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Welcome to MARK5811

Welcome to MARK5811

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Welcome to MARK5811

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  1. Welcome to MARK5811 Tutorial 1

  2. Accessing computers Username: Student number Password: zPass

  3. William Neill • PhD in Marketing at UNSW • Bachelor of Commerce (marketing), NZ • Bachelor of Arts (Film & Theatre), NZ • An ‘all-rounder’ Contact Details Consultation: Thursday 12-12:30pm Email: william.neill@unsw.edu.au Phone: 02 9385 3813

  4. Tutorial expectations • Attendance – at least 80% • Cooperation • Use computers just for SPSS • No mobile phones • Don't disturb the class • Small class & interactive • I like questions • I am happy to explain it three times if necessary

  5. Assessments • 2 Assessments in Tutorials • Worth 5% each Assessment 1 Due in Tutorial Sept 2nd Assessment 2 Due in Tutorial Sept 16th

  6. 3 types of measures Discrete • Nominal (gender, nationality etc.) • Ordinal (low – medium – high) Continuous • Scale or Interval (income, temperature etc.) 1 2 3

  7. Normality Applies to Continuous (scale or interval) variables, and sometimes to ordinal variables.

  8. Skewness & Kurtosis • Skewness: • negative= tail to the left • Positive = tail to the right • -1 <> 1 • Kurtosis: • Platykurtic= flat (low value) • Leptokurtic = peaked (high value) • -2 <> 2

  9. SPSS Views • Data view: each row a new respondent • Variable view: each row a new variable • Important columns: values & measure • Output Window: separate window with output

  10. Now we proceed with the exercise Please refer to Individual Exercise 1: Working With, Summarising and Displaying Data Page 1 -2

  11. Measurement Instrument What type of measures are used? How should responses be presented in a data file?

  12. Create a data file • Open IBM SPSS Statistics • Create a new data file • File > New > Data • Go to Variables View • Define variables • name | type | label | values | measure • First variable should be participant ID

  13. Exercises for Today.. • Question 1 Chapters to read for next week • Chapter 2: Working with Data • Chapter 17: SPSS Syntax (optional)

  14. See you next week Thanks!