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Rasch Models for Solving Measurement Problems - Invariant Measurement in the Social Sciences (Paperback)
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Rasch Models for Solving Measurement Problems - Invariant Measurement in the Social Sciences (Paperback)
Series: Quantitative Applications in the Social Sciences
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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.
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