 Two Cross-Platform Programs for Inferences and Interval Estimation About Indirect Effects in Mediational ModelsCarl F. Falk and Jeremy C. Biesanz SAGE Open, 2016, vol. 6, issue 1, 2158244015625445 Abstract: In this article, we describe two new programs that compute both p -values and confidence intervals (CI) for the indirect effect in mediational models, including (a) a p -value based on the partial posterior method, which we refer to as p 3 computed across the posterior distribution of the regression coefficients; (b) a variant of p 3 that uses a normal approximation for the posterior distributions, p 3N ; (c) Hierarchical Bayesian CIs (CI HB ) based on the posterior distributions of the regression coefficients; and (d) CIs based on the Monte Carlo method (CI MC ). These programs do not require access to raw data as do resampling methods. Similar to Sobel’s test, p 3 and p 3N constitute a single p -value for the indirect effect while performing substantially better in terms of Type I and II error rates. Furthermore, we include a memory efficient computational algorithm for CI HB and CI MC that allows for precision beyond that in existing alternative implementations. The underlying programs can utilize multicore processors, and their performance is tested through a simulation study. Finally, the use of these programs is illustrated with an empirical example. Keywords: mediation analysis; indirect effect; confidence intervals; inference (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:6:y:2016:i:1:p:2158244015625445 Access Statistics for this article More articles in SAGE Open |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.