Varieties of deprivation S1 (pre-vignette)

mat_sec	emo_sec	n	percentage
mat_low	emo_low	70	25.45%
mat_low	emo_high	69	25.09%
mat_high	emo_low	68	24.73%
mat_high	emo_high	68	24.73%

mat_sec	n	percentage
mat_low	139	50.55%
mat_high	136	49.45%

emo_sec	n	percentage
emo_low	138	50.18%
emo_high	137	49.82%

mat_sec_check

mat_sec_check: material security manipulation check

Q1: To what extent do you agree with this sentence? Kevin experienced material deprivation as a child

Reverse coded to reflect material SECURITY:

[6=Strongly disagree, …, 3=Neither agree nor disagree, …, 0=Strongly agree]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	mat_sec_check	70	0.814	0.822	0.098	0.196
mat_low	emo_high	mat_sec_check	69	2.116	1.650	0.199	0.396
mat_high	emo_low	mat_sec_check	68	4.309	2.024	0.245	0.490
mat_high	emo_high	mat_sec_check	68	5.662	0.683	0.083	0.165

mat_sec	variable	n	mean	sd	se	ci
mat_low	mat_sec_check	139	1.460	1.451	0.123	0.243
mat_high	mat_sec_check	136	4.985	1.651	0.142	0.280

emo_sec	variable	n	mean	sd	se	ci
emo_low	mat_sec_check	138	2.536	2.328	0.198	0.392
emo_high	mat_sec_check	137	3.876	2.181	0.186	0.368

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: mat_sec_check
##                  Df Sum Sq Mean Sq  F value    Pr(>F)    
## mat_sec           1 854.09  854.09 430.7073 < 2.2e-16 ***
## emo_sec           1 121.06  121.06  61.0510 1.231e-13 ***
## mat_sec:emo_sec   1   0.05    0.05   0.0228    0.8801    
## Residuals       271 537.39    1.98                       
## ---
## 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         |           0.61 | [0.56, 1.00]
## emo_sec         |           0.18 | [0.12, 1.00]
## mat_sec:emo_sec |       8.41e-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         |                1.26 | [1.13, Inf]
## emo_sec         |                0.47 | [0.37, Inf]
## mat_sec:emo_sec |            9.17e-03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: mat_sec_check
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## mat_sec     1 854.09  854.09  354.09 < 2.2e-16 ***
## Residuals 273 658.50    2.41                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: mat_sec_check
##            Df  Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1  123.39 123.387  24.247 1.469e-06 ***
## Residuals 273 1389.21   5.089                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p.signif	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	****	****	-1.0010	-1.31	-0.73	large
mat_high	emo_low	emo_high	68	68	****	****	-0.8957	-1.17	-0.62	large
emo_low	mat_low	mat_high	70	68	****	****	-2.2743	-3.04	-1.72	large
emo_high	mat_low	mat_high	69	68	****	****	-2.8013	-3.78	-2.18	large

emo_sec_check

emo_sec_check: emotional security manipulation check

Q2: To what extent do you agree with this sentence? Kevin experienced emotional deprivation as a child

Reverse coded to reflect emotional SECURITY:

[6=Strongly disagree, …, 3=Neither agree nor disagree, …, 0=Strongly agree]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	emo_sec_check	70	0.357	0.743	0.089	0.177
mat_low	emo_high	emo_sec_check	69	5.043	1.265	0.152	0.304
mat_high	emo_low	emo_sec_check	68	0.324	0.701	0.085	0.170
mat_high	emo_high	emo_sec_check	68	5.471	1.014	0.123	0.246

mat_sec	variable	n	mean	sd	se	ci
mat_low	emo_sec_check	139	2.683	2.568	0.218	0.431
mat_high	emo_sec_check	136	2.897	2.725	0.234	0.462

emo_sec	variable	n	mean	sd	se	ci
emo_low	emo_sec_check	138	0.341	0.720	0.061	0.121
emo_high	emo_sec_check	137	5.255	1.163	0.099	0.197

