Varieties of deprivation S1 (post-vignette)

Effect of condition on DVs post-vignette

Blame

Q10: To what extent do you think Kevin deserves to be blamed for his criminal behavior?

[0=Not at all, …, 6=Extremely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	blame	70	4.871	1.115	0.133	0.266
mat_low	emo_high	blame	69	5.406	1.019	0.123	0.245
mat_high	emo_low	blame	68	5.147	1.026	0.124	0.248
mat_high	emo_high	blame	68	5.632	1.021	0.124	0.247

mat_sec	variable	n	mean	sd	se	ci
mat_low	blame	139	5.137	1.098	0.093	0.184
mat_high	blame	136	5.390	1.048	0.090	0.178

emo_sec	variable	n	mean	sd	se	ci
emo_low	blame	138	5.007	1.077	0.092	0.181
emo_high	blame	137	5.518	1.023	0.087	0.173

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: blame
##                  Df  Sum Sq Mean Sq F value   Pr(>F)    
## mat_sec           1   4.401  4.4006  4.0178  0.04602 *  
## emo_sec           1  17.888 17.8883 16.3323 6.93e-05 ***
## mat_sec:emo_sec   1   0.041  0.0414  0.0378  0.84602    
## Residuals       271 296.819  1.0953                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.01 | [0.00, 1.00]
## emo_sec         |           0.06 | [0.02, 1.00]
## mat_sec:emo_sec |       1.39e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.12 | [0.01, Inf]
## emo_sec         |                0.25 | [0.14, Inf]
## mat_sec:emo_sec |                0.01 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: blame
##            Df  Sum Sq Mean Sq F value  Pr(>F)  
## mat_sec     1   4.401  4.4006  3.8169 0.05176 .
## Residuals 273 314.748  1.1529                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: blame
##            Df  Sum Sq Mean Sq F value   Pr(>F)    
## emo_sec     1  17.952 17.9520  16.271 7.13e-05 ***
## Residuals 273 301.197  1.1033                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.0038	**	0.0075	**	-0.5000	-0.90	-0.16	moderate
mat_high	emo_low	emo_high	68	68	0.0065	**	0.0075	**	-0.4742	-0.95	-0.14	small
emo_low	mat_low	mat_high	70	68	0.1330	ns	0.2660	ns	-0.2570	-0.58	0.11	small
emo_high	mat_low	mat_high	69	68	0.1960	ns	0.2660	ns	-0.2221	-0.62	0.10	small

punishment

Q11: The maximum sentence for the crimes that Kevin committed is 10 years. How many years in prison do you think Kevin deserves?

[Years in Prison: 0 to 10]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	punishment	70	5.071	2.866	0.343	0.683
mat_low	emo_high	punishment	69	5.391	3.145	0.379	0.755
mat_high	emo_low	punishment	68	5.176	3.412	0.414	0.826
mat_high	emo_high	punishment	68	6.118	2.940	0.357	0.712

mat_sec	variable	n	mean	sd	se	ci
mat_low	punishment	139	5.230	3.001	0.255	0.503
mat_high	punishment	136	5.647	3.208	0.275	0.544

emo_sec	variable	n	mean	sd	se	ci
emo_low	punishment	138	5.123	3.136	0.267	0.528
emo_high	punishment	137	5.752	3.055	0.261	0.516

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: punishment
##                  Df  Sum Sq Mean Sq F value  Pr(>F)  
## mat_sec           1   11.94 11.9444  1.2459 0.26532  
## emo_sec           1   27.04 27.0394  2.8205 0.09422 .
## mat_sec:emo_sec   1    6.63  6.6337  0.6920 0.40623  
## Residuals       271 2598.02  9.5868                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |       4.58e-03 | [0.00, 1.00]
## emo_sec         |           0.01 | [0.00, 1.00]
## mat_sec:emo_sec |       2.55e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.07 | [0.00, Inf]
## emo_sec         |                0.10 | [0.00, Inf]
## mat_sec:emo_sec |                0.05 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: punishment
##            Df  Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1   11.94 11.9444  1.2391 0.2666
## Residuals 273 2631.69  9.6399               
## 
## $output5
## Analysis of Variance Table
## 
## Response: punishment
##            Df  Sum Sq Mean Sq F value  Pr(>F)  
## emo_sec     1   27.17 27.1685  2.8347 0.09339 .
## Residuals 273 2616.47  9.5841                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.5320	ns	0.5320	ns	-0.1064	-0.48	0.2200	negligible
mat_high	emo_low	emo_high	68	68	0.0871	ns	0.1742	ns	-0.2955	-0.67	0.0052	small
emo_low	mat_low	mat_high	70	68	0.8450	ns	0.8450	ns	-0.0334	-0.37	0.3200	negligible
emo_high	mat_low	mat_high	69	68	0.1650	ns	0.3300	ns	-0.2386	-0.59	0.1000	small

surprise

Q12: To what extent are you surprised to learn of Kevin’s criminal behavior?

