Quantitative data analysis with IBM SPSS 17, 18 and 19 : a guide for social scientists / Alan Bryman and Duncan Cramer

By: Contributor(s): Publication details: Hove ; New York : Routledge, 2011Description: xxv, 377 p. : ill ; 25 cmContent type:
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  • Quantitative data analysis with IBM SPSS 17, 18 & 19 [Cover title]
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  • HA32
Contents:
Machine generated contents note: 1.Data analysis and the research process -- 2.Analysing data with computers: first steps with SPSS 17, 18 and 19 -- 3.Analysing data with computers: further steps with SPSS 17, 18 and 19 -- 4.Concepts and their measurement -- 5.Summarizing data -- 6.Sampling and statistical significance -- 7.Bivariate analysis: exploring differences between scores on two variables -- 8.Bivariate analysis: exploring relationships between two variables -- 9.Multivariate analysis: exploring differences among three or more variables -- 10.Multivariate analysis: exploring relationships among three or more variables -- 11.Aggregating variables: exploratory factor analysis.
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Includes bibliographical references (p. 365-368) and index.

Machine generated contents note: 1.Data analysis and the research process -- 2.Analysing data with computers: first steps with SPSS 17, 18 and 19 -- 3.Analysing data with computers: further steps with SPSS 17, 18 and 19 -- 4.Concepts and their measurement -- 5.Summarizing data -- 6.Sampling and statistical significance -- 7.Bivariate analysis: exploring differences between scores on two variables -- 8.Bivariate analysis: exploring relationships between two variables -- 9.Multivariate analysis: exploring differences among three or more variables -- 10.Multivariate analysis: exploring relationships among three or more variables -- 11.Aggregating variables: exploratory factor analysis.

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