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Table 4 Proposition Entity Count (PEC) by gender-specific response types and response correctness

From: Automatically analyzing text responses for exploring gender-specific cognitions in PISA reading

Item \(\beta _{gt}\) \(\beta _{c}\) \(\beta _{gt*c}\) F(df1, df2) \(R_{adj}^2\)
1. explain protagonist’s ... − 0.84 [± 0.21] − 0.19 [± 0.15] 0.46 [± 0.45] F(3,1065) = 227.50 0.389
2. evaluate statement − 0.37 [± 0.09] 0.19 [± 0.08] − 0.27 [± 0.17] F(3,378) = 97.18 0.431
3. interpret author’s ... − 0.42 [± 0.08] − 0.04 [± 0.05] 0.26 [± 0.26] F(3,668) = 35.76 0.135
4. list recall − 0.51 [± 0.06] − 0.14 [± 0.07] NAa F(2,2600) = 207.20 0.137
5. evaluate stylistic ... − 0.33 [± 0.10] 0.35 [± 0.08] 0.01 [± 0.19] F(3,735) = 89.36 0.264
6. verbal production − 0.31 [± 0.24] 0.27 [± 0.22] − 0.57 [± 0.44] F(3,802) = 163.60 0.377
7. select and judge − 0.37 [± 0.12] 0.24 [± 0.11] − 0.11 [± 0.20] F(3,1018) = 124.10 0.266
8. explain story element − 0.38 [± 0.15] 0.10 [± 0.13] − 0.01 [± 0.30] F(3,952) = 69.55 0.177
  1. Italic statistics are significant (\(\alpha = .05\)), gt = gender-specific response type (1 = girls, 2 = boys), c = response correct, \(R_{adj}^2 = R^2\) adjusted, 95% confidence intervals in brackets
  2. a No girl type with incorrect responses