Introduction

This document contains an exploratory data analysis of the United Nations Sustainable Development Goals (UNSDG) questions, based on a sample of 2057 reponses to a survey undertaken in 2013. The data file is NEW_649917092_Consumer_NZ_Survey_Merged_FinalData_SPSS_V02_3.sav.

UNSDG attitudes

Items

The items and corresponding short names are:

Question

Distribution

plot of chunk plot-likerts

Correlation

All

  Education Healthy future Discourage disposables Resource depletion ® Environmental laws ® Poverty Exploitation Climate change ® Efficient vehicles SD govt. priority Democratic participation Polluter pays SD possible in poor economy Gender equality Dollar Valuation Water ® Household tasks
Education                                  
Healthy future 0.68                                
Discourage disposables 0.48 0.51                              
Resource depletion ® 0.18 0.30 0.23                            
Environmental laws ® 0.31 0.30 0.22 0.48                          
Poverty 0.47 0.55 0.40 0.22 0.22                        
Exploitation 0.39 0.42 0.44 0.10 0.15 0.57                      
Climate change ® 0.28 0.34 0.22 0.44 0.51 0.26 0.23                    
Efficient vehicles 0.45 0.52 0.41 0.25 0.25 0.38 0.33 0.27                  
SD govt. priority 0.54 0.53 0.53 0.28 0.36 0.44 0.45 0.38 0.64                
Democratic participation 0.40 0.51 0.35 0.20 0.14 0.42 0.31 0.17 0.42 0.44              
Polluter pays 0.43 0.49 0.44 0.31 0.30 0.44 0.30 0.27 0.45 0.49 0.48            
SD possible in poor economy 0.43 0.39 0.38 0.14 0.16 0.29 0.20 0.16 0.37 0.44 0.34 0.43          
Gender equality 0.44 0.48 0.28 0.28 0.30 0.48 0.25 0.27 0.43 0.37 0.45 0.50 0.35        
Dollar Valuation 0.32 0.32 0.36 0.06 0.14 0.28 0.35 0.10 0.36 0.46 0.32 0.36 0.35 0.22      
Water ® 0.21 0.25 0.19 0.50 0.44 0.20 0.12 0.36 0.13 0.23 0.16 0.30 0.09 0.25 0.05    
Household tasks 0.37 0.40 0.28 0.18 0.17 0.41 0.29 0.18 0.38 0.32 0.37 0.35 0.27 0.50 0.20 0.16  
Computed correlation used spearman-method with listwise-deletion.

Only strong correlations (> 0.5)

  Education Healthy future Discourage disposables Resource depletion ® Environmental laws ® Poverty Exploitation Climate change ® Efficient vehicles SD govt. priority Democratic participation Polluter pays SD possible in poor economy Gender equality Dollar Valuation Water ® Household tasks
Education                                  
Healthy future 0.68                                
Discourage disposables 0.48 0.51                              
Resource depletion ® 0.18 0.30 0.23                            
Environmental laws ® 0.31 0.30 0.22 0.48                          
Poverty 0.47 0.55 0.40 0.22 0.22                        
Exploitation 0.39 0.42 0.44 0.10 0.15 0.57                      
Climate change ® 0.28 0.34 0.22 0.44 0.51 0.26 0.23                    
Efficient vehicles 0.45 0.52 0.41 0.25 0.25 0.38 0.33 0.27                  
SD govt. priority 0.54 0.53 0.53 0.28 0.36 0.44 0.45 0.38 0.64                
Democratic participation 0.40 0.51 0.35 0.20 0.14 0.42 0.31 0.17 0.42 0.44              
Polluter pays 0.43 0.49 0.44 0.31 0.30 0.44 0.30 0.27 0.45 0.49 0.48            
SD possible in poor economy 0.43 0.39 0.38 0.14 0.16 0.29 0.20 0.16 0.37 0.44 0.34 0.43          
Gender equality 0.44 0.48 0.28 0.28 0.30 0.48 0.25 0.27 0.43 0.37 0.45 0.50 0.35        
Dollar Valuation 0.32 0.32 0.36 0.06 0.14 0.28 0.35 0.10 0.36 0.46 0.32 0.36 0.35 0.22      
Water ® 0.21 0.25 0.19 0.50 0.44 0.20 0.12 0.36 0.13 0.23 0.16 0.30 0.09 0.25 0.05    
Household tasks 0.37 0.40 0.28 0.18 0.17 0.41 0.29 0.18 0.38 0.32 0.37 0.35 0.27 0.50 0.20 0.16  
Computed correlation used spearman-method with listwise-deletion.

