Journal of Psychology and Instructions
Vol. 9 No. 1 (2025): April

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

Ababiel, Merinta (Unknown)
Yudiiarso, Ananta (Unknown)



Article Info

Publish Date
26 Apr 2025

Abstract

The measurement tool in this study was developed based on the theory of Haber & Ruyon (1984). It aimed to validate the psychometric properties of self-adjustment using Mixture Rasch Analysis. A total of 217 participants were university students. The results showed that the unidimensionality assumption was met after removing one item from each sub-scale: ACS_6, PSI_12R, and GIR_19R. The 5-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 – 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 – 1.86 (≤ 3). All items in this study showed no DIF and no latent subclass based on the Rasch Mixture Model analysis results. Overall, the self-adjustment measurement tool demonstrated fairly good performance, except for person reliability and separation, which did not meet the criteria. As a result, the items were less able to capture participants with low and high abilities.

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Journal Info

Abbrev

JoPaI

Publisher

Subject

Arts Humanities Education Environmental Science

Description

Journal of Psychology and Instruction (JPAI), is an open access international journal which has been established for the dissemination of knowledge in the field of educational psychology and instructions. JPAI is currently accepting manuscripts for publication. In the interest of regional variations ...