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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: TextTextPublisher: Los Angeles : Sage, [2015]Copyright date: ©2015Description: xxii, 349 pages : illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781446273401 (hardcover); 1446273407 (hardcover); 9781446273418 (paperback); 1446273415 (paperback).Subject(s): Quantitative research -- Methodology | Social sciences -- School of Business and Education -- Methodology | Qualitative research | Methodologie | Quantitative MethodeDDC classification: H 62 .K46 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." -- Cover.
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Item type Current location Collection Call number Status Date due Barcode Item holds
Long Loan Book Long Loan Book Kirinyaga University Library
General Stacks
Non-fiction H 62 .K46 2015 (Browse shelf) Available KYU/2017/5401
Total holds: 0

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." -- Cover.

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