Dimensionality

## Following items have no clear factor loading:

## none.

plot of chunk UNSDG_pca

UNSDG behaviours

Items

The items and corresponding short names are:

Question

Distribution

plot of chunk plot-UNSDG-behaviours

Correlations

All

  Active transport Waste water Recycle at home Respect online Lifestyle bad Help the poor Litter Damage environment ® Racism ® Compost ® Boycott Reduce waste Voting Charities Broad-minded Thought Sexism
Active transport                                  
Waste water 0.25                                
Recycle at home 0.16 0.33                              
Respect online 0.23 0.30 0.51                            
Lifestyle bad -0.08 -0.10 -0.03 -0.04                          
Help the poor 0.29 0.27 0.25 0.31 0.01                        
Litter 0.24 0.26 0.32 0.28 0.07 0.39                      
Damage environment ® -0.08 -0.15 -0.37 -0.32 0.23 -0.20 -0.23                    
Racism ® 0.00 0.04 -0.17 -0.21 0.10 -0.05 -0.08 0.31                  
Compost ® -0.08 -0.11 -0.22 -0.11 0.28 -0.12 -0.08 0.34 0.18                
Boycott 0.27 0.18 0.21 0.20 -0.02 0.34 0.33 -0.23 0.04 -0.09              
Reduce waste 0.32 0.25 0.41 0.31 0.03 0.36 0.33 -0.31 -0.08 -0.17 0.45            
Voting 0.10 0.22 0.44 0.36 0.01 0.23 0.17 -0.20 -0.16 -0.16 0.10 0.31          
Charities 0.21 0.17 0.17 0.19 0.01 0.41 0.27 -0.07 0.02 -0.01 0.25 0.22 0.25        
Broad-minded 0.24 0.23 0.35 0.33 0.08 0.29 0.31 -0.27 -0.13 -0.06 0.27 0.35 0.37 0.27      
Thought 0.30 0.27 0.35 0.29 0.02 0.43 0.29 -0.32 -0.07 -0.21 0.47 0.56 0.27 0.28 0.46    
Sexism 0.16 0.26 0.34 0.53 -0.00 0.28 0.26 -0.28 -0.19 -0.07 0.19 0.29 0.40 0.12 0.39 0.31  
Computed correlation used spearman-method with listwise-deletion.

Only strong correlations (> 0.5)

