Pages with the most categories

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Showing below up to 50 results in range #1 to #50.

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  1. Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - MaxDiff Ranking Question from Design and Choice Data‏‎ (8 categories)
  2. Create New Variables - Binary Variable(s)‏‎ (7 categories)
  3. Create New Variables - Bottom 2 Category Variable(s) (Bottom 2 Boxes)‏‎ (7 categories)
  4. Create New Variables - Bottom 3 Category Variable(s) (Bottom 3 Boxes)‏‎ (7 categories)
  5. Create New Variables - Case-Level Shares‏‎ (7 categories)
  6. Create New Variables - Log Transform Variable(s)‏‎ (7 categories)
  7. Create New Variables - Numeric Variable(s) from Code/Category Midpoints‏‎ (7 categories)
  8. Create New Variables - Rebase Multiple Response Data in Variable(s) to NET‏‎ (7 categories)
  9. Create New Variables - Scale Variable(s) - Center Within Case‏‎ (7 categories)
  10. Create New Variables - Scale Variable(s) - Center Within Variable‏‎ (7 categories)
  11. Create New Variables - Scale Variable(s) - Ranks Within Case‏‎ (7 categories)
  12. Create New Variables - Scale Variable(s) - Ranks Within Variable‏‎ (7 categories)
  13. Create New Variables - Scale Variable(s) - Standardize Within Case‏‎ (7 categories)
  14. Create New Variables - Scale Variable(s) - Standardize Within Variable‏‎ (7 categories)
  15. Create New Variables - Scale Variable(s) - Unit Interval Within Case‏‎ (7 categories)
  16. Create New Variables - Scale Variable(s) - Unit Interval Within Variable‏‎ (7 categories)
  17. Create New Variables - Square-Root Variable(s)‏‎ (7 categories)
  18. Create New Variables - Top 2 Category Variable(s) (Top 2 Boxes)‏‎ (7 categories)
  19. Create New Variables - Top 3 Category Variable(s) (Top 3 Boxes)‏‎ (7 categories)
  20. Create New Variables - Variable(s) with Outliers Removed‏‎ (7 categories)
  21. Preliminary Project Setup - Check for Errors in Data File Construction‏‎ (7 categories)
  22. Preliminary Project Setup - Tables for Data Checking‏‎ (7 categories)
  23. Regression - Save Variable(s) - Fitted Values‏‎ (7 categories)
  24. Regression - Save Variable(s) - Predicted Values‏‎ (7 categories)
  25. Regression - Save Variable(s) - Probabilities of Each Response‏‎ (7 categories)
  26. Regression - Save Variable(s) - Propensity Weight‏‎ (7 categories)
  27. Regression - Save Variable(s) - Residuals‏‎ (7 categories)
  28. Tables - Raw Data - Question‏‎ (7 categories)
  29. Text Analysis - Advanced - Save Variable(s) - Tidied Text‏‎ (7 categories)
  30. Text Analysis - Save Variable(s) - Categories‏‎ (7 categories)
  31. Text Analysis - Save Variable(s) - First Category‏‎ (7 categories)
  32. Create New Variables - Bottom K Category Variable(s) (Bottom K Boxes)‏‎ (6 categories)
  33. Create New Variables - Combine Questions as a Grid‏‎ (6 categories)
  34. Create New Variables - Recode Net Promoter Score (NPS) Variable(s)‏‎ (6 categories)
  35. Create New Variables - Split Grid by Columns‏‎ (6 categories)
  36. Create New Variables - Split Grid by Rows‏‎ (6 categories)
  37. Create New Variables - Top K Category Variable(s) (Top K Boxes)‏‎ (6 categories)
  38. Create New Variables - Translate Text‏‎ (6 categories)
  39. Machine Learning - Save Variable(s) - Discriminant Variables‏‎ (6 categories)
  40. Machine Learning - Save Variable(s) - Predicted Values‏‎ (6 categories)
  41. Machine Learning - Save Variable(s) - Probabilities of Each Response‏‎ (6 categories)
  42. Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Preference Share Variables from Individual-Level Parameter Means (All Alternatives)‏‎ (6 categories)
  43. Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Sawtooth-Style Preference Share Variables from Individual-Level Parameter Means (K Alternatives)‏‎ (6 categories)
  44. Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Zero-Centered Utilities from Individual-Level Parameter Means (All Alternatives)‏‎ (6 categories)
  45. Preliminary Project Setup - Identify Questions with Straight-Lining/Flat-Lining