Preliminary Proactive Sample Size Determination for Confirmatory Factor Analysis Models

Abstract

Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

• confirmatory factor analysis
• sample size
• a priori

The author wishes to thank Dennis L. Jackson for providing data for reanalysis.

Notes

Declaration of Conflicting Interests The author declared no potential conflicts of interest with respect to the research, authorship, and/orPUBLICation of this article.

Funding The author received no financial support for the research, authorship, and/orPUBLICation of this article.

Additional information

Notes on contributors

Jennifer Koran

Jennifer Koran is associate professor at Southern Illinois University Carbondale. Her research interests include structural equation modeling, multilevel modeling, growth modeling, and categorical data.