  Active transport Waste water Recycle at home Respect online Lifestyle bad Help the poor Litter Damage environment ® Racism ® Compost ® Boycott Reduce waste Voting Charities Broad-minded Thought Sexism
Active transport                                  
Waste water 0.25                                
Recycle at home 0.16 0.33                              
Respect online 0.23 0.30 0.51                            
Lifestyle bad -0.08 -0.10 -0.03 -0.04                          
Help the poor 0.29 0.27 0.25 0.31 0.01                        
Litter 0.24 0.26 0.32 0.28 0.07 0.39                      
Damage environment ® -0.08 -0.15 -0.37 -0.32 0.23 -0.20 -0.23                    
Racism ® 0.00 0.04 -0.17 -0.21 0.10 -0.05 -0.08 0.31                  
Compost ® -0.08 -0.11 -0.22 -0.11 0.28 -0.12 -0.08 0.34 0.18                
Boycott 0.27 0.18 0.21 0.20 -0.02 0.34 0.33 -0.23 0.04 -0.09              
Reduce waste 0.32 0.25 0.41 0.31 0.03 0.36 0.33 -0.31 -0.08 -0.17 0.45            
Voting 0.10 0.22 0.44 0.36 0.01 0.23 0.17 -0.20 -0.16 -0.16 0.10 0.31          
Charities 0.21 0.17 0.17 0.19 0.01 0.41 0.27 -0.07 0.02 -0.01 0.25 0.22 0.25        
Broad-minded 0.24 0.23 0.35 0.33 0.08 0.29 0.31 -0.27 -0.13 -0.06 0.27 0.35 0.37 0.27      
Thought 0.30 0.27 0.35 0.29 0.02 0.43 0.29 -0.32 -0.07 -0.21 0.47 0.56 0.27 0.28 0.46    
Sexism 0.16 0.26 0.34 0.53 -0.00 0.28 0.26 -0.28 -0.19 -0.07 0.19 0.29 0.40 0.12 0.39 0.31  
Computed correlation used spearman-method with listwise-deletion.

Dimensionality

## Following items have no clear factor loading:

## ATLifestyleBroad

plot of chunk UNSDG_b_pca

Moral foundations

Items

Relevance

Question

Judgements

Question

Distributions

Relevance

Note: there is no neutral category for these questions

Numbers are % agree,disagree

Judgments

plot of chunk mf_i-dist

Correlations

Relevance

All

  Emotionally Treated LoveCountry Respect Decency Check1.Maths Weak Unfairly Betray Traditions Disgusting Cruel Rights Loyalty Chaos God
Emotionally                                
Treated 0.53                              
LoveCountry 0.21 0.24                            
Respect 0.25 0.27 0.38                          
Decency 0.30 0.30 0.31 0.58                        
Check1.Maths -0.06 -0.09 0.40 0.11 -0.06                      
Weak 0.48 0.41 0.23 0.29 0.35 0.01                    
Unfairly 0.43 0.49 0.11 0.31 0.38 -0.12 0.55                  
Betray 0.29 0.33 0.39 0.42 0.42 0.11 0.40 0.51                
Traditions 0.16 0.12 0.49 0.41 0.33 0.38 0.18 0.22 0.40              
Disgusting 0.32 0.27 0.33 0.44 0.52 0.06 0.37 0.42 0.49 0.35            
Cruel 0.42 0.35 0.09 0.34 0.41 -0.20 0.45 0.56 0.43 0.07 0.58          
Rights 0.41 0.49 0.12 0.25 0.36 -0.18 0.45 0.58 0.40 0.12 0.38 0.59        
Loyalty 0.32 0.27 0.44 0.46 0.44 0.26 0.35 0.36 0.57 0.43 0.47 0.37 0.36      
Chaos 0.33 0.30 0.37 0.51 0.49 0.18 0.37 0.36 0.49 0.37 0.55 0.45 0.41 0.59    
God 0.16 0.13 0.35 0.26 0.32 0.31 0.27 0.09 0.17 0.38 0.25 0.07 0.03 0.29 0.31  
Computed correlation used spearman-method with listwise-deletion.

Only strong correlations (> 0.5)

