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Two Cross-Platform Programs for Inferences and Interval Estimation About Indirect Effects in Mediational Models

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  • Carl F. Falk
  • Jeremy C. Biesanz

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.

Suggested Citation

  • Carl F. Falk & Jeremy C. Biesanz, 2016. "Two Cross-Platform Programs for Inferences and Interval Estimation About Indirect Effects in Mediational Models," SAGE Open, , vol. 6(1), pages 21582440156, January.
    • Handle: RePEc:sae:sagope:v:6:y:2016:i:1:p:2158244015625445
    DOI: 10.1177/2158244015625445
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    References listed on IDEAS

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    1. Raymond Hicks & Dustin Tingley, 2011. "Causal mediation analysis," Stata Journal, StataCorp LP, vol. 11(4), pages 605-619, December.
    2. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
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