SPSS Survival Manual V.12
Julie Pallant

ISBN: 0335216404,
Division: Open University Press,
Price: £27.99,
Pub Date: NOV-04,

Pages: 336
Edition: 02
Format: Spiral bound

Availability: Not Yet Published

OL1[F]http://www.allenandunwin.com/spss/spss.htm

Description

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

In this fully revised edition of her bestselling text, 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 and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output and an example of how to present the results in a report.

Statistical techniques covered include:

  • Descriptive statistics
  • Correlation
  • Multiple regression
  • Logistic regression
  • Factor analysis
  • T-tests
  • Analysis of variance
  • Multivariate analysis of variance
  • Analysis of covariance
  • Non-parametric tests
For both beginners and experienced SPSS users in psychology, education, business, sociology, health and related disciplines, the SPSS Survival Manual is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This second edition includes new examples, a new section on logistic regression and fully integrated coverage of SPSS version 12.
Author Biography

  • Julie Pallant
    Julie Pallant has spent many years helping students overcome statistics phobia. She is currently a research coordinator in the Faculty of Medicine, Dentistry and Health Sciences at the University of Melbourne, Australia. Previously she has also worked as an applied statistics lecturer, counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.

    • Table of Contents

    Data files and website
    Introduction & overview

    PART ONE: GETTING STARTED
    Chapter 1: Designing a study
    Chapter 2: Preparing a codebook
    Chapter 3: Getting to know SPSS

    PART TWO: PREPARING THE DATA FILE
    Chapter 4: Creating a data file and entering data
    Chapter 5: Screening and cleaning the data

    PART THREE: PRELIMINARY ANALYSES
    Chapter 6: Descriptive statistics
    Chapter 7: Using graphs to describe and explore data
    Chapter 8: Manipulating the data
    Chapter 9: Checking the reliability of a scale
    Chapter 10: Choosing the right statistic

    PART FOUR: STATISTICAL TECHNIQUES TO EXPLORE RELATIONSHIPS
    Techniques covered in Part Four
    Revision of the basics
    References
    Chapter 11: Correlation
    Chapter 12: Partial correlation
    Chapter 13: Multiple regression
    Chapter 14: Logistic regression
    Chapter 15: Factor analysis

    PART FIVE: STATISTICAL TECHNIQUES TO COMPARE GROUPS
    Techniques covered in Part Five
    Assumptions
    Type 1 error, Type 2 error and power
    Planned comparisons/Post-hoc analyses
    Effect size
    References
    Chapter 16: T-tests
    Chapter 17: One-way analysis of variance
    Chapter 18: Two-way between-groups ANOVA
    Chapter 19: Mixed between-within subjects analysis of variance
    Chapter 20: Multivariate analysis of variance
    Chapter 21: Analysis of covariance
    Chapter 22: Non-parametric statistics

    Appendices
    Recommended references
    Index



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