  Emotionally Treated LoveCountry Respect Decency Check1.Maths Weak Unfairly Betray Traditions Disgusting Cruel Rights Loyalty Chaos God
Emotionally                                
Treated 0.53                              
LoveCountry 0.21 0.24                            
Respect 0.25 0.27 0.38                          
Decency 0.30 0.30 0.31 0.58                        
Check1.Maths -0.06 -0.09 0.40 0.11 -0.06                      
Weak 0.48 0.41 0.23 0.29 0.35 0.01                    
Unfairly 0.43 0.49 0.11 0.31 0.38 -0.12 0.55                  
Betray 0.29 0.33 0.39 0.42 0.42 0.11 0.40 0.51                
Traditions 0.16 0.12 0.49 0.41 0.33 0.38 0.18 0.22 0.40              
Disgusting 0.32 0.27 0.33 0.44 0.52 0.06 0.37 0.42 0.49 0.35            
Cruel 0.42 0.35 0.09 0.34 0.41 -0.20 0.45 0.56 0.43 0.07 0.58          
Rights 0.41 0.49 0.12 0.25 0.36 -0.18 0.45 0.58 0.40 0.12 0.38 0.59        
Loyalty 0.32 0.27 0.44 0.46 0.44 0.26 0.35 0.36 0.57 0.43 0.47 0.37 0.36      
Chaos 0.33 0.30 0.37 0.51 0.49 0.18 0.37 0.36 0.49 0.37 0.55 0.45 0.41 0.59    
God 0.16 0.13 0.35 0.26 0.32 0.31 0.27 0.09 0.17 0.38 0.25 0.07 0.03 0.29 0.31  
Computed correlation used spearman-method with listwise-deletion.

Judgements

All

  Compassion Fairly History KidRespect HarmlessDG Check2.Good Animal Justice Family SexRoles Unnatural Kill Rich Team Soldier Chastity
Compassion                                
Fairly 0.46                              
History 0.14 0.21                            
KidRespect 0.29 0.42 0.32                          
HarmlessDG 0.31 0.29 0.25 0.46                        
Check2.Good 0.38 0.46 0.11 0.41 0.36                      
Animal 0.33 0.36 0.08 0.32 0.34 0.38                    
Justice 0.41 0.49 0.23 0.44 0.36 0.40 0.42                  
Family 0.09 0.09 0.32 0.15 0.28 -0.00 0.10 0.20                
SexRoles 0.21 0.18 0.15 0.33 0.31 0.12 0.08 0.21 0.30              
Unnatural 0.25 0.18 0.21 0.28 0.49 0.13 0.13 0.20 0.37 0.45            
Kill 0.30 0.27 0.14 0.28 0.35 0.25 0.27 0.28 0.26 0.14 0.27          
Rich 0.15 0.08 0.04 -0.11 0.04 -0.10 0.04 -0.02 0.21 0.04 0.13 0.19        
Team 0.04 0.01 0.21 0.10 0.23 -0.05 -0.02 0.09 0.29 0.14 0.25 0.25 0.36      
Soldier 0.10 0.14 0.32 0.29 0.24 0.09 0.04 0.23 0.26 0.23 0.23 0.16 0.02 0.29    
Chastity 0.23 0.11 0.20 0.25 0.40 0.14 0.03 0.12 0.20 0.36 0.44 0.29 0.16 0.31 0.27  
Computed correlation used spearman-method with listwise-deletion.

Only strong correlations (> 0.5)

  Compassion Fairly History KidRespect HarmlessDG Check2.Good Animal Justice Family SexRoles Unnatural Kill Rich Team Soldier Chastity
Compassion                                
Fairly 0.46                              
History 0.14 0.21                            
KidRespect 0.29 0.42 0.32                          
HarmlessDG 0.31 0.29 0.25 0.46                        
Check2.Good 0.38 0.46 0.11 0.41 0.36                      
Animal 0.33 0.36 0.08 0.32 0.34 0.38                    
Justice 0.41 0.49 0.23 0.44 0.36 0.40 0.42                  
Family 0.09 0.09 0.32 0.15 0.28 -0.00 0.10 0.20                
SexRoles 0.21 0.18 0.15 0.33 0.31 0.12 0.08 0.21 0.30              
Unnatural 0.25 0.18 0.21 0.28 0.49 0.13 0.13 0.20 0.37 0.45            
Kill 0.30 0.27 0.14 0.28 0.35 0.25 0.27 0.28 0.26 0.14 0.27          
Rich 0.15 0.08 0.04 -0.11 0.04 -0.10 0.04 -0.02 0.21 0.04 0.13 0.19        
Team 0.04 0.01 0.21 0.10 0.23 -0.05 -0.02 0.09 0.29 0.14 0.25 0.25 0.36      
Soldier 0.10 0.14 0.32 0.29 0.24 0.09 0.04 0.23 0.26 0.23 0.23 0.16 0.02 0.29    
Chastity 0.23 0.11 0.20 0.25 0.40 0.14 0.03 0.12 0.20 0.36 0.44 0.29 0.16 0.31 0.27  
Computed correlation used spearman-method with listwise-deletion.

