Rozkłady
Korelacje i alfa
## [1] "1 Samodzielnie poradzić sobie z problemami"
## [2] "2 Powrócić do dobrego funkcjonowania psychologicznego i społecznego"
## [3] "3 Przezwyciężyć trudności emocjonalne, jakie aktualnie przeżywa"
## [4] "4 Wpłynąć na zmniejszenie swoich objawów"
## [5] "5 Zmniejszyć przeżywany aktualnie dyskomfort"
## [6] "6 Pokonać kryzys, z jakim się boryka"
## value
## All Items 0.9327031
## Excluding inc_h1_1 0.9303269
## Excluding inc_h1_2 0.9242319
## Excluding inc_h1_3 0.9127218
## Excluding inc_h1_4 0.9242337
## Excluding inc_h1_5 0.9136131
## Excluding inc_h1_6 0.9154739
## value
## All Items 0.9510864
## Excluding inc_h2_1 0.9590602
## Excluding inc_h2_2 0.9358121
## Excluding inc_h2_3 0.9429976
## Excluding inc_h2_4 0.9377140
## Excluding inc_h2_5 0.9370906
## Excluding inc_h2_6 0.9362725
Analiza czynnikowa
## Factor Analysis using method = minres
## Call: fa(r = wew[, c(1, 3, 5, 7, 9, 11)], nfactors = 1)
## Standardized loadings (pattern matrix) based upon correlation matrix
## MR1 h2 u2 com
## inc_h1_1 0.76 0.58 0.42 1
## inc_h1_2 0.80 0.65 0.35 1
## inc_h1_3 0.89 0.80 0.20 1
## inc_h1_4 0.82 0.67 0.33 1
## inc_h1_5 0.87 0.76 0.24 1
## inc_h1_6 0.87 0.76 0.24 1
##
## MR1
## SS loadings 4.22
## Proportion Var 0.70
##
## Mean item complexity = 1
## Test of the hypothesis that 1 factor is sufficient.
##
## The degrees of freedom for the null model are 15 and the objective function was 5.11 with Chi Square of 353.63
## The degrees of freedom for the model are 9 and the objective function was 0.42
##
## The root mean square of the residuals (RMSR) is 0.05
## The df corrected root mean square of the residuals is 0.07
##
## The harmonic number of observations is 73 with the empirical chi square 5.87 with prob < 0.75
## The total number of observations was 73 with MLE Chi Square = 28.89 with prob < 0.00068
##
## Tucker Lewis Index of factoring reliability = 0.901
## RMSEA index = 0.182 and the 90 % confidence intervals are 0.105 0.247
## BIC = -9.72
## Fit based upon off diagonal values = 0.99
## Measures of factor score adequacy
## MR1
## Correlation of scores with factors 0.97
## Multiple R square of scores with factors 0.94
## Minimum correlation of possible factor scores 0.88
## Factor Analysis using method = minres
## Call: fa(r = wew[, c(2, 4, 6, 8, 10, 12)], nfactors = 1)
## Standardized loadings (pattern matrix) based upon correlation matrix
## MR1 h2 u2 com
## inc_h2_1 0.70 0.49 0.51 1
## inc_h2_2 0.93 0.87 0.13 1
## inc_h2_3 0.87 0.77 0.23 1
## inc_h2_4 0.92 0.85 0.15 1
## inc_h2_5 0.91 0.83 0.17 1
## inc_h2_6 0.91 0.83 0.17 1
##
## MR1
## SS loadings 4.63
## Proportion Var 0.77
##
## Mean item complexity = 1
## Test of the hypothesis that 1 factor is sufficient.
##
## The degrees of freedom for the null model are 15 and the objective function was 6.58 with Chi Square of 454.84
## The degrees of freedom for the model are 9 and the objective function was 0.3
##
## The root mean square of the residuals (RMSR) is 0.04
## The df corrected root mean square of the residuals is 0.05
##
## The harmonic number of observations is 73 with the empirical chi square 2.77 with prob < 0.97
## The total number of observations was 73 with MLE Chi Square = 20.39 with prob < 0.016
##
## Tucker Lewis Index of factoring reliability = 0.956
## RMSEA index = 0.139 and the 90 % confidence intervals are 0.054 0.208
## BIC = -18.22
## Fit based upon off diagonal values = 1
## Measures of factor score adequacy
## MR1
## Correlation of scores with factors 0.98
## Multiple R square of scores with factors 0.96
## Minimum correlation of possible factor scores 0.93
ANOVA 2X2
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.28 0.284 0.229 0.634
## plec_resp 1 3.19 3.191 2.576 0.113
## plec_boh:plec_resp 1 0.39 0.387 0.312 0.578
## Residuals 69 85.48 1.239
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 1.03 1.028 0.609 0.438
## plec_resp 1 3.66 3.661 2.169 0.145
## plec_boh:plec_resp 1 1.36 1.360 0.806 0.372
## Residuals 69 116.44 1.688
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.00 0.000 0.000 0.9901
## plec_resp 1 0.00 0.000 0.000 0.9873
## plec_boh:plec_resp 1 6.54 6.536 3.941 0.0511 .
## Residuals 69 114.42 1.658
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 6.38 6.379 3.328 0.0724 .
## plec_resp 1 0.82 0.817 0.426 0.5160
## plec_boh:plec_resp 1 4.78 4.778 2.493 0.1189
## Residuals 69 132.24 1.917
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.06 0.056 0.037 0.84857
## plec_resp 1 0.30 0.303 0.197 0.65823
## plec_boh:plec_resp 1 14.14 14.140 9.210 0.00339 **
## Residuals 69 105.94 1.535
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 2.96 2.959 1.430 0.2359
## plec_resp 1 0.46 0.463 0.224 0.6375
## plec_boh:plec_resp 1 5.77 5.768 2.787 0.0995 .
## Residuals 69 142.78 2.069
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.49 0.485 0.258 0.6134
## plec_resp 1 2.80 2.796 1.485 0.2272
## plec_boh:plec_resp 1 10.56 10.557 5.607 0.0207 *
## Residuals 69 129.92 1.883
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 2.71 2.711 1.036 0.312
## plec_resp 1 1.81 1.811 0.692 0.408
## plec_boh:plec_resp 1 4.77 4.770 1.824 0.181
## Residuals 69 180.46 2.615
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.24 0.244 0.136 0.714
## plec_resp 1 0.93 0.929 0.516 0.475
## plec_boh:plec_resp 1 8.62 8.622 4.788 0.032 *
## Residuals 69 124.26 1.801
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 9.49 9.492 3.938 0.0512 .
## plec_resp 1 0.73 0.730 0.303 0.5838
## plec_boh:plec_resp 1 4.51 4.512 1.872 0.1757
## Residuals 69 166.31 2.410
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 0.01 0.008 0.005 0.945
## plec_resp 1 0.42 0.415 0.247 0.620
## plec_boh:plec_resp 1 3.48 3.476 2.071 0.155
## Residuals 69 115.77 1.678
## Df Sum Sq Mean Sq F value Pr(>F)
## plec_boh 1 4.27 4.272 2.289 0.1349
## plec_resp 1 0.36 0.362 0.194 0.6609
## plec_boh:plec_resp 1 6.67 6.668 3.572 0.0629 .
## Residuals 69 128.78 1.866
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1