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Article

Interactions Between Latent Variables in Count Regression Models

2023-09-04

Abstract excerpt

<p>In psychology and the social sciences, researchers often model count outcome variables accounting for latent covariates and their interaction effects. Even though neglecting measurement error in such count regression models (e.g., Poisson or negative binomial regression) can have unfavorable consequences like attenuation bias, such analyses are often carried out in the generalized linear model (GLM) framework u...

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Literature Corpus work
357d178d-18aa-5266-aa80-a5795d8e6931
DOI
10.31234/osf.io/d9rj3
Open publication

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Interactions Between Latent Variables in Count Regression ModelsDOI 10.31234/osf.io/d9rj3
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