The Use Of Rasch Measurement Theory To Address Measurement And Analysis Challenges In Social Science Research
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The Use of Rasch Measurement Theory to Address Measurement and Analysis Challenges in Social Science Research
High quality assessment instruments, in conjunction with best practice for data processing, analysis and reporting are essential for the monitoring of academic school achievement. In this thesis, Rasch Measurement Theory (RMT) as the primary method, addressed issues related to the monitoring of academic achievement. Rasch theory makes use of logistic regression models, which calibrate instruments by calculating item and person fit. The main study monitored the academic achievement of 3 697 Grades 8 to 11 learners at seven independent high schools in South Africa over a three- year period. Monitoring was done via specifically designed assessment instruments for Mathematics, Science and English Language. The main research question asked: How does the application of Rasch models address measurement problems in the processing, analysis and reporting of educational monitoring results? The thesis comprises three articles (presented as chapters and seen as sub-projects), and investigates challenges arising from the monitoring project. Measurement challenges addressed includes how to impute Missing Not At Random Data (Article 1), how to evaluate anchor items and reframe results (Article 2) and create proficiency bands (Article 3). Recommendations from the articles consist of using Rasch measures as predictors for imputation models, applying the Rasch models for evaluating anchor items and reframing test re-test results and the use of Rasch Item Maps for reporting criterion-referenced results. The thesis concludes by recommending that psychometric theory and application be taught in social science courses for the development of high quality instruments and the strengthening of measurement within the human sciences.
Rasch Measurement Theory
"Rasch Measurement Theory: A Complete Course" is a comprehensive guide to understanding Rasch measurement theory. We offer an essential resource for anyone interested in measurement theory, educational assessment, or social science research. Rasch measurement theory, named after Danish mathematician Georg Rasch, provides a framework for developing valid and reliable measurement instruments. Unlike traditional psychometric approaches, Rasch measurement theory emphasizes the principles of measurement itself. At the heart of Rasch measurement theory is the Rasch model, which posits that the probability of a respondent endorsing an item on a scale depends on the relationship between the respondent's ability and the difficulty of the item. This model forms the basis for various measurement applications. We introduce the basic principles of Rasch measurement theory and provide step-by-step guidance on applying Rasch analysis to real-world data. Our book emphasizes practical applications with examples from education, psychology, and healthcare. We also explore advanced topics such as differential item functioning (DIF), multidimensional Rasch models, and item response theory (IRT). Throughout the book, we offer tips for conducting Rasch analysis using software packages like RUMM, Winsteps, and jMetrik.
Proceedings of the Pacific-Rim Objective Measurement Symposium (PROMS 2023)
This is an open access book. PROMS conference is a premier international venue for Rasch researchers and practitioners to share new ideas, research results and development experiences. We welcome abstracts in all areas of research, including conceptual and empirical studies that are conducted with quantitative, qualitative, and mixed methods. Topics include, but are not limited to Rasch model or Rasch-based.