Libros UCLV { BETA }

This is fundamentally a reference book. Parts of the book are written as standalone tutorials to make it easy for you to get into whatever you’re after. Once you’re up and running with SPSS, you can skip around and read just the sections you need. You really don’t want to read straight through the entire book. That way leads to boredom. The book was designed to be used as follows: 1. Read the opening chapter so you’ll understand what SPSS is. I tried to leave out the boring parts. 2. If SPSS is not already installed, you may need to read about installing it. That’s Chapter 2. 3. Read the stuff in Chapter 4 about defining variables and entering data. It all makes sense once you get the hang of it, but the process seems kind of screwy until you see how it works. 4. Skip around to find the things you want to do. I would mention that you could skip the introduction, but it’s too late for that. Besides, you may find some information here that could be useful. One thing that needs to be clear from the beginning: This book is not about statistics. This book is about the things you can do to command SPSS software to calculate statistics for you.

SPSS, standing for Statistical Package for the Social Sciences, is a powerful, user-friendly software package for the manipulation and statistical analysis of data. The package is particularly useful for students and researchers in psychology, sociology, psychiatry, and other behavioral sciences, contain- ing as it does an extensive range of both univariate and multivariate procedures much used in these disciplines. Our aim in this handbook is to give brief and straightforward descriptions of how to conduct a range of statistical analyses using the latest version of SPSS, SPSS 11. Each chapter deals with a different type of analytical procedure applied to one or more data sets primarily (although not exclusively) from the social and behav- ioral areas. Although we concentrate largely on how to use SPSS to get results and on how to correctly interpret these results, the basic theoretical background of many of the techniques used is also described in separate boxes. When more advanced procedures are used, readers are referred to other sources for details. Many of the boxes contain a few mathematical formulae, but by separating this material from the body of the text, we hope that even readers who have limited mathematical background will still be able to undertake appropriate analyses of their data.

This is fundamentally a reference book. Parts of the book are written as stand?alone tutorials to make it easy for you to get into whatever you’re after. Once you’re up and running with SPSS, you can skip around and read just the sections you need. You really don’t want to read straight through the entire book. That way leads to boredom. We know — we went straight through everything to write the book, and believe us, you don’t want to do that. This book is not about math. It’s about statistics. You don’t derive anything. You don’t do any math by hand or look up numbers in statistical tables. You won’t find one explanation of how calculations are performed under the hood. This book is about the things you can do to command SPSS to calcu- late statistics for you. The inside truth is that you can be as dumb as a post about statistical calculation techniques and still use SPSS to produce some nifty stats!

This exercise book was written for the students of the University of Miskolc within the framework of Business Statistics and Quantitative Statistical Methods. Some parts of the exercises are translated from the Hungarian book of Domán – Szilágyi – Varga: Statisztikai elemzések alapjai II, which are supplemented by SPSS exercises on the basis of SPSS 16.0 and 19.0 Tutorial. This book is a tutorial, which includes theoretical background just to understand the examples included.