The Rasch Model Analysis for Statistical Anxiety Rating Scale (STARS)
- 1 Faculty of Education, The National University of Malaysia, Bangi, Selangor, Malaysia
- 2 Faculty of Education, The National University of Malaysia, Bangi, Selangor, Malaysia
Abstract
The importance of statistics plays a growing role in research including students. The purpose of this study is to produce psychometric measurement using Rasch Model Analysis. 173 postgraduate students were chosen randomly to give response to 51 items of Statistical Anxiety Rating Scale (STARS). The collected data were analysed using SPSS and Winstep software. Based on the analysis, the person item and item reliability indicate 0.94 and 0.92 respectively. Item separation index for both person and item was more than the cut-off point of 2.00 which is considered good. The Rasch Model analysis has shown key aspects in learning statistics to be improvised.
- Arasinah, K., Bakar, A. R., Ramlah, H., Soaib, A., & Zaliza, H. (2015). Using Rasch Model and Confirmatory Factor Analysis to Assess Instrument for Clothing Fashion Design Competency,. International Journal of Social Science and Humanity, 5, 418-421. https://doi.org/10.7763/IJSSH.2015.V5.492
- Arumugam, R. N. (2014). Student’s Attitude towards Introductory Statistics Course at Public Universities Using Partial Least Square Analysis. Interdisciplinary Journal of Cotemporary Research in Business, 6, 94-123.
- Ashaari, N. S., Judi, H. M., & Mohamed, H. (2011). Student’s Attitude towards Statistics Course. Procedia-Social and Behavioral Sciences, 18, 287-294. https://doi.org/10.1016/j.sbspro.2011.05.041
- Bond, T. G., & Fox, C. M. (2015). Applying the Rasch Model: Fundamental Measurement in the Human Sciences (3rd ed.). Mahwah, NJ: L. Erlbaum.
- Fisher, G. (1995). Derivations of the Rasch Model. In G. H. Fisher, & I. W. Molenaar (Eds.), Rasch Models: Foundations Recent Developments and Applications (pp. 15-38). Berlin: Springer-Verlag. https://doi.org/10.1007/978-1-4612-4230-7
- Fisher, W. P. (2007). Rating Scale Instrument Quality Criteria. Rasch Measurement Transactions, 21, 1095.
- Baloglu, M. (2002). Psychometric Properties of the Statistics Anxiety Rating Scale. Psychological Reports, 90, 315-325. https://doi.org/10.2466/pr0.2002.90.1.315
- Keeley, J., Zayac, R., & Correia, C. (2008). Curvilinear Relationships between Statistics Anxiety and Performance among Undergraduate Students: Evidence for Optimal Anxiety. Statistic Education Research Journal, 7, 4-15.
- Koh, D., & Zawi, M. K. (2014). Statistics Anxiety among Postgraduate Students. International Education Studies, 7, 166-174. https://doi.org/10.5539/ies.v7n13p166
- Lavasani, M. G., & Weisani, M. (2013). Statistics Anxiety, Achievement Goals, and Academic Motivation. Global Journal of Science, Engineering and Technology, No. 5, 61-77.
- Liu, S., Onwuegbuzie, A. J., & Berks, P. S. (2011). Examination of the Score Reliability and Validity of the Statistics Anxiety Rating Scale in a Chinese Population: Comparisons of Statistics Anxiety between Chinese College Students and Their Western Counterparts. Journal of Educational Enquiry, 11, 29-42.
- Mcgrath, A. L., Greiner, L., Brown, S., Ferns, A., & Wanamaker, K. (2015). Reducing Anxiety and Increasing Self-Efficacy within an Advanced Graduate Psychology Statistics Course. The Canadian Journal for the Scholarship of Teaching and Learning, 6, 1-17. https://doi.org/10.5206/cjsotl-rcacea.2015.1.5