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Title: Ordinal Factor Analysis of Graded-Preference Questionnaire Data
Author: Brown, Anna
Maydeu, Alberto
Keywords: Qüestionaris
Processament de dades
Conducta (Psicologia)
Data processing
Human behavior
Issue Date: 22-Nov-2017
Publisher: Taylor and Francis
Abstract: We introduce a new comparative response format, suitable for assessing personality and similar constructs. In this "graded-block" format, items measuring different constructs are first organized in blocks of 2 or more; then, pairs are formed from items within blocks. The pairs are presented 1 at a time to enable respondents expressing the extent of preference for 1 item or the other using several graded categories. We model such data using confirmatory factor analysis (CFA) for ordinal outcomes. We derive Fisher information matrices for the graded pairs, and supply R code to enable computation of standard errors of trait scores. An empirical example illustrates the approach in low-stakes personality assessments and shows that similar results are obtained when using graded blocks of size 3 and a standard Likert format. However, graded-block designs might be superior when insufficient differentiation between items is expected (due to acquiescence, halo, or social desirability).
Note: Versió postprint del document publicat a:
It is part of: Structural Equation Modeling: A Multidisciplinary Journal, 2017, vol. 25, num. 4, p. 516-529
Related resource:
ISSN: 1070-5511
Appears in Collections:Articles publicats en revistes (Psicologia Clínica i Psicobiologia)

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