[0=Not at all, …, 6=Extremely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	surprise	70	1.929	1.554	0.186	0.371
mat_low	emo_high	surprise	69	4.783	1.523	0.183	0.366
mat_high	emo_low	surprise	68	2.338	2.120	0.257	0.513
mat_high	emo_high	surprise	68	4.662	1.532	0.186	0.371

mat_sec	variable	n	mean	sd	se	ci
mat_low	surprise	139	3.345	2.098	0.178	0.352
mat_high	surprise	136	3.500	2.181	0.187	0.370

emo_sec	variable	n	mean	sd	se	ci
emo_low	surprise	138	2.130	1.859	0.158	0.313
emo_high	surprise	137	4.723	1.523	0.130	0.257

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: surprise
##                  Df Sum Sq Mean Sq  F value Pr(>F)    
## mat_sec           1   1.64    1.64   0.5693 0.4512    
## emo_sec           1 461.76  461.76 159.8551 <2e-16 ***
## mat_sec:emo_sec   1   4.84    4.84   1.6743 0.1968    
## Residuals       271 782.82    2.89                    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |       2.10e-03 | [0.00, 1.00]
## emo_sec         |           0.37 | [0.30, 1.00]
## mat_sec:emo_sec |       6.14e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.05 | [0.00, Inf]
## emo_sec         |                0.77 | [0.65, Inf]
## mat_sec:emo_sec |                0.08 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: surprise
##            Df  Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1    1.64  1.6446  0.3594 0.5494
## Residuals 273 1249.42  4.5766               
## 
## $output5
## Analysis of Variance Table
## 
## Response: surprise
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 461.96  461.96  159.82 < 2.2e-16 ***
## Residuals 273 789.11    2.89                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.000	****	0.000	****	-1.8548	-2.53	-1.38	large
mat_high	emo_low	emo_high	68	68	0.000	****	0.000	****	-1.2562	-1.78	-0.86	large
emo_low	mat_low	mat_high	70	68	0.197	ns	0.394	ns	-0.2209	-0.56	0.13	small
emo_high	mat_low	mat_high	69	68	0.644	ns	0.644	ns	0.0791	-0.24	0.42	negligible

sympathy

Q13: To what extent do you feel sympathy for Kevin?

[0=Not at all, …, 6=Extremely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	sympathy	70	3.343	1.483	0.177	0.354
mat_low	emo_high	sympathy	69	1.942	1.542	0.186	0.371
mat_high	emo_low	sympathy	68	2.838	1.617	0.196	0.391
mat_high	emo_high	sympathy	68	1.338	1.512	0.183	0.366

mat_sec	variable	n	mean	sd	se	ci
mat_low	sympathy	139	2.647	1.663	0.141	0.279
mat_high	sympathy	136	2.088	1.732	0.149	0.294

emo_sec	variable	n	mean	sd	se	ci
emo_low	sympathy	138	3.094	1.566	0.133	0.264
emo_high	sympathy	137	1.642	1.552	0.133	0.262

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: sympathy
##                  Df Sum Sq Mean Sq F value    Pr(>F)    
## mat_sec           1  21.50  21.499  9.0756  0.002835 ** 
## emo_sec           1 144.52 144.518 61.0056 1.254e-13 ***
## mat_sec:emo_sec   1   0.17   0.169  0.0713  0.789589    
## Residuals       271 641.98   2.369                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.03 | [0.01, 1.00]
## emo_sec         |           0.18 | [0.12, 1.00]
## mat_sec:emo_sec |       2.63e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.18 | [0.08, Inf]
## emo_sec         |                0.47 | [0.37, Inf]
## mat_sec:emo_sec |                0.02 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: sympathy
##            Df Sum Sq Mean Sq F value   Pr(>F)   
## mat_sec     1  21.50 21.4995   7.461 0.006716 **
## Residuals 273 786.67  2.8816                    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: sympathy
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 144.92 144.917  59.649 2.161e-13 ***
## Residuals 273 663.25   2.429                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.0000	****	0.0000	****	0.9260	0.550	1.33	large
mat_high	emo_low	emo_high	68	68	0.0000	****	0.0000	****	0.9581	0.630	1.38	large
emo_low	mat_low	mat_high	70	68	0.0581	ns	0.0581	ns	0.3254	-0.009	0.67	small
emo_high	mat_low	mat_high	69	68	0.0222	*	0.0444	*	0.3953	0.070	0.75	small

SE1

Q14: Self-expression 1: To what extent do you think Kevin’s criminal behavior reflects the sort of person he is, morally speaking?

