How do I compute for my sample size if the QUANT phase of my Explanatory sequential research is Mediation Analysis?

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Christian Geiser

Since you will probably use path analysis to test your mediation model, a simulation approach would be most useful to determine the optimal sample size. I offer a free mini-course on sample size planning via simulations in Mplus (a program capable of conducting path & mediation analysis) that you can find under the link below:

https://www.goquantfish.com/courses/sample-size-planning-in-mplus

Bruce Weaver

Christian Geiser, what are your thoughts about the pwrSEM Shiny Web app that Wang & Rhemtulla (2021) described? Thanks.

Article Power Analysis for Parameter Estimation in Structural Equati...

David L Morgan

Each component of your mixed methods research design will have its own standards for sample size. For your QUANT portion of the study, others have already suggested tools for estimating the sample size.

For your qual follow-up study, a typical sample size for IPA would be around five. If possible, it would strengthen your design if you could select your IPA participants systematically from the earlier participants in the QUANT research. That would allow you pick a particularly interest set of cases.

Bruce Weaver A useful app but it appears that its focus (currently) is exclusively on power. I believe that a simulation that is run "from scratch" provides greater flexibility and yields a lot more information than just on power. For example, you can simulate the effects of non-normal and missing data and evaluate the performance of fit statistics, as well as parameter and standard error bias in addition to estimating power. Power estimations can be misleading when your SEM parameters or standard errors are biased due to, for example, an insufficient sample size.

Thanks Christian Geiser.

Catherine Mendoza Diño

Would it be appropriate to use G*power? I'm also still figuring the effect size. What is the best way to do this?