Psychometric properties of the Persian version of the Inferiority Compensation scale

Document Type : Research Paper

Authors

1 Department of psychology, Lorestan University, Khorramabad, Iran

2 Department of Psychology, Lorestan University, Khorramabad, Iran

3 Departent of Psychology, Lorestan niversity, Khorramabad, Iran

Abstract
The present study aimed to investigate the psychometric properties of the Persian version of the Inferiority Compensation Scale, including reliability, validity, and confirmatory factor analysis. The study was applied in terms of purpose and methodology, and included test-construction studies, which were conducted based on common methods and principles in psychometrics in the form of a correlational research in 2024. The statistical population of the study included high school students in Khorramabad, from whom 450 people were selected through convenience sampling and completed the Inferiority Compensation Scale(ICS), Hope Subscale (PSQ), and Spielger Anxiety (SATI). Data analysis was performed using Cronbach's alpha coefficient, confirmatory factor analysis, and Pearson correlation coefficient using SPSS and AMOS software, version 24, at a significance level of 0.05. The results of confirmatory factor analysis supported the 5-factor structure for the subscales of self-compensation (X2/DF=2.32, CFI=0.92, AGFI=0.94, GFI=0.95, NFI=0.88, TLI=0.93, RMSEA=0.068) and compensation of inferiority through others (X2/DF=2.05, CFI=0.87, AGFI=0.90, GFI=0.91, NFI=0.86, TLI=0.91, RMSEA=0.73) and the fit indices were relatively favorable; also, the convergent validity and divergent validity were significant (P<0.01). The Cronbach's alpha coefficient for the entire scale was estimated to be 0.80. So the inferiority compensation scale was appropriate psychometric properties in high school students.

Keywords



Articles in Press, Accepted Manuscript
Available Online from 12 July 2026

  • Receive Date 21 January 2025
  • Revise Date 10 March 2025
  • Accept Date 27 April 2025
  • First Publish Date 12 July 2026
  • Publish Date 12 July 2026