[0=Not at all, …, 6=Extremely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SE1	70	3.657	1.403	0.168	0.334
mat_low	emo_high	SE1	69	3.841	1.578	0.190	0.379
mat_high	emo_low	SE1	68	3.912	1.255	0.152	0.304
mat_high	emo_high	SE1	68	4.471	1.344	0.163	0.325

mat_sec	variable	n	mean	sd	se	ci
mat_low	SE1	139	3.748	1.490	0.126	0.250
mat_high	SE1	136	4.191	1.325	0.114	0.225

emo_sec	variable	n	mean	sd	se	ci
emo_low	SE1	138	3.783	1.333	0.113	0.224
emo_high	SE1	137	4.153	1.495	0.128	0.253

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SE1
##                  Df Sum Sq Mean Sq F value   Pr(>F)   
## mat_sec           1  13.49 13.4890  6.8786 0.009217 **
## emo_sec           1   9.37  9.3653  4.7758 0.029719 * 
## mat_sec:emo_sec   1   2.42  2.4216  1.2349 0.267441   
## Residuals       271 531.43  1.9610                    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.02 | [0.00, 1.00]
## emo_sec         |           0.02 | [0.00, 1.00]
## mat_sec:emo_sec |       4.54e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.16 | [0.06, Inf]
## emo_sec         |                0.13 | [0.03, Inf]
## mat_sec:emo_sec |                0.07 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SE1
##            Df Sum Sq Mean Sq F value   Pr(>F)   
## mat_sec     1  13.49 13.4890  6.7791 0.009728 **
## Residuals 273 543.22  1.9898                    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: SE1
##            Df Sum Sq Mean Sq F value  Pr(>F)  
## emo_sec     1   9.45  9.4462  4.7122 0.03081 *
## Residuals 273 547.26  2.0046                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.4700	ns	0.4700	ns	-0.1229	-0.46	0.20	negligible
mat_high	emo_low	emo_high	68	68	0.0134	*	0.0268	*	-0.4299	-0.79	-0.12	small
emo_low	mat_low	mat_high	70	68	0.2640	ns	0.2640	ns	-0.1912	-0.54	0.16	negligible
emo_high	mat_low	mat_high	69	68	0.0131	*	0.0262	*	-0.4297	-0.77	-0.08	small

SE2

Q15: Self-expression 2: To what extent do you think Kevin’s criminal behavior is indicative of his moral character? [0=Not at all, …, 6=Extremely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SE2	70	3.671	1.282	0.153	0.306
mat_low	emo_high	SE2	69	4.101	1.516	0.183	0.364
mat_high	emo_low	SE2	68	3.941	1.145	0.139	0.277
mat_high	emo_high	SE2	68	4.515	1.252	0.152	0.303

mat_sec	variable	n	mean	sd	se	ci
mat_low	SE2	139	3.885	1.415	0.120	0.237
mat_high	SE2	136	4.228	1.229	0.105	0.208

emo_sec	variable	n	mean	sd	se	ci
emo_low	SE2	138	3.804	1.219	0.104	0.205
emo_high	SE2	137	4.307	1.401	0.120	0.237

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SE2
##                  Df Sum Sq Mean Sq F value   Pr(>F)   
## mat_sec           1   8.09  8.0897  4.7403 0.030327 * 
## emo_sec           1  17.26 17.2555 10.1111 0.001645 **
## mat_sec:emo_sec   1   0.35  0.3539  0.2074 0.649188   
## Residuals       271 462.48  1.7066                    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.02 | [0.00, 1.00]
## emo_sec         |           0.04 | [0.01, 1.00]
## mat_sec:emo_sec |       7.65e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.13 | [0.03, Inf]
## emo_sec         |                0.19 | [0.09, Inf]
## mat_sec:emo_sec |                0.03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SE2
##            Df Sum Sq Mean Sq F value  Pr(>F)  
## mat_sec     1   8.09  8.0897  4.6001 0.03285 *
## Residuals 273 480.09  1.7586                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: SE2
##            Df Sum Sq Mean Sq F value   Pr(>F)   
## emo_sec     1  17.34 17.3403  10.054 0.001693 **
## Residuals 273 470.84  1.7247                    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.0730	ns	0.0730	ns	-0.3065	-0.67	0.03	small
mat_high	emo_low	emo_high	68	68	0.0061	**	0.0121	*	-0.4782	-0.84	-0.15	small
emo_low	mat_low	mat_high	70	68	0.1950	ns	0.1950	ns	-0.2218	-0.58	0.11	small
emo_high	mat_low	mat_high	69	68	0.0844	ns	0.1688	ns	-0.2971	-0.62	0.03	small

SE3

Q16: Self-expression 3: To what extent do you think Kevin’s criminal behavior reflects the circumstances in which he grew up?

[0=Not at all, …, 6=Extremely]

Note: This variable has been reverse coded.

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SE3	70	1.414	0.970	0.116	0.231
mat_low	emo_high	SE3	69	3.797	1.290	0.155	0.310
mat_high	emo_low	SE3	68	1.647	1.336	0.162	0.323
mat_high	emo_high	SE3	68	4.647	1.572	0.191	0.380

mat_sec	variable	n	mean	sd	se	ci
mat_low	SE3	139	2.597	1.649	0.140	0.277
mat_high	SE3	136	3.147	2.092	0.179	0.355

emo_sec	variable	n	mean	sd	se	ci
emo_low	SE3	138	1.529	1.166	0.099	0.196
emo_high	SE3	137	4.219	1.494	0.128	0.252