Dimensionality

Relevance

PCA

## Following items have no clear factor loading:

## Cruel

plot of chunk MF_a_pca

CFA

## Loading required namespace: GPArotation

## Kaiser-Meyer-Olkin factor adequacy
## Call: psych::KMO(r = cmat)
## Overall MSA =  0.89
## MSA for each item = 
##  Emotionally      Treated  LoveCountry      Respect      Decency 
##         0.89         0.86         0.88         0.91         0.90 
## Check1.Maths         Weak     Unfairly       Betray   Traditions 
##         0.71         0.91         0.89         0.92         0.86 
##   Disgusting        Cruel       Rights      Loyalty        Chaos 
##         0.91         0.87         0.90         0.93         0.94 
##          God 
##         0.84 
## 
## Loadings:
##              MR3    MR2    MR4    MR1   
## Emotionally   0.694                     
## Treated       0.771                     
## LoveCountry   0.173  0.593  0.170       
## Respect              0.171  0.575  0.103
## Decency                     0.862       
## Check1.Maths         0.769 -0.186       
## Weak          0.571                0.133
## Unfairly      0.494                0.386
## Betray        0.128  0.287         0.493
## Traditions           0.566  0.218       
## Disgusting           0.121  0.362  0.448
## Cruel         0.181 -0.217  0.159  0.606
## Rights        0.442 -0.132         0.426
## Loyalty              0.423  0.160  0.406
## Chaos                0.275  0.309  0.372
## God           0.147  0.389  0.279 -0.192
## 
##                  MR3   MR2   MR4   MR1
## SS loadings    1.958 1.879 1.550 1.528
## Proportion Var 0.122 0.117 0.097 0.095
## Cumulative Var 0.122 0.240 0.337 0.432
## 
## TLI: 0.91 
## 
##      RMSEA      lower      upper confidence 
##       0.07       0.06       0.08       0.90

Judgments

PCA

## Following items have no clear factor loading:

## Family

plot of chunk MF_j_pca

Common Factor Analysis

## Kaiser-Meyer-Olkin factor adequacy
## Call: psych::KMO(r = cmat)
## Overall MSA =  0.85
## MSA for each item = 
##  Compassion      Fairly     History  KidRespect  HarmlessDG Check2.Good 
##        0.87        0.86        0.83        0.88        0.89        0.87 
##      Animal     Justice      Family    SexRoles   Unnatural        Kill 
##        0.86        0.89        0.80        0.83        0.85        0.90 
##        Rich        Team     Soldier    Chastity 
##        0.57        0.76        0.86        0.84 
## 
## Loadings:
##             MR1    MR2    MR4    MR3   
## Compassion   0.589  0.151 -0.136  0.158
## Fairly       0.708                     
## History      0.106         0.545       
## KidRespect   0.440  0.206  0.256 -0.235
## HarmlessDG   0.300  0.503              
## Check2.Good  0.651               -0.135
## Animal       0.616                     
## Justice      0.646         0.214       
## Family              0.225  0.366  0.187
## SexRoles            0.557              
## Unnatural           0.766              
## Kill         0.335  0.194         0.248
## Rich                              0.758
## Team        -0.116  0.155  0.362  0.394
## Soldier             0.104  0.526       
## Chastity            0.610              
## 
##                  MR1   MR2   MR4   MR3
## SS loadings    2.496 1.723 0.997 0.951
## Proportion Var 0.156 0.108 0.062 0.059
## Cumulative Var 0.156 0.264 0.326 0.385
## 
## TLI: 0.92 
## 
##      RMSEA      lower      upper confidence 
##       0.05       0.04       0.06       0.90

Confirmatory Factor Analysis

Strangely, the published paper [@graham11] has very low fit indices, well below the normallly acceptable thresholds. Why? For example, in Table 10, p. 379, the CFIs are all in the 0.7–0.8 range; however the RMSEAs are acceptable.

