Rasch modeling methods in Winsteps: approaches to the analysis of educational results

Abstract

This article discusses the application of the Winsteps 5.8.3 software for analyzing assessment results using Rasch modeling methods. Winsteps provides powerful tools for processing and analyzing assessment data, enabling researchers and practitioners in the fields of pedagogy and psychometry to gain a deeper understanding of test results. The article covers the key functions of the program, including the stages of data preparation, model construction, and interpretation of results. The study highlights the importance of accurate data analysis to improve the quality of educational processes and develop effective assessment tools. The results of the analysis obtained with the help of Winsteps can be used to make informed decisions in the field of education, such as adjusting curricula, developing new teaching methods, or changing assessment strategies. Data visualization capabilities in Winsteps help researchers and educators better understand test results, which facilitates more accurate interpretation and communication of results. The article has a high practical value for specialists involved in the development and analysis of test tasks, as well as for those who seek to improve the quality of educational programs and assessment methods. It provides not only theoretical foundations, but also specific recommendations that can be applied in real practice.

Key words: Winsteps, Rasch modeling, assessment outcome analysis, psychometrics, assessment tools.