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Quantitative data analysis with SPSS 14, 15 and 16 : a guide for social scientists / Alan Bryman and Duncan Cramer. Textual Documents

By: Bryman, Alan, 1948-Contributor(s): Cramer, DuncanMaterial type: TextTextPublisher: London ;: New York : Routledge, 2009Description: xxv, 381 p. : ill. ; 26 cmISBN: 9780415440882; 0415440882; 9780415440899; 0415440890Subject(s): SPSS for Windows | Social sciences. -- Statistical methods. -- Computer programs | SPSS | Sociaal-wetenschappelijk onderzoek | Data-analyse | SPSS 14.0 für WINDOWS | SPSS 15.0 für WINDOWS | SPSS 16.0 für WINDOWS | Social ResearchDDC classification: 300.72 | 70.03 | ST 601 S69 | ST 601 Online resources: Click here to access online | Click here to access online | Click here to access online | Click here to access online
Contents:
Data analysis and the research process -- Analysing data with computers : first steps with SPSS 14, 15, and 16 -- Analysing data with computers : further steps with SPSS 14, 15 and 16 -- Concepts and their measurement -- Summarizing data -- Sampling and statistical significance -- Bivariate analysis : exploring differences between scores on two variables -- Bivariate analysis : exploring relationships between two variables -- Multivariate analysis : exploring differences among three or more variables -- Multivariate analysis : exploring relationships among three or more variables -- Aggregating variables : exploratory factor analysis.
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300.72 BRY (Browse shelf) 1 Available 133417

Includes bibliographical references (p. 369-372) and index.

Data analysis and the research process -- Analysing data with computers : first steps with SPSS 14, 15, and 16 -- Analysing data with computers : further steps with SPSS 14, 15 and 16 -- Concepts and their measurement -- Summarizing data -- Sampling and statistical significance -- Bivariate analysis : exploring differences between scores on two variables -- Bivariate analysis : exploring relationships between two variables -- Multivariate analysis : exploring differences among three or more variables -- Multivariate analysis : exploring relationships among three or more variables -- Aggregating variables : exploratory factor analysis.

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