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SE3
##                  Df Sum Sq Mean Sq  F value    Pr(>F)    
## mat_sec           1  20.79   20.79  12.1631 0.0005686 ***
## emo_sec           1 496.75  496.75 290.6249 < 2.2e-16 ***
## mat_sec:emo_sec   1   6.55    6.55   3.8298 0.0513754 .  
## Residuals       271 463.20    1.71                       
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.04 | [0.01, 1.00]
## emo_sec         |           0.52 | [0.45, 1.00]
## mat_sec:emo_sec |           0.01 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.21 | [0.11, Inf]
## emo_sec         |                1.04 | [0.91, Inf]
## mat_sec:emo_sec |                0.12 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SE3
##            Df Sum Sq Mean Sq F value  Pr(>F)  
## mat_sec     1  20.79 20.7896  5.8723 0.01603 *
## Residuals 273 966.50  3.5403                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: SE3
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 497.47  497.47  277.27 < 2.2e-16 ***
## Residuals 273 489.81    1.79                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.0000	****	0.0000	****	-2.0896	-2.54	-1.71	large
mat_high	emo_low	emo_high	68	68	0.0000	****	0.0000	****	-2.0569	-2.71	-1.58	large
emo_low	mat_low	mat_high	70	68	0.2430	ns	0.2430	ns	-0.1998	-0.53	0.12	negligible
emo_high	mat_low	mat_high	69	68	0.0007	***	0.0014	**	-0.5916	-0.99	-0.24	moderate

Composite DV selfExpr3

SE1, SE2, and SE3

Composite & summary

## 
## Cronbach's alpha for the 'dfselfExpr3' data-set
## 
## Items: 3
## Sample units: 275
## alpha: 0.626
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.518 0.709

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	selfExpr3	70	2.914	0.944	0.113	0.225
mat_low	emo_high	selfExpr3	69	3.913	1.185	0.143	0.285
mat_high	emo_low	selfExpr3	68	3.167	0.963	0.117	0.233
mat_high	emo_high	selfExpr3	68	4.544	0.910	0.110	0.220

mat_sec	variable	n	mean	sd	se	ci
mat_low	selfExpr3	139	3.410	1.178	0.1	0.198
mat_high	selfExpr3	136	3.855	1.162	0.1	0.197

emo_sec	variable	n	mean	sd	se	ci
emo_low	selfExpr3	138	3.039	0.958	0.082	0.161
emo_high	selfExpr3	137	4.226	1.100	0.094	0.186

Composite DV selfExpr2

Only SE1 and SE2

Composite & summary

## 
## Cronbach's alpha for the 'dfselfExpr2' data-set
## 
## Items: 2
## Sample units: 275
## alpha: 0.915
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.880 0.939

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	selfExpr2	70	3.664	1.293	0.155	0.308
mat_low	emo_high	selfExpr2	69	3.971	1.477	0.178	0.355
mat_high	emo_low	selfExpr2	68	3.926	1.160	0.141	0.281
mat_high	emo_high	selfExpr2	68	4.493	1.238	0.150	0.300

mat_sec	variable	n	mean	sd	se	ci
mat_low	selfExpr2	139	3.817	1.391	0.118	0.233
mat_high	selfExpr2	136	4.210	1.229	0.105	0.208

emo_sec	variable	n	mean	sd	se	ci
emo_low	selfExpr2	138	3.793	1.232	0.105	0.207
emo_high	selfExpr2	137	4.230	1.384	0.118	0.234

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: selfExpr2
##                  Df Sum Sq Mean Sq F value  Pr(>F)   
## mat_sec           1  10.62 10.6178  6.3007 0.01265 * 
## emo_sec           1  13.01 13.0113  7.7211 0.00584 **
## mat_sec:emo_sec   1   1.16  1.1568  0.6864 0.40811   
## Residuals       271 456.68  1.6852                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.02 | [0.00, 1.00]
## emo_sec         |           0.03 | [0.00, 1.00]
## mat_sec:emo_sec |       2.53e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.15 | [0.05, Inf]
## emo_sec         |                0.17 | [0.07, Inf]
## mat_sec:emo_sec |                0.05 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: selfExpr2
##            Df Sum Sq Mean Sq F value Pr(>F)  
## mat_sec     1  10.62 10.6178  6.1562 0.0137 *
## Residuals 273 470.85  1.7247                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: selfExpr2
##            Df Sum Sq Mean Sq F value  Pr(>F)   
## emo_sec     1  13.10 13.0958  7.6332 0.00612 **
## Residuals 273 468.37  1.7156                   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.1950	ns	0.1950	ns	-0.2210	-0.57	0.12	small
mat_high	emo_low	emo_high	68	68	0.0068	**	0.0135	*	-0.4719	-0.85	-0.14	small
emo_low	mat_low	mat_high	70	68	0.2120	ns	0.2120	ns	-0.2133	-0.55	0.13	small
emo_high	mat_low	mat_high	69	68	0.0269	*	0.0538	ns	-0.3824	-0.71	-0.05	small

SFC1

Q17: Self-formative control 1: To what extent do you think Kevin freely chose to become the kind of person he is?

