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

Front Cover
Allen & Unwin, Oct 1, 2010 - Reference - 372 pages
6 Reviews
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.

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.

In this third edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A new flowchart is included for SPSS procedures, and factor analysis procedures have been streamlined. It includes extra examples and material on syntax. Additional datafiles are available on the book's support website.
 

What people are saying - Write a review

User ratings

5 stars
4
4 stars
0
3 stars
2
2 stars
0
1 star
0

User Review - Flag as inappropriate

a must have.

User Review - Flag as inappropriate

Post Hoc analysis-rferencia 2

Contents

Part One Getting started
1
Part Two Preparing the data file
25
Part Three Preliminary analyses
51
Part Four Statistical techniques to explore relationships among variables
119
Part Five Statistical techniques to compare groups
201
Appendix Details of data files
312
Recommended reading
327
References
329
Index
333
Copyright

Other editions - View all

Common terms and phrases

Popular passages

Page 254 - Tests the null hypothesis that the error covariance matrix of the orthonormalized transformed dependent variables is proportional to an identity matrix. a- May be used to adjust the degrees of freedom for the averaged tests of significance. Corrected tests are displayed in the Tests of Within-Subjects Effects table. b- Design: Intercept...
Page 234 - Levene's Test for \ Equality of Variances \ t-test for Equality of Means \ \ 95% Confidence \ Interval of the Sig.
Page 216 - Symmetric Measures a- Not assuming the null hypothesis. b- Using the asymptotic standard error assuming the null hypothesis.
Page 254 - Based on estimated marginal means * The mean difference is significant at the .05 level. a Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).
Page 260 - Tests the null hypothesis that the error variance of the dependent variable is equal across groups. a Design: Intercept+FERTILIZ+FARM Tests of Between-Subjects Effects Dependent Variable: YIELD a. MS(FARM) b MS(Error) The first table, 'Levene's Test of Equality of Error Variances', would normally contain an estimate of the homogeneity of the variances in each factor combination.
Page 101 - A full discussion of this point is beyond the scope of this paper (rather, see Chilman, 1983).
Page 327 - Gable, RK, & Wolf, MB (1993). Instrument development in the affective domain: Measuring attitudes and values in corporate and school settings.

References to this book

All Book Search results »

About the author (2010)

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.

Bibliographic information