AI Trust S1 - Analysis

Valid entries and size of groups

There is a total of 231 entries in the dataset. 15 participants failed the attention check. The valid number of entries is n = 216.

ai_training	n	percentage
no_ai	71	32.87%
control	70	32.41%
yes_ai	75	34.72%

Creating composites

ability

α = 0.955 95% CI [ 0.944 , 0.965 ]

✓ Composite ability created

benevolence

α = 0.891 95% CI [ 0.866 , 0.917 ]

✓ Composite benevolence created

integrity

α = 0.895 95% CI [ 0.87 , 0.919 ]

✓ Composite integrity created

autonomy

α = 0.906 95% CI [ 0.884 , 0.927 ]

✓ Composite autonomy created

Effect of condition on DVs (ANOVAs)

comfort

Description

Summary

ai_training	variable	n	mean	sd	se	ci
no_ai	comfort	69	5.551	0.654	0.079	0.157
control	comfort	69	4.928	1.019	0.123	0.245
yes_ai	comfort	75	3.760	1.746	0.202	0.402

ANOVA

## $output1
## Anova Table (Type II tests)
## 
## Response: comfort
##             Sum Sq  Df F value    Pr(>F)    
## ai_training 119.71   2  38.629 5.183e-15 ***
## Residuals   325.39 210                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA
## 
## Parameter   | Eta2 |       95% CI
## ---------------------------------
## ai_training | 0.27 | [0.19, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA
## 
## Parameter   | Cohen's f |      95% CI
## -------------------------------------
## ai_training |      0.61 | [0.48, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

Plots & Comparisons

group1	group2	n1.x	n2.x	p	p.signif	p.adj	p.adj.signif	effsize	n1.y	n2.y	conf.low	conf.high	Cohens’ d
no_ai	control	71	70	0.0036	**	0.0036	**	0.7278	69	69	0.40	1.08	moderate
no_ai	yes_ai	71	75	0.0000	****	0.0000	****	1.3369	69	75	1.07	1.65	large
control	yes_ai	70	75	0.0000	****	0.0000	****	0.8082	69	75	0.50	1.12	large

confidence

Description

Summary

ai_training	variable	n	mean	sd	se	ci
no_ai	confidence	70	5.514	0.654	0.078	0.156
control	confidence	70	4.943	0.961	0.115	0.229
yes_ai	confidence	75	3.907	1.621	0.187	0.373

ANOVA

## $output1
## Anova Table (Type II tests)
## 
## Response: confidence
##              Sum Sq  Df F value    Pr(>F)    
## ai_training  96.768   2  35.665 4.452e-14 ***
## Residuals   287.604 212                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA
## 
## Parameter   | Eta2 |       95% CI
## ---------------------------------
## ai_training | 0.25 | [0.17, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA
## 
## Parameter   | Cohen's f |      95% CI
## -------------------------------------
## ai_training |      0.58 | [0.45, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

Plots & Comparisons

group1	group2	n1.x	n2.x	p	p.signif	p.adj	p.adj.signif	effsize	n1.y	n2.y	conf.low	conf.high	Cohens’ d
no_ai	control	71	70	0.0041	**	0.0041	**	0.6951	70	70	0.34	1.08	moderate
no_ai	yes_ai	71	75	0.0000	****	0.0000	****	1.2850	70	75	1.03	1.62	large
control	yes_ai	70	75	0.0000	****	0.0000	****	0.7713	70	75	0.50	1.08	moderate

ability

Description

Summary

ai_training	variable	n	mean	sd	se	ci
no_ai	ability	71	5.540	0.567	0.067	0.134
control	ability	70	5.019	0.780	0.093	0.186
yes_ai	ability	75	4.129	1.419	0.164	0.327

ANOVA

## $output1
## Anova Table (Type II tests)
## 
## Response: ability
##              Sum Sq  Df F value    Pr(>F)    
## ai_training  74.584   2   37.19 1.403e-14 ***
## Residuals   213.588 213                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA
## 
## Parameter   | Eta2 |       95% CI
## ---------------------------------
## ai_training | 0.26 | [0.18, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA
## 
## Parameter   | Cohen's f |      95% CI
## -------------------------------------
## ai_training |      0.59 | [0.46, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

Plots & Comparisons

group1	group2	n1.x	n2.x	p	p.signif	p.adj	p.adj.signif	effsize	n1.y	n2.y	conf.low	conf.high	Cohens’ d
no_ai	control	71	70	0.0023	**	0.0023	**	0.7646	71	70	0.41	1.12	moderate
no_ai	yes_ai	71	75	0.0000	****	0.0000	****	1.2925	71	75	1.03	1.61	large
control	yes_ai	70	75	0.0000	****	0.0000	****	0.7701	70	75	0.49	1.06	moderate

benevolence

Description

Summary

ai_training	variable	n	mean	sd	se	ci
no_ai	benevolence	71	4.892	0.980	0.116	0.232
control	benevolence	70	4.417	0.989	0.118	0.236
yes_ai	benevolence	75	4.164	1.194	0.138	0.275

ANOVA

## $output1
## Anova Table (Type II tests)
## 
## Response: benevolence
##              Sum Sq  Df F value    Pr(>F)    
## ai_training  19.796   2  8.7755 0.0002176 ***
## Residuals   240.241 213                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA
## 
## Parameter   | Eta2 |       95% CI
## ---------------------------------
## ai_training | 0.08 | [0.03, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA
## 
## Parameter   | Cohen's f |      95% CI
## -------------------------------------
## ai_training |      0.29 | [0.16, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

