Psychometric Properties of the Academic Self Concept Scale among Indian CBSE School Students

R. Gayatri  Iyengar; G. Padma  Gouri; Mahendra  Kumar

doi:10.5455/njcm.20211016025414

Authors

R. Gayatri Iyengar Department of Education, St.Vincent Pallotti College, Raipur, India
G. Padma Gouri Department of Education, St.Vincent Pallotti College, Raipur, India
Mahendra Kumar Department of Psychiatry, Pt. JNM Medical College Raipur, India

DOI:

https://doi.org/10.5455/njcm.20211016025414

Keywords:

academic self- concept, validity, reliability

Abstract

Introduction: Psychometrically sound instruments are required to reliably measure academy self concept for school students. For this study, we validate the academy self concept scale (ASCS) with students 16+ years. The objective of this study is to examine the factor structure, validity, and reliability of the 57-item academic self- concept scale in a Indian School Students.

Methods: The participants of the study are constituted by 581 students studying in CBSE Private School in 2021-2022 education year. All of the participants were subjected to the academic self- concept scale. Confirmatory factor analysis methods were used to examine the structural validity of academic self- concept scale. The reliability of academic self- concept scale was examined with, internal consistency.

Results: Confirmatory factor analysis in the sample confirmed an 8-factor model with indices of fitness that indicated a satisfactory model fit (goodness of fit index = 0.99; Tucker-Lewis index = 0.89; comparative fit index = 0.92; root mean square error of approximation = 0.1173; Standardized root mean square residual=0.0445). Our analyses support a eight-factor model of responses to the ASCS (Academic Ability, Academic Interest, Study, Examination, Academic Interactions, Academic efforts, Curriculum and Academic future) measuring a higher order latent construct. It was seen that the factor loads of the scale varied between 0.5952 and 0.8690. The internal consistency of the scale was 0.918.

Conclusion: The findings obtained in this study indicate that the academic self- concept scale has a eight-factor structure and this form can be used as a valid and reliable measuring means in evaluating academic self- concept in CBSE school students.

References

Byrne BM, & Shavelson RJ. On the structure of adolescent self-concept. Journal of Educational Psychology. 1986; 78: 474–481.

Marsh WH, Trautwein U, Ludtke O, Koller O, & Baumert J. Academic self-concept, interest, grades, and standardized test scores: Reciprocal effects models of causal ordering. Child De-velopment. 2005; 76(2): 397– 416.

Green J, Nelson G, Martin, AJ, & Marsh H. The causal ordering of selfconcept and academic motivation and its effect on aca-demic achievement. International Education Journal. 2006; 7(4): 534–546.

Marsh WH, Trautwein U, Ludtke O, Koller O, & Baumert J. Academic self- concept, interest, grades, and standardized test scores: Reciprocal effects models of causal ordering. Child Development. 2005; 76(2): 397– 416.

Jaiswal SK., & Choudhuri R. A Review of the relationship be-tween parental involvement and students’ academic perfor-mance. The International Journal of Indian Psychology. 2017; 4(3): 110–123.

Marsh HW. Causal ordering of academic self-concept and aca-demic achievement: a multi-wave, longitudinal panel analysis. Journal of Educational Psychology. 1990; 82(4): 646-656.

Cokley K. A psychometric investigation of the academic self-concept of Asian American college students. Educational and Psychological Measurement. 2007; 67(1): 88–99.

Liu WC & Wang CKJ. Academic self-concept: A cross-sectional study of grade and gender differences in a Singapore Second-ary School. Asia Pacific Education Review. 2005; 6(1): 20-27.

Kumar, A. An Investigation into the Distance Learners’ Aca-demic Self-concept, Study Habits and Attitude towards Dis-tance Education in relation to the Academic Performance at the First Degree Level, Doctoral Dissertation, Meerut, 1996: CCS University.

Tan Joyce BY, & Yates SM. A Rasch analysis of the Academic Self Concept Questionnaire. International Education Journal. 2007; 8 (2): 470-484.

Marsh H.W. The structure of academic self-concept: The Marsh/Shavelson model. Journal of Educational Psychology. 1990; 82: 623-636.

Kamble VS, Naik BA. Manual of academic self-concept scale. Prasad Psycho Corporation. 2013: New Delhi

Büyüköztürk Ş, Akgün EÖ, Özkahveci Ö, Demirel F. Güdülenme ve öğrenme stratejileri ölçeğinin Türkçe formunun geçerlilik ve güvenilirlik çalışması. Kuram ve Uygulamada Eğitim Bilimleri 2004; 4:207-239 (Article in Turkish).

Hair FJ, Anderson ER, Tatham LR, Black CW. Multivariate Data Analysis. New Jersey: Prentice Hall, 1998.

Hoyle RH. Structural Equation Modeling: Concepts, Issues and Applications. Thousands Oaks, CA: Sage Publications, 1995.

Kline BR. Principles and practice of structural equation modeling. New York: The Guilford Press, 2005.

Hu L, Bentler PM. Cut-of criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alterna-tives. Structural Equation Modeling. 1999; 6: 1-55.

Tanaka JS & Huba GJ. A fit index for covariance structure models under arbitrary GLS estimation. British Journal of Mathematical and Statistical Psychology, 1985; 38(2), 197-201.

Bentler PM. Comparative fit indexes in structural models. Psychological Bulletin.1990;107(2): 238-46. https://doi.org/10. 1037/0033-2909.107.2.238.

Bentler PM & Bonett DG. Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 1980; 88(3), 588–606.

Bollen KA. Wiley series in probability and mathematical statistics. Applied probability and statistics section. Structural equations with latent variables. John Wiley & Sons.1989; https:// doi.org/10.1002/9781118619179.

Kumar M & Shrivastava P. Parent child relationship and de-mographic predictors of intelligence of school going students. Journal of Indian academy of applied psychology. 2019; 45(1): 9-15.