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: emo_sec_check
##                  Df  Sum Sq Mean Sq   F value  Pr(>F)    
## mat_sec           1    3.14    3.14    3.4169 0.06562 .  
## emo_sec           1 1660.22 1660.22 1808.6148 < 2e-16 ***
## mat_sec:emo_sec   1    3.65    3.65    3.9738 0.04721 *  
## Residuals       271  248.76    0.92                      
## ---
## 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         |           0.87 | [0.85, 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         |                0.11 | [0.00, Inf]
## emo_sec         |                2.58 | [2.37, Inf]
## mat_sec:emo_sec |                0.12 | [0.01, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: emo_sec_check
##            Df  Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1    3.14  3.1365  0.4477  0.504
## Residuals 273 1912.63  7.0060               
## 
## $output5
## Analysis of Variance Table
## 
## Response: emo_sec_check
##            Df  Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 1660.72 1660.72  1777.6 < 2.2e-16 ***
## Residuals 273  255.05    0.93                      
## ---
## 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	****	-4.5250	-6.34	-3.51	large
mat_high	emo_low	emo_high	68	68	0.0000	****	0.0000	****	-5.9046	-8.72	-4.47	large
emo_low	mat_low	mat_high	70	68	0.7850	ns	0.7850	ns	0.0465	-0.30	0.37	negligible
emo_high	mat_low	mat_high	69	68	0.0311	*	0.0622	ns	-0.3722	-0.72	-0.05	small

SES1

Q3: Where on the socioeconomic spectrum do you think the adult Kevin is most likely to be?

[0=Lower class, …, 3=Middle class, …, 6=Upper class]

Summary

Summary of simulated data

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SES1	70	1.286	1.009	0.121	0.241
mat_low	emo_high	SES1	69	2.493	1.158	0.139	0.278
mat_high	emo_low	SES1	68	3.985	1.491	0.181	0.361
mat_high	emo_high	SES1	68	5.235	0.813	0.099	0.197

mat_sec	variable	n	mean	sd	se	ci
mat_low	SES1	139	1.885	1.240	0.105	0.208
mat_high	SES1	136	4.610	1.351	0.116	0.229

emo_sec	variable	n	mean	sd	se	ci
emo_low	SES1	138	2.616	1.853	0.158	0.312
emo_high	SES1	137	3.854	1.700	0.145	0.287

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SES1
##                  Df Sum Sq Mean Sq  F value Pr(>F)    
## mat_sec           1 510.60  510.60 390.0549 <2e-16 ***
## emo_sec           1 103.72  103.72  79.2326 <2e-16 ***
## mat_sec:emo_sec   1   0.03    0.03   0.0242 0.8764    
## Residuals       271 354.75    1.31                    
## ---
## 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         |           0.59 | [0.53, 1.00]
## emo_sec         |           0.23 | [0.16, 1.00]
## mat_sec:emo_sec |       8.94e-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         |                1.20 | [1.07, Inf]
## emo_sec         |                0.54 | [0.43, Inf]
## mat_sec:emo_sec |            9.46e-03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SES1
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## mat_sec     1  510.6  510.60  304.02 < 2.2e-16 ***
## Residuals 273  458.5    1.68                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: SES1
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 105.38 105.380  33.308 2.132e-08 ***
## Residuals 273 863.73   3.164                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p.signif	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	****	****	-1.1116	-1.51	-0.76	large
mat_high	emo_low	emo_high	68	68	****	****	-1.0410	-1.39	-0.75	large
emo_low	mat_low	mat_high	70	68	****	****	-2.1261	-2.76	-1.69	large
emo_high	mat_low	mat_high	69	68	****	****	-2.7377	-3.45	-2.26	large

SES2

Q4: Which of the following do you think best describes the adult Kevin’s personal finances?