[0=Not at all, …, 6=Extremely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SFC1	70	3.186	1.376	0.164	0.328
mat_low	emo_high	SFC1	69	4.478	1.196	0.144	0.287
mat_high	emo_low	SFC1	68	3.294	1.536	0.186	0.372
mat_high	emo_high	SFC1	68	4.603	1.447	0.175	0.350

mat_sec	variable	n	mean	sd	se	ci
mat_low	SFC1	139	3.827	1.439	0.122	0.241
mat_high	SFC1	136	3.949	1.625	0.139	0.276

emo_sec	variable	n	mean	sd	se	ci
emo_low	SFC1	138	3.239	1.453	0.124	0.245
emo_high	SFC1	137	4.540	1.323	0.113	0.224

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SFC1
##                  Df Sum Sq Mean Sq F value    Pr(>F)    
## mat_sec           1   1.01   1.010  0.5200    0.4715    
## emo_sec           1 116.29 116.291 59.8914 1.992e-13 ***
## mat_sec:emo_sec   1   0.00   0.005  0.0023    0.9614    
## Residuals       271 526.20   1.942                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |       1.92e-03 | [0.00, 1.00]
## emo_sec         |           0.18 | [0.12, 1.00]
## mat_sec:emo_sec |       8.65e-06 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.04 | [0.00, Inf]
## emo_sec         |                0.47 | [0.36, Inf]
## mat_sec:emo_sec |            2.94e-03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SFC1
##            Df Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1   1.01  1.0096   0.429  0.513
## Residuals 273 642.50  2.3535               
## 
## $output5
## Analysis of Variance Table
## 
## Response: SFC1
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 116.37 116.368  60.266 1.672e-13 ***
## Residuals 273 527.14   1.931                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.000	****	0	****	-1.0024	-1.39	-0.66	large
mat_high	emo_low	emo_high	68	68	0.000	****	0	****	-0.8771	-1.27	-0.51	large
emo_low	mat_low	mat_high	70	68	0.663	ns	1	ns	-0.0744	-0.40	0.26	negligible
emo_high	mat_low	mat_high	69	68	0.583	ns	1	ns	-0.0940	-0.46	0.24	negligible

SFC2

Q18: Self-formative control 2: To what extent do you think Kevin was able to choose the moral character that he has?

[0=Not at all, …, 6=Extremely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SFC2	70	3.414	1.313	0.157	0.313
mat_low	emo_high	SFC2	69	4.449	1.290	0.155	0.310
mat_high	emo_low	SFC2	68	3.824	1.326	0.161	0.321
mat_high	emo_high	SFC2	68	4.662	1.431	0.174	0.346

mat_sec	variable	n	mean	sd	se	ci
mat_low	SFC2	139	3.928	1.397	0.118	0.234
mat_high	SFC2	136	4.243	1.438	0.123	0.244

emo_sec	variable	n	mean	sd	se	ci
emo_low	SFC2	138	3.616	1.331	0.113	0.224
emo_high	SFC2	137	4.555	1.361	0.116	0.230

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SFC2
##                  Df Sum Sq Mean Sq F value    Pr(>F)    
## mat_sec           1   6.80   6.803  3.7845   0.05276 .  
## emo_sec           1  60.45  60.447 33.6256 1.856e-08 ***
## mat_sec:emo_sec   1   0.67   0.665  0.3701   0.54347    
## Residuals       271 487.16   1.798                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.01 | [0.00, 1.00]
## emo_sec         |           0.11 | [0.06, 1.00]
## mat_sec:emo_sec |       1.36e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.12 | [0.00, Inf]
## emo_sec         |                0.35 | [0.25, Inf]
## mat_sec:emo_sec |                0.04 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SFC2
##            Df Sum Sq Mean Sq F value  Pr(>F)  
## mat_sec     1   6.80  6.8031  3.3875 0.06678 .
## Residuals 273 548.27  2.0083                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: SFC2
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1  60.59  60.592  33.452 1.995e-08 ***
## Residuals 273 494.48   1.811                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.0000	****	0.0000	****	-0.7952	-1.20	-0.44	moderate
mat_high	emo_low	emo_high	68	68	0.0005	***	0.0005	***	-0.6075	-1.01	-0.28	moderate
emo_low	mat_low	mat_high	70	68	0.0708	ns	0.1416	ns	-0.3101	-0.67	0.05	small
emo_high	mat_low	mat_high	69	68	0.3630	ns	0.3630	ns	-0.1561	-0.51	0.17	negligible

SFC3

Q19: Self-formative control 3: To what extent do you think Kevin could have decided to become a different kind of person?

