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Dictionary of Statistics and Methodology: A Non-Technical Guide for the Social Sciences

Dictionary of Statistics and Methodology: A Non-Technical Guide for the Social Sciences

by Dr . W . ( William ) Paul Vogt (Author)

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    Paperback 1993

    $5.99
Synopsis

This dictionary will be an essential reference for every social scientist, presenting nontechnical definitions of statistical and methodological terms used in the social and behavioural sciences. The author pays special attention to terms that most often prevent educated general readers from understanding journal articles and books by emphasizing concepts over calculations and by providing detailed examples after each definition. The level of explanation varies with the simplicity or complexity of the term defined so that more detail is offered for basic terms, while less is used to explain more advanced concepts for readers who have more background.

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More Information

Format: Paperback
 Pages: 334
 Edition: Second Edition
 Publisher: Sage Publications, Inc
Published: 13 Jul 1993
ISBN 10: 0803952775
ISBN 13: 9780803952775

Author Bio
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).