Sample Size Planning for Statistical Power and Accuracy in Parameter Estimation

2007/10/16 by Scott E. Maxwell, Ken Kelley, Joseph R. Rausch · 1 voice · 18 citations
Mathematics · #Advanced Statistical Methods and Models #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials

paper · doi:10.1146/annurev.psych.59.103006.093735

openalex publication_date 2007/10/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22

Abstract

This review examines recent advances in sample size planning, not only from the perspective of an individual researcher, but also with regard to the goal of developing cumulative knowledge. Psychologists have traditionally thought of sample size planning in terms of power analysis. Although we review recent advances in power analysis, our main focus is the desirability of achieving accurate parameter estimates, either instead of or in addition to obtaining sufficient power. Accuracy in parameter estimation (AIPE) has taken on increasing importance in light of recent emphasis on effect size estimation and formation of confidence intervals. The review provides an overview of the logic behind sample size planning for AIPE and summarizes recent advances in implementing this approach in designs commonly used in psychological research.

Citations

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• The Quality of Factor Solutions in Exploratory Factor Analysis: The Influence of Sample Size, Communality, and Overdetermination
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• How Many Subjects Does It Take To Do A Regression Analysis
• Statistical power analysis for the behavioral sciences
• Consequences of prejudice against the null hypothesis.
• Sample Size in Factor Analysis: The Role of Model Error
• Empirical Evidence for Selective Reporting of Outcomes in Randomized Trials
• Why Most Published Research Findings Are False
• Longitudinal data analysis using generalized linear models
• Structural Model Evaluation and Modification: An Interval Estimation Approach
• Handbook of Research Methods in Social and Personality Psychology

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Discussions

• Could you send me one of your sources so that I can update my references about this? So far, I have just used Maxwell (2008; doi.org/10.1146/annu... ) and the source I cited before. (There's also Cu [bsky, 1 points, 2 comments]

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