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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