Psychometric Properties and Latent Subclass Analysis Mixture Rasch Model of on Self-Adjustment Questionnaire

Ababiel, Merinta Wira and Yudiarso, Ananta (2025) Psychometric Properties and Latent Subclass Analysis Mixture Rasch Model of on Self-Adjustment Questionnaire. Journal of Psychology and Instruction, 9 (1). pp. 27-42. ISSN 2549-4589

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Official URL / DOI: https://ejournal.undiksha.ac.id/index.php/JoPaI/ar...

Abstract

Research on the validation of self-adjustment measurement using the Rasch Model remains limited in Indonesia, especially studies that focus on university student. This study aimed to assess the psychometric properties of the self-adjustment questionnaire using a quantitative approach and Mixture Rasch Model analysis. The self-adjustment questionnaire was developed based on the theory of Haber & Ruyon (1984). A total of 217 university students participated in the study. The results indicated that the unidimensionality assumption was met after the removal of one item from each sub-scale: ACS_6, PSI_12R, GIR_19R. The five point Likert scale functioned effectively, allowing participants to differentiate among various response options. Item reliability for most sub-scales was achieved, ranging from 0.70 to 0.90, except for the PSI sub-scale (0.36). However, person separation for all sub-scales did not meet the criteria, ranging between 0.70 and 1.86 (≤ 3). All items in this study exhibited no DIF and no latent subclass based on the Mixture Rasch analysis results. Overall, the self-adjustment questionnaire demonstrated fairly good performance, except for person reliability and separation, which did not meet the required criteria. As a limitation of the study, the items were less effective in capturing participants with low and high abilities.

Item Type: Article
Uncontrolled Keywords: Latent Class Analysis; Mixture Rasch Model; Self-Adjustment
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Divisions: Postgraduate Programs > Master Program in Psychology
Depositing User: MERINTA WIRA ABABIEL
Date Deposited: 03 Aug 2026 08:46
Last Modified: 04 Aug 2026 08:53
URI: http://repository.ubaya.ac.id/id/eprint/51093

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