[0=Not at all, …, 6=Extremely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SFC3	70	4.129	1.227	0.147	0.293
mat_low	emo_high	SFC3	69	4.710	1.330	0.160	0.319
mat_high	emo_low	SFC3	68	4.309	1.341	0.163	0.325
mat_high	emo_high	SFC3	68	4.941	1.292	0.157	0.313

mat_sec	variable	n	mean	sd	se	ci
mat_low	SFC3	139	4.417	1.307	0.111	0.219
mat_high	SFC3	136	4.625	1.350	0.116	0.229

emo_sec	variable	n	mean	sd	se	ci
emo_low	SFC3	138	4.217	1.283	0.109	0.216
emo_high	SFC3	137	4.825	1.311	0.112	0.222

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SFC3
##                  Df Sum Sq Mean Sq F value   Pr(>F)    
## mat_sec           1   2.97  2.9664  1.7617 0.185531    
## emo_sec           1  25.30 25.3041 15.0275 0.000133 ***
## mat_sec:emo_sec   1   0.04  0.0443  0.0263 0.871252    
## Residuals       271 456.33  1.6839                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |       6.46e-03 | [0.00, 1.00]
## emo_sec         |           0.05 | [0.02, 1.00]
## mat_sec:emo_sec |       9.71e-05 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.08 | [0.00, Inf]
## emo_sec         |                0.24 | [0.13, Inf]
## mat_sec:emo_sec |            9.85e-03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SFC3
##            Df Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1   2.97  2.9664  1.6813 0.1958
## Residuals 273 481.67  1.7644               
## 
## $output5
## Analysis of Variance Table
## 
## Response: SFC3
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1  25.37 25.3661  15.078 0.0001295 ***
## Residuals 273 459.27  1.6823                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.0082	**	0.0117	*	-0.4548	-0.83	-0.12	small
mat_high	emo_low	emo_high	68	68	0.0059	**	0.0117	*	-0.4803	-0.85	-0.14	small
emo_low	mat_low	mat_high	70	68	0.4110	ns	0.6080	ns	-0.1403	-0.49	0.18	negligible
emo_high	mat_low	mat_high	69	68	0.3040	ns	0.6080	ns	-0.1762	-0.53	0.14	negligible

SFC4

Q20: Self-formative control 4: To what extent do you think Kevin’s character was determined by the circumstances in which he grew up?

[0=Not at all, …, 6=Extremely]

Note: This variable has been reverse coded.

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SFC4	70	1.743	1.138	0.136	0.271
mat_low	emo_high	SFC4	69	3.594	1.287	0.155	0.309
mat_high	emo_low	SFC4	68	1.912	1.313	0.159	0.318
mat_high	emo_high	SFC4	68	4.029	1.476	0.179	0.357

mat_sec	variable	n	mean	sd	se	ci
mat_low	SFC4	139	2.662	1.525	0.129	0.256
mat_high	SFC4	136	2.971	1.751	0.150	0.297

emo_sec	variable	n	mean	sd	se	ci
emo_low	SFC4	138	1.826	1.226	0.104	0.206
emo_high	SFC4	137	3.810	1.396	0.119	0.236

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SFC4
##                  Df Sum Sq Mean Sq  F value  Pr(>F)    
## mat_sec           1   6.55   6.552   3.8312 0.05133 .  
## emo_sec           1 270.35 270.351 158.0961 < 2e-16 ***
## mat_sec:emo_sec   1   1.22   1.219   0.7127 0.39930    
## Residuals       271 463.42   1.710                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.01 | [0.00, 1.00]
## emo_sec         |           0.37 | [0.30, 1.00]
## mat_sec:emo_sec |       2.62e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.12 | [0.00, Inf]
## emo_sec         |                0.76 | [0.65, Inf]
## mat_sec:emo_sec |                0.05 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SFC4
##            Df Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1   6.55  6.5516  2.4335 0.1199
## Residuals 273 734.99  2.6923               
## 
## $output5
## Analysis of Variance Table
## 
## Response: SFC4
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 270.65 270.650  156.91 < 2.2e-16 ***
## Residuals 273 470.89   1.725                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.0000	****	0.0000	****	-1.5246	-1.90	-1.20	large
mat_high	emo_low	emo_high	68	68	0.0000	****	0.0000	****	-1.5162	-1.96	-1.12	large
emo_low	mat_low	mat_high	70	68	0.4200	ns	0.4200	ns	-0.1376	-0.47	0.21	negligible
emo_high	mat_low	mat_high	69	68	0.0679	ns	0.1358	ns	-0.3145	-0.69	0.03	small

Composite DV selfFormControl4

SFC1, SFC2, SFC3, and SFC4

Composite & summary

## 
## Cronbach's alpha for the 'dfselfFormControl4' data-set
## 
## Items: 4
## Sample units: 275
## alpha: 0.817
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.777 0.850

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	selfFormControl4	70	3.118	0.921	0.110	0.219
mat_low	emo_high	selfFormControl4	69	4.308	1.012	0.122	0.243
mat_high	emo_low	selfFormControl4	68	3.335	1.090	0.132	0.264
mat_high	emo_high	selfFormControl4	68	4.559	1.091	0.132	0.264

mat_sec	variable	n	mean	sd	se	ci
mat_low	selfFormControl4	139	3.709	1.134	0.096	0.190
mat_high	selfFormControl4	136	3.947	1.248	0.107	0.212

emo_sec	variable	n	mean	sd	se	ci
emo_low	selfFormControl4	138	3.225	1.010	0.086	0.170
emo_high	selfFormControl4	137	4.432	1.056	0.090	0.178