[0=Very poor, …, 6=Very wealthy]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SES2	70	1.514	0.959	0.115	0.229
mat_low	emo_high	SES2	69	2.928	1.116	0.134	0.268
mat_high	emo_low	SES2	68	3.721	1.314	0.159	0.318
mat_high	emo_high	SES2	68	5.074	0.834	0.101	0.202

mat_sec	variable	n	mean	sd	se	ci
mat_low	SES2	139	2.216	1.255	0.106	0.211
mat_high	SES2	136	4.397	1.290	0.111	0.219

emo_sec	variable	n	mean	sd	se	ci
emo_low	SES2	138	2.601	1.592	0.135	0.268
emo_high	SES2	137	3.993	1.458	0.125	0.246

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SES2
##                  Df Sum Sq Mean Sq  F value Pr(>F)    
## mat_sec           1 327.06  327.06 285.5002 <2e-16 ***
## emo_sec           1 131.57  131.57 114.8561 <2e-16 ***
## mat_sec:emo_sec   1   0.06    0.06   0.0546 0.8155    
## Residuals       271 310.45    1.15                    
## ---
## 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         |           0.51 | [0.45, 1.00]
## emo_sec         |           0.30 | [0.23, 1.00]
## mat_sec:emo_sec |       2.01e-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         |                1.03 | [0.90, Inf]
## emo_sec         |                0.65 | [0.54, Inf]
## mat_sec:emo_sec |                0.01 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SES2
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## mat_sec     1 327.06  327.06  201.97 < 2.2e-16 ***
## Residuals 273 442.08    1.62                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: SES2
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 133.07  133.07  57.113 6.251e-13 ***
## Residuals 273 636.07    2.33                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p.signif	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	****	****	-1.3592	-1.82	-0.97	large
mat_high	emo_low	emo_high	68	68	****	****	-1.2293	-1.65	-0.89	large
emo_low	mat_low	mat_high	70	68	****	****	-1.9222	-2.44	-1.51	large
emo_high	mat_low	mat_high	69	68	****	****	-2.1763	-2.70	-1.75	large

Composite DV SES

Composite & summary

## 
## Cronbach's alpha for the 'dfSES' data-set
## 
## Items: 2
## Sample units: 275
## alpha: 0.934
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.910 0.953

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SES	70	1.400	0.899	0.107	0.214
mat_low	emo_high	SES	69	2.710	1.041	0.125	0.250
mat_high	emo_low	SES	68	3.853	1.319	0.160	0.319
mat_high	emo_high	SES	68	5.154	0.754	0.091	0.183

mat_sec	variable	n	mean	sd	se	ci
mat_low	SES	139	2.050	1.171	0.099	0.196
mat_high	SES	136	4.504	1.254	0.108	0.213

emo_sec	variable	n	mean	sd	se	ci
emo_low	SES	138	2.609	1.665	0.142	0.280
emo_high	SES	137	3.923	1.525	0.130	0.258

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SES
##                  Df Sum Sq Mean Sq  F value Pr(>F)    
## mat_sec           1 413.74  413.74 394.5782 <2e-16 ***
## emo_sec           1 117.23  117.23 111.8037 <2e-16 ***
## mat_sec:emo_sec   1   0.00    0.00   0.0012  0.972    
## Residuals       271 284.16    1.05                    
## ---
## 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         |           0.59 | [0.54, 1.00]
## emo_sec         |           0.29 | [0.22, 1.00]
## mat_sec:emo_sec |       4.55e-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         |                1.21 | [1.07, Inf]
## emo_sec         |                0.64 | [0.53, Inf]
## mat_sec:emo_sec |            2.13e-03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SES
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## mat_sec     1 413.74  413.74   281.4 < 2.2e-16 ***
## Residuals 273 401.40    1.47                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output5
## Analysis of Variance Table
## 
## Response: SES
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 118.82 118.822  46.586 5.661e-11 ***
## Residuals 273 696.31   2.551                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Plots & Comparisons

group	group1	group2	n1	n2	p.signif	p.adj.signif	effsize	conf.low	conf.high	Cohens’ d
mat_low	emo_low	emo_high	70	69	****	****	-1.3475	-1.77	-1.03	large
mat_high	emo_low	emo_high	68	68	****	****	-1.2114	-1.58	-0.89	large
emo_low	mat_low	mat_high	70	68	****	****	-2.1791	-2.78	-1.73	large
emo_high	mat_low	mat_high	69	68	****	****	-2.6856	-3.34	-2.20	large

aggression

Q5: How likely do you think it is that as an adult, Kevin often acts aggressively toward other people?

