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Chapter 1
IN THIS CHAPTER
Considering the quality of your data
Communicating with SPSS
Seeing how SPSS works
Finding help when you're stuck
A statistic is a number, but it's a special kind of number. A statistic is a measurement of some sort. It's fundamentally a count of something - occurrences, speed, amount, or whatever. A statistic is calculated using a sample. In a sense, a sample is the keyhole you have to peer through to see the population, which is what you're trying to understand. The value at the population level - the average height of an American male, for instance - is called a parameter. Unless you've got all the data there is, and you've collected a census of the population, you have to make do with the data in your sample. The job of SPSS is to calculate. Your job is to provide a good sample. Together you try to understand the population even though all you have is a sample.
In this chapter, we discuss the importance of having accurate, reliable data, and some of the implications when this is not the case. We talk also about how best to organize your data in SPSS and the different kinds of files that SPSS creates. We take a trip down memory lane and discuss the origins of SPSS so you can understand all of its many names. We discuss what can be done in the program and the different ways of communicating with the software. Finally, we spend some time discussing different ways in which you can get help when navigating SPSS.
It's important to have appropriate expectations. In this section, we discuss the various roles that all parties play with regard to learning to use SPSS.
After you give SPSS data and instructions, it will perform the calculations for you. The data and the metadata - the information about the data - have to be correct. (We have a lot to say about metadata.) The instructions have to be correct as well. Correct data processed with the wrong technique won't give you the results you need.
SPSS won't make math errors. That's not the kind of errors computers make. They always do exactly what we tell them to do, and sometimes that's the problem. SPSS's job is to take data that has been declared correctly and produce statistical results in the form of tables and charts that allow you to draw conclusions about your data - if you know how to interpret those results.
Your authors, Jesus and Keith, have had so many hours using SPSS that we've lost count. You may have heard of the somewhat controversial 10,000 hour rule, which states that you need that many hours of "deliberate practice" to truly master a complex subject. Well, you'll be pleased to know that Jesus and Keith each have more than 10,000 classroom hours teaching SPSS in addition to decades of using it on our own projects.
As the authors, we are primarily responsible for the following:
Your number one job is to relax. You might be reading this book because you're up against a deadline or something in SPSS is causing you stress. However, if you take a little time now to understand how to work in SPSS efficiently, it will pay off in the long run. You have some other responsibilities:
SPSS doesn't warn you when there is something wrong with your sample. Its job is to work on the data you give it. If what you give SPSS is incomplete or biased, or if there is data that doesn't belong in there, the resulting calculations won't reflect the population very well. Not much in the SPSS output will signal to anyone that there is a problem. So, if you're not careful, you can conclude just about anything from your data and your calculations.
Consider the data in Table 1-1. What if you calculated the survival rate of Titanic passengers based on this small sample? What if you calculated what fraction of the passengers were in each class of service? You can easily see that you'd be in real trouble.
TABLE 1-1 Sample of Titanic Passengers
Survived or Died
Class
Name
Sex
Age
Fare Paid
Cabin
Embarkation
Died
1
Andrews, Mr. Thomas, Jr.
Male
39
0.00
A36
Southampton
Parr, Mr. William Henry Marsh
Fry, Mr. Richard
B102
Harrison, Mr. William
40
B94
Reuchlin, Mr. John George
38
2
Parkes, Mr. Francis "Frank"
Cunningham, Mr. Alfred Fleming
Campbell, Mr. William
Frost, Mr. Anthony Wood "Archie"
Knight, Mr. Robert J.
Watson, Mr. Ennis...
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