Chapter 9: Bayesian analysis

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Table 9.1 (Part 1), p. 392: Bayesian analysis of bivariate LSAY data on math achievement using CHAINS=1 and FBITERATIONS = 200	9.1 (Part 1)	9.1 (Part 1) .inp	lsaydropout.dat
Table 9.1 (Part 2), p. 392: Bayesian analysis of bivariate LSAY data on math achievement using PROCESSORS = 2 and BITERATIONS = (10000)	9.1 (Part 2)	9.1 (Part 2) .inp	lsaydropout.dat
Table 9.3, pp. 405-411: Bayesian analysis of the parallel media model	9.3	9.3 .inp	pmi.txt*
Table 9.9, p. 414: Bayesian analysis of firefighter mediation model using non-informative priors	9.9	9.9 .inp	fire.dat
Table 9.11, pp. 415: Bayesian analysis of firefighter mediation model using informative priors	9.11	9.11 .inp	fire.dat
Table 9.14 (Part 1), pp. 420-422: Bayesian mediation analysis with missing data on the mediator for high school dropout data	9.14 (Part 1)	9.14 (Part 1) .inp	lsaydropout.dat
Table 9.14 (Part 2), p. 423: ML analysis with missing data on the mediator for high school dropout data	9.14 (Part 2)	9.14 (Part 2) .inp	lsaydropout.dat
Table 9.16, p. 426: Bayesian mediation analysis acknowledging that some control variable are binary for high school dropout data	9.16	9.16 .inp	lsaydropout.dat

* This data set was downloaded from the website for the Andrew Hayes mediation book.

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