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Uncertain inference in random intercept cross-lagged panel models: An example involving need for cognition and anxiety and depression symptoms

2022-05-01

Abstract excerpt

<p>Background: Using random-intercept cross-lagged panel models (RI-CLPM), researchers have concluded that within-individual need for cognition (WI-NFC) negatively affects subsequent within-individual anxiety and depression symptoms (WI-ADS). However, RI-CLPM may be susceptible to spurious results due to regression to the mean. We investigated the risk of spurious associations by fitting two different RI-CLPM:s an...

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Literature Corpus work
59dd87d2-afd1-5c08-a1d0-0605609643fc
DOI
10.31234/osf.io/2a5gp
Open publication

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Uncertain inference in random intercept cross-lagged panel models: An example involving need for cognition and anxiety and depression symptomsDOI 10.31234/osf.io/2a5gp
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