Exploring the Sensitivity of Horn's Parallel Analysis to the Distributional Form of Random Data
Dados Bibliográficos
| ID | 19289751 |
|---|---|
| Autores | Alexis Dinno (0000-0003-2560-310X, a Center for Tobacco Control Research and Education , University of California , San Francisco, autor correspondente) |
| Ano | 2009 |
| Volume | 44 |
| Fascículo | 3 |
| Páginas | 362-388 |
| Data de publicação | 2009-06-22 |
| Peer Reviewed | Sim |
| Open Access | Não |
| Tipo | ARTICLE |
| Periódico | Multivariate Behavioral Research (JOURNAL) |
| Identificadores do periódico | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273170902938969 |
| PMID | 20234802 |
| PMCID | PMC2838619 |
| OpenAlex | W2093636276 |
| Idioma | EN |
| Citações recebidas | 43 |
| Referências citadas | 32 |
Horn's parallel analysis (PA) is the method of consensus in the literature on empirical methods for deciding how many components/factors to retain. Different authors have proposed various implementations of PA. Horn's seminal 1965 article, a 1996 article by Thompson and Daniel, and a 2004 article by Hayton, Allen, and Scarpello all make assertions about the requisite distributional forms of the random data generated for use in PA. Readily available software is used to test whether the results of PA are sensitive to several distributional prescriptions in the literature regarding the rank, normality, mean, variance, and range of simulated data on a portion of the National Comorbidity Survey Replication (Pennell et al., 2004) by varying the distributions in each PA. The results of PA were found not to vary by distributional assumption. The conclusion is that PA may be reliably performed with the computationally simplest distributional assumptions about the simulated data
Combinatorics · Econometrics · Normality · Range (aeronautics) · Rank (graph theory) · Replication (statistics) · Sensitivity (control systems) · Statistics · Variance (accounting) · Advanced Statistical Modeling Techniques · Computer Science · Genetics and Plant Breeding · Mathematics · Statistical Methods and Bayesian Inference
Scientific thinking in elementary school
Predictors of behavioral regulation in kindergarten
Development and Validation of a Scale Measuring Satisfaction with Maternal and Newborn Health Care Following Childbirth
Developing an Ethical Perspectives Scale
An empirical Kaiser criterion.
Dimensionality assessment of ordered polytomous items with parallel analysis.
Exploratory graph analysis
Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis
Exploratory factor analysis
Loneliness in Intimate Relationships Scale (Lirs)
Construction of a Quality of Life Questionnaire for slowly progressive neuromuscular disease
Effects of Cross-loadings on Determining the Number of Factors to Retain
The quality of international mobility experiences, general self-efficacy and job search self-efficacy
On Horn’s approximation to the sampling distribution of eigenvalues from random correlation matrices in parallel analysis
Cognitive dependencies and psychological health correlates of coherence in autobiographical reasoning
Application of Q-methodology for identifying factors of acceptance of spatial planning instruments
Academic Perseverance in Foreign Language Learning
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(Cyber)Rape Culture
The Acceptance of Myths About Intimate Partner Violence Against Women (Amivaw) Scale
Autobiographical memory sources of threats in dreams
Type I and Type II Error Rates and Overall Accuracy of the Revised Parallel Analysis Method for Determining the Number of Factors
Factor Retention in Exploratory Factor Analysis With Missing Data
Investigating Parallel Analysis in the Context of Missing Data
The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation
The expression and recognition of emotions in the voice across five nations
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The Sources of Four Commonly Reported Cutoff Criteria
Construct Explication through Factor or Component Analysis
Stopping Rules in Principal Components Analysis
Factor Retention Decisions in Exploratory Factor Analysis
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The development and implementation of the National Comorbidity Survey Replication, the National Survey of American Life, and the National Latino and Asian American Survey
The Application of Exploratory Factor Analysis in Applied Psychology
The control of the false discovery rate in multiple testing under dependency
A Rationale and Test for the Number of Factors in Factor Analysis
Controlling the False Discovery Rate
Factor Analytic Evidence for the Construct Validity of Scores
An Improvement on Horn's Parallel Analysis Methodology for Selecting the Correct Number of Factors to Retain
The Application of Electronic Computers to Factor Analysis
Assessing Sampling Variation Relative to Number-of-Factors Criteria
Comparing Different Methods for Implementing Parallel Analysis
Cattell's Scree Test In Relation To Bartlett's Chi-Square Test And Other Observations On The Number Of Factors Problem
A Regression Equation for the Parallel Analysis Criterion in Principal Components Analysis
Component Analysis versus Common Factor Analysis
A Comparison of Alternatives to Conducting Monte Carlo Analyses for Determining Parallel Analysis Criteria
Notes and Commentary
A Regression Equation for Determining the Dimensionality of Data
Comparison of Two Criteria for Determining the Number of Factors
The Scree Test For The Number Of Factors
Comparison of five rules for determining the number of components to retain
The eigenvalues-greater-than-one rule and the reliability of components
Alternative Ways of Assessing Model Fit
| Obras citantes distintas | 43 |
|---|---|
| Citações por ano | 2,87 |
| Intervalo de citações | 2011 - 2025 (15) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 41 |