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Cited by 416Psychometric Methodologies and TestingHealth Education and ValidationStatistical Methods in Epidemiology

The DOI matches its Crossref record; 17 of the 20 references it cites were found in a registry or an index.

Minimizing Sample Size When Using Exploratory Factor Analysis for Measurement

Sapnas, Kathryn G., Zeller, Richard A.·2002·Journal of Nursing Measurement
DOI 10.1891/jnum.10.2.135.52552
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Abstract

Traditional protocol for the determination of an adequate sample size is power analysis. Such a protocol is not useful when the primary hypothesis focuses on psychometric measurement properties. Traditional psychometrics advises that there should be 10 respondents per item. Both hypothetical and real research examples illustrate the usefulness of subsample analysis in determining that a sample size of at least 50 and not more than 100 subjects is adequate to represent and evaluate the psychometric properties of measures of social constructs. The "10 respondents per item" advice builds a sample size disincentive into the research design; it also represents "sample size overkill." Sample-size overkill occurs when the research design specifies a number of cases needed, which is in excess of the number actually needed for a desired inference.

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3 of the 20 references couldn’t be matched to a known paper.

Research works printed but not linked: 3

  1. Kerlinger, F. (1986). Factor analysis. In F. Kerlinger, Foundations in behavioral research (3rd ed., pp. 569-593). Fort Worth: Holt, Rinehart, and Winston.
  2. 10.1037//1082-989X.4.1.84 · DOI · Paper page
  3. Zeller, R. A. (1980). Measurement in the social sciences. London: Cambridge University Press.

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Metadata

Authors
Sapnas, K. G., & Zeller, R. A.
Affiliations
  • University of Miami (US)
  • Kent State University (US)
Venue
Journal of Nursing Measurement
Publisher
Springer Publishing Company
Published
2002-09
Volume
10
Issue
2
Pages
135-154
ISSN
  • 1061-3749 (ISSN-L)
  • 1945-7049
DOI
10.1891/jnum.10.2.135.52552
OpenAlex
W2088701782
Cited by
405
References
20
Citations by year
2026: 24 · 2025: 26 · 2024: 30 · 2023: 34 · 2022: 28 · 2021: 19 · 2020: 22 · 2019: 17 · 2018: 27 · 2017: 22 · 2016: 28 · 2015: 20 · 2014: 24 · 2013: 17 · 2012: 15
FWCI
5.46
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Nursing Measurement (publishedVersion)
  • PubMed (publishedVersion)
Funders
University of Miami
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Health Sciences › Nursing › Research and Theory › Health Education and Validation
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
sample size determination, exploratory factor analysis, psychometric assessment, power analysis, measurement properties
MeSH terms
Computer Simulation, Factor Analysis, Statistical, Humans, Monte Carlo Method, Psychometrics, Likelihood Functions, Sample Size

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