Analysing quantitative data : variable-based and case-based approaches to non-experimental datasets / Raymond Kent.
By: Kent, Raymond A [author.].
Material type:
TextPublisher: 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 | Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Long Loan Book
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Kirinyaga University Library General Stacks | Non-fiction | H 62 .K46 2015 (Browse shelf) | Available | KYU/2017/5401 |
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| H 62 .H38 1978 Main trends of research in the social and human sciences | H 62 .H38 1978 Main trends of research in the social and human sciences: | H62 .K37 2006 Research methods in humanities and education | H 62 .K46 2015 Analysing quantitative data : | H62 K68 2010 Research methodology: | H 62 .K68 2014 Research methodology : | H 62 .K86 2014 Research methodology : |
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.