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The Data Game: Controversies in Social Science Statistics
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The Data Game: Controversies in Social Science Statistics Hardcover - 2012

by Mark Maier; Jennifer Imazeki


From the publisher

This book introduces students to the collection, uses, and interpretation of statistical data in the social sciences. It would suit all social science introductory statistics and research methods courses. Separate chapters are devoted to data in the fields of demography, housing, health, education, crime, the economy, wealth, income, poverty, labor, business statistics, and public opinion polling, with a concluding chapter devoted to the common problem of ambiguity. Each chapter includes multiple case studies illustrating the controversies, overview of data sources including web sites, chapter summary and a set of case study questions designed to stimulate further thought.

Details

  • Title The Data Game: Controversies in Social Science Statistics
  • Author Mark Maier; Jennifer Imazeki
  • Binding Hardcover
  • Edition [ Edition: fourt
  • Pages 309
  • Volumes 1
  • Language ENG
  • Publisher Routledge
  • Date 2012-09-15
  • ISBN 9780765629791 / 0765629798
  • Weight 1.23 lbs (0.56 kg)
  • Dimensions 9 x 6.1 x 0.9 in (22.86 x 15.49 x 2.29 cm)
  • Themes
    • Aspects (Academic): Sociological
  • Library of Congress subjects Social sciences - Statistical methods, Social problems - Statistics
  • Library of Congress Catalog Number 2012013223
  • Dewey Decimal Code 300.151

About the author

Mark Maier, Department of Economics, Glendale Community College, USA.

Jennifer Imazeki, Department of Economics, San Diego State University, USA.

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The Data Game: Controversies in Social Science Statistics
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The Data Game: Controversies in Social Science Statistics

by Maier, Mark; Imazeki, Jennifer

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The Data Game: Controversies in Social Science Statistics
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The Data Game: Controversies in Social Science Statistics

by Maier, Mark; Imazeki, Jennifer

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The Data Game: Controversies in Social Science Statistics
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The Data Game: Controversies in Social Science Statistics

by Maier, Mark; Imazeki, Jennifer

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