Generalizability Theory for the Perplexed
Author | : R. F. Bloch |
Publisher | : |
Total Pages | : 70 |
Release | : 2014 |
Genre | : Medical statistics |
ISBN | : 9781908438195 |
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Author | : R. F. Bloch |
Publisher | : |
Total Pages | : 70 |
Release | : 2014 |
Genre | : Medical statistics |
ISBN | : 9781908438195 |
Author | : Richard J. Shavelson |
Publisher | : SAGE |
Total Pages | : 153 |
Release | : 1991-07-23 |
Genre | : Psychology |
ISBN | : 0803937458 |
Accessible to any professional or researcher who has a basic understanding of analysis of variance, Shavelson and Webb offer an intuitive development of generalizability theory, a technique for estimating the relative magnitudes of various components of error variation and for indicating the most efficient strategy for achieving desired measurement precision. Covering a variety of topics such as generalizability studies with nested facets and with fixed facets, measurement error and generalizability coefficients, and decision studies with same and with different designs, the text includes exercises so the reader may practice the application of each chapter's material. By using detailed illustrations and examples, Shavelson and Webb clearly describe the logic underlying major concepts in generalizability theory to enable readers to apply these methods when investigating the consistency of their own measurements.
Author | : Robert L. Brennan |
Publisher | : Springer Science & Business Media |
Total Pages | : 543 |
Release | : 2013-11-11 |
Genre | : Social Science |
ISBN | : 1475734565 |
Generalizability theory offers an extensive conceptual framework and a powerful set of statistical procedures for characterizing and quantifying the fallibility of measurements. Robert Brennan, the author, has written the most comprehensive and up-to-date treatment of generalizability theory. The book provides a synthesis of those parts of the statistical literature that are directly applicable to generalizability theory. The principal intended audience is measurement practitioners and graduate students in the behavioral and social sciences, although a few examples and references are provided from other fields. Readers will benefit from some familiarity with classical test theory and analysis of variance, but the treatment of most topics does not presume specific background.
Author | : Jean Cardinet |
Publisher | : Taylor & Francis |
Total Pages | : 235 |
Release | : 2011-03-04 |
Genre | : Psychology |
ISBN | : 1135240337 |
Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G theory). G theory conceptually models the way in which the reliability of measurement is ascertained. Sources of score variation are identified as potential contributors to measurement error and taken into account accordingly. The authors demonstrate the powerful potential of G theory by showing how to improve the quality of any kind of measurement, regardless of the discipline. Readers will appreciate the conversational style used to present a comprehensive review of G theory and its application using the freeware EduG. To maximize understanding the authors illustrate all fundamental principles with concrete examples from different fields and contexts. Annotated applications lead students through the main concepts of G theory, while illustrating both the use of EduG and interpretation of its output. Formulas are avoided wherever possible. Exercises with data sets available on the Psychology Press website allow readers to carry out their own analyses to reinforce understanding. Brief overviews of analysis of variance, estimation, and the statistical error model are provided for review. The procedures involved in carrying out a generalizability study using EduG follow, as well as guidance in the interpretation of results. Real-world applications of G theory to the assessment of depression, managerial ability, attitudes, and writing and mathematical skills are then presented. Next, annotated exercises provide an opportunity for readers to use EduG and interpret its results. The book concludes with a review of the development of G theory and possible new directions of application. Finally, for those with a strong statistical background, the appendixes provide the formulas used by EduG. Ideal as a supplement for courses on measurement theory and/or generalizability theory taught in departments of psychology, education, medicine, and the social sciences, this text will also appeal to researchers from a variety of fields interested in learning how to apply G theory to their studies.
Author | : Robert L. Brennan |
Publisher | : |
Total Pages | : 161 |
Release | : 1992-06 |
Genre | : |
ISBN | : 9780937734056 |
Author | : Robert L. Brennan |
Publisher | : |
Total Pages | : 41 |
Release | : 1985 |
Genre | : Analysis of variance |
ISBN | : |
Author | : Richard J. Shavelson |
Publisher | : |
Total Pages | : 76 |
Release | : 1981 |
Genre | : Analysis of variance |
ISBN | : |
Author | : David L. Streiner |
Publisher | : University of Toronto Press |
Total Pages | : 397 |
Release | : 2013-01-01 |
Genre | : Psychology |
ISBN | : 144261353X |
Inspired to write on this topic in reaction to mistakes he encountered in actual papers, David L. Streiner uses his trademark sense of humour and light-hearted style to explain complex statistical concepts in lucid, jargon-free language.
Author | : Robert L. Brennan |
Publisher | : |
Total Pages | : 76 |
Release | : 1984 |
Genre | : Educational tests and measurements |
ISBN | : |