Table 4.
Results of mixed-effects logistic regression for predicting the likelihood of correctly recognizing an item image (hit)
| Dependent variable: correctly recognizing an old item image (hit) | ||||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | |||||
| Odds ratio | CI | P | Odds ratios | CI | P | |
| Fixed effects | ||||||
| Intercept | 5.03 | 3.38–7.50 | <0.001 | 5.65 | 3.40–9.39 | <0.001 |
| Valence: neutral | 0.95 | 0.76–1.17 | 0.609 | 0.89 | 0.68–1.17 | 0.402 |
| Valence: positive | 0.95 | 0.76–1.17 | 0.613 | 0.92 | 0.73–1.16 | 0.480 |
| Negative affect: high | 0.90 | 0.53–1.54 | 0.708 | 0.90 | 0.52–1.54 | 0.696 |
| Rated arousal | 0.97 | 0.90–1.05 | 0.472 | |||
| Random effects | ||||||
| σ2 | 3.29 | 3.29 | ||||
| n | 59 | 59 | ||||
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Model 1 included predictors context valence and worry group. Model 2 additionally included the predictor-rated arousal. The models did not significantly differ from each other. Bold indicates statistical significance of predictors (for a better overview).