[0=Extremely unlikely, …, 6=Extremely likely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	aggression	70	3.657	1.089	0.130	0.260
mat_low	emo_high	aggression	69	1.348	1.412	0.170	0.339
mat_high	emo_low	aggression	68	3.912	1.432	0.174	0.347
mat_high	emo_high	aggression	68	1.618	1.372	0.166	0.332

mat_sec	variable	n	mean	sd	se	ci
mat_low	aggression	139	2.511	1.708	0.145	0.287
mat_high	aggression	136	2.765	1.810	0.155	0.307

emo_sec	variable	n	mean	sd	se	ci
emo_low	aggression	138	3.783	1.271	0.108	0.214
emo_high	aggression	137	1.482	1.394	0.119	0.235

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: aggression
##                  Df Sum Sq Mean Sq  F value Pr(>F)    
## mat_sec           1   4.43    4.43   2.4973 0.1152    
## emo_sec           1 364.25  364.25 205.2405 <2e-16 ***
## mat_sec:emo_sec   1   0.00    0.00   0.0022 0.9623    
## Residuals       271 480.95    1.77                    
## ---
## 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         |       9.13e-03 | [0.00, 1.00]
## emo_sec         |           0.43 | [0.36, 1.00]
## mat_sec:emo_sec |       8.25e-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         |                0.10 | [0.00, Inf]
## emo_sec         |                0.87 | [0.75, Inf]
## mat_sec:emo_sec |            2.87e-03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: aggression
##            Df Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1   4.43   4.432  1.4315 0.2326
## Residuals 273 845.20   3.096               
## 
## $output5
## Analysis of Variance Table
## 
## Response: aggression
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 363.95  363.95  204.58 < 2.2e-16 ***
## Residuals 273 485.68    1.78                      
## ---
## 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	****	1.8331	1.40	2.45	large
mat_high	emo_low	emo_high	68	68	0.000	****	0.000	****	1.6359	1.23	2.20	large
emo_low	mat_low	mat_high	70	68	0.241	ns	0.482	ns	-0.2005	-0.58	0.13	small
emo_high	mat_low	mat_high	69	68	0.259	ns	0.482	ns	-0.1938	-0.55	0.14	negligible

anger

Q6: How likely do you think it is that as an adult, Kevin is prone to angry outbursts?

[0=Extremely unlikely, …, 6=Extremely likely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	anger	70	4.086	1.032	0.123	0.246
mat_low	emo_high	anger	69	1.275	1.282	0.154	0.308
mat_high	emo_low	anger	68	4.294	1.235	0.150	0.299
mat_high	emo_high	anger	68	1.794	1.288	0.156	0.312

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: anger
##                  Df Sum Sq Mean Sq  F value  Pr(>F)    
## mat_sec           1   8.59    8.59   5.8409 0.01632 *  
## emo_sec           1 485.29  485.29 330.0297 < 2e-16 ***
## mat_sec:emo_sec   1   1.66    1.66   1.1257 0.28965    
## Residuals       271 398.49    1.47                     
## ---
## 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         |           0.55 | [0.49, 1.00]
## mat_sec:emo_sec |       4.14e-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         |                0.15 | [0.05, Inf]
## emo_sec         |                1.10 | [0.98, Inf]
## mat_sec:emo_sec |                0.06 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: anger
##            Df Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1   8.59  8.5887  2.6481 0.1048
## Residuals 273 885.43  3.2433               
## 
## $output5
## Analysis of Variance Table
## 
## Response: anger
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 484.82  484.82  323.45 < 2.2e-16 ***
## Residuals 273 409.20    1.50                      
## ---
## 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	****	2.4168	1.95	2.94	large
mat_high	emo_low	emo_high	68	68	0.0000	****	0.0000	****	1.9818	1.55	2.52	large
emo_low	mat_low	mat_high	70	68	0.2830	ns	0.2830	ns	-0.1834	-0.54	0.17	negligible
emo_high	mat_low	mat_high	69	68	0.0196	*	0.0392	*	-0.4037	-0.82	-0.07	small

social_anxiety

Q7: How likely do you think it is that as an adult, Kevin often feels anxious in the presence of other people?

