Sentence examples for more moderator variables from inspiring English sources

A significant Q value means that effect sizes are not homogeneous, suggesting the presence of one or more moderator variables There were very few studies that used erotic (less explicit) stimuli.

A significant Q value means that effect sizes are not homogeneous, suggesting the presence of one or more moderator variables Note: Selected studies refer to basic samples, without experimental manipulations, and with standard external sexual stimuli.

A significant Q value means that effect sizes are not homogeneous, suggesting the presence of one or more moderator variables We predicted that basic samples would produce higher estimates of subjective-genital agreement than clinical samples of sexually dysfunctional participants.

A significant Q value means that effect sizes are not homogeneous, suggesting the presence of one or more moderator variables The results presented in Tables  9 and 10 were remarkably consistent across type of correlation.

A significant Q value means that effect sizes are not homogeneous, suggesting the presence of one or more moderator variables This analysis was presented earlier in the section examining the overall gender difference.

A significant Q value means that effect sizes are not homogeneous, suggesting the presence of one or more moderator variables Seven studies (n = 222) directly compared women's responses to visual versus non-visual stimuli, producing average correlations of.3795%CI,.23to.51o.51) and.13 (95% CI, −.04 to.31), respectively; once again, higher correlations were obtained for visual stimuli.

The reviewers recommended that future research apply a bio-psycho-social model and that the various predictors should be analyzed in a more sophisticated way allowing moderator variables to be uncovered.

Turning to the analysis of experimental data, we describe the methods for estimating treatment effects, interactions, and more complex indirect effects stemming from either mediator or moderator variables.

I considered the following moderator variables: firm size (differentiating between firms with more than 250 employees and smaller firms) qualification structure (employment of workers without formal vocational qualification) a binary variable taking on the value 1 if firm representatives find CVT to be a "very important" means of reducing turnover.

We believe there is an interesting opportunity for future research to unpack in more detail the mutually exclusive and inclusive influence of context and moderator variables that might (or might not) exist independent of that context.

The analysis of the moderator variables was applied for the two meta-analyses that included 10 or more studies: behaviours and knowledge in the posttest.