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Developing and Validating Rapid Assessment Instruments$
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Neil Abell, David W. Springer, and Akihito Kamata

Print publication date: 2009

Print ISBN-13: 9780195333367

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195333367.001.0001

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Factor Analysis

Factor Analysis

Chapter:
(p.131) 6 Factor Analysis
Source:
Developing and Validating Rapid Assessment Instruments
Author(s):

Neil Abell

David W. Springer

Akihito Kamata

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195333367.003.0006

This chapter presents basics of factor analysis modeling, focusing on its use and interpretations in scale and test development contexts. Two approaches to such analyses are discussed: exploratory factor analysis (EFA), in which one explores what factor structure the data represent; and confirmatory factor analysis (CFA), where one attempts to confirm a hypothesized factor structure. Text and illustrations demonstrate how one can use factor analysis results for deciding which items should be retained or deleted from a scale or test instrument. Model fit evaluation is discussed through the chi-square statistic, as well as some fit indices and information criteria. Uses of a CFA with covariates (MIMIC) and multiple-group CFA approaches for measurement invariance studies are also demonstrated. Lastly, basics of item response theory (IRT) modeling are introduced by demonstrating its parameter estimation and interpretations.

Keywords:   exploratory factor analysis, EFA, confirmatory factor analysis, CFA, fit indices, measurement invariance, CFA with covariates, MIMIC, multiple-group CFA, item response theory

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