**
Random Sampling with SPSS**

Random sampling need not always
be done by hand. Sometimes random sampling may be completed as part of a computer
analysis. SPSS permits us to select a sample and then to determine if it
possesses qualities that indicate that it captures characteristics of the entire sample.
Xcell does not include routines

to complete similar sampling. This exercise
is designed to give you a chance to examine this use of computers to help you secure a
random sample.

As a starting point, we need a data set for analysis.

If you have not already done so, go to the Data
Sets location and
download the file nca.savunder the category, "NCA Study of 'How Americans Communicate.'" If this source no longer is available from the NCA website, then, download the file nca.sav
from the "SPSS Files" category on the "Data Sets" web page. | |

Start your SPSS program. From the "File" menu load
the data file "nca.sav" from the location where the you saved it after downloading. |

**Purpose of the Exercise:**

The purpose of this activity to to complete a random sample of
200 individuals (20% of the total

sample) from the original survey of 1001 Americans.
Then, there will be an effort to see if the sample

is representative of the population on
a key survey and population characteristic.

In the original sample, 52.2% (523) were women and 47.8%
(478) were men. In the original survey,

the variable of respondent sex was identified
by the variable called "sex." This item coded a person as

male (coded as
1) or female (coded as 2).

**Steps in Conducting the Analysis**

The process involves drawing a sample and then running a simple
descriptive output with SPSS. We

will guide you through these steps.

Draw the random sample. To draw a random sample of 200 (20%) at random
fromthe original survey, you need to follow several steps. From the "Data" menu click "Select Cases." From the dialog box that emerges, select "Random sample of cases." For the options "Unselected Cases Are" select "filtered" if it is not already selected. The dialog box should appear as follows: |

Click on "__S__ample..." to
bring up the Sample Size dialog box. Select the "Approximately"

option and insert 20% in the adjacent box
to indicate a random sample of "20% of all

cases." The dialog box should
resemble this one.

Click on "Continue" and "OK" on the subsequent menu box. Now a random sample has

been completed. The unselected cases have not disappeared from the file, but they are

not used in subsequent analyses.

Check for a representative sample. To determine if this sample is representative, a descriptive output should be run for the SEX variable. To do so, click on the"Analyze" menu, and on other menus select "Descriptive Statistics" and then "Frequencies." In the dialog box for "Frequencies," click on "sex" variable that appears in the left window of the dialog box. Transfer this variable to the window marked " Variable(s):" by clicking on the arrow key in the middle of the dialog
box. When youhave completed this process the dialog box should look as follows. |

Click on the "Statistics" button, to open the following dialog box:

Place check marks in the boxes to select "

Mean," "Std. deviation," and "S.E. mean."Click on "Continue," and then click "OK" in the "Frequencies" dialog box.

**Interpret Your Results**

Though researchers may use statistical tools to compute confidence intervals, in this case you may wish to rely on your own judgments of the facts.

Print out your results.

How well did this sample of 200 capture the proportions of the larger sample?

What are the reasons you might wish to use a reduced sample size in research?