European Journalism Centre Results

DV DV notes Outcome Direction Tightness (Control) Tightness Mod
challengebin Challenge (binary) - Yes if indicated pre-registered challenge NS NA NA No
challengesum Challenge (sum) - Sum of pre-registered challenges Yes Positive No longer sig. No
challengequal Challenge (Quality) NS NA NA No
challenge_eth Challenge (Ethical) NS NA NA No
challenge_rel Challenge (Reliability) Yes Positive Yes (Tight = Marg.) No
access_local Access to local official data in the country where you work? Yes Positive Yes (Tight = NS) No
quality_local The quality and reliability of local official data in the country where you work? Yes Positive Yes (Tight = Yes) Yes
access_national Access to national official data in the country where you work? Yes Positive Yes (Tight = N) No
quality_local CThe quality and reliability of national official data in the country where you work? Yes Positive Yes (Tight = Yes) No

Notes:
- Ordinal measures: 1 = Very Poor, 2 = Poor, 3 = Average, 4 = Good, 5 = Very Good).

Main Results

Challenge (Binary)

## 
## Call:
## glm(formula = challengebin ~ PC1_SDS, family = "binomial", data = ejcdata)
## 
## Coefficients:
##             Estimate Std. Error z value           Pr(>|z|)    
## (Intercept)   1.1178     0.1425    7.85 0.0000000000000043 ***
## PC1_SDS       0.0280     0.0272    1.03                0.3    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 298.63  on 266  degrees of freedom
## Residual deviance: 297.56  on 265  degrees of freedom
## AIC: 301.6
## 
## Number of Fisher Scoring iterations: 4

Challenge (Sum)

## 
## Call:
## lm(formula = challenge_sum ~ PC1_SDS, data = ejcdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1.2773 -0.2724 -0.0913  0.7276  2.0557 
## 
## Coefficients:
##             Estimate Std. Error t value            Pr(>|t|)    
## (Intercept)   1.1151     0.0523   21.31 <0.0000000000000002 ***
## PC1_SDS       0.0223     0.0100    2.23               0.027 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.85 on 265 degrees of freedom
## Multiple R-squared:  0.0184, Adjusted R-squared:  0.0147 
## F-statistic: 4.97 on 1 and 265 DF,  p-value: 0.0266

Challenge (Quality)

## 
## Call:
## glm(formula = challenge_quality ~ PC1_SDS, family = "binomial", 
##     data = ejcdata)
## 
## Coefficients:
##             Estimate Std. Error z value    Pr(>|z|)    
## (Intercept)   0.6964     0.1304    5.34 0.000000092 ***
## PC1_SDS       0.0323     0.0249    1.30        0.19    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 339.90  on 266  degrees of freedom
## Residual deviance: 338.21  on 265  degrees of freedom
## AIC: 342.2
## 
## Number of Fisher Scoring iterations: 4

Challenge (Ethical)

## 
## Call:
## glm(formula = challenge_ethical ~ PC1_SDS, family = "binomial", 
##     data = ejcdata)
## 
## Coefficients:
##             Estimate Std. Error z value            Pr(>|z|)    
## (Intercept) -1.73743    0.17168   -10.1 <0.0000000000000002 ***
## PC1_SDS      0.00982    0.03290     0.3                0.77    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 225.55  on 266  degrees of freedom
## Residual deviance: 225.46  on 265  degrees of freedom
## AIC: 229.5
## 
## Number of Fisher Scoring iterations: 4

Challenge (Reliability)

## 
## Call:
## glm(formula = challenge_reliability ~ PC1_SDS, family = "binomial", 
##     data = ejcdata)
## 
## Coefficients:
##             Estimate Std. Error z value      Pr(>|z|)    
## (Intercept)  -0.8774     0.1369   -6.41 0.00000000015 ***
## PC1_SDS       0.0680     0.0265    2.57          0.01 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 326.03  on 266  degrees of freedom
## Residual deviance: 319.22  on 265  degrees of freedom
## AIC: 323.2
## 
## Number of Fisher Scoring iterations: 4