[0=Extremely unlikely, …, 6=Extremely likely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	social_anxiety	70	4.714	0.935	0.112	0.223
mat_low	emo_high	social_anxiety	69	1.797	1.441	0.173	0.346
mat_high	emo_low	social_anxiety	68	4.838	1.378	0.167	0.334
mat_high	emo_high	social_anxiety	68	1.426	1.176	0.143	0.285

mat_sec	variable	n	mean	sd	se	ci
mat_low	social_anxiety	139	3.266	1.898	0.161	0.318
mat_high	social_anxiety	136	3.132	2.135	0.183	0.362

emo_sec	variable	n	mean	sd	se	ci
emo_low	social_anxiety	138	4.775	1.172	0.100	0.197
emo_high	social_anxiety	137	1.613	1.324	0.113	0.224

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: social_anxiety
##                  Df Sum Sq Mean Sq F value Pr(>F)    
## mat_sec           1   1.23    1.23   0.792 0.3743    
## emo_sec           1 687.27  687.27 442.084 <2e-16 ***
## mat_sec:emo_sec   1   4.20    4.20   2.704 0.1013    
## Residuals       271 421.30    1.55                   
## ---
## 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         |       2.91e-03 | [0.00, 1.00]
## emo_sec         |           0.62 | [0.57, 1.00]
## mat_sec:emo_sec |       9.88e-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         |                1.28 | [1.14, Inf]
## mat_sec:emo_sec |                0.10 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: social_anxiety
##            Df  Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1    1.23  1.2313  0.3021  0.583
## Residuals 273 1112.77  4.0761               
## 
## $output5
## Analysis of Variance Table
## 
## Response: social_anxiety
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 687.47  687.47  440.01 < 2.2e-16 ***
## Residuals 273 426.53    1.56                      
## ---
## 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	****	2.4057	1.91	3.08	large
mat_high	emo_low	emo_high	68	68	0.000	****	0.000	****	2.6636	2.07	3.43	large
emo_low	mat_low	mat_high	70	68	0.536	ns	0.536	ns	-0.1056	-0.49	0.21	negligible
emo_high	mat_low	mat_high	69	68	0.102	ns	0.204	ns	0.2816	-0.06	0.61	small

mistrust

Q8: How likely do you think it is that as an adult, Kevin has difficulty trusting other people?

[0=Extremely unlikely, …, 6=Extremely likely]

Summary

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	mistrust	70	5.171	0.947	0.113	0.226
mat_low	emo_high	mistrust	69	1.913	1.401	0.169	0.337
mat_high	emo_low	mistrust	68	5.206	1.166	0.141	0.282
mat_high	emo_high	mistrust	68	1.647	1.453	0.176	0.352

mat_sec	variable	n	mean	sd	se	ci
mat_low	mistrust	139	3.554	2.022	0.172	0.339
mat_high	mistrust	136	3.426	2.217	0.190	0.376

emo_sec	variable	n	mean	sd	se	ci
emo_low	mistrust	138	5.188	1.057	0.090	0.178
emo_high	mistrust	137	1.781	1.428	0.122	0.241

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: mistrust
##                  Df Sum Sq Mean Sq  F value Pr(>F)    
## mat_sec           1   1.12    1.12   0.7073 0.4011    
## emo_sec           1 797.99  797.99 505.1893 <2e-16 ***
## mat_sec:emo_sec   1   1.55    1.55   0.9820 0.3226    
## Residuals       271 428.07    1.58                    
## ---
## 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         |       2.60e-03 | [0.00, 1.00]
## emo_sec         |           0.65 | [0.60, 1.00]
## mat_sec:emo_sec |       3.61e-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         |                1.37 | [1.23, Inf]
## mat_sec:emo_sec |                0.06 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: mistrust
##            Df  Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1    1.12  1.1172  0.2485 0.6186
## Residuals 273 1227.61  4.4967               
## 
## $output5
## Analysis of Variance Table
## 
## Response: mistrust
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 798.20  798.20  506.13 < 2.2e-16 ***
## Residuals 273 430.53    1.58                      
## ---
## 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	****	2.7282	2.14	3.56	large
mat_high	emo_low	emo_high	68	68	0.000	****	0.000	****	2.7009	2.12	3.57	large
emo_low	mat_low	mat_high	70	68	0.849	ns	0.849	ns	-0.0325	-0.38	0.30	negligible
emo_high	mat_low	mat_high	69	68	0.277	ns	0.554	ns	0.1864	-0.14	0.54	negligible

