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Chapter 8: Mediation non-continuous variables

Download all Chapter 8 tables

Table View output Download input Download data
Table 8.2, pp. 319-320: Mediation analysis with a binary outcome using probit for smoking data 8.2 8.2 .inp smoking.txt
Table 8.5, pp. 322-323: Mediation analysis with a binary outcome using logit for smoking data 8.5 8.5 .inp smoking.txt
Table 8.8, pp. 326-330: Mediation analysis with a binary outcome without an intervention-mediator interaction for vaccination data 8.8 8.8 .inp Source_8.10.09.txt
Table 8.9, pp. 326-330: Mediation analysis with a binary outcome with an intervention-mediator interaction for vaccination data 8.9 8.9 .inp Source_8.10.09.txt
Table 8.12, pp. 334-335: Mediation analysis with a count outcome using a negative binomial model for school removal data 8.12 8.12 .inp Data are unavailable
Table 8.14, p. 336: Mediation analysis with a count outcome using a negative binomial model for school removal data and computing the probability of a zero count 8.14 8.14 .inp Data are unavailable
Table 8.15, p. 341: Two-part mediation model of economic stress data (Table 8.17, (1) and (2)) 8.15 8.15 .inp estress.txt*
Table 8.18, p. 345: Two-part mediation model of economic stress data for continuous part of the outcome (Table 8.17, (3)) 8.18 8.18 .inp estress.txt*
Table 8.17 (4), pp. 343-344: Two-part mediation model of economic stress data using log of the outcome (Table 8.17, (4)) 8.17 (4) 8.17 (4) .inp estress.txt*
Table 8.19, p. 346: Two-part mediation model of economic stress data using the original outcome (Table 8.17, (5)) 8.19 8.19 .inp estress.txt*
Table 8.22, pp. 351-352: Hypothetical potential outcome example (binary X and M, continuous Y) 8.22 8.22 .inp potential.txt
Table 8.26, pp. 355-356: Mediation analysis using probit with ordinal mediator for smoking data 8.26 8.26 .inp smoking.txt
Table 8.29 (Approach 2), p. 357: Ordinal mediator using WLSMV with latent mediator 8.29 (Approach 2) 8.29 (Approach 2) .inp 4cat m.txt
Table 8.29 (Approach 3), p. 357: Ordinal mediator using Bayes with observed mediator 8.29 (Approach 3) 8.29 (Approach 3) .inp smoking.txt
Table 8.29 (Approach 4), p. 357: Ordinal mediator using Bayes with latent mediator 8.29 (Approach 4) 8.29 (Approach 4) .inp 4cat m.txt
Table 8.31, pp. 359-360: Pearl’s artificial 2 x 2 x 2 mediation example 8.31 8.31 .inp n200expanded.txt
Table 8.35, pp. 364-365: Nominal mediator and binary outcome for hypothetical data 8.35 8.35 .inp nombin9expanded.txt
Table 8.40, pp. 371**: Step 1 Monte Carlo simulation with a latent mediator measured by three indicators 8.40 8.40 .inp N/A
Table 8.41, p. 372**: Step 2 external Monte Carlo simulation using a sum of indicators as the mediator 8.41 8.41 .inp Generated by 8.40
Table 8.43, p. 376: Aggressive behavior mediation model with a moderator and an observed mediator formed as a sum of four items 8.43 8.43 .inp Data are unavailable
Table 8.44, p. 377: Aggressive behavior mediation model with a moderator and a latent mediator measured by four items 8.44 8.44 .inp Data are unavailable

* This data set was downloaded from the website for the Andrew Hayes mediation book.
** Output from the developmental Mplus version of 6/1/2016 is used to avoid a problem for this type of analysis in Version 7.4.

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