Analysing quantitative data : variable-based and case-based approaches to non-experimental datasets / Raymond Kent.
Material type: TextPublication 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 2015Item type | Current library | Call number | Status | Notes | Date due | Barcode |
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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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