Results

Repeated Measures ANOVA

Within Subjects Effects
	Sum of Squares	df	Mean Square	F	p
sat	23.5	1	23.5	0.513	0.481
Residual	1053.1	23	45.8
sesh	28.7	1	28.7	0.711	0.408
Residual	929.1	23	40.4
sat ✻ sesh	79.8	1	79.8	3.243	0.085
Residual	565.6	23	24.6
Note. Type 3 Sums of Squares

[3]

Between Subjects Effects
	Sum of Squares	df	Mean Square	F	p
Residual	1753	23	76.2
Note. Type 3 Sums of Squares

Post Hoc Tests

Post Hoc Comparisons - sat ✻ sesh
Comparison
sat	sesh		sat	sesh	Mean Difference	SE	df	t	p	p_bonferroni
y	pre	-	y	post	2.917	1.52	23.0	1.9129	0.068	0.410
		-	n	pre	0.833	1.95	23.0	0.4277	0.673	1.000
		-	n	post	0.104	1.86	23.0	0.0559	0.956	1.000
	post	-	n	pre	-2.083	1.93	23.0	-1.0822	0.290	1.000
		-	n	post	-2.813	1.44	23.0	-1.9559	0.063	0.376
n	pre	-	n	post	-0.729	1.76	23.0	-0.4148	0.682	1.000

[4]

Estimated Marginal Means

sesh ✻ sat

[4]

References

[1] The jamovi project (2021). jamovi. (Version 1.6) [Computer Software]. Retrieved from https://www.jamovi.org.

[2] R Core Team (2020). R: A Language and environment for statistical computing. (Version 4.0) [Computer software]. Retrieved from https://cran.r-project.org. (R packages retrieved from MRAN snapshot 2020-08-24).

[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.