Effects of Estimation Methods on Making Trait-Level Inferences from Ordered Categorical Items for Assessing Psychopathology

Autor/inn/en	Dumenci, Levent; Achenbach, Thomas M.
Titel	Effects of Estimation Methods on Making Trait-Level Inferences from Ordered Categorical Items for Assessing Psychopathology
Quelle	In: Psychological Assessment, 20 (2008) 1, S.55-62 (8 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1040-3590
Schlagwörter	Psychopathology; Likert Scales; Measures (Individuals); Factor Analysis; Inferences; Item Response Theory; Evaluation Methods; Scores; Tests; Personality Measures; Attitude Measures + Suchen Sie Ihr Suchwort? Psychopathologie; Likert-Skala; Messdaten; Faktorenanalyse; Inference; Inferenz; Item-Response-Theorie; Examination; Prüfung; Examen
Abstract	In assessments of attitudes, personality, and psychopathology, unidimensional scale scores are commonly obtained from Likert scale items to make inferences about individuals' trait levels. This study approached the issue of how best to combine Likert scale items to estimate test scores from the practitioner's perspective: Does it really matter which method is used to estimate a trait? Analyses of 3 data sets indicated that commonly used methods could be classified into 2 groups: methods that explicitly take account of the ordered categorical item distributions (i.e., partial credit and graded response models of item response theory, factor analysis using an asymptotically distribution-free estimator) and methods that do not distinguish Likert-type items from continuously distributed items (i.e., total score, principal component analysis, maximum-likelihood factor analysis). Differences in trait estimates were found to be trivial within each group. Yet the results suggested that inferences about individuals' trait levels differ considerably between the 2 groups. One should therefore choose a method that explicitly takes account of item distributions in estimating unidimensional traits from ordered categorical response formats. Consequences of violating distributional assumptions were discussed. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10