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

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

Julie Pallant, "SPSS Survival Manual: A Step by Step Guide to Data Analysis Using SPSS for Windows"
Open University Press | 2007 | ISBN: 0335223664 | 352 pages | PDF | 26,5 MB

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.



Summary: SPSS - step by step procedures - good for the first course
Rating: 5

I have searched and read some SPSS books and I consider the SPSS Survival Manual the best boook for the first SPSS course to learn SPSS.

There are several reasons.

First, the book is very concise and the author guides you step-by-step to learn how to use SPSS menu. Unlike some books that describe the SPSS use in a very wordy way, this author guides you through how to perform a t-test in several steps, for instance, and then shows you how to interpret the output in a detailed manner. The book is about 330 pages and contains many SPSS outputs, and thus it is possible to finish in a short time.~

Second,the author covers essential statistics that you would encounter in the beginning of the statistics class. Beside that the part one (Getting started) and part two (Preparing the data file) include how to manipulate data, the part three (preliminary analyses) and part four (Statistical techniques) include descriptive statistics and correlation, multiple regression, factor analyses, t-test, one-way ANOVA, two-way ANOVA, MANOVA, ANCOVA, and non-parametric statsitics. You will have a general idea about the applied statistics once you go through the book.

There are some limitations about this book.

First, the book is in a spiral binding (not paper or hardcover) and thus is easy to damage the book cover (although it is easy to open and read).

Second, I wish that this book also include more advanced statistics such as ROC, Time Series, and Survival analysis. But I guess that it is beyond the scope of this book. Otherwise, that would be nice.

Therefore, I personally strongly recommend this book for someone who would like to get into SPSS. This book will save you plenty of time.


Summary: Truly a survival manual
Rating: 5

This was highly recommended to me and was well worth it. I had no difficulty following the steps as they were so well laid out and included screen shots. This book takes the majority of the anxiety out of statistical analysis.

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