7th Edition

SPSS Survival Manual A step by step guide to data analysis using IBM SPSS

By Julie Pallant Copyright 2020
    378 Pages
    by Routledge

    378 Pages
    by Routledge

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

    In her bestselling manual, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic through to advanced statistical techniques. She outlines each technique clearly, providing step by step procedures for performing your analysis, a detailed guide to interpreting data output and examples of how to present your 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. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.

    This seventh edition is fully revised and updated to accommodate changes to IBM SPSS Statistics procedures, screens and output.

    A website with support materials for students and lecturers is available at https://routledgetextbooks.com/textbooks/9781760875534/

    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


    JULIE PALLANT has spent many years helping students overcome 'statistics phobia' in her roles as Director of Research and Graduate Studies in the Department of Rural Health at the University of Melbourne, and Senior Lecturer in Applied Statistics at Swinburne University. She has worked as a counselling psychologist, and has taught psychology, statistics and research methods at a number of universities. She now works as a research and statistical consultant internationally.

    'An excellent introduction to using SPSS for data analysis. It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided.' - Associate Professor George Dunbar, University of Warwick

    'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.' - Dr John Roodenburg, Monash University