Anyway, in this section I'll replicate their analyses to the best of my ability. The first order of business will be to address the NPD matrices reported below.

Relevance items

CFA

## Warning in lav_object_post_check(object): lavaan WARNING: covariance matrix of latent variables
##                 is not positive definite;
##                 use inspect(fit,"cov.lv") to investigate.

##  srmr rmsea   cfi   tli 
## 0.058 0.097 0.890 0.855

## Modification indices

##             lhs op        rhs   mi    epc sepc.lv sepc.all sepc.nox
## 143       Cruel ~~ Disgusting 51.4  0.289   0.289    0.183    0.183
## 108 Emotionally ~~    Treated 39.3  0.247   0.247    0.187    0.187
## 178 LoveCountry ~~ Traditions 35.3  0.299   0.299    0.185    0.185
## 104      Purity =~ Traditions 31.3 -1.459  -1.319   -1.066   -1.066
## 140       Cruel ~~ Traditions 30.4 -0.220  -0.220   -0.147   -0.147

Reliabilities

## Harm

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N  ase mean   sd
##       0.73      0.73    0.65      0.48 2.8 0.01  3.5 0.96

## Fairness

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd
##       0.78      0.78    0.71      0.54 3.6 0.0084  3.5 0.94

## Ingroup

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N    ase mean sd
##       0.75      0.75    0.68       0.5   3 0.0098  2.8  1

## Authority

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##       0.72      0.72    0.63      0.46 2.6 0.011  2.8 0.98

## Purity

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N   ase mean  sd
##       0.62      0.65    0.58      0.38 1.9 0.015  2.9 1.1

Judgement items

CFA

## Warning in lav_model_vcov(lavmodel = lavmodel, lavsamplestats = lavsamplestats, : lavaan WARNING: could not compute standard errors!
##   lavaan NOTE: this may be a symptom that the model is not identified.

## Warning in lav_object_post_check(object): lavaan WARNING: some estimated lv
## variances are negative

##  srmr rmsea   cfi   tli 
## 0.122 0.117 0.686 0.588

## Modification indices

##             lhs op        rhs   mi    epc sepc.lv sepc.all sepc.nox
## 143       Cruel ~~ Disgusting 51.4  0.289   0.289    0.183    0.183
## 108 Emotionally ~~    Treated 39.3  0.247   0.247    0.187    0.187
## 178 LoveCountry ~~ Traditions 35.3  0.299   0.299    0.185    0.185
## 104      Purity =~ Traditions 31.3 -1.459  -1.319   -1.066   -1.066
## 140       Cruel ~~ Traditions 30.4 -0.220  -0.220   -0.147   -0.147

Reliabilities

## Harm

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##       0.52      0.54    0.44      0.28 1.2 0.018  3.8 0.88

## Fairness

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r  S/N   ase mean   sd
##       0.33      0.42     0.4      0.19 0.72 0.026  3.5 0.78

## Ingroup

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##       0.54      0.54    0.44      0.28 1.2 0.018  2.8 0.96

## Authority

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r  S/N   ase mean   sd
##       0.37      0.37    0.28      0.16 0.58 0.024  3.1 0.88

## Purity

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N   ase mean  sd
##       0.62      0.65    0.58      0.38 1.9 0.015  2.9 1.1

Relevance and Judgement items

CFA

## Warning in lav_object_post_check(object): lavaan WARNING: covariance matrix of latent variables
##                 is not positive definite;
##                 use inspect(fit,"cov.lv") to investigate.

