Skip to main content

Table 4 Logistic regression model results for discomfort experienced during the one-day activity

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

  Discomfort with lesson content
Complete case data Multiple imputation
Est
(std)
p-value Est
(std)
p-value
Intercept 0.16
(0.09–0.28)
 < 0.001 0.171
(– 1.13 – 1.47)
 < 0.001
Discomfort with course content 1.88
(1.61–2.23)
 < 0.001 1.9
(0.82 – 2.98)
 < 0.001
Year 2
(Reference: Year 1)
1.32
(0.71–2.46)
0.380 1.269
(– 0.01 – 2.55)
0.338
I-SEA (Centered) 0.92
(0.87–0.99)
0.018 0.939
(– 0.09 – 1.97)
0.019
Treatment – Human
(Reference: Animal)
0.88
(0.47–1.62)
0.679 0.84
(– 0.47 – 2.15)
0.522
Observations 285 673
R2 / adjusted R2 0.370  
  1. Model results predicting student discomfort using complete-case data (CC) and multiple imputation (MI). Coefficients represent odds ratios. 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. Full model results including interaction terms are available in the Additional file 1