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ERIC Number: EJ1178839
Record Type: Journal
Publication Date: 2018-Jun
Pages: 13
Abstractor: As Provided
ISSN: ISSN-0013-1644
On Studying Common Factor Dominance and Approximate Unidimensionality in Multicomponent Measuring Instruments with Discrete Items
Raykov, Tenko; Marcoulides, George A.
Educational and Psychological Measurement, v78 n3 p504-516 Jun 2018
This article outlines a procedure for examining the degree to which a common factor may be dominating additional factors in a multicomponent measuring instrument consisting of binary items. The procedure rests on an application of the latent variable modeling methodology and accounts for the discrete nature of the manifest indicators. The method provides point and interval estimates (a) of the proportion of the variance explained by all factors, which is due to the common (global) factor and (b) of the proportion of the variance explained by all factors, which is due to some or all other (local) factors. The discussed approach can also be readily used as a means of assessing approximate unidimensionality when considering application of unidimensional versus multidimensional item response modeling. The procedure is similarly utilizable in case of highly discrete (e.g., Likert-type) ordinal items, and is illustrated with a numerical example.
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A