Local Access

## formula: access_local ~ PC1_SDS
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  265  -342.62 695.24 5(0)  6.15e-07 2.3e+02
## 
## Coefficients:
##         Estimate Std. Error z value    Pr(>|z|)    
## PC1_SDS   0.1289     0.0233    5.53 0.000000032 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2   -2.688      0.240  -11.20
## 2|3   -0.498      0.132   -3.78
## 3|4    1.434      0.158    9.09
## 4|5    3.452      0.329   10.50
## (2 observations deleted due to missingness)

Local Quality

## formula: quality_local ~ PC1_SDS
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  264  -355.62 721.23 5(0)  3.91e-07 1.7e+02
## 
## Coefficients:
##         Estimate Std. Error z value   Pr(>|z|)    
## PC1_SDS   0.1171     0.0229    5.12 0.00000031 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2   -2.605      0.233  -11.17
## 2|3   -0.957      0.141   -6.81
## 3|4    0.989      0.142    6.95
## 4|5    2.989      0.273   10.97
## (3 observations deleted due to missingness)

National Access

## formula: access_national ~ PC1_SDS
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  265  -333.56 677.12 6(0)  4.92e-11 2.1e+02
## 
## Coefficients:
##         Estimate Std. Error z value       Pr(>|z|)    
## PC1_SDS   0.1505     0.0232    6.48 0.000000000095 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2   -3.319      0.304  -10.91
## 2|3   -1.088      0.147   -7.39
## 3|4    0.823      0.140    5.88
## 4|5    3.319      0.304   10.93
## (2 observations deleted due to missingness)

National Quality

## formula: quality_national ~ PC1_SDS
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  264  -323.04 656.08 6(0)  2.34e-09 2.3e+02
## 
## Coefficients:
##         Estimate Std. Error z value        Pr(>|z|)    
## PC1_SDS   0.1706     0.0244    6.99 0.0000000000028 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2   -3.218      0.286  -11.24
## 2|3   -1.275      0.155   -8.25
## 3|4    0.853      0.143    5.97
## 4|5    3.577      0.333   10.74
## (3 observations deleted due to missingness)

Tightness Results (Control)

Challenge (Binary)

## 
## Call:
## glm(formula = challengebin ~ PC1_SDS + Tightness_adjusted_scale, 
##     family = "binomial", data = ejcdata)
## 
## Coefficients:
##                          Estimate Std. Error z value Pr(>|z|)  
## (Intercept)                3.8921     1.9685    1.98    0.048 *
## PC1_SDS                   -0.0288     0.0436   -0.66    0.509  
## Tightness_adjusted_scale  -1.1995     0.9380   -1.28    0.201  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 191.48  on 192  degrees of freedom
## Residual deviance: 189.74  on 190  degrees of freedom
##   (74 observations deleted due to missingness)
## AIC: 195.7
## 
## Number of Fisher Scoring iterations: 4

Challenge (Sum)

## 
## Call:
## lm(formula = challenge_sum ~ PC1_SDS + Tightness_adjusted_scale, 
##     data = ejcdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1.3749 -0.3749  0.0087  0.6355  2.0231 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)               2.25790    0.58775    3.84  0.00017 ***
## PC1_SDS                   0.00892    0.01433    0.62  0.53443    
## Tightness_adjusted_scale -0.53459    0.28397   -1.88  0.06129 .  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.82 on 190 degrees of freedom
##   (74 observations deleted due to missingness)
## Multiple R-squared:  0.034,  Adjusted R-squared:  0.0238 
## F-statistic: 3.35 on 2 and 190 DF,  p-value: 0.0373

Challenge (Quality)

## 
## Call:
## glm(formula = challenge_quality ~ PC1_SDS + Tightness_adjusted_scale, 
##     family = "binomial", data = ejcdata)
## 
## Coefficients:
##                          Estimate Std. Error z value Pr(>|z|)
## (Intercept)                2.3766     1.6555    1.44     0.15
## PC1_SDS                   -0.0356     0.0389   -0.92     0.36
## Tightness_adjusted_scale  -0.6655     0.7954   -0.84     0.40
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 226.89  on 192  degrees of freedom
## Residual deviance: 225.84  on 190  degrees of freedom
##   (74 observations deleted due to missingness)
## AIC: 231.8
## 
## Number of Fisher Scoring iterations: 4