Plots & Comparisons

group1	group2	n1.x	n2.x	p	p.signif	p.adj	p.adj.signif	effsize	n1.y	n2.y	conf.low	conf.high	Cohens’ d
no_ai	control	71	70	0.0085	**	0.0169	*	0.4827	71	70	0.14	0.82	small
no_ai	yes_ai	71	75	0.0001	****	0.0002	***	0.6644	71	75	0.37	0.98	moderate
control	yes_ai	70	75	0.1540	ns	0.1540	ns	0.2293	70	75	-0.11	0.54	small

integrity

Description

Summary

ai_training	variable	n	mean	sd	se	ci
no_ai	integrity	71	4.685	0.968	0.115	0.229
control	integrity	70	4.076	0.977	0.117	0.233
yes_ai	integrity	75	3.682	1.357	0.157	0.312

ANOVA

## $output1
## Anova Table (Type II tests)
## 
## Response: integrity
##              Sum Sq  Df F value    Pr(>F)    
## ai_training  37.125   2   14.77 9.838e-07 ***
## Residuals   267.689 213                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA
## 
## Parameter   | Eta2 |       95% CI
## ---------------------------------
## ai_training | 0.12 | [0.06, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA
## 
## Parameter   | Cohen's f |      95% CI
## -------------------------------------
## ai_training |      0.37 | [0.25, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

Plots & Comparisons

group1	group2	n1.x	n2.x	p	p.signif	p.adj	p.adj.signif	effsize	n1.y	n2.y	conf.low	conf.high	Cohens’ d
no_ai	control	71	70	0.0014	**	0.0029	**	0.6268	71	70	0.27	1.01	moderate
no_ai	yes_ai	71	75	0.0000	****	0.0000	****	0.8473	71	75	0.56	1.17	large
control	yes_ai	70	75	0.0356	*	0.0356	*	0.3313	70	75	0.02	0.63	small

autonomy

Description

Summary

ai_training	variable	n	mean	sd	se	ci
no_ai	autonomy	71	5.122	0.811	0.096	0.192
control	autonomy	70	4.176	0.954	0.114	0.228
yes_ai	autonomy	75	3.298	1.425	0.165	0.328

ANOVA

## $output1
## Anova Table (Type II tests)
## 
## Response: autonomy
##             Sum Sq  Df F value    Pr(>F)    
## ai_training 121.39   2  49.869 < 2.2e-16 ***
## Residuals   259.23 213                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA
## 
## Parameter   | Eta2 |       95% CI
## ---------------------------------
## ai_training | 0.32 | [0.24, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA
## 
## Parameter   | Cohen's f |      95% CI
## -------------------------------------
## ai_training |      0.68 | [0.55, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

Plots & Comparisons

group1	group2	n1.x	n2.x	p.signif	p.adj.signif	effsize	n1.y	n2.y	conf.low	conf.high	Cohens’ d
no_ai	control	71	70	****	****	1.0687	71	70	0.72	1.46	large
no_ai	yes_ai	71	75	****	****	1.5621	71	75	1.23	1.96	large
control	yes_ai	70	75	****	****	0.7194	70	75	0.40	1.03	moderate

ai_use

Description

Summary

ai_training	variable	n	mean	sd	se	ci
no_ai	ai_use	71	1.958	1.616	0.192	0.383
control	ai_use	69	3.319	1.022	0.123	0.245
yes_ai	ai_use	75	4.560	1.130	0.130	0.260

ANOVA

## $output1
## Anova Table (Type II tests)
## 
## Response: ai_use
##             Sum Sq  Df F value    Pr(>F)    
## ai_training 247.01   2  75.165 < 2.2e-16 ***
## Residuals   348.34 212                      
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## $output2
## # Effect Size for ANOVA
## 
## Parameter   | Eta2 |       95% CI
## ---------------------------------
## ai_training | 0.41 | [0.33, 1.00]
## 
## - One-sided CIs: upper bound fixed at [1.00].
## $output3
## # Effect Size for ANOVA
## 
## Parameter   | Cohen's f |      95% CI
## -------------------------------------
## ai_training |      0.84 | [0.71, Inf]
## 
## - One-sided CIs: upper bound fixed at [Inf].

Plots & Comparisons

group1	group2	n1.x	n2.x	p.signif	p.adj.signif	effsize	n1.y	n2.y	conf.low	conf.high	Cohens’ d
no_ai	control	71	70	****	****	-1.0035	71	69	-1.42	-0.63	large
no_ai	yes_ai	71	75	****	****	-1.8751	71	75	-2.44	-1.44	large
control	yes_ai	70	75	****	****	-1.1498	69	75	-1.65	-0.76	large

AI Trust S1 - Analysis

Date of study: 27 May 2026. Last compiled on 27 May, 2026

Valid entries and size of groups

Creating composites

ability

benevolence

integrity

autonomy

Effect of condition on DVs (ANOVAs)

comfort

Summary

ANOVA

Plots & Comparisons

confidence

Summary

ANOVA

Plots & Comparisons

ability

Summary

ANOVA

Plots & Comparisons

benevolence

Summary

ANOVA

Plots & Comparisons

integrity

Summary

ANOVA

Plots & Comparisons

autonomy

Summary

ANOVA

Plots & Comparisons

ai_use

Summary

ANOVA

Plots & Comparisons