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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 |