The scale of religious conservatism among Muslim students in Indonesia: A Rasch Analysis

Abstract

This study aimed to develop a 'religious conservatism' scale tailored for university students, employing the Rasch Analysis approach in a four-step process. Firstly, a psychometric scale comprising 29 unidimensional items was formulated based on a thorough literature review. Secondly, items generated from literature studies underwent validation, resulting in the retention of 23 items after eliminating irrelevant ones. Thirdly, a psychometric analysis was conducted using the Rasch Model Approach with a sample of 549 randomly selected students from three universities in Sumatra, Indonesia. In all, 15 items met the Rasch Analysis criteria, with unnecessary items removed because of logit value overlap. Fourthly, an empirical comparison of study results based on gender and student categories (first-year, second-year, junior and senior) was performed, revealing insights into the average logit level of student conservatism. As a result, the study identified the highest logit score based on gender criteria and student categories, contributing valuable information on the nuanced aspects of religious conservatism among university students. The development of this scale provides a valuable tool for future research exploring the dynamics of religious conservatism within the university context. CONTRIBUTION: This research introduces a meticulously validated psychometric scale designed specifically for assessing religious conservatism among Islamic university students. Setting it apart from comparable studies, this scale demonstrates distinct advantages, such as its precise focus on the Islamic context, rigorous psychometric validation process, elimination of irrelevant items and contextual applicability within university settings. By providing researchers and educators with a more accurate tool, the scale facilitates a deeper understanding and targeted approach to addressing religious conservatism among Muslim students in Indonesia