Universität zu Köln

Rigdon, Edward E., Becker, Jan-Michael ORCID: 0000-0003-3013-3739 and Sarstedt, Marko ORCID: 0000-0002-5424-4268 (2019). Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement. Multivariate Behav. Res., 54 (3). S. 429 - 444. ABINGDON: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD. ISSN 1532-7906

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Abstract

Researchers have long been aware of the mathematics of factor indeterminacy. Yet, while occasionally discussed, the phenomenon is mostly ignored. In metrology, the measurement discipline of the physical sciences, uncertainty - distinct from both random error (but encompassing it) and systematic error - is a crucial characteristic of any measurement. This research argues that factor indeterminacy is uncertainty. Factor indeterminacy fundamentally threatens the validity of psychometric measurement, because it blurs the linkage between a common factor and the conceptual variable that the factor represents. Acknowledging and quantifying factor indeterminacy is important for progress in reducing this component of uncertainty in measurement, and thus improving psychological measurement over time. Based on our elaborations, we offer a range of recommendations toward achieving this goal.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Rigdon, Edward E. UNSPECIFIED UNSPECIFIED UNSPECIFIED Becker, Jan-Michael UNSPECIFIED orcid.org/0000-0003-3013-3739 UNSPECIFIED Sarstedt, Marko UNSPECIFIED orcid.org/0000-0002-5424-4268 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-148569
DOI:	10.1080/00273171.2018.1535420
Journal or Publication Title:	Multivariate Behav. Res.
Volume:	54
Number:	3
Page Range:	S. 429 - 444
Date:	2019
Publisher:	ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Place of Publication:	ABINGDON
ISSN:	1532-7906
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COMMON-FACTOR; CONSTRUCT-VALIDITY; OPTICAL CLOCKS; VALIDATION; VARIABLES; MODELS Multiple languages Mathematics, Interdisciplinary Applications; Social Sciences, Mathematical Methods; Psychology, Experimental; Statistics & Probability Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/14856