Composite DV SEimpairment

Composite & summary

## 
## Cronbach's alpha for the 'dfSEImpairment' data-set
## 
## Items: 4
## Sample units: 275
## alpha: 0.922
## 
## Bootstrap 95% CI based on 1000 samples
##  2.5% 97.5% 
## 0.902 0.938

mat_sec	emo_sec	variable	n	mean	sd	se	ci
mat_low	emo_low	SEImpairment	70	4.407	0.724	0.087	0.173
mat_low	emo_high	SEImpairment	69	1.583	1.100	0.132	0.264
mat_high	emo_low	SEImpairment	68	4.562	0.969	0.118	0.235
mat_high	emo_high	SEImpairment	68	1.621	1.054	0.128	0.255

mat_sec	variable	n	mean	sd	se	ci
mat_low	SEImpairment	139	3.005	1.693	0.144	0.284
mat_high	SEImpairment	136	3.092	1.788	0.153	0.303

emo_sec	variable	n	mean	sd	se	ci
emo_low	SEImpairment	138	4.484	0.854	0.073	0.144
emo_high	SEImpairment	137	1.602	1.073	0.092	0.181

ANOVA

## $output1
## Analysis of Variance Table
## 
## Response: SEImpairment
##                  Df Sum Sq Mean Sq  F value Pr(>F)    
## mat_sec           1   0.51    0.51   0.5453 0.4609    
## emo_sec           1 570.96  570.96 605.0921 <2e-16 ***
## mat_sec:emo_sec   1   0.24    0.24   0.2509 0.6169    
## Residuals       271 255.71    0.94                    
## ---
## 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         |       2.01e-03 | [0.00, 1.00]
## emo_sec         |           0.69 | [0.65, 1.00]
## mat_sec:emo_sec |       9.25e-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         |                0.04 | [0.00, Inf]
## emo_sec         |                1.49 | [1.35, Inf]
## mat_sec:emo_sec |                0.03 | [0.00, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].
## $output4
## Analysis of Variance Table
## 
## Response: SEImpairment
##            Df Sum Sq Mean Sq F value Pr(>F)
## mat_sec     1   0.51 0.51453  0.1699 0.6805
## Residuals 273 826.91 3.02897               
## 
## $output5
## Analysis of Variance Table
## 
## Response: SEImpairment
##            Df Sum Sq Mean Sq F value    Pr(>F)    
## emo_sec     1 570.83  570.83  607.32 < 2.2e-16 ***
## Residuals 273 256.60    0.94                      
## ---
## 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	****	3.0381	2.53	3.74	large
mat_high	emo_low	emo_high	68	68	0.000	****	0.000	****	2.9050	2.33	3.67	large
emo_low	mat_low	mat_high	70	68	0.287	ns	0.574	ns	-0.1820	-0.54	0.14	negligible
emo_high	mat_low	mat_high	69	68	0.837	ns	0.837	ns	-0.0353	-0.39	0.27	negligible

Varieties of deprivation S1 (pre-vignette)

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

Valid entries and size of groups

Effect of condition on DVs pre-vignette

mat_sec_check

Summary

ANOVA

Plots & Comparisons

emo_sec_check

Summary

ANOVA

Plots & Comparisons

SES1

Summary

ANOVA

Plots & Comparisons

SES2

Summary

ANOVA

Plots & Comparisons

Composite DV SES

Composite & summary

ANOVA

Plots & Comparisons

aggression

Summary

ANOVA

Plots & Comparisons

anger

Summary

ANOVA

Plots & Comparisons

social_anxiety

Summary

ANOVA

Plots & Comparisons

mistrust

Summary

ANOVA

Plots & Comparisons

Composite DV SEimpairment

Composite & summary

ANOVA

Plots & Comparisons