Table 2.
Multiple linear regression model results for post-class tree thinking concept inventory scores
| 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-SEAH (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-SEAH |
− 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