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A practical and theoretical guide to measurement invariance in aging research

Bibliographic Data

ID23372001
AuthorsJohn L Horn (University of Southern California), John J Mcardle (University of Virginia)
Year1992
Volume18
Issue3
Pages117-144
Publication date1992-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueExperimental Aging Research (JOURNAL)
Journal identifiersISSN: 0361-073X • E-ISSN: 1096-4657
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/03610739208253916
PMID1459160
OpenAlexW2010699191
LanguageEN
Citations received374
References cited35

We describe mathematical and statistical models for factor invariance. We demonstrate that factor invariance is a condition of measurement invariance. In any study of change (as over age) measurement invariance is necessary for valid inference and interpretation. Two important forms of factorial invariance are distinguished: "configural" and "metric". Tests for factorial invariance and the range of tests from strong to weak are illustrated with multiple group factor and structural equation modeling analyses (with programs such as LISREL, COSAN, and RAM). The tests are for models of the organization and age changes of intellectual abilities. The models are derived from current theory of fluid (Gf) and crystallized (Gc) abilities. The models are made manifest with measurements of the WAIS-R in the standardization sample. Although this is a methodological paper, the key issues and major principles and conclusions are presented in basic English, devoid of technical details and obscure notation. Conceptual principles of multivariate methods of data analysis are presented in terms of substantive issues of importance for the science of the psychology of aging.

Arithmetic · Cognitive psychology · Confirmatory factor analysis · Econometrics · Factor analysis · Factorial · Inference · Interpretation (philosophy) · LISREL · Measurement invariance · Metric (unit) · Notation · Range (aeronautics) · Sample (material) · Statistics · Structural equation modeling · Advanced Statistical Modeling Techniques · Artificial Intelligence · Cognitive Abilities and Testing · Computer Science · Mathematics · Mental Health Research Topics · Psychology

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Unique citing works374
Citations per year10,69
Citation span1991 - 2026 (36)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 338

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