Analyzing missing data презентация
Содержание
- 2. Missing data and data analysis Missing data is a problem in
- 3. Tools for evaluating missing data SPSS has a specific package for
- 4. Key issues in missing data analysis We will focus on three
- 5. Problem 1 1. Based on a missing data analysis for the
- 6. Identifying the number of cases in the data set
- 7. Request frequency distributions
- 8. Completing the specification for frequencies
- 9. Number of missing cases for each variable
- 10. Problem 2 2. Based on a missing data analysis for the
- 11. Create a variable that counts missing data
- 12. Enter specifications for new variable
- 13. Enter specifications for new variable
- 14. Enter specifications for new variable
- 15. Complete specifications for new variable
- 16. The nmiss variable in the data editor
- 17. A frequency distribution for nmiss
- 18. Completing the specification for frequencies
- 19. The frequency distribution
- 20. Answering the problem
- 21. Problem 3 3. Based on a missing data analysis for the
- 22. Compute valid/missing dichotomous variables
- 23. Enter specifications for new variable
- 24. Enter specifications for new variable
- 25. Enter specifications for new variable
- 26. Change the value for missing data
- 27. Change the value for valid data
- 28. Complete the value specifications
- 29. Complete the recode specifications
- 30. The dichotomous variable
- 31. Filtering cases with excessive missing variables
- 32. Enter specifications for selecting cases
- 33. Enter specifications for selecting cases
- 34. Complete the specifications for selecting cases
- 35. Cases excluded from further analyses
- 36. Correlating the dichotomous variables
- 37. Specifications for correlations
- 38. The correlation matrix
- 39. The correlation matrix
- 40. The correlation matrix
- 41. Using scripts The process of evaluating missing data requires numerous SPSS
- 42. Using a script for missing data The script “MissingDataCheck.sbs” will produce
- 43. Open the data set in SPSS
- 44. Invoke the script
- 45. Select the missing data script
- 46. The script dialog
- 47. Complete the specifications
- 48. The script finishes
- 49. Output from the script
- 50. Скачать презентацию
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