SPSS for Dummies, 15th Edition
Год: 2007
Автор: Griffith Arthur
Жанр: руководство
Издательство: Wiley
Серия: для чайников
ISBN: 978-0-470-11344-8
Формат: PDF
Качество: eBook (изначально компьютерное)
Количество страниц: 363
Описание: 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. After 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. I know — I went straight through everything to write the book, and believe me, you don't want to do that.
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.
3. Read the stuff in Chapter 4 about defining variables and entering data. It all makes sense after you get the hang of it, but the process seems to be 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'll find some information here that could be useful.
This book is not about statistics. You will not find one explanation of statistical theory or how calculations are performed. This book is about what you can do to command SPSS to calculate 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. You have my permission to stop thinking right now.
However, if you decide to study the techniques of statistical calculation, you'll be able to understand what SPSS does to produce numbers. Your main advantage in understanding the process to that degree of detail is that you'll be able to choose a calculation method that more closely models the reality you are trying to analyze — if you are interested in reality.