"An excellent introduction to using SPSS for data analysis ... It provides a self-contained resource, with more than simply (detailed and clear) step by step descriptions of statistical procedures in SPSS."
Associate Professor George Dunbar, University of Warwick, UK
"The book provides a no nonsense approach to understanding SPSS. With step by step explanations to carrying out data analysis it is a welcome addition to any social science student."
Gail Steptoe Warren, University of Coventry, UK
"Doing statistics is just like following a cooking recipe, you have to do it step by step. This book offers just that, a step by step guide to all of the main statistics you need to learn ... It has become a must havego-to reference text for established researchers and students alike!"
Alison Attrill, De Montfort University, UK
The SPSS Survival Manual throws a lifeline tostudents and researchers grappling with this powerfuldata analysis software.
In her bestselling guide, now covering up to version 21 of the SPSS software, Julie Pallant guides you through the entire research process, helping you choose the rightdata 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 data output and an example of how to present the results in a report.
For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manualis 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 fifth edition is fully revised and updated to accommodate changes to IBM SPSS version 21 procedures, screens and output. Additional recommended readings andwebsites have been added.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Part One: Getting started
1 Designing a study
2 Preparing a codebook
3 Getting to know IBM SPSS
Part Two: Preparing the data file
4Creating a data file and entering data
5Screening and cleaning the data
Part Three: Preliminary analyses
6Descriptive statistics
7Using graphs to describe and explore the data
8Manipulating the data
9Checking the reliability of a scale
10Choosing the right statistic
Part Four: Statistical techniques to explore relationships among variables
11Correlation
12Partial correlation
13Multiple regression
14Logistic regression
15Factor analysis
Part Five: Statistical techniques to compare groups
16Non-parametric statistics
17T-tests
18One-way analysis of variance
19Two-way between-groups ANOVA
20Mixed between-within subjects analysis of variance
21Multivariate analysis of variance
22Analysis of covariance
Appendix: Details of data files
Recommended reading
References
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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