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Cited by 595

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Full-Information Item Bi-Factor Analysis

Gibbons, Robert D., Hedeker, Donald R.·1992·Psychometrika

Abstract

A plausible s-factor solution for many types of psychological and educational tests is one that exhibits a general factor and s − 1 group or method related factors. The bi-factor solution results from the constraint that each item has a nonzero loading on the primary dimension and at most one of the s − 1 group factors. This paper derives a bi-factor item-response model for binary response data. In marginal maximum likelihood estimation of item parameters, the bi-factor restriction leads to a major simplification of likelihood equations and (a) permits analysis of models with large numbers of group factors; (b) permits conditional dependence within identified subsets of items; and (c) provides more parsimonious factor solutions than an unrestricted full-information item factor analysis in some cases.

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Metadata

Authors
Gibbons, R. D., & Hedeker, D. R.
Venue
Psychometrika
Published
1992-09
Volume
57
Issue
3
Pages
423-436
ISSN
  • 0033-3123 (ISSN-L)
  • 1860-0980
OpenAlex
W2626678763
Cited by
595
References
1
FWCI
0.00
Type
journal article
Language
en
Open access
closed

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