Interpolated testing and content pretesting as interventions to reduce task-unrelated thoughts during a video lecture

Cognitive Research: Principles and Implications

Table 2 Follow-up t-tests, Cohen’s d, and Bayes Factors (BF₁₀) for Primary Dependent Variables in Testing Versus Restudy Conditions and Content-Matched Versus Content-Mismatched Pretest Conditions

Dependent variables	Experimental comparisons
	Testing vs. restudy			Matched vs. mismatched pretest
	t-test	d [95% CI]	BF₁₀	t-test	d [95% CI]	BF₁₀
Pretest	t(193) = − 2.26*	− 0.32 [− 0.61, − 0.04]	1.67	t(193) = − 2.03*	− 0.29 [− 0.57, − 0.01]	1.05
TUT Rate	t(193) = − 2.00*	− 0.29 [− 0.57, − 0.00]	0.99	t(193) = 0.52	0.08 [− 0.21, 0.37]	0.18
Lecture-Related	t(193) = − 0.26	− 0.04 [− 0.32, 0.24]	0.16	t(193) = 0.67	0.10 [− 0.19, 0.38]	0.19
Comp-Related	t(193) = 0.73	0.11 [− 0.18, 0.39]	0.20	t(193) = 1.13	0.16 [− 0.12, 0.44]	0.28
Posttest Total	t(193) = − 0.47	− 0.07 [− 0.35, 0.21]	0.17	t(193) = 1.08	0.16 [− 0.13, 0.44]	0.27
Sit. Interest	t(179) = − 1.24	− 0.18 [− 0.48, 0.11]	0.33	t(179) = 0.06	0.01 [− 0.28, 0.30]	0.16

Matched = pretest content matched posttest; Mismatched = pretest content mismatched posttest; Pretest = number correct pretest items; TUT Rate = proportion of thought reports indicating task-unrelated thoughts; Lecture-Related = proportion lecture-related off-task thoughts; Comp-Related = proportion comprehension-related off-task thoughts; Posttest Total = z-score average across all parts; Sit. Interest = situational interest scale score
^* p < .05