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Analysing quantitative data : variable-based and case-based appro aches to non-experimental datasets / Raymond Kent.

By: Material type: TextTextPublication details: Los Angeles : Sage, 2015.Description: xxii, 349 p. : ill. ; 25 cmISBN:
  • 9781446273401 (hardcover)
  • 9781446273418 (paperback)
Subject(s): DDC classification:
  • 300.7/21  23
Contents:
Part I. Quantitative data : structure, preparation and analysis appr oaches : 1. Data structure -- 2. Data preparation -- 3. Approaches to d ata analysis -- part II. Variable-based analyses : 4. Univariate analys is -- 5. Bivariate analysis -- 6. Multivariate analysis -- part III. Ca se-based analyses : 7. Set-theoretic methods and configurational data a nalysis -- 8. Cluster and discriminant analysis -- part IV. Comparing a nd communicating results : 9. Comparing and mixing methods -- 10. Evalu ating hypotheses, explaining and communicating results.
Summary: "This innovative book provides a fresh take on quantitative data ana lysis within the social sciences. Using multidisciplinary non-experimen tal datasets it demonstrates that data analysis is really an active dia logue between ideas and evidence, between research objectives and data in a dataset." -- Cover.
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Holdings
Item type Current library Call number Status Barcode
Books - Open Access Books - Open Access Faculty of Economics and Management Book Bank - FEMA 300.721 KEN (Browse shelf(Opens below)) Available 001277830
Books - Open Access Books - Open Access Jinja Campus 300.721 K EN (Browse shelf(Opens below)) Available 001110293
Books - Open Access Books - Open Access Jinja Campus 300.721 K EN (Browse shelf(Opens below)) Available 001110379
Books - Open Access Books - Open Access Jinja Campus 300.721 K EN (Browse shelf(Opens below)) Available 001110953

Includes bibliographical references (p. 343-346) and index.

Part I. Quantitative data : structure, preparation and analysis appr oaches : 1. Data structure -- 2. Data preparation -- 3. Approaches to d ata analysis -- part II. Variable-based analyses : 4. Univariate analys is -- 5. Bivariate analysis -- 6. Multivariate analysis -- part III. Ca se-based analyses : 7. Set-theoretic methods and configurational data a nalysis -- 8. Cluster and discriminant analysis -- part IV. Comparing a nd communicating results : 9. Comparing and mixing methods -- 10. Evalu ating hypotheses, explaining and communicating results.

"This innovative book provides a fresh take on quantitative data ana lysis within the social sciences. Using multidisciplinary non-experimen tal datasets it demonstrates that data analysis is really an active dia logue between ideas and evidence, between research objectives and data in a dataset." -- Cover.

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