MEASUREMENT OF LATENT VARIABLE “CREATIVE SELF-EFFICACY†OF STUDENTS OF CHAPTER OF KUBAN STATE UNIVERSITY AT SLAVYANSK-ON-KUBAN
Keywords:
creative self-efficacy, measurement, latent variable, Rasch model,Abstract
The purpose of this investigation is to establish a unidimensional interval scale for measuring students’ creative self-efficacy. Latent variable “creative self-efficacy†is defined operationally – by means of a set of indicators. Each of the indicators characterizes one of the aspects of creative self-efficacy. The creative self-efficacy construct is measured in framework of the theory of latent variables based on Rasch model. The questionnaire as the measuring tool possesses high differentiating ability. The analysis of variance of results of measurements is used for comparison of creative self-efficacy of students depending on their gender and department. It is shown that based on this latent variable there is no statistically significant difference between females and males; however, there is a statistically significant difference between departments. The least value of creative self-efficacy belongs to students of faculty of physical training and biology, while the greatest value belongs to students of philology. There is a possibility to correct the set of the indicators characterizing the latent variable and thus to specify the content of the construct “creative self-efficacyâ€.References
Abbott, D. H. (2010). Constructing a creative self-efficacy inventory: a mixed methods inquiry. (Doctoral dissertation, University of Nebraska - Lincoln, Denver, CO, 2010).
Bandura, A. (2007). Much ado over a faulty conception of perceived self-efficacy grounded in faulty experimentation. Journal of Social and Clinical Psychology, 26(6), 641-658.
Beghetto, R. A. (2006). Creative self-efficacy: Correlates in middle and secondary students. Creativity Research Journal, 18(4), 447-457.
Guilford, J. P. (1967). Creativity: Yesterday, today, and tomorrow. Journal of Creative Behavior, 1, 3-14.
Maslak, A. A. & Pozdniakov, S. A. (2018). Measurement and Multifactorial Analysis of Students’ Patriotism // SOCIETY, INTEGRATION, EDUCATION. Proceeding of the International Scientific Conference. Vol. I, Higher Education, May 25th-26th, 2018. – Rezekne : Rezekne Academy of Technologies, 373–383.
Maslak, A. A., Rybkin, A. D., Anisimova, T. S. & Pozdnyakov, S. A. (2015). Monitoring of pupils’ imagination within the framework of creativity formation program //Mediterranean Journal of Social Sciences, Vol. 6, No. 6, Supplement 5, December 2015, Special edition, 150-158.
Maslak, A. A. (2016). Theory and practice of latent variables in education. Moscow, Russia: Urait Publishing House.
Maslak, A. A., Karabatsos, G., Anisimova, T. S. & Osipov, S. A. (2005). Measuring and comparing higher education quality between countries worldwide. Journal of Applied Measurement, 6(4), 432-442.
Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47, 149-174.
Rasch, G. (1960). Probabilistic models for some intelligence and attainment tests. Copenhagen, Denmark: Danish Institute for Educational Research. (Expanded edition, 1980, Chicago: University of Chicago Press.)
Sheridan, B. (1988). RUMM item analysis package: Rasch unidimensional measurement model. Rasch Measurement Transactions, 11(4), 599. (http://www.rasch.org/rmt/rmt114d.htm).
Starko, A. J. (2014). Creativity in the classroom: schools of curios delight. Fifth edition. Routledge, New York and London.
Torrance, E. P. (2004). Great expectations: Creative achievements of the sociometric stars in a 30-years survey. Journal of Secondary Gifted Education, 16(1), 5-13.
Wright, B. D., Masters, G. N. (1995). Rating scale analysis. Chicago: MESA Press.
