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SPSS Data Management: Collection and Analysis of Subject Information

This workshop introduces participants to SPSS data management techniques. It covers the collection of subject information, defining and labeling variables, basic statistics, mean comparison, and correlation analysis. Participants will also practice conducting t-tests and generating SPSS outputs for a brief report.

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SPSS Data Management: Collection and Analysis of Subject Information

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  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

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