A comparison of the type I error rates of three assessment methods for indirect effects

DOI10.1080/00949655.2019.1577858OpenAlexW2914645669WikidataQ128420022 ScholiaQ128420022MaRDI QIDQ5107394

Pier-Olivier Caron

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://r-libre.teluq.ca/1630/9/Caron%28accepted%29_JSCS.pdf

zbMATH Keywords

bootstrapMonte-Carlo simulationspath analysismediation analysisBaron and Kennymultivariate delta methodSobel test

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Testing independence between two nonhomogeneous point processes in time

Uses Software

• R

Cites Work

• How many principal components? Stopping rules for determining the number of non-trivial axes revisited
• The Method of Path Coefficients
• A Monte Carlo examination of the broken-stick distribution to identify components to retain in principal component analysis

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