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Routledge Applying Generalizability Theory using EduG - Quantitative Methods

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Description

Improve measurement and data collection methods across behavioural, social, and medical sciences with this practical guide to Generalizability Theory. G theory provides a conceptual framework for understanding how measurement reliability is established by identifying sources of score variation that contribute to measurement error. This book demonstrates how to apply G theory principles to enhance measurement quality in any discipline, making it an essential resource for researchers and practitioners who need robust, reliable data collection methods. Whether you work in psychology, education, healthcare, or social research, learn how to account for error sources and strengthen your research methodology using the accessible approach presented in this Quantitative Methodology Series volume from Routledge.

Key Features

Focuses on Generalizability Theory as a framework for understanding and improving measurement reliability in research.

Demonstrates practical application of G theory across behavioural, social, and medical science disciplines.

Identifies sources of score variation and measurement error to strengthen data collection quality.

Part of the Routledge Quantitative Methodology Series, offering structured guidance for researchers.

Provides accessible methods for improving measurement quality regardless of research field or discipline.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 October 2009
Listed Since
06 August 2008

Barcode

No barcode data available

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