SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS for Windows (Version 15) / Edition 3

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Overview

Praise for previous editions:

"This book really is a life saver ... If the mere thought of statistics gives you a headache, then this is the book for you." - Statistics student, UK

"I just wanted to say how much I value Julie Pallant's SPSS Survival Manual. It’s quite the best text in SPSS I’ve encountered and I recommend it to anyone who’s listening!" - Professor Carolyn Hicks, Birmingham University, UK

"... one of the most useful functional pieces of instruction I have seen. So, gold star and thanks." - Instructional designer, USA

"There are several SPSS manuals published and this one really does 'do what it says on the tin' ... Whether you are a beginner doing your BSc or struggling with your PhD research (or beyond!), I wholeheartedly recommend this book." - British Journal of Occupational Therapy, UK

Praise for the new edition:

"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, Department of Psychology, University of Warwick, UK

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.

For both beginners and experienced SPSS users in psychology, sociology, health sciences, medicine, education, business 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.

In this third edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output in version 15. A new flowchart is included for SPSS procedures, and factor analysis procedures have been streamlined. It also includes more examples and material on syntax. Additional data files are available on the book's supporting website.

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.

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Product Details

  • ISBN-13: 9780335223664
  • Publisher: McGraw-Hill Companies,Inc.
  • Publication date: 8/28/2007
  • Format: Spiral Bound
  • Edition description: REV
  • Edition number: 3
  • Pages: 352
  • Product dimensions: 8.70 (w) x 10.00 (h) x 0.98 (d)

Meet the Author

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.

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Table of Contents

Pt. 1 Getting started 1
1 Designing a study 3
2 Preparing a codebook 12
3 Getting to know SPSS 16
Pt. 2 Preparing the data file 25
4 Creating a data file and entering data 27
5 Screening and cleaning the data 40
Pt. 3 Preliminary analyses 47
6 Descriptive statistics 49
7 Using graphs to describe and explore the data 64
8 Manipulating the data 78
9 Checking the reliability of a scale 90
10 Choosing the right statistic 94
Pt. 4 Statistical techniques to explore relationships among variables 113
11 Correlation 121
12 Partial correlation 136
13 Multiple regression 140
14 Logistic regression 160
15 Factor analysis 172
Pt. 5 Statistical techniques to compare groups 195
16 T-tests 205
17 One-way analysis of variance 214
18 Two-way between-groups ANOVA 229
19 Mixed between-within subjects analysis of variance 239
20 Multivariate analysis of variance 247
21 Analysis of covariance 263
22 Non-parametric statistics 286
App. Pt. A Materials for survey.sav 302
App. Pt. B Materials for experim.sav 307
App. Pt. C Materials for staffsurvey.sav 308
App. Pt. D Materials for sleep.sav 311
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