Rasch Measurement: Applications in Quantitative Educational Research

Dr. Myint Swe Khine is a Professor of Education at the Emirates College for Advanced Education (ECAE), United Arab Emirates. He is also an Adjunct Professor at Curtin University, Australia. Before joining the ECAE, he worked at the National Institute of Education’s Learning Sciences and Technology Academic Group, Nanyang Technological University, Singapore. He has published extensively in scholarly journals and edited several books. Recent publications include Computational Thinking in the STEM Disciplines: Foundations and Research Highlights (Springer, 2018), International Trends in Educational Assessment: Emerging Issues and Practices (Brill, 2019), and STEAM Education: Theory and Practice (Springer, 2019). Part 1: Theoretical and Conceptual Frameworks.- 1 Objective Measurement in Psychometric Analysis.- 2 Rasch Basics for the Novice.- 3 Applying the Rasch Rating Scale Method to Questionnaire Data.- 4 Objective Measurement: How Rasch Modeling can Simplify and Enhance Your Assessment.- Part II: Rasch Model and Analysis in Education Research.- 5 Re-examining the Utility of the Individualised Classroom Environment Questionnaire (ICEQ) using the Rasch Model.- 6 Validation of University Entrance Tests through Rasch Analysis.- 7 Examining an Economics Test to inform University Student Learning using the Rasch Model.- 8 Constructs Evaluation of Student Attitudes towards Science – A Rasch Analysis.- 9 Validation of a Science Concept Instrument by Rasch Analysis.- 10 Big Changes in Achievement between Cohorts: A True Reflection of Educational Improvement or is the Test to Blame?.- Part III: Validation Studies with Rasch Analysis.- 11 A Rasch Analysis Approach to the Development and Validation of a Social Presence Measure.- 12 Construct Validity of Computer Scored Constructed Response Items in Undergraduate Introductory Biology Courses.- 13 An Analysis of the Psychometric Properties of the Social Responsibility Goal Orientation scale using Adolescent Data from Sweden.- 14 Using Graphical Loglinear Rasch Models to Investigate the Construct Validity of the Perceived Stress Scale.