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Measuring Unipolar Traits with Continuous Response Items: Some Methodological and Substantive Developments

Title: Measuring Unipolar Traits with Continuous Response Items: Some Methodological and Substantive Developments
Language: English
Authors: Pere J. Ferrando (ORCID 0000-0002-3133-5466); Fabia Morales-Vives (ORCID 0000-0002-2095-0244); Ana Hernández-Dorado (ORCID 0000-0001-9502-9735)
Source: Educational and Psychological Measurement. 2024 84(3):425-449.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 25
Publication Date: 2024
Document Type: Journal Articles; Reports - Research
Descriptors: Item Analysis; Goodness of Fit; Accuracy; Test Validity; Psychological Testing; Responses; Beliefs; Models; Factor Analysis; Personality Traits; Attitude Measures; Psychological Patterns; Item Response Theory; Mental Disorders; Psychopathology
DOI: 10.1177/00131644231181889
ISSN: 0013-1644; 1552-3888
Abstract: In recent years, some models for binary and graded format responses have been proposed to assess unipolar variables or "quasi-traits." These studies have mainly focused on clinical variables that have traditionally been treated as bipolar traits. In the present study, we have made a proposal for unipolar traits measured with continuous response items. The proposed log-logistic continuous unipolar model (LL-C) is remarkably simple and is more similar to the original binary formulation than the graded extensions, which is an advantage. Furthermore, considering that irrational, extreme, or polarizing beliefs could be another domain of unipolar variables, we have applied this proposal to an empirical example of superstitious beliefs. The results suggest that, in certain cases, the standard linear model can be a good approximation to the LL-C model in terms of parameter estimation and goodness of fit, but not trait estimates and their accuracy. The results also show the importance of considering the unipolar nature of this kind of trait when predicting criterion variables, since the validity results were clearly different.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1424675
Database: ERIC