1. MGTO 324 Workshop 3: SPSS Data Management

2. Activity 1 Collect the following information from any 40 “subjects” Age Estimate it if you cannot access the data Gender Height (1 “very short” to 7 “very high”) Weight (1 “very light” to 7 “very heavy”) Physical attractiveness (1 “not attractive” to 7 “very attractive”) Shoes’ major color

3. SPSS data management Rule of thumb One row for one “subject” One column for one “variable” At least give one column to identify the “subject ID” How many variables do we have?

4. SPSS data management Essential steps Defining and labeling variables Give a good name for each variable Defining the nature of the variables Continuous, ordinal, or categorical (Nominal) Assigning and labeling values for categorical variables Missing values

5. SPSS data management Basic statistics Descriptive statistics Mean, Frequency Correlation Mean Comparison

6. SPSS data management Basic statistics Descriptive statistics Mean, Frequency

7. SPSS data management Basic statistics Descriptive statistics Mean, Frequency

8. SPSS data management Basic statistics Correlation The marketing manager of Oliver’s super sandwiches in Hong Kong collected 100 comment cards which were voluntarily completed by customers. Questions on the comment cards include Menu Variety, Taste, Value for Money, Atmosphere, and Revisit. He wanted to see if these questions were associated with each other.

9. SPSS data management Basic statistics Correlation

10. SPSS data management Basic statistics Mean comparison

11. SPSS data management Basic statistics Mean comparison

12. SPSS data management In class exercise Based on your collected data, write a brief report telling me the following Mean and SD of age of the subjects % of Male and Female subjects Correlations (Pearson r) between Height and weight; PA and Height; PA and Weight t test (use independent t test) examining gender difference in Height, weight, and PA Copy and paste your SPSS outputs to a word document, then submit the hard copy to me