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: selfFormControl4
##                  Df  Sum Sq Mean Sq F value  Pr(>F)    
## mat_sec           1   3.896   3.896  3.6728 0.05636 .  
## emo_sec           1 100.156 100.156 94.4249 < 2e-16 ***
## mat_sec:emo_sec   1   0.020   0.020  0.0189 0.89077    
## Residuals       271 287.449   1.061                    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.01 | [0.00, 1.00]
## emo_sec         |           0.26 | [0.19, 1.00]
## mat_sec:emo_sec |       6.97e-05 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.12 | [0.00, Inf]
## emo_sec         |                0.59 | [0.48, Inf]
## mat_sec:emo_sec |            8.35e-03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: selfFormControl4
##            Df Sum Sq Mean Sq F value  Pr(>F)  
## mat_sec     1   3.90  3.8957  2.7437 0.09879 .
## Residuals 273 387.63  1.4199                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: selfFormControl4
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 100.30 100.297  94.021 < 2.2e-16 ***
## Residuals 273 291.22   1.067                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.000	****	0.00	****	-1.2307	-1.62	-0.89	large
mat_high	emo_low	emo_high	68	68	0.000	****	0.00	****	-1.1227	-1.55	-0.75	large
emo_low	mat_low	mat_high	70	68	0.209	ns	0.33	ns	-0.2151	-0.56	0.09	small
emo_high	mat_low	mat_high	69	68	0.165	ns	0.33	ns	-0.2385	-0.64	0.09	small

Composite DV selfFormControl3

Only SFC1, SFC2, and SFC3

Composite & summary

## 
## Cronbach's alpha for the 'dfselfFormControl3' data-set
## 
## Items: 3
## Sample units: 275
## alpha: 0.862
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.824 0.891

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	selfFormControl3	70	3.576	1.071	0.128	0.255
mat_low	emo_high	selfFormControl3	69	4.546	1.143	0.138	0.275
mat_high	emo_low	selfFormControl3	68	3.809	1.228	0.149	0.297
mat_high	emo_high	selfFormControl3	68	4.735	1.255	0.152	0.304

mat_sec	variable	n	mean	sd	se	ci
mat_low	selfFormControl3	139	4.058	1.206	0.102	0.202
mat_high	selfFormControl3	136	4.272	1.321	0.113	0.224

emo_sec	variable	n	mean	sd	se	ci
emo_low	selfFormControl3	138	3.691	1.152	0.098	0.194
emo_high	selfFormControl3	137	4.640	1.199	0.102	0.203

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: selfFormControl3
##                  Df Sum Sq Mean Sq F value    Pr(>F)    
## mat_sec           1   3.16   3.163  2.2895    0.1314    
## emo_sec           1  61.83  61.826 44.7523 1.277e-10 ***
## mat_sec:emo_sec   1   0.03   0.032  0.0232    0.8789    
## Residuals       271 374.39   1.382                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |       8.38e-03 | [0.00, 1.00]
## emo_sec         |           0.14 | [0.08, 1.00]
## mat_sec:emo_sec |       8.58e-05 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.09 | [0.00, Inf]
## emo_sec         |                0.41 | [0.30, Inf]
## mat_sec:emo_sec |            9.26e-03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: selfFormControl3
##            Df Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1   3.16   3.163  1.9793 0.1606
## Residuals 273 436.25   1.598               
## 
## $output5
## Analysis of Variance Table
## 
## Response: selfFormControl3
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1  61.93  61.926  44.785 1.244e-10 ***
## Residuals 273 377.49   1.383                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.000	****	0.000	****	-0.8757	-1.28	-0.53	large
mat_high	emo_low	emo_high	68	68	0.000	****	0.000	****	-0.7465	-1.14	-0.40	moderate
emo_low	mat_low	mat_high	70	68	0.237	ns	0.474	ns	-0.2022	-0.52	0.13	small
emo_high	mat_low	mat_high	69	68	0.357	ns	0.474	ns	-0.1579	-0.49	0.19	negligible

Composite DV circumstances

SE3 and SFC4

Composite & summary

## 
## Cronbach's alpha for the 'dfcircumstances' data-set
## 
## Items: 2
## Sample units: 275
## alpha: 0.868
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.815 0.906

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	circumstances	70	1.579	0.954	0.114	0.228
mat_low	emo_high	circumstances	69	3.696	1.161	0.140	0.279
mat_high	emo_low	circumstances	68	1.779	1.232	0.149	0.298
mat_high	emo_high	circumstances	68	4.338	1.320	0.160	0.319

mat_sec	variable	n	mean	sd	se	ci
mat_low	circumstances	139	2.629	1.499	0.127	0.251
mat_high	circumstances	136	3.059	1.807	0.155	0.307

emo_sec	variable	n	mean	sd	se	ci
emo_low	circumstances	138	1.678	1.100	0.094	0.185
emo_high	circumstances	137	4.015	1.279	0.109	0.216

