Confirmatory Factor Analysis using Amos, LISREL, Mplus, SAS/STAT CALIS

Loading...
Thumbnail Image
If you need an accessible version of this item, please email your request to iusw@iu.edu so that they may create one and provide it to you.
Date
2009
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Factor analysis is a statistical method used to find a small set of unobserved variables (also called latent variables, or factors) which can account for the covariance among a larger set of observed variables (also called manifest variables). A factor is an unobservable variable that is assumed to influence observed variables. Scores on multiple tests may be indicators of intelligence (Spearman, 1904); political liberties and popular sovereignty may measure the quality of a country’s democracy (Bollen, 1980); or issue emphases in election manifestos may signify a political party’s underlying ideology (Gabel & Huber, 2000). Factor analysis is also used to assess the reliability and validity of measurement scales (Carmines & Zeller, 1979).
Description
Keywords
Confirmatory Factor Analysis, Amos, LISREL, Mplus, SAS/STAT CALIS
Citation
DOI
Link(s) to data and video for this item
Relation
Rights
Copyright 2015 by the Trustees of Indiana University. This content is released under the Creative Commons Attribution 3.0 Unported license (http://creativecommons.org/licenses/by/3.0/).
Type