ERIC Number: EJ1236486
Record Type: Journal
Publication Date: 2019
Pages: 2
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0731-1745
EISSN: N/A
Digital Module 10: Rasch Measurement Theory
Wang, Jue; Engelhard, George, Jr.
Educational Measurement: Issues and Practice, v38 n4 p112-113 Win 2019
In this digital ITEMS module, Dr. Jue Wang and Dr. George Engelhard Jr. describe the Rasch measurement framework for the construction and evaluation of new measures and scales. From a theoretical perspective, they discuss the historical and philosophical perspectives on measurement with a focus on Rasch's concept of specific objectivity and invariant measurement. Specifically, they introduce the origins of Rasch measurement theory, the development of model-data fit indices, as well as commonly used Rasch measurement models. From an applied perspective, they discuss best practices in constructing, estimating, evaluating, and interpreting a Rasch scale using empirical examples. They provide an overview of a specialized Rasch software program ("Winsteps") and an R program embedded within Shiny ("Shiny_ERMA") for conducting the Rasch model analyses. The module is designed to be relevant for students, researchers, and data scientists in various disciplines such as psychology, sociology, education, business, health, and other social sciences. It contains audio-narrated slides, sample data, syntax files, access to Shiny_ERMA program, diagnostic quiz questions, data-based activities, curated resources, and a glossary.
Descriptors: Item Response Theory, Evaluation Methods, Measurement, Goodness of Fit, Best Practices, Computer Software, Social Science Research, Computer Assisted Testing, Visual Aids, Databases, Test Construction
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A