Minimizing Sample Size When Using Exploratory Factor Analysis for Measurement

By K. Sapnas, R. Zeller. Journal of Nursing Measurement, 2002

386 citations recorded by the source corpus.

Subfields: Clinical Psychology, Social Psychology, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/7eeeeda99d659b201ff8f099fed38f8441f156be

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. J. D. de Winter
2. Dominique Muller
3. Andrew F. Hayes
4. E. Wan
5. Adam M. Grant

In Social Psychology

1. Céline Darnon
2. Fabrizio Butera
3. Sheree M. Schrager
4. Nelly Pannuzzo
5. J. D. de Winter
6. Dominique Muller
7. Dimitra Dodou
8. Caroline Pulfrey

In Sociology and Political Science

1. J. D. de Winter
2. Dominique Muller
3. Peter A. Wieringa
4. Dimitra Dodou
5. Céline Darnon
6. Fabrizio Butera
7. Caroline Chaffer
8. Jill J. Webb

Citations in the corpus

• Mastery and performance goals predict epistemic and relational conflict regulation (2006, background): “Some authors, however, have argued that factor analysis can be conducted on small samples (between 50 and 100 participants, as in our samples; Sapnas & Zeller, 2002).”
• Exploratory Factor Analysis With Small Sample Sizes (2009, background): “Sapnas and Zeller (2002) determined adequate sample sizes for principal component analysis and suggested that a sample size between 50 and 100 was adequate to evaluate psychometric properties of measures of social constructs.”