This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framework for scaling that can yield invariant measurement. Rasch Models for Solving Measurement Problems: Invariant Measurement in the Social Sciences is a broadly accessible text. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale. The Rasch analyses in the book are run using the Facets computer program. Facets syntax, and R code for the ERMA program created by the authors to obtain parameter estimates and to examine model-data fit, together with sample data sets are all available on a website for the book.
George, Jr. (University of Georgia, USA) Engelhard & Jue (University of Miami, USA) Wang
Rasch Models for Solving Measurement Problems : Invariant Measurement in the Social Sciences [EPUB ebook]
Invariant Measurement in the Social Sciences
Rasch Models for Solving Measurement Problems : Invariant Measurement in the Social Sciences [EPUB ebook]
Invariant Measurement in the Social Sciences
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Ngôn ngữ Anh ● định dạng EPUB ● Trang 144 ● ISBN 9781544363035 ● Nhà xuất bản SAGE Publications ● Được phát hành 2020 ● Có thể tải xuống 6 lần ● Tiền tệ EUR ● TÔI 8219476 ● Sao chép bảo vệ Adobe DRM
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