Results

ANOVA

There was no significant main effect of method of teaching, indicating that when we ignore the sex assigned at birth both methods of teaching had similar effects on the results of the JASP exam, F(1, 16) = 2.25, p = 0.153,  = 0.059. There was a significant main effect of the sex assigned at birth, indicating that if we ignore the method of teaching, those assigned as male at birth scored differently on the SPSS exam to those assigned as female, F(1, 16) = 12.50, p = 0.003,  = 0.36. However, this effect was significantly moderated by the method of teaching, F(1, 16) = 30.25, p < 0.001,  = 0.594. The descriptives plot and conditional post hoc tests suggest that when the method of teaching was being nice there were no significant difference in exam scores between men and women, t(16) = 1.414, p = 0.176, d = 0.894; however, when the method of teaching was electric shocks men scored significantly higher on the exam than women, t(16) = -6.364, p < 0.001, d = -4.025.

ANOVA - mark
95% CI for ω²ₚ
Cases Sum of Squares df Mean Square F p ω²ₚ Lower Upper
method 11.250 1 11.250 2.250 0.153 0.059 0.000 0.356
gender 61.250 1 61.250 12.250 0.003 0.360 0.033 0.626
method ✻ gender 151.250 1 151.250 30.250 < .001 0.594 0.236 0.772
Residuals 80.000 16 5.000  
Note.  Type III Sum of Squares

Descriptives

Descriptives plots

Post Hoc Tests

Standard (HSD)

Post Hoc Comparisons - method ✻ gender - Conditional on method
95% CI for Mean Difference 95% CI for Cohen's d
method Mean Difference Lower Upper SE df t Cohen's d Lower Upper ptukey
Electric shock Woman Man -9.000 -11.998 -6.002 1.414 16 -6.364 -4.025 -6.889 -1.161 < .001
Being nice   Man 2.000 -0.998 4.998 1.414 16 1.414 0.894 -1.067 2.856 0.176
Post Hoc Comparisons - method ✻ gender - Conditional on gender
95% CI for Mean Difference 95% CI for Cohen's d
gender Mean Difference Lower Upper SE df t Cohen's d Lower Upper ptukey
Woman Electric shock Being nice -4.000 -6.998 -1.002 1.414 16 -2.828 -1.789 -3.916 0.338 0.012
Man   Being nice 7.000 4.002 9.998 1.414 16 4.950 3.130 0.602 5.659 < .001


Raincloud Plots

Raincloud Plots

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