Development and Psychometric Analysis of the Questionnaire on Students’ Life Difficulties
DOI:
https://doi.org/10.46991/BYSU:E/2022.13.2.063Keywords:
Life difficulties , questionnaire development, categorical principal component analysis, thematic analysis on brief texts, reliabilityAbstract
The article presents the process of development and psychometric analysis of the questionnaire on Students’ life difficulties. The questionnaire was developed in two stages using qualitative and quantitative methods. The data collection of the first stage was carried out using open-ended questions based on а sample of 360 students. The data were analyzed through the method of thematic analysis on brief texts, and the initial version of the questionnaire was developed. The second stage of data collection was based on а sample of 318 students. As a result of psychometric analysis, a reliable and valid tool for studying students’ life difficulties was developed. It can be used in research aimed at studying students’ life difficulties and the socio-psychological variables associated with them.
References
Boral P., Ghormade Y., Wankhede S., et al. Issues and challenges faced by university students staying out of their hometown for study. Journal of interdisciplinary Cycle Research, 5, 2021, pp. 687-707.
Fook C.Y., Sidhu G., K. Investigating Learning Challenges faced by Students in Higher Education. Procedia-Social and Behavioral Sciences 186, 2015, pp. 604-612.
Uzorka A., Makeri Y. A. Academic Challenges faced by Students in Higher Education during Covid-19 Pandemic. International Journal of Research and Innovation in Social Science (IJRISS), 4(7), 2020, pp. 474-476.
Arnett, J. J. Emerging adulthood: The winding road from the late teens through the twenties. New York: Oxford University Press, 2004, 270 p.
Dagdag J. D., Cuizon H. G., Bete A. O. College Students’ Problems and their link to Academic Performance: Bases for needs-driven Student programs. Journal of Research Policy & Practice of teachers & Teacher Education, 9 (2), 2019. pp. 54-65.
Robinson O. C. Conducting thematic analysis on brief texts: The structured tabular approach. Qualitative Psychology. Advance online publication, 2021. https://doi.org/10.1037/qup0000189
Linting, M., Meulman, J. J., Groenen, P. J. F., & Van der Kooij, A. J. Nonlinear principal components analysis: Introduction and application. Psychological Methods, 12, 2007, pp. 336-358.
Meulman, J., van Der Kooij, A., & HeiserKaplan, W. Principal components analysis with nonlinear optimal scaling transformations for ordinal and nominal data. In: Kaplan, D. (Ed.), The SAGE handbook of quantitative methodology for the social sciences. Washington, DC: SAGE Publications, 2004
Mori Y., Kuroda M., Makino N. Nonlinear Principal Component Analysis and its Applications. Springer Nature, 2016, 85p. DOI 10.1007/978-981-10-0159-8.
Taber K. S. The Use of Cronbach’s Alpha when Developing and Reporting Research Instruments in Science Education. Research in Science Education, 2018, 48 (6), pp. 1273-1296.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Bulletin of Yerevan University
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
