Cited by 4,116Psychometric Methodologies and TestingStatistical Methods and ApplicationsMental Health Research Topics

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SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test

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O’connor, Brian P.·2000·Behavior Research Methods, Instruments, & Computers

Abstract

Popular statistical software packages do not have the proper procedures for determining the number of components in factor and principal components analyses. Parallel analysis and Velicer's minimum average partial (MAP) test are validated procedures, recommended widely by statisticians. However, many researchers continue to use alternative, simpler, but flawed procedures, such as the eigenvalues-greater-than-one rule. Use of the proper procedures might be increased if these procedures could be conducted within familiar software environments. This paper describes brief and efficient programs for using SPSS and SAS to conduct parallel analyses and the MAP test.

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Metadata

Authors
O’connor, B. P.
Affiliations
Lakehead University (CA)
Corresponding author
O’connor, Brian P.
Venue
Behavior Research Methods, Instruments, & Computers
Published
2000-09
Volume
32
Issue
3
Pages
396-402
ISSN
  • 0743-3808 (ISSN-L)
  • 1532-5970
OpenAlex
W2124563089
Cited by
4,116
References
24
Citations by year
2026: 140 · 2025: 161 · 2024: 212 · 2023: 190 · 2022: 234 · 2021: 268 · 2020: 285 · 2019: 245 · 2018: 249 · 2017: 286 · 2016: 227 · 2015: 252 · 2014: 221 · 2013: 207 · 2012: 169
FWCI
12.64
Type
journal article
Language
en
Open access
Locations
  • Behavior Research Methods, Instruments, & Computers (publishedVersion)
  • PubMed (publishedVersion)
Funders
Social Sciences and Humanities Research Council of Canada
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
number of components, parallel analysis, factor analysis, principal component analysis, SAS program
MeSH terms
Factor Analysis, Statistical, Psychology, Software

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