Determining the Number of Factors to Retain in EFA: An easy-to-use computer program for carrying out Parallel Analysis

Parallel Analysis is a Monte Carlo simulation technique that aids researchers in determining the number of factors to retain in Principal Component and Exploratory Factor Analysis. This method provides a superior alternative to other techniques that are commonly used for the same purpose, such as th...

Full description

Saved in:
Bibliographic Details
Published inPractical assessment, research & evaluation Vol. 12; p. 2
Main Authors Ledesma, Rubén Daniel, Valero-Mora, Pedro
Format Journal Article
LanguageEnglish
Published College Park Practical Assessment, Research and Evaluation, Inc 01.01.2007
Subjects
Behavioral Sciences
Computer Software
Correlation
Educational Objectives
Electronic Journals
Examiners
Factor Analysis
Monte Carlo simulation
Researchers
Simulation
Online AccessGet full text
ISSN1531-7714

Cover

More Information
Summary:Parallel Analysis is a Monte Carlo simulation technique that aids researchers in determining the number of factors to retain in Principal Component and Exploratory Factor Analysis. This method provides a superior alternative to other techniques that are commonly used for the same purpose, such as the Scree test or the Kaiser's eigenvalue-greater-than-one rule. Nevertheless, Parallel Analysis is not well known among researchers, in part because it is not included as an analysis option in the most popular statistical packages. This paper describes and illustrates how to apply Parallel Analysis with an easy-to-use computer program called ViSta-PARAN. ViSta-PARAN is a user-friendly application that can compute and interpret Parallel Analysis. Its user interface is fully graphic and includes a dialog box to specify parameters, and specialized graphics to visualize the analysis output.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1531-7714