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Saidfudin, M., Azrilah, A., Rodzo’an, N., Omar, M., Zaharim, A., & Basri, H. (2010). Easier Learning Outcomes Analysis Using Rasch Model in Engineering Education Research. Latest Trends on Engineering Education, 442-447.
http://www.wseas.us/e-library/conferences/2010/Corfu/EDUCATION/
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• TITLE: The Rasch Model Analysis for Statistical Anxiety Rating Scale (STARS)

  AUTHORS: Siti Mistima Maat, Mira Khalisa Rosli

  KEYWORDS: Statistical Anxiety, Rasch Model, Students, Postgraduates

  JOURNAL NAME: Creative Education, Vol.7 No.18, December 15, 2016

  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.