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# Table 3 Proposition Entity Count (PEC) by gender and response correctness

Item $$\beta _{g}$$ $$\beta _{c}$$ $$\beta _{g*c}$$ F(df1, df2) $$R_{adj}^2$$
1. explain protagonist’s ... − 0.16 [± $$0.09$$] − 0.02 [± $$0.05$$] 0.01 [± $$0.21$$] F(3, 4047) = 32.10 0.023
2. evaluate statement − 0.12 [± $$0.05$$] 0.18 [± $$0.05$$] − 0.15 [± $$0.15$$] F(3,3365) = 55.42 0.046
3. interpret author’s ... − 0.20 [± $$0.04$$] 0.03 [± $$0.05$$] − 0.03 [± $$0.15$$] F(3,2989) = 43.90 0.041
4. list recall − 0.12 [± $$0.09$$] 0.23 [± $$0.05$$] 0.14 [± $$0.20$$] F(3,3718) = 97.61 0.072
5. evaluate stylistic ... − 0.15 [± $$0.05$$] 0.36 [± $$0.04$$] − 0.02 [± $$0.14$$] F(3,3540) = 226.30 0.160
6. verbal production − 0.16 [± $$0.09$$] 0.14 [± $$0.05$$] 0.01 [± $$0.21$$] F(3,3959) = 70.56 0.050
7. select and judge − 0.18 [± $$0.06$$] 0.23 [± $$0.05$$] 0.01 [± $$0.15$$] F(3,3764) = 128.90 0.092
8. explain story element − 0.17 [± $$0.06$$] 0.11 [± $$0.05$$] 0.03 [± $$0.15$$] F(3,3893) = 55.41 0.040
1. Italic statistics are significant ($$\alpha = .05$$), g = gender (1 = girls, 2 = boys), c = response correct, $$R_{adj}^2$$ = $$R^2$$ adjusted, 95% confidence intervals in brackets