Challenge (Ethical)

## 
## Call:
## glm(formula = challenge_ethical ~ PC1_SDS + Tightness_adjusted_scale, 
##     family = "binomial", data = ejcdata)
## 
## Coefficients:
##                          Estimate Std. Error z value Pr(>|z|)
## (Intercept)                0.4949     1.8860    0.26     0.79
## PC1_SDS                    0.0111     0.0507    0.22     0.83
## Tightness_adjusted_scale  -1.1477     0.9288   -1.24     0.22
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 159.83  on 192  degrees of freedom
## Residual deviance: 157.66  on 190  degrees of freedom
##   (74 observations deleted due to missingness)
## AIC: 163.7
## 
## Number of Fisher Scoring iterations: 4

Challenge (Reliability)

## 
## Call:
## glm(formula = challenge_reliability ~ PC1_SDS + Tightness_adjusted_scale, 
##     family = "binomial", data = ejcdata)
## 
## Coefficients:
##                          Estimate Std. Error z value Pr(>|z|)  
## (Intercept)                1.6257     1.5016    1.08    0.279  
## PC1_SDS                    0.0814     0.0395    2.06    0.039 *
## Tightness_adjusted_scale  -1.2715     0.7367   -1.73    0.084 .
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 242.33  on 192  degrees of freedom
## Residual deviance: 229.58  on 190  degrees of freedom
##   (74 observations deleted due to missingness)
## AIC: 235.6
## 
## Number of Fisher Scoring iterations: 4

Local Access

## formula: access_local ~ PC1_SDS + Tightness_adjusted_scale
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  192  -234.59 481.17 6(0)  5.38e-11 1.0e+04
## 
## Coefficients:
##                          Estimate Std. Error z value   Pr(>|z|)    
## PC1_SDS                    0.1816     0.0353    5.15 0.00000026 ***
## Tightness_adjusted_scale   0.5669     0.6415    0.88       0.38    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2   -1.781      1.360   -1.31
## 2|3    0.791      1.328    0.60
## 3|4    2.830      1.350    2.10
## 4|5    5.130      1.415    3.63
## (75 observations deleted due to missingness)

Local Quality

## formula: quality_local ~ PC1_SDS + Tightness_adjusted_scale
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  191  -254.44 520.87 5(0)  4.42e-07 1.1e+04
## 
## Coefficients:
##                          Estimate Std. Error z value   Pr(>|z|)    
## PC1_SDS                    0.1785     0.0349    5.12 0.00000031 ***
## Tightness_adjusted_scale   1.5734     0.6368    2.47      0.013 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2    0.602      1.321    0.46
## 2|3    2.306      1.305    1.77
## 3|4    4.272      1.338    3.19
## 4|5    6.324      1.385    4.57
## (76 observations deleted due to missingness)

National Access

## formula: access_national ~ PC1_SDS + Tightness_adjusted_scale
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  192  -237.91 487.82 6(0)  2.53e-10 1.1e+04
## 
## Coefficients:
##                          Estimate Std. Error z value  Pr(>|z|)    
## PC1_SDS                    0.1543     0.0338    4.57 0.0000049 ***
## Tightness_adjusted_scale   0.5165     0.6414    0.81      0.42    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2  -2.5690     1.3943   -1.84
## 2|3  -0.0593     1.3301   -0.04
## 3|4   1.8418     1.3373    1.38
## 4|5   4.3818     1.3797    3.18
## (75 observations deleted due to missingness)

National Quality

## formula: quality_national ~ PC1_SDS + Tightness_adjusted_scale
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  191  -227.30 466.61 6(0)  8.91e-11 1.0e+04
## 
## Coefficients:
##                          Estimate Std. Error z value     Pr(>|z|)    
## PC1_SDS                    0.2115     0.0362    5.84 0.0000000051 ***
## Tightness_adjusted_scale   1.4680     0.6480    2.27        0.023 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2   -0.483      1.380   -0.35
## 2|3    1.671      1.329    1.26
## 3|4    3.907      1.355    2.88
## 4|5    6.515      1.418    4.60
## (76 observations deleted due to missingness)

