Note on the Parallel Analysis Criterion for Determining the Number of Common Factors or Principal Components
Bibliographic Data
| ID | 13664051 |
|---|---|
| Authors | A B Silverstein (MRRC-Lanterman Developmental Center Research Group, UCLA School of Medicine, corresponding author) |
| Year | 1987 |
| Volume | 61 |
| Issue | 2 |
| Pages | 351-354 |
| Publication date | 1987-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Psychological Reports (JOURNAL) |
| Journal identifiers | ISSN: 0033-2941 • E-ISSN: 1558-691X |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.2466/pr0.1987.61.2.351 |
| PMID | 3432472 |
| OpenAlex | W1982724808 |
| Language | EN |
| Citations received | 6 |
| References cited | 10 |
A brief history of parallel analysis is given, and the application of the parallel analysis criterion is illustrated with three examples, using both squared multiple correlations and unities in the diagonal. Investigators are encouraged to employ this as one criterion in deciding on the number of factors or components
Arithmetic · Diagonal · Principal component analysis · Statistics · Leaf Properties and Growth Measurement · Mathematics · Psychology · Sensory Analysis and Statistical Methods · Statistical Methods and Applications
Factor Retention Decisions in Exploratory Factor Analysis
Development and Initial Validation of a Spiritual Support Subscale for the MOS Social Support Survey
Comparing Different Methods for Implementing Parallel Analysis
A Variable Selection Algorithm for Creating Replicable Factor Structures
Update on the Parallel Analysis Criterion for Determining the Number of Principal Components
Applying the revised Chinese Job Content Questionnaire to assess psychosocial work conditions among Taiwan's hospital workers
A Rationale and Test for the Number of Factors in Factor Analysis
Note On a Criterion for the Number of Common Factors
An Investigation of the Parallel Analysis Criterion for Determining the Number of Common Factors
A Note on Horn's Test for the Number of Factors in Factor Analysis
Notes and Commentary
Multiple factor analysis
Comparison of five rules for determining the number of components to retain
| Unique citing works | 6 |
|---|---|
| Citations per year | 0.17 |
| Citation span | 1990 - 2023 (34) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 6 |