Quantitative data analysis with SPSS 12 and 13 : a guide for social scientists / Alan Bryman and Duncan Cramer.

By: Bryman, AlanContributor(s): Cramer, Duncan, 1948-Material type: TextTextPublisher: London ; New York : Routledge, 2005Description: xxv, 367 p. : ill. ; 25 cmISBN: 0415340802 (pbk.); 9780415340809 (pbk.); 0415340810 (hbk); 9780415340816 (hbk)Subject(s): SPSS for Windows | Social sciences -- Statistical methods -- Computer programsDDC classification: 300.285/555 LOC classification: HA32 | .B798 2005Online resources: Publisher description
Contents:
Data analysis and the research process -- Analyzing data with computers : first steps with SPSS 12 and 13 -- Analyzing data with computers : further steps with SPSS 12 and 13 -- 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.
Summary: This text provides a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS. It takes the reader step-by-step through the techniques, reinforced by exercises.
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Item type Current library Call number Copy number Status Notes Date due Barcode
Books Books Female Library
HA32 .B798 2005 (Browse shelf (Opens below)) 1 Available STACKS 51952000104520
Books Books Main Library
HA32 .B798 2005 (Browse shelf (Opens below)) 1 Available STACKS 51952000129622

Includes bibliographical references (p. 355-358) and index.

Data analysis and the research process -- Analyzing data with computers : first steps with SPSS 12 and 13 -- Analyzing data with computers : further steps with SPSS 12 and 13 -- 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.

This text provides a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS. It takes the reader step-by-step through the techniques, reinforced by exercises.

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