##  srmr rmsea   cfi   tli 
## 0.091 0.095 0.710 0.681

## Modification indices

##             lhs op        rhs   mi    epc sepc.lv sepc.all sepc.nox
## 143       Cruel ~~ Disgusting 51.4  0.289   0.289    0.183    0.183
## 108 Emotionally ~~    Treated 39.3  0.247   0.247    0.187    0.187
## 178 LoveCountry ~~ Traditions 35.3  0.299   0.299    0.185    0.185
## 104      Purity =~ Traditions 31.3 -1.459  -1.319   -1.066   -1.066
## 140       Cruel ~~ Traditions 30.4 -0.220  -0.220   -0.147   -0.147

Reliabilities

## Harm

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd
##       0.73      0.75    0.74      0.33   3 0.0092  3.6 0.79

## Fairness

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N   ase mean   sd
##        0.7      0.73    0.74      0.31 2.7 0.011  3.5 0.73

## Ingroup

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N    ase mean   sd
##       0.72      0.72    0.71       0.3 2.6 0.0095  2.8 0.84

## Authority

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N  ase mean  sd
##       0.71      0.72    0.71       0.3 2.6 0.01  3.1 0.8

## Purity

## 
## Reliability analysis   
##  raw_alpha std.alpha G6(smc) average_r S/N    ase mean sd
##       0.78      0.79    0.78      0.38 3.7 0.0074    3  1

Numerical problems

## Covariance matrix of Latent Variables --- investigate NPD

##           Harm  Farnss Ingrop Athrty Purity
## Harm      0.201                            
## Fairness  0.206 0.240                      
## Ingroup   0.111 0.118  0.159               
## Authority 0.138 0.143  0.187  0.245        
## Purity    0.241 0.214  0.266  0.393  0.714

Structural Equation Modelling

Recreating AMOS model

I have a paper copy of an AMOS model but can't find the source file! The dependent variable in that model is “I intend to purchase”, but I forget which variable that is, and can't see a plausible candidate in the SPSS file. So I've put one in that seems to make sense: “”.

##  srmr rmsea   cfi   tli 
## 0.051 0.080 0.939 0.900

## lavaan (0.5-23.1097) converged normally after  37 iterations
## 
##   Number of observations                           510
## 
##   Estimator                                         ML
##   Minimum Function Test Statistic               94.197
##   Degrees of freedom                                22
##   P-value (Chi-square)                           0.000
## 
## Parameter Estimates:
## 
##   Information                                 Expected
##   Standard Errors                             Standard
## 
## Latent Variables:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##   Harm =~                                                               
##     Emotionally       1.000                               0.778    0.662
##     Weak              1.072    0.090   11.921    0.000    0.834    0.717
##     Cruel             1.080    0.092   11.765    0.000    0.841    0.697
##   Purity =~                                                             
##     Unnatural         1.000                               0.831    0.582
##     Chastity          1.335    0.130   10.303    0.000    1.109    0.761
##     God               1.535    0.149   10.330    0.000    1.275    0.709
##   InGroup =~                                                            
##     Betray            1.000                               0.950    0.761
##     Loyalty           1.031    0.078   13.254    0.000    0.979    0.800
## 
## Regressions:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##   Intent ~                                                              
##     Harm              0.021    0.122    0.169    0.866    0.016    0.016
##     Purity            0.273    0.074    3.698    0.000    0.227    0.224
##     InGroup          -0.036    0.106   -0.337    0.736   -0.034   -0.034
## 
## Covariances:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##   Harm ~~                                                               
##     Purity            0.168    0.042    3.989    0.000    0.260    0.260
##     InGroup           0.538    0.062    8.696    0.000    0.728    0.728
##   Purity ~~                                                             
##     InGroup           0.318    0.055    5.759    0.000    0.403    0.403
## 
## Variances:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##    .Emotionally       0.775    0.064   12.194    0.000    0.775    0.561
##    .Weak              0.658    0.061   10.826    0.000    0.658    0.486
##    .Cruel             0.749    0.066   11.379    0.000    0.749    0.514
##    .Unnatural         1.349    0.103   13.151    0.000    1.349    0.662
##    .Chastity          0.892    0.110    8.077    0.000    0.892    0.421
##    .God               1.607    0.162    9.894    0.000    1.607    0.497
##    .Betray            0.656    0.070    9.360    0.000    0.656    0.421
##    .Loyalty           0.538    0.069    7.785    0.000    0.538    0.360
##    .Intent            0.979    0.062   15.675    0.000    0.979    0.953
##     Harm              0.606    0.083    7.342    0.000    1.000    1.000
##     Purity            0.690    0.112    6.157    0.000    1.000    1.000
##     InGroup           0.902    0.105    8.577    0.000    1.000    1.000

