Predicting emotions: results from multilevel modeling.
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https://figshare.com/articles/dataset/_Predicting_emotions_results_from_multilevel_modeling_/967480
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资源简介:
Model 1 = combined model; Model 2 = combined dataset with German sample as reference group; Model 3 = combined dataset with Swiss sample as reference group.
Description of variables: Trait = Trait dummy (0 = state, 1 = trait); CH_dummy = Swiss dummy (0 = German sample, 1 = Swiss sample); DE_dummy = German dummy (0 = Swiss sample, 1 = German sample).
German sample: NLevel 1 = 509; NLevel 2 = 94; NLevel 3 = 39; Swiss sample: NLevel 1 = 880; NLevel 2 = 131; NLevel 3 = 41.
Explanatory power refers to the proportion of slope variance explained by the Level 2 and Level 3 predictors. The slope variance of the models in which no cross-level interaction is included was: τ11 = 0.178 for enjoyment in the combined model and τ11 = 0.134 in the German/Swiss model; τ11 = 0.341 for pride in the combined model and τ11 = 0.203 in the German/Swiss model; τ11 = 0.354 for anger in the combined model and τ11 = 0.269 in the German/Swiss model; τ11 = 0.366 for anxiety in the combined model and τ11 = 0.325 in the German/Swiss model.
*p<.05,
**p<.01,
***p<.001.
创建时间:
2014-03-19



