Assignment One
Objectives:
Students will become familiar with basic features of SPSS v.10.Specifically
you should learn how to create, input and save SPSS data.After you have
created an SPSS data set, basic descriptive statistics and correlations
will be computed.
Part One: Creating an SPSS Data Set
1. First, you will need to get a copy of the in-class handout showing
data for twenty-eight countries. Click here
if you need a copy of the data sheet. This cross-national data set includes
measures for: Infant Mortality Rates per 1000 births (IM), Per Capita Gross
Domestic Product (pcGDP), Number of Telephones per Person (1TelPer), Number
of Hospital Beds per Person (1HospPer), and Percentage of Persons living
in Urban Areas (%Urban).
2. Using the handout, create a data set in SPSS. Here's how…
·Open the SPSS program by going to the Programs options and clicking
on SPSS V.10 for Windows.
·Once the program opens, you should select the option "Type in Data."
·A data sheet will appear.Notice the columns are not named and each
has a label "var." Along the left side, you will see a column of numbers
that correspond to individual rows.
·Notice at the bottom left of your SPSS screen, there are two folder
tabs. The first is labeled "Data View" and the second is "Variable View."
The "Data View" allows you to see your data while the "Variable View" is
where you will specify variable type and constraints.
·You should first name and specify your field names (a variable).For
this assignment, you should only enter data for "IM", "pcGDP",and "1TelPer".
·Go to the "variable View."
·Type "im" for infant mortality rate in the space to the right of
row 1 under "Name". The letters will automatically change to lower case.
·Specify the "Type" of data. IM is a numeric variable.
·Specify the "Width" of the data. None of the infant mortality rates
are greater than three spaces.
·Specify "Decimals". This refers to the number of decimal spaces
you wish to allow in your data. IM has no decimal spaces.
·Specify "Label".This refers to how your data will be labeled in
you output. It is usually best to label your data in such a way that others
who are not familiar with your data will be able to decipher your variables.
Type in "Infant Mortality Rate".
·Specify "Values". You can specify specific values if needed. We'll
talk more about this later. For now, just leave this as "None".
·Specify "Missing". Some data sets code missing data (i.e. 99).
The current data set does not have any special codes for missing data.
Leave it as "None".
·Specify "Columns". Again just leave the default value.We'll discuss
this more later.
·Specify "Align". This refers to how you want to justify your data.It's
mostly personal preference.
·Specify "Measure". You should specify the type of data included
in this variable. Is it scale, ordinal, or nominal?
·Repeat this procedure for "pcGDP",and "1TelPer".
3. Now you are ready to begin entering data into your data set.
Here's how:
·Click on "Data View" in the bottom left hand of your screen.
·Notice that your three variable columns are shown in the first
three columns in the gray area.
·You may enter data into a specific cell by clicking in that cell
and typing the value. Notice the top of the screen also shows a data editor,
which is also useful in entering and editing data.
·You can move from cell to cell by using the arrow keys. Numeric
data can be entered either on the number keys above the letters on your
keyboard or on the numeric keypad on the left side of your keyboard (use
number lock if you choose this option).
·Enter the data from the handout in the corresponding column of
your data set.
4. After entering all the data, you should save your data set by either choosing "Save" on the File menu or by clicking on the diskette icon at the top of the screen. Be certain to save the file to a floppy disk and not to the hard drive on the lab computers. If you are uncertain about saving files, ask.
5. Congratulations! You now have a data set stored in SPSS.
Part Two: Descriptives and Correlations
1. Now that you have created a data set with three variables,
we want to demonstrate some of the very useful features of SPSS. Descriptive
statistics, particularly measures of central tendency, are probably the
most widely used measures in business and in research. These include such
measures as mean, median, mode, range, etc. For this assignment, we want
to calculate certain descriptive measures and correlations for "IM," "pcGDP,"
and "1TelPer." Here's how:
·Go to the Analyze menu at the top of your SPSS screen.
·Scroll down to "Descriptive Statistics". Notice the arrow at the
right of the words. Hold your cursor still and a drop down list will appear
with several options. Slide your cursor to the right and click once on
"descriptives".
·A box will appear on your screen. On the left you will see your
three variable names. You can select to execute descriptive calculations
on one, two or all of the variables by selecting the variable name. You
select a variable in one of two ways. You can double click the variable
name, which moves it to the right side, or you can highlight a variable
name and move it to the right side by clicking on the arrow between the
two inner boxes. By the way, you can unselect a variable by moving it back
over to the left using the same procedure.
·After you have moved the variables you wish to run descriptives
on to the left side, simply click "OK" to execute the command.
·An output screen will appear showing the results of your calculations.
You can save the output file to disk also by clicking save on the File
menu. Notice the file extension is not the same as the SPSS data set extension.
Students often confuse the steps on saving output and data files.
·You should print your output showing descriptives.
2. Next, we will calculate bivariate correlations for the three
variables.
·Go to Analyze again, choose "Correlate" and then "Bivariate."
Select the variables you wish to correlate and then "OK". If you want,
you can save this output under your descriptives output in one file or
you save them separately.
·Play around with some of the other "Analyze" functions if you like.
Trial and error is a great teacher.
Turn In:
1. A printout of your data set.
2. A printout of descriptive statistics for each of the three
variables.
3. A printout of the bivariate correlations showing all three
variables.