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ANOVA Analysis Case study: Students’ Opinion Survey

ANOVA Analysis Case study: Students’ Opinion Survey. Presentation content. Case study description Inserting categorical variable Anova analysis Post-hoc Additional case-study. A. Case study description. Case study description. Students’ opinion research,evaluation of 100 courses

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ANOVA Analysis Case study: Students’ Opinion Survey

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  1. ANOVA AnalysisCase study: Students’ Opinion Survey prof.dr.sc. Ksenija Dumičić

  2. Presentation content • Case study description • Inserting categorical variable • Anova analysis • Post-hoc • Additional case-study prof.dr.sc. Ksenija Dumičić

  3. A. Case study description prof.dr.sc. Ksenija Dumičić

  4. Case study description • Students’ opinion research,evaluation of 100 courses • Survey questionnaire with questions for various characteristics of the course • Gredes on the scale from 1 to 5 ( 1-not, sufficient, very poor ,…., 5- excelent, extraordinary). Six variables are analysed: prof.dr.sc. Ksenija Dumičić

  5. ANOVA analysis • Task: • Test with Anova analysis if there is statically significant difference between the variables (Quality_course, Teaching_skills_professor, Quality_exam, Knowledge_professor, Expected_Grade) according to the size of the student group (Number of enrolled students) • Categorial variable needed!!! • Insert new variable Group_size in which variable No_enrolled into 3 groups: • Lower than 30 students • 30-50 students • More than 50 students prof.dr.sc. Ksenija Dumičić

  6. B. Inserting categorical variable prof.dr.sc. Ksenija Dumičić

  7. Adding new variables prof.dr.sc. Ksenija Dumičić

  8. Recoding the variable- Transform – Recode-Into Different Variables prof.dr.sc. Ksenija Dumičić

  9. Recodingofvariable- Selectingnumbericvariable prof.dr.sc. Ksenija Dumičić

  10. Recoding of variable Selecting output variableOutput variable: Input NameOld and New Values prof.dr.sc. Ksenija Dumičić

  11. First range– Lowerthan 30 students- Range- Value- Add prof.dr.sc. Ksenija Dumičić

  12. Secondrange– 31-50 prof.dr.sc. Ksenija Dumičić

  13. Third range – 51 and higher prof.dr.sc. Ksenija Dumičić

  14. Continue prof.dr.sc. Ksenija Dumičić

  15. Change – OK -OK prof.dr.sc. Ksenija Dumičić

  16. C. ANOVA Analysis prof.dr.sc. Ksenija Dumičić

  17. Comparing means prof.dr.sc. Ksenija Dumičić

  18. Selecting variables prof.dr.sc. Ksenija Dumičić

  19. prof.dr.sc. Ksenija Dumičić

  20. Anova analysis prof.dr.sc. Ksenija Dumičić

  21. Selecting Dependent and Factor Variables prof.dr.sc. Ksenija Dumičić

  22. D. Post-hoc test prof.dr.sc. Ksenija Dumičić

  23. Anova analysis prof.dr.sc. Ksenija Dumičić

  24. Selecting Dependent and Factor Variables prof.dr.sc. Ksenija Dumičić

  25. prof.dr.sc. Ksenija Dumičić

  26. prof.dr.sc. Ksenija Dumičić

  27. prof.dr.sc. Ksenija Dumičić

  28. E. Additional case-study prof.dr.sc. Ksenija Dumičić

  29. 2. ANOVA analysis: Averagenumber of employeesand profit according to threeregion prof.dr.sc. Ksenija Dumičić

  30. Solutions: prof.dr.sc. Ksenija Dumičić

  31. prof.dr.sc. Ksenija Dumičić

  32. Thank you! prof.dr.sc. Ksenija Dumičić

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