Table 3.
Summary of hierarchical regression analyses of IMS scores and diary intrusions (N = 85)
Step | Predictors | (Δ)R² (%) | df | F-(change) | B | SE B | Beta |
---|---|---|---|---|---|---|---|
Model 1: IMS | |||||||
1 | Gender | 13 | 4, 80 | 2.77* | 1.64 | 1.39 | 0.13 |
Film-related distress | 0.02 | 0.03 | 0.08 | ||||
CVLT-list-order | −1.24 | 1.27 | −0.12 | ||||
Learning ability | 0.54 | 0.33 | 0.20 | ||||
2 | Gender | 10 | 2, 78 | 4.62* | 2.04 | 1.41 | 0.18 |
Film-related distress | 0.03 | 0.03 | 0.12 | ||||
CVLT-list-order | −2.05 | 1.28 | −0.22 | ||||
Learning ability | 0.02 | 0.01 | 0.20 | ||||
Neuroticism | 0.02 | 0.06 | 0.05 | ||||
CVLT-interference | 0.79 | 0.28 | 0.34** | ||||
3 | Gender | 0.3 | 1, 57 | 0.24 | 2.23 | 1.52 | 0.18 |
Film-related distress | 0.03 | 0.03 | 0.12 | ||||
CVLT-list-order | −2.27 | 1.31 | −0.22 | ||||
Learning ability | 0.79 | 0.30 | 0.20 | ||||
Neuroticism | 0.03 | 0.06 | 0.05 | ||||
CVLT-interference | 0.79 | 0.30 | 0.34** | ||||
Neuroticism*CVLT-interference | 0.04 | 0.77 | 0.01 | ||||
Model 2: Diary intrusions-sqrt | |||||||
1 | Gender | 6 | 4, 80 | 0.92 | 0.40 | 0.52 | 0. 09 |
Film-related distress | 0.02 | 0.01 | 0.19 | ||||
CVLT-list-order | −0.39 | 0.50 | 0.11 | ||||
Learning ability | −0.01 | 0.01 | −0.12 | ||||
2 | Gender | 8 | 2, 78 | 3.80* | 0.22 | 0.53 | 0.05 |
Film-related distress | 0.02 | 0.01 | 0.21 | ||||
CVLT-list-order | −0.71 | 0.50. | −0.19 | ||||
Learning ability | −0.01 | 0.01 | −0.10 | ||||
Neuroticism | 0.05 | 0.03 | 0.27† | ||||
CVLT-interference | 0.21 | 0.11 | 0.26* | ||||
3 | Gender | 1 | 1, 77 | 0.67 | 0.26 | 0.54 | 0.06 |
Film-related distress | 0.02 | 0.01 | 0.20 | ||||
CVLT-list-order | −0.74 | 0.51 | −0.20. | ||||
Learning ability | −0.01 | 0.01 | −0.11 | ||||
Neuroticism | 0.06 | 0.03 | 0.29 | ||||
CVLT-interference | 0.19 | 0.11 | 0.23 | ||||
Neuroticism*CVLT-interference | −0.22 | 0.29 | −0.10 |
IMS impact of movie scale, CVLT California verbal learning test
† P < 0.10; * P < 0.05; ** P < 0.01