Results

Repeated Measures ANOVA

Within Subjects Effects
	Sum of Squares	df	Mean Square	F	p
sat	304	1	304.0	3.09	0.092
Residual	2261	23	98.3
sesh	1307	1	1306.6	12.59	0.002
Residual	2387	23	103.8
sat ✻ sesh	470	1	470.4	9.79	0.005
Residual	1105	23	48.0
Note. Type 3 Sums of Squares

[3]

Between Subjects Effects
	Sum of Squares	df	Mean Square	F	p
Residual	4900	23	213
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	11.806	2.66	23.0	4.435	< .001	0.001
		-	n	pre	0.868	1.72	23.0	0.505	0.618	1.000
		-	n	post	3.819	3.08	23.0	1.240	0.228	1.000
	post	-	n	pre	-10.937	2.71	23.0	-4.035	< .001	0.003
		-	n	post	-7.986	3.04	23.0	-2.627	0.015	0.090
n	pre	-	n	post	2.951	2.36	23.0	1.251	0.223	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.