Tightness Results (Moderation)

Challenge (Binary)

## 
## Call:
## glm(formula = challengebin ~ PC1_SDS * Tightness_adjusted_scale, 
##     family = "binomial", data = ejcdata)
## 
## Coefficients:
##                                  Estimate Std. Error z value Pr(>|z|)  
## (Intercept)                       3.90365    2.21501    1.76    0.078 .
## PC1_SDS                          -0.03915    0.90960   -0.04    0.966  
## Tightness_adjusted_scale         -1.20348    1.00019   -1.20    0.229  
## PC1_SDS:Tightness_adjusted_scale  0.00483    0.42554    0.01    0.991  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 191.48  on 192  degrees of freedom
## Residual deviance: 189.74  on 189  degrees of freedom
##   (74 observations deleted due to missingness)
## AIC: 197.7
## 
## Number of Fisher Scoring iterations: 4

Challenge (Sum)

## 
## Call:
## lm(formula = challenge_sum ~ PC1_SDS * Tightness_adjusted_scale, 
##     data = ejcdata)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -1.4265 -0.3821  0.0272  0.6380  2.0430 
## 
## Coefficients:
##                                  Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                         2.511      0.659    3.81  0.00019 ***
## PC1_SDS                            -0.234      0.285   -0.82  0.41266    
## Tightness_adjusted_scale           -0.619      0.301   -2.06  0.04104 *  
## PC1_SDS:Tightness_adjusted_scale    0.114      0.133    0.85  0.39449    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.83 on 189 degrees of freedom
##   (74 observations deleted due to missingness)
## Multiple R-squared:  0.0377, Adjusted R-squared:  0.0224 
## F-statistic: 2.47 on 3 and 189 DF,  p-value: 0.0633

Challenge (Quality)

## 
## Call:
## glm(formula = challenge_quality ~ PC1_SDS * Tightness_adjusted_scale, 
##     family = "binomial", data = ejcdata)
## 
## Coefficients:
##                                  Estimate Std. Error z value Pr(>|z|)
## (Intercept)                         2.691      1.890    1.42     0.15
## PC1_SDS                            -0.317      0.792   -0.40     0.69
## Tightness_adjusted_scale           -0.773      0.856   -0.90     0.37
## PC1_SDS:Tightness_adjusted_scale    0.132      0.371    0.36     0.72
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 226.89  on 192  degrees of freedom
## Residual deviance: 225.71  on 189  degrees of freedom
##   (74 observations deleted due to missingness)
## AIC: 233.7
## 
## Number of Fisher Scoring iterations: 4

Challenge (Ethical)

## 
## Call:
## glm(formula = challenge_ethical ~ PC1_SDS * Tightness_adjusted_scale, 
##     family = "binomial", data = ejcdata)
## 
## Coefficients:
##                                  Estimate Std. Error z value Pr(>|z|)
## (Intercept)                         0.880      2.097    0.42     0.67
## PC1_SDS                            -0.366      0.938   -0.39     0.70
## Tightness_adjusted_scale           -1.277      0.977   -1.31     0.19
## PC1_SDS:Tightness_adjusted_scale    0.178      0.442    0.40     0.69
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 159.83  on 192  degrees of freedom
## Residual deviance: 157.50  on 189  degrees of freedom
##   (74 observations deleted due to missingness)
## AIC: 165.5
## 
## Number of Fisher Scoring iterations: 4

Challenge (Reliability)

## 
## Call:
## glm(formula = challenge_reliability ~ PC1_SDS * Tightness_adjusted_scale, 
##     family = "binomial", data = ejcdata)
## 
## Coefficients:
##                                  Estimate Std. Error z value Pr(>|z|)  
## (Intercept)                         2.514      1.701    1.48    0.140  
## PC1_SDS                            -0.729      0.736   -0.99    0.322  
## Tightness_adjusted_scale           -1.584      0.790   -2.00    0.045 *
## PC1_SDS:Tightness_adjusted_scale    0.383      0.347    1.10    0.271  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 242.33  on 192  degrees of freedom
## Residual deviance: 228.36  on 189  degrees of freedom
##   (74 observations deleted due to missingness)
## AIC: 236.4
## 
## Number of Fisher Scoring iterations: 4

