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Quantitative Data Analysis with IBM SPSS 17, 18 & 19 [electronic resource] : A Guide for Social Scientists

By: Contributor(s): Material type: Computer fileComputer filePublisher number: 9780415579186Publication details: Hoboken : Taylor and Francis, 2012.ISBN:
  • 9780203180990
Subject(s): Genre/Form: Additional physical formats: No title; Print version:: Quantitative Data Analysis with IBM SPSS 17, 18 & 19 : A Guide for Social ScientistsDDC classification:
  • 005.5/5 005.55 300.285536
LOC classification:
  • HA32 .B7992 2011
Online resources:
Contents:
Cover; Quantitative Data Analysis with IBM SPSS17, 18 and 19; Copyright; Contents; Figures; Tables; Boxes; Preface; 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 variables10. Multivariate analysis: exploring relationships among three or more variables; 11. Aggregating variables: exploratory factor analysis; Answers to exercises; Appendix; Glossary; References; Index
Summary: This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16.As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them.No previous experience of statistics or computing is required as this book provides a step
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Enhanced descriptions from Syndetics:

Description based upon print version of record.

Cover; Quantitative Data Analysis with IBM SPSS17, 18 and 19; Copyright; Contents; Figures; Tables; Boxes; Preface; 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 variables10. Multivariate analysis: exploring relationships among three or more variables; 11. Aggregating variables: exploratory factor analysis; Answers to exercises; Appendix; Glossary; References; Index

This latest edition has been fully updated to accommodate the needs of users of SPSS Releases 17, 18 and 19 while still being applicable to users of SPSS Releases 15 and 16.As with previous editions, Alan Bryman and Duncan Cramer continue to offer a comprehensive and user-friendly introduction to the widely used IBM SPSS Statistics. The simple, non-technical approach to quantitative data analysis enables the reader to quickly become familiar with SPSS and with the tests available to them.No previous experience of statistics or computing is required as this book provides a step