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

By: Kent, Raymond A [author.]Material type: TextTextPublication details: New Delhi: SAGE, 2015 Description: xxii, 349 pages : illustrations ; 25 cmISBN: 9781446273401 (hardcover); 1446273407 (hardcover); 9781446273418 (paperback); 1446273415 (paperback)Subject(s): Quantitative research -- Methodology | Social sciences -- Research -- Methodology | Qualitative research | Methodologie | Quantitative MethodeDDC classification: 302.072 LOC classification: H62 | .K4176 2015
Contents:
Part I. Quantitative data : structure, preparation and analysis approaches : 1. Data structure -- 2. Data preparation -- 3. Approaches to data analysis -- part II. Variable-based analyses : 4. Univariate analysis -- 5. Bivariate analysis -- 6. Multivariate analysis -- part III. Case-based analyses : 7. Set-theoretic methods and configurational data analysis -- 8. Cluster and discriminant analysis -- part IV. Comparing and communicating results : 9. Comparing and mixing methods -- 10. Evaluating hypotheses, explaining and communicating results.
Summary: "This innovative book provides a fresh take on quantitative data analysis within the social sciences. Using multidisciplinary non-experimental datasets it demonstrates that data analysis is really an active dialogue between ideas and evidence, between research objectives and data in a dataset." --
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Item type Current library Call number Status Notes Date due Barcode
Books Books Bangladesh Public Administration Training Centre Library
General Reading Room
302.072 REA 2015 (Browse shelf(Opens below)) Available Rasal 99260
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302.072 PAK 2004 Key concepts in social research / 302.072 QUA 2002 Qualitative research in action / 302.072 RAH 2006 A handbook of research process / 302.072 REA 2015 Analysing quantitative data : 302.072 RES 2000 Research training for social scientists : 302.072 RES 2000 Research training for social scientists : 302.072 S0C 2000 Sociological research :

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

Part I. Quantitative data : structure, preparation and analysis approaches : 1. Data structure -- 2. Data preparation -- 3. Approaches to data analysis -- part II. Variable-based analyses : 4. Univariate analysis -- 5. Bivariate analysis -- 6. Multivariate analysis -- part III. Case-based analyses : 7. Set-theoretic methods and configurational data analysis -- 8. Cluster and discriminant analysis -- part IV. Comparing and communicating results : 9. Comparing and mixing methods -- 10. Evaluating hypotheses, explaining and communicating results.

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

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