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Measuring Second-Order Factors Using Confirmatory Methods

An Illustration with the Hendrick-Hendrick Love Instrument

Bibliographic Data

ID20282985
AuthorsBruce Thompson (0000-0002-5885-0652, Texas A&M University and Baylor College of Medicine), Gloria M Borrello (University of New Orleans)
Year1992
Volume52
Issue1
Pages69-77
Publication date1992-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/001316449205200107
OpenAlexW2113405926
LanguageEN
Citations received8
References cited17

The present study illustrates the application and the utility of confirmatory second-order factor analytic methods. Factor analysis is central to concerns regarding measurement validity. Confirmatory methods are especially useful, because they explicitly consider measurement error influences, and because the methods are inherently theory-driven and theory-oriented. Second-order confirmatory methods, not applied with great frequency in the literature, offer the promise of allowing the researcher to explore more thoroughly a reality which many see as being just as complex as some of the models that researchers have been led to formulate. To make the explanation of applying confirmatory second-order methods more concrete, a data set involving responses of 487 subjects to the Hendrick-Hendrick love instrument is analyzed for heuristic purposes

Confirmatory factor analysis · Heuristic · Machine learning · Order (exchange) · Set (abstract data type) · Structural equation modeling · Artificial Intelligence · Color perception and design · Computer Science · Psychology · Sensory Analysis and Statistical Methods

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Unique citing works8
Citations per year0,27
Citation span1996 - 2025 (30)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 8

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