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

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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.

Author(s): Julie Pallant
Edition: 3
Publisher: Open University Press
Year: 2007

Language: English
Commentary: 176973
Pages: 334

Contents......Page 5
Introduction and overview......Page 12
Using this book......Page 13
Research tips......Page 15
Additional resources......Page 16
Planning the study......Page 19
Choosing appropriate scales and measures......Page 21
Preparing a questionnaire......Page 23
References......Page 26
Variable names......Page 28
Coding open-ended questions......Page 30
Opening an existing data file......Page 32
Working with data files......Page 33
SPSS windows......Page 34
Dialogue boxes......Page 38
Getting help......Page 40
Changing the SPSS 'Options'......Page 43
Defining the variables......Page 46
Entering data......Page 50
Modifying the data file......Page 51
Data entry using Excel......Page 54
Step 1: Checking for errors......Page 56
Step 2: Finding the error in the data file......Page 59
Step 3: Correcting the error in the data file......Page 61
Reference......Page 62
Categorical variables......Page 65
Continuous variables......Page 66
Assessing normality......Page 69
Checking for outliers......Page 74
Additional exercises......Page 78
References......Page 79
Histograms......Page 80
Bar graphs......Page 82
Scatterplots......Page 84
Boxplots......Page 86
Line graphs......Page 88
Editing a chart/graph......Page 90
Importing charts/graphs into Word documents......Page 91
Additional exercises......Page 92
Calculating total scale scores......Page 94
Transforming variables......Page 98
Collapsing a continuous variable into groups......Page 101
Collapsing the number of categories of a categorical variable......Page 102
Additional exercises......Page 104
Reference......Page 105
Details of example......Page 106
Presenting the results from reliability......Page 108
References......Page 109
Overview of the different statistical techniques......Page 110
The decision-making process......Page 114
Key features of the major statistical techniques......Page 120
References......Page 125
Summary table of the characteristics of the main statistical techniques......Page 126
11 Correlation......Page 137
Details of example......Page 138
Preliminary analyses for correlation......Page 139
Interpretation of output from correlation......Page 141
Presenting the results from correlation......Page 143
Obtaining correlation coefficients between groups of variables......Page 144
Testing the statistical significance of the difference between correlaion coefficients......Page 148
Reference......Page 151
Details of example......Page 152
Interpretation of output from partial correlation......Page 154
References......Page 155
13 Multiple regression......Page 156
Major types of multiple regression......Page 157
Assumptions of multiple regression......Page 158
Details of example......Page 160
Standard multiple regression......Page 162
Hierarchical multiple regression......Page 171
Interpretation of output from hierarchical multiple regression......Page 173
Additional exercises......Page 174
References......Page 175
14 Logistic regression......Page 176
Assumptions......Page 177
Data preparation: coding of responses......Page 178
Interpretation of output from logistic regression......Page 182
Presenting the results from logistic regression......Page 186
References......Page 187
15 Factor analysis......Page 188
Steps involved in factor analysis......Page 189
Details of example......Page 193
Procedure for factor analysis......Page 194
Presenting the results from factor analysis......Page 206
Additional exercises......Page 208
References......Page 209
Independent-samples t-test......Page 221
Paired-samples t-test......Page 225
Reference......Page 229
17 One-way analysis of variance......Page 230
One-way between groups ANOVA with post-hoc tests......Page 231
One-way between groups ANOVA with planned comparisons......Page 236
One-way repeated measures ANOVA......Page 239
Additional exercises......Page 243
References......Page 244
Details of example......Page 245
Interpretation of output from two-way ANOVA......Page 249
Additional analyses if you obtain a significant interaction effect......Page 252
Additional exercises......Page 253
References......Page 254
Details of example......Page 255
Interpretation of output from mixed between-within ANOVA......Page 260
Reference......Page 262
20 Multivariate analysis of variance......Page 263
Details of example......Page 264
Assumption testing......Page 265
Performing MANOVA......Page 271
Interpretation of output from MANOVA......Page 274
References......Page 277
Uses of ANCOVA......Page 279
Assumptions of ANCOVA......Page 281
One-way ANCOVA......Page 283
Two-way ANCOVA......Page 293
References......Page 301
Summary of techniques civered in this chapter......Page 302
Chi-square......Page 303
Mann-Whitney U test......Page 307
Wilcoxon Signed Rank Test......Page 308
Kruskall-Wallis Test......Page 310
Friedman Test......Page 312
Spearman's Rank Order Correlation......Page 313
Additional exercises......Page 314
References......Page 315
Part A: materials for survey.sav......Page 318
Part B: Materials for experim.sav......Page 323
Part C: Materials for staffsurvey.sav......Page 324
Part D: Materials for sleep.sav......Page 327
Recommended references......Page 329
Index......Page 332