Distribution of the product confidence limits for the indirect effect: program PRODCLIN - PubMed (original) (raw)

Distribution of the product confidence limits for the indirect effect: program PRODCLIN

David P MacKinnon et al. Behav Res Methods. 2007 Aug.

Abstract

This article describes a program, PRODCLIN (distribution of the PRODuct Confidence Limits for INdirect effects), written for SAS, SPSS, and R, that computes confidence limits for the product of two normal random variables. The program is important because it can be used to obtain more accurate confidence limits for the indirect effect, as demonstrated in several recent articles (MacKinnon, Lockwood, & Williams, 2004; Pituch, Whittaker, & Stapleton, 2005). Tests of the significance of and confidence limits for indirect effects based on the distribution of the product method have more accurate Type I error rates and more power than other, more commonly used tests. Values for the two paths involved in the indirect effect and their standard errors are entered in the PRODCLIN program, and distribution of the product confidence limits are computed. Several examples are used to illustrate the PRODCLIN program. The PRODCLIN programs in rich text format may be downloaded from www.psychonomic.org/archive.

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Figures

Figure 1

Figure 1

The indirect effect model.

Figure 2

Figure 2

Flow chart for the PRODCLIN program SAS.

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References

    1. Ajzen I, Fishbein M. Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall; 1980.
    1. Aroian LA. The probability function of the product of two normally distributed variables. Annals of Mathematical Statistics. 1944;18:265–271.
    1. Aroian LA, Taneja VS, Cornwell LW. Mathematical forms of the distribution of the product of two normal variables. Communications in Statistics: Theory & Methods. 1978;7:165–172.
    1. Bentler P. EQS for Windows (Version 5.6). [Computer program] Encino, CA: Multivariate Software, Inc; 1997.
    1. Bishop YMM, Fienberg SE, Holland PW. Discrete multivariate analysis: Theory and practice. Cambridge, MA: MIT Press; 1975.

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