The phrase "a moderator model" is correct and usable in written English.
It can be used in contexts related to statistics, research, or discussions about models that account for moderating variables in data analysis.
Example: "In our study, we employed a moderator model to examine how the relationship between stress and performance was influenced by social support."
Alternatives: "a mediating model" or "a regulatory model".
Subscripts refer to young (y) or old (o) and males (m) or females (f), respectively In line with the findings for the unmoderated FSIQ model, the unmoderated parts of the variance components (parameters a, c and e) could be equated across sex and cohort (in all moderator models: Model 1a vs Model 1: χ(9) < 14.59, ns).
The intercepts, i.e., the unmoderated part of the means model, could also be equated across sex and cohort (in all moderator models: Model 1b vs Model 1a: χ(3) < 6.08, ns), and shared environment effects could be dropped from the model (in all moderator models: Model 1c vs Model 1b: χ(1) < 1.10, ns).
Modularity in design is hypothesized as a moderator of model relationships because it can serve as a substitute for formal or informal controls in a "controls portfolio".
The significant effect of the moderator variable supports Hypothesis 3. The changes in R 2 in the moderator model would support Hypothesis 4, suggesting that test anxiety moderates the link between testing conditions and the final cumulative test.
The moderator model (see Fig. 1c) described by Purcell (2002) was applied in which the effect of a moderator is introduced on the prevalence (i.e., the main effect of the moderator), and the variance components (i.e., GE interaction effect of the moderator).
To investigate whether the extended univariate moderation model results in the correct false positive rate of 5%, we re-analyzed the data-sets created under Simulation study 1 using the extended univariate moderator model.
The false positive rate of the extended univariate moderator model is in most cases not significantly different from 5%, and where it is (when variance in M is completely due to C, and thus rM1,M2 = 1), it is too low, i.e. the test is too conservative.
Purcell [27] has articulated several genetic-environmental moderator models, implemented them in Mx software [28], and made them freely available on his website (http://pngu.mgh.harvard.edu/~purcell/gxe/).edu/~purcell/gxe/
This investigation involved testing of both mediator and moderator models.
