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Table 3 Proposition Entity Count (PEC) by gender and response correctness
From: Automatically analyzing text responses for exploring gender-specific cognitions in PISA reading
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 |