Evolution: Education and Outreach

Table 2 Multiple linear regression model results for post-class tree thinking concept inventory scores

From: A comparison study of human examples vs. non-human examples in an evolution lesson leads to differential impacts on student learning experiences in an introductory biology course

	TTCI Post-Score (Model 1)				TTCI Post-Score (Model 2)
	CC		MI		CC		MI
	Β (Std. error)	p-value	Β (Std. error)	p-value	Β (Std. error)	p-value	Β (Std. error)	p-value
Intercept	1.96 (1.44 – 2.49)	< 0.001	1.895 (1.66 – 2.13)	< 0.001	2.50 (1.86 – 3.14)	< 0.001	2.428 (2.14–2.72)	< 0.001
TTCI Pre-Score	0.59 (0.49 – 0.69)	< 0.001	0.606 (0.558 – 0.654)	< 0.001	0.46 (0.32 – 0.60)	< 0.001	0.468 (0.40 - 0.54)	< 0.001
Year (Reference: Year 1)	− 0.40 (− 0.82 to 0.01)	0.059	− 0.22 (– 0.39 to – 0.05)	0.197	− 0.41 (– 0.83 to 0.00)	0.050	− 0.254 (− 0.42 – 0.09)	0.134
I-SEA_H (Centered)	0.02 (− 0.03 to 0.08)	0.393	0.032 (0.01 – 0.06)	0.196	0.01 (– 0.03 to 0.05)	0.560	0.012 (− 0.01 – 0.03)	0.502
Treatment (Reference: Animal)	0.35 (− 0.07 to 0.77)	0.102	0.281 (0.09 – 0.48)	0.153	− 0.77 (– 1.65 to 0.12)	0.090	− 0.692 (– 1.094 to − 0 .29)	0.086
Treatment X I-SEA_H	− 0.03 (− 0.11 to 0.05)	0.477	− 0.042 (− 0.08 − 0.01)	0.231	-	-	-	-
Treatment X TTCI Pre-Score	-	-	-	-	0.28 (0.08 – 0.47)	0.006	0.249 (0.157 – 0.342)	0.008
Observations	282		673		275		673
R² / adjusted R²	0.343/0.331				0.376 / 0.364

Full model results predicting student TTCI post-scores using complete-case data (CC) and multiple imputation (MI). Year and treatment are binary variables with reference values in parentheses. MI results are pooled following Rubin (2004). Coefficients significant at p ≤ 0.05 are bolded

Back to article page

ISSN: 1936-6434

Contact us

Submission enquiries: journalsubmissions@springernature.com