| Within Subjects Effects | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sum of Squares | df | Mean Square | F | p | η²p | ||||||||
| Time | 428.00170 | 2 | 214.0009 | 2408.33265 | < .001 | 0.989 | |||||||
| Time ✻ Gender | 0.00170 | 2 | 8.51e-4 | 0.00957 | 0.990 | 0.000 | |||||||
| Residual | 4.97608 | 56 | 0.0889 | ||||||||||
| Note. Type 3 Sums of Squares | |||||||||||||
| [3] | |||||||||||||
^ The table indicates there is a significant main effect for Time (p < .001)
| Between Subjects Effects | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sum of Squares | df | Mean Square | F | p | η²p | ||||||||
| Gender | 15.8 | 1 | 15.8 | 0.185 | 0.671 | 0.007 | |||||||
| Residual | 2391.6 | 28 | 85.4 | ||||||||||
| Note. Type 3 Sums of Squares | |||||||||||||
^ The table indicates there is no significant main effect for Gender (p = .671)
| Homogeneity of Variances Test (Levene's) | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| F | df1 | df2 | p | ||||||
| Balance_T1 | 0.642 | 1 | 28 | 0.430 | |||||
| Balance_T2 | 0.686 | 1 | 28 | 0.415 | |||||
| Balance_T3 | 0.686 | 1 | 28 | 0.415 | |||||
^ This table indicates that assumption of equal variances was confirmed (p > .05)
| Post Hoc Comparisons - Time | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Comparison | |||||||||||||||
| Time | Time | Mean Difference | SE | df | t | pbonferroni | |||||||||
| Time 1 | - | Time 2 | -2.54 | 0.0978 | 28.0 | -25.9 | < .001 | ||||||||
| - | Time 3 | -5.54 | 0.0978 | 28.0 | -56.6 | < .001 | |||||||||
| Time 2 | - | Time 3 | -3.00 | 0.0000 | 28.0 | -Inf | < .001 | ||||||||
^ This table indicates that all pairwise comparisons were significant (p < .001)
[4]
[1] The jamovi project (2022). jamovi. (Version 2.3) [Computer Software]. Retrieved from https://www.jamovi.org.
[2] R Core Team (2021). R: A Language and environment for statistical computing. (Version 4.1) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2022-01-01).
[3] Singmann, H. (2018). afex: Analysis of Factorial Experiments. [R package]. Retrieved from https://cran.r-project.org/package=afex.
[4] Lenth, R. (2020). emmeans: Estimated Marginal Means, aka Least-Squares Means. [R package]. Retrieved from https://cran.r-project.org/package=emmeans.