Minimum Sample Size Recommendations for Conducting Factor Analyses

By Daniel J. Mundfrom, Dale G. Shaw, Tian-Lu Ke. 2005

1,549 citations recorded by the source corpus.

Subfields: Food Science, Management Science and Operations Research, Social Psychology

View Paper: https://www.semanticscholar.org/paper/fff6c624d81436d3085d3f55b41111e68b91542d

How researchers see this paper

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

In Food Science

1. J. D. de Winter
2. Dimitra Dodou
3. Marley W. Watkins
4. Matt C. Howard

In Management Science and Operations Research

1. Marley W. Watkins
2. J. D. de Winter
3. Dimitra Dodou
4. Peter A. Wieringa
5. Matt C. Howard
6. Serena Carpenter
7. Caroline Chaffer
8. Jill J. Webb

In Social Psychology

1. J. D. de Winter
2. Dimitra Dodou
3. Marley W. Watkins

Citations in the corpus

• Exploratory Factor Analysis With Small Sample Sizes (2009, background): “Another recent Monte Carlo study by Mundfrom, Shaw, and Ke (2005) also showed that if communalities are high and the number of factors is small, factor analysis can be reliable for sample sizes well below 50.”
• Exploratory Factor Analysis: A Guide to Best Practice (2018, background): “Based on the average factor loadings found in prior research (Gilman, Laughlin, & Huebner, 1999), it was anticipated that 197 participants would allow excellent recovery of the population factor solution (Mundfrom & Shaw, 2005).”