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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 |