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: circumstances
##                  Df Sum Sq Mean Sq  F value    Pr(>F)    
## mat_sec           1  12.67   12.67   9.2097  0.002641 ** 
## emo_sec           1 375.01  375.01 272.5761 < 2.2e-16 ***
## mat_sec:emo_sec   1   3.35    3.35   2.4375  0.119635    
## Residuals       271 372.84    1.38                       
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.03 | [0.01, 1.00]
## emo_sec         |           0.50 | [0.44, 1.00]
## mat_sec:emo_sec |       8.91e-03 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA (Type I)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.18 | [0.08, Inf]
## emo_sec         |                1.00 | [0.88, Inf]
## mat_sec:emo_sec |                0.09 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: circumstances
##            Df Sum Sq Mean Sq F value  Pr(>F)  
## mat_sec     1  12.67 12.6706  4.6047 0.03277 *
## Residuals 273 751.20  2.7516                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: circumstances
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 375.50  375.50  263.95 < 2.2e-16 ***
## Residuals 273 388.37    1.42                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p	p.signif	p.adj	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	0.000	****	0.0000	****	-1.9941	-2.40	-1.67	large
mat_high	emo_low	emo_high	68	68	0.000	****	0.0000	****	-2.0043	-2.57	-1.54	large
emo_low	mat_low	mat_high	70	68	0.285	ns	0.2850	ns	-0.1826	-0.50	0.18	negligible
emo_high	mat_low	mat_high	69	68	0.003	**	0.0059	**	-0.5173	-0.92	-0.19	moderate

ANCOVA blame with covariate SES

Regular ANOVA interaction mat_sec:emo_sec

## blame ~ mat_sec * emo_sec

## Anova Table (Type II tests)
## 
## Response: blame
##                  Sum Sq  Df F value   Pr(>F)    
## mat_sec           4.337   1  3.9597  0.04761 *  
## emo_sec          17.888   1 16.3323 6.93e-05 ***
## mat_sec:emo_sec   0.041   1  0.0378  0.84602    
## Residuals       296.819 271                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

## # Effect Size for ANOVA (Type II)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |           0.01 | [0.00, 1.00]
## emo_sec         |           0.06 | [0.02, 1.00]
## mat_sec:emo_sec |       1.39e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].

## # Effect Size for ANOVA (Type II)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.12 | [0.01, Inf]
## emo_sec         |                0.25 | [0.14, Inf]
## mat_sec:emo_sec |                0.01 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

ANCOVA interaction mat_sec:emo_sec with covariate SES

## blame ~ mat_sec * emo_sec + SES

## Anova Table (Type II tests)
## 
## Response: blame
##                  Sum Sq  Df F value  Pr(>F)  
## mat_sec           0.432   1  0.4022 0.52649  
## emo_sec           4.676   1  4.3509 0.03793 *
## SES               6.673   1  6.2101 0.01330 *
## mat_sec:emo_sec   0.039   1  0.0365 0.84872  
## Residuals       290.145 270                  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

## # Effect Size for ANOVA (Type II)
## 
## Parameter       | Eta2 (partial) |       95% CI
## -----------------------------------------------
## mat_sec         |       1.49e-03 | [0.00, 1.00]
## emo_sec         |           0.02 | [0.00, 1.00]
## SES             |           0.02 | [0.00, 1.00]
## mat_sec:emo_sec |       1.35e-04 | [0.00, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].

## # Effect Size for ANOVA (Type II)
## 
## Parameter       | Cohen's f (partial) |      95% CI
## ---------------------------------------------------
## mat_sec         |                0.04 | [0.00, Inf]
## emo_sec         |                0.13 | [0.02, Inf]
## SES             |                0.15 | [0.05, Inf]
## mat_sec:emo_sec |                0.01 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

Varieties of deprivation S1 (post-vignette)

Date of study: Apr 9 2024. Last compiled on 02 February, 2025

Effect of condition on DVs post-vignette

Blame

Summary

ANOVA

Plots & Comparisons

punishment

Summary

ANOVA

Plots & Comparisons

surprise

Summary

ANOVA

Plots & Comparisons

sympathy

Summary

ANOVA

Plots & Comparisons

SE1

Summary

ANOVA

Plots & Comparisons

SE2

Summary

ANOVA

Plots & Comparisons

SE3

Summary

ANOVA

Plots & Comparisons

Composite DV selfExpr3

Composite & summary

Composite DV selfExpr2

Composite & summary

ANOVA

Plots & Comparisons

SFC1

Summary

ANOVA

Plots & Comparisons

SFC2

Summary

ANOVA

Plots & Comparisons

SFC3

Summary

ANOVA

Plots & Comparisons

SFC4

Summary

ANOVA

Plots & Comparisons

Composite DV selfFormControl4

Composite & summary

ANOVA

Plots & Comparisons

Composite DV selfFormControl3

Composite & summary

ANOVA

Plots & Comparisons

Composite DV circumstances

Composite & summary

ANOVA

Plots & Comparisons

ANCOVA blame with covariate SES