## Modification indices

##             lhs op        rhs   mi    epc sepc.lv sepc.all sepc.nox
## 143       Cruel ~~ Disgusting 51.4  0.289   0.289    0.183    0.183
## 108 Emotionally ~~    Treated 39.3  0.247   0.247    0.187    0.187
## 178 LoveCountry ~~ Traditions 35.3  0.299   0.299    0.185    0.185
## 104      Purity =~ Traditions 31.3 -1.459  -1.319   -1.066   -1.066
## 140       Cruel ~~ Traditions 30.4 -0.220  -0.220   -0.147   -0.147

## Descriptive statistics for data set of size n=2057

##             Mean  SD Median IQR Min Max Skew Kurt Missing
## Emotionally  3.3 1.2      3   1   0   5 -0.7  0.4    1547
## Weak         3.3 1.2      3   1   0   5 -0.6  0.2    1547
## Cruel        3.8 1.2      4   2   0   5 -1.1  1.1    1547
## Unnatural    3.0 1.4      3   2   0   5 -0.4 -0.6    1547
## Chastity     2.9 1.5      3   2   0   5 -0.4 -0.6    1547
## God          2.1 1.8      2   4   0   5  0.2 -1.3    1547
## Betray       3.1 1.2      3   2   0   5 -0.5 -0.1    1547
## Loyalty      2.9 1.2      3   2   0   5 -0.4 -0.1    1547

plot of chunk sem_amosplot of chunk sem_amosplot of chunk sem_amosplot of chunk sem_amosplot of chunk sem_amosplot of chunk sem_amosplot of chunk sem_amosplot of chunk sem_amos

## $Emotionally
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Weak
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Cruel
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Unnatural
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Chastity
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $God
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Betray
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Loyalty
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7

Appendix

Histograms

Moral Foundations (Relevance)

plot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_rplot of chunk hist-MF_r

## $Emotionally
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Treated
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $LoveCountry
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Respect
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Decency
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Check1.Maths
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Weak
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Unfairly
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Betray
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Traditions
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Disgusting
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Cruel
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Rights
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Loyalty
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Chaos
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $God
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7

Moral Foundations (Judgement)

plot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_jplot of chunk hist-MF_j

## $Compassion
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Fairly
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $History
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $KidRespect
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $HarmlessDG
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Check2.Good
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Animal
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Justice
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Family
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $SexRoles
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Unnatural
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Kill
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Rich
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Team
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Soldier
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7
## 
## $Chastity
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## [6,]  6.7

UNSDG Attitudes

plot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_aplot of chunk hist-UNSDG_a

## $edu
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $health
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $dispos
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $deplete
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $laws
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $poverty
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $exploit
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $climate
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $fuels
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $govt
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $vote
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $pays
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $poor
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $gender
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $dollar
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $water
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $tasks
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5

UNSDG Behaviours

plot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_bplot of chunk hist-UNSDG_b

## $AT
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Water
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Recycle
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Respect
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Lifestyle
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Poor
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Litter
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Damage
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Racism
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Compost
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Boycott
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Waste
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Voting
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Charities
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Broad
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Thought
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5
## 
## $Sexism
##      [,1]
## [1,]  0.7
## [2,]  1.9
## [3,]  3.1
## [4,]  4.3
## [5,]  5.5

References