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

Product form

£38.69

Includes FREE delivery

RRP £42.99 – you save £4.30 (10%)

Order before 4pm today for delivery by Fri 19 Dec 2025.

A Paperback / softback by Julie Pallant

15 in stock


    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


    Recently viewed products

    © 2025 Book Curl

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account