Description

Book Synopsis

This new edition has been completely updated to accommodate the needs of users of SPSS Release 12 and 13 for Windows, whilst still being applicable to those using SPSS Release 11 and 10.

Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to techniques including:

  • Non-parametric tests
  • Correlation
  • Simple and multiple regression
  • Multivarate analysis of variance and covariance
  • Factor analysis

The authors discuss key issues facing the newcomer to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understandin

Trade Review

"The strengths of this book include its ability to integrate good advice on choosing the appropriate statistical test for the data yielded, procedures for carrying out appropriate statistical analyses, and on the interpretation of the findings from the analyses. It will prove an essential guide to students and researchers alike." - Tom Heffernan, Senior Lecturer in Psychology, Northumbria University



Table of Contents
Data Analysis and the Research Process. Analyzing Data with Computers: First Steps with SPSS 12. Analyzing Data with Computers: Further Steps with SPSS 12. Concepts and their Measurement. Summarizing Data. Sampling and Statistical Significance. Bivariate Analysis: Exploring Differences between Scores on Two Variables. Bivariate Analysis: Exploring Relationships. Multivariate Analysis: Exploring Differences Among Three or More Variables. Multivariate Analysis: Exploring Relationships Among Three or More Variables. Aggregating Variables: Exploratory Factor Analysis. Answers to Exercises.

Quantitative Data Analysis with SPSS 12 and 13 A

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A Hardback by Alan Bryman, Duncan Cramer

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    View other formats and editions of Quantitative Data Analysis with SPSS 12 and 13 A by Alan Bryman

    Publisher: Taylor & Francis Ltd
    Publication Date: 23/12/2004
    ISBN13: 9780415340816, 978-0415340816
    ISBN10: 0415340810

    Description

    Book Synopsis

    This new edition has been completely updated to accommodate the needs of users of SPSS Release 12 and 13 for Windows, whilst still being applicable to those using SPSS Release 11 and 10.

    Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS. No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to techniques including:

    • Non-parametric tests
    • Correlation
    • Simple and multiple regression
    • Multivarate analysis of variance and covariance
    • Factor analysis

    The authors discuss key issues facing the newcomer to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understandin

    Trade Review

    "The strengths of this book include its ability to integrate good advice on choosing the appropriate statistical test for the data yielded, procedures for carrying out appropriate statistical analyses, and on the interpretation of the findings from the analyses. It will prove an essential guide to students and researchers alike." - Tom Heffernan, Senior Lecturer in Psychology, Northumbria University



    Table of Contents
    Data Analysis and the Research Process. Analyzing Data with Computers: First Steps with SPSS 12. Analyzing Data with Computers: Further Steps with SPSS 12. Concepts and their Measurement. Summarizing Data. Sampling and Statistical Significance. Bivariate Analysis: Exploring Differences between Scores on Two Variables. Bivariate Analysis: Exploring Relationships. Multivariate Analysis: Exploring Differences Among Three or More Variables. Multivariate Analysis: Exploring Relationships Among Three or More Variables. Aggregating Variables: Exploratory Factor Analysis. Answers to Exercises.

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