Local Access

## formula: access_local ~ PC1_SDS * Tightness_adjusted_scale
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  192  -234.50 483.00 6(0)  1.03e-10 6.9e+04
## 
## Coefficients:
##                                  Estimate Std. Error z value Pr(>|z|)
## PC1_SDS                             0.455      0.666    0.68     0.49
## Tightness_adjusted_scale            0.656      0.678    0.97     0.33
## PC1_SDS:Tightness_adjusted_scale   -0.128      0.312   -0.41     0.68
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2    -1.50       1.52   -0.99
## 2|3     1.06       1.49    0.72
## 3|4     3.10       1.51    2.06
## 4|5     5.41       1.57    3.45
## (75 observations deleted due to missingness)

Local Quality

## formula: quality_local ~ PC1_SDS * Tightness_adjusted_scale
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  191  -252.46 518.92 6(0)  4.60e-14 7.4e+04
## 
## Coefficients:
##                                  Estimate Std. Error z value Pr(>|z|)   
## PC1_SDS                             1.460      0.650    2.25   0.0247 * 
## Tightness_adjusted_scale            2.058      0.688    2.99   0.0028 **
## PC1_SDS:Tightness_adjusted_scale   -0.600      0.304   -1.98   0.0481 * 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2     2.00       1.50    1.33
## 2|3     3.72       1.50    2.48
## 3|4     5.71       1.54    3.72
## 4|5     7.78       1.58    4.92
## (76 observations deleted due to missingness)
## JOHNSON-NEYMAN INTERVAL 
## 
## When Tightness_adjusted_scale is OUTSIDE the interval [2.24, 26.45], the slope of PC1_SDS is p < .05.
## 
## Note: The range of observed values of Tightness_adjusted_scale is [1.48, 2.36]
## 
## SIMPLE SLOPES ANALYSIS 
## 
## Slope of PC1_SDS when Tightness_adjusted_scale = 1.78 (- 1 SD): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.19   0.06     3.31   0.00
## 
## Slope of PC1_SDS when Tightness_adjusted_scale = 2.02 (Mean): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.11   0.02     4.79   0.00
## 
## Slope of PC1_SDS when Tightness_adjusted_scale = 2.26 (+ 1 SD): 
## 
##   Est.   S.E.   t val.      p
## ------ ------ -------- ------
##   0.04   0.03     1.50   0.14

National Access

## formula: access_national ~ PC1_SDS * Tightness_adjusted_scale
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  192  -237.01 488.02 6(0)  5.32e-10 7.1e+04
## 
## Coefficients:
##                                  Estimate Std. Error z value Pr(>|z|)
## PC1_SDS                             1.029      0.654    1.57     0.12
## Tightness_adjusted_scale            0.808      0.677    1.19     0.23
## PC1_SDS:Tightness_adjusted_scale   -0.410      0.306   -1.34     0.18
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2   -1.684      1.536   -1.10
## 2|3    0.822      1.480    0.56
## 3|4    2.732      1.492    1.83
## 4|5    5.290      1.536    3.44
## (75 observations deleted due to missingness)

National Quality

## formula: quality_national ~ PC1_SDS * Tightness_adjusted_scale
## data:    ejcdata
## 
##  link  threshold nobs logLik  AIC    niter max.grad cond.H 
##  logit flexible  191  -226.58 467.16 6(0)  1.97e-10 6.9e+04
## 
## Coefficients:
##                                  Estimate Std. Error z value Pr(>|z|)  
## PC1_SDS                             1.000      0.656    1.52    0.128  
## Tightness_adjusted_scale            1.750      0.690    2.54    0.011 *
## PC1_SDS:Tightness_adjusted_scale   -0.370      0.307   -1.20    0.229  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Threshold coefficients:
##     Estimate Std. Error z value
## 1|2    0.349      1.541    0.23
## 2|3    2.503      1.498    1.67
## 3|4    4.749      1.529    3.11
## 4|5    7.369      1.589    4.64
## (76 observations deleted due to missingness)