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Chapter 9: Bayesian analysis

Download all Chapter 9 tables

Table View output Download input Download data
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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