Description

Book Synopsis
The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.


In her bestselling guide, Julie Pallant takes you through the entire research process, helping you choose the right data analysis technique for your project. This edition has been updated to include up to SPSS version 26. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report.


For both beginners and experienced users in Psychology, Sociology, Health Sciences, Medicine, Education, Business and related disciplines, the SPSS Survival Manual is an essential text. It is illustrated throughout with screen grabs, examples of output and

Table of Contents
Preface
Data files and website
Introduction and overview


Part One Getting started
1 Designing a study
2 Preparing a codebook
3 Getting to know IBM SPSS Statistics


Part Two Preparing the data file
4 Creating a data file and entering data
5 Screening and cleaning the data


Part Three Preliminary analyses
6 Descriptive statistics
7 Using graphs to describe and explore the data
8 Manipulating the data
9 Checking the reliability of a scale
10 Choosing the right statistic


Part Four Statistical techniques to explore relationships among variables
11 Correlation
12 Partial correlation
13 Multiple regression
14 Logistic regression
15 Factor analysis


Part Five Statistical techniques to compare groups
16 Non-parametric statistics
17 T-tests
18 One-way analysis of variance
19 Two-way between-groups ANOVA
20 Mixed between-within subjects analysis of variance
21 Multivariate analysis of variance
22 Analysis of covariance


Appendix: Details of data files
Recommended reading
References
Index


SPSS Survival Manual A Step by Step Guide to Data

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    £32.24

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    RRP £42.99 – you save £10.75 (25%)

    Order before 4pm tomorrow for delivery by Wed 17 Jun 2026.

    A Paperback / softback by Julie Pallant


      View other formats and editions of SPSS Survival Manual A Step by Step Guide to Data by Julie Pallant

      Publisher: Open University Press
      Publication Date: 09/04/2020
      ISBN13: 9780335249497, 978-0335249497
      ISBN10: 0335249493

      Description

      Book Synopsis
      The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.


      In her bestselling guide, Julie Pallant takes you through the entire research process, helping you choose the right data analysis technique for your project. This edition has been updated to include up to SPSS version 26. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report.


      For both beginners and experienced users in Psychology, Sociology, Health Sciences, Medicine, Education, Business and related disciplines, the SPSS Survival Manual is an essential text. It is illustrated throughout with screen grabs, examples of output and

      Table of Contents
      Preface
      Data files and website
      Introduction and overview


      Part One Getting started
      1 Designing a study
      2 Preparing a codebook
      3 Getting to know IBM SPSS Statistics


      Part Two Preparing the data file
      4 Creating a data file and entering data
      5 Screening and cleaning the data


      Part Three Preliminary analyses
      6 Descriptive statistics
      7 Using graphs to describe and explore the data
      8 Manipulating the data
      9 Checking the reliability of a scale
      10 Choosing the right statistic


      Part Four Statistical techniques to explore relationships among variables
      11 Correlation
      12 Partial correlation
      13 Multiple regression
      14 Logistic regression
      15 Factor analysis


      Part Five Statistical techniques to compare groups
      16 Non-parametric statistics
      17 T-tests
      18 One-way analysis of variance
      19 Two-way between-groups ANOVA
      20 Mixed between-within subjects analysis of variance
      21 Multivariate analysis of variance
      22 Analysis of covariance


      Appendix: Details of data files
      Recommended reading
      References
      Index


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