 0.8166632 0.8249982 0.9111591 0.8568419 0.5745590
## avevar 0.6046935 0.6239652 0.8343507 0.6472298 0.5044268
## FatIntInovLIDERANCA FatIntInovPROCESSO FatIntInovRELACINTERSET
## alpha 0.7864954 0.7782769 0.4767940
## alpha.ord 0.8317978 0.8093619 0.5349178
## omega 0.7930667 0.7871659 0.4999431
## omega2 0.7930667 0.7871659 0.4999431
## omega3 0.7930665 0.7872652 0.4999434
## avevar 0.7162260 0.5407893 0.3993875
## FatIntInovRELACINTRASET ASCC ASCS
## alpha 0.7819115 0.8067341 0.8462372
## alpha.ord 0.8295776 0.8273414 0.8565625
## omega 0.8031502 0.8323474 0.7490300
## omega2 0.8031502 0.8323474 0.7490300
## omega3 0.8180889 0.8331023 0.7497965
## avevar 0.6360652 0.6394330 0.6090024
## lhs op rhs mi epc sepc.lv sepc.all
## 410 ESCRECURSO =~ AUTONOMIAINOV01 170.327 0.338 0.264 0.264
## 496 FatIntInovAUTONOMIAINOV =~ ESCRECURSO01 149.504 0.296 0.168 0.168
## 566 FatIntInovPROCESSO =~ ESCRECURSO03 147.007 -0.185 -0.163 -0.163
## 532 FatIntInovLIDERANCA =~ ESCRECURSO03 142.199 -0.191 -0.152 -0.152
## 473 InovFatExt =~ AUTONOMIAINOV01 137.506 0.395 0.273 0.273
## 596 FatIntInovRELACINTERSET =~ ESCRECURSO01 137.039 0.199 0.149 0.149
## 665 InovFatInt =~ ESCRECURSO03 136.989 -0.285 -0.140 -0.140
## 663 InovFatInt =~ ESCRECURSO01 136.261 0.291 0.143 0.143
## 598 FatIntInovRELACINTERSET =~ ESCRECURSO03 135.685 -0.193 -0.145 -0.145
## 435 ResInov =~ ESCRECURSO03 134.847 -0.166 -0.150 -0.150
## sepc.nox
## 410 0.264
## 496 0.168
## 566 -0.163
## 532 -0.152
## 473 0.273
## 596 0.149
## 665 -0.140
## 663 0.143
## 598 -0.145
## 435 -0.150
## resultadoMeasureModel#reliabilityL2(resultadoMeasureModel[[2]],c("INOVACAOG"))
reliabilityL2(resultadoMeasureModel[[2]],c("InovFatInt"))## omegaL1 omegaL2 partialOmegaL1
## 0.8609595 0.9422360 0.9241737fit<-resultadoMeasureModel[[2]]
#x<-lavaan::lavPredict(resultadoMeasureModel[[2]],append.data =T,assemble = T,method="EBM",type="lv", newdata=dta)
#x<-as.data.frame(x)
#write.csv(x,"ModeloMedidaGeralInovLevel1simple.csv")#fit<-lavaan::sem(model=modelo,data=banco_geral,estimator="ML",ordered=F,orthogonal=T,se="bootstrap", test="yuan.bentler.mplus",verbose=F)semPlot::semPaths(fit,what = "path",exoVar = FALSE,residuals = F,intercepts = F, thresholds = F, exoCov = F,structural = T,whatLabels = "std",layout = "tree3",curvature = 0,reorder=T,rotation=2)
```