@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dcterms: <http://purl.org/dc/terms/> .
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@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
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    dcterms:description """Interaction effects are very common in the psychological literature. However, interaction effects
are typically very small and often fail to replicate. In this study, we conducted a simulation
comparing the generalizability and estimability of two linear regression models: one correctly
specified to account for interaction effects and one misspecified including simple effects only. We
manipulated noise levels, predictor variable correlations, and different sets of regression weights,
resulting in 9216 different conditions. From each dataset we drew 1000 samples of N = 25, 50,
100, 250, 500 and 1000 resulting in a total of 55.296.000 analyses for each model. Our results
show that misspecification can drastically bias regression estimates, sometimes leading to zero or
reversed simple effects. Furthermore, we found that when models are generalized to the entire
population, the difference between the explained variance in the sample and in the population is
often smaller for the misspecified model than for the correctly specified model. However, the
comparison between models shows that the correctly specified model explains the data at
population level better overall. These results emphasize the importance of theory in modeling
choices and show that it is important to provide a rationale for why interactions are included or
excluded in an analysis."""^^rdf:string ;
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