Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences

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9781412971096: Dictionary of Statistics & Methodology: A Nontechnical Guide for the Social Sciences
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Written in a clear, readable style with a wide range of explanations and examples, the Fourth Edition of this must-have reference guide has been updated throughout to reflect recent changes in the fields of statistics and methodology. Packed with new terms, synonyms, and graphics, this best-selling dictionary provides readers with everything they need to read and understand a research report, including elementary terms and concepts and methodology and design definitions, as well as concepts from qualitative research methods and terms from theory and philosophy.

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Recensione:

Do you teach evaluation, research methods, or statistics, or need to teach some key concepts to evaluation stakeholders? Are you in grad school and just learning social science research methods? This handy guide is a great resource for instructors and students alike, as it offers both definitions and relevant, understandable examples. Are you a visual learner? The book also features dozens of easy-to-interpret charts, tables, graphs, and figures. (Sheila B. Robinson)

L'autore:

W. Paul Vogt is Emeritus Professor of Research Methods and Evaluation at Illinois State University where he won both teaching and research awards. He specializes in methodological choice and program evaluation and is particularly interested in ways to integrate multiple methods. His other books include: Tolerance & Education: Learning to Live with Diversity and Difference (Sage Publications, 1998); Quantitative Research Methods for Professionals (Allyn & Bacon, 2007); Education Programs for Improving Intergroup Relations (coedited with Walter Stephan, Teachers College Press, 2004). He is also editor of four 4-volume sets in the series, Sage Benchmarks in Social Research Methods: Selecting Research Methods (2008); Data Collection (2010); Quantitative Research Methods (2011); and, with Burke Johnson, Correlation and Regression Analysis (2012).His most recent publications include the coauthored When to Use What Research Design (2012) and Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods Approaches (2014).

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