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Let's Get Started! Your data set is most likely not going to contain the exact variables I am going to outline in this example, so it will be your role to interpret the variables to resemble your data set.
Our sample data set is a Repeated Measure Quasi-Experiment with each measure being reported on a new row in our data set. The purpose of our study is to determine if our alcohol and other drug "treatment" program has more of an impact than our sister agency who has selected to use the traditional treatment method.
The variables are:
ID (Identification Number of participant)-Numeric Variable
Group (Treatment or Control)-Character Variable
Age (Age of participant)-Numeric
Gender-Character
Ethnicity (Race/Ethnicity of participant)-Character
Education Level-Numeric
Marital Status-Character
Income-Numeric
Number of Children (Children in home)-Numeric
2 Blood Pressure Measures SBP and DBP value-Numeric
Cholesterol-Numeric
Weight-Numeric
Recall Number (The 1st, 2nd, 3rd, & 4th "Test")-Character
Response (Participants Liver Panel Results)-Numeric
Each participant in the program completes all four "tests" so the data set has no mortality. Not very realistic, but useful in this demonstration.
Let's assume our data is entered into an ACCESS database and we do not wish to re-enter all of the information into a SAS spreadsheet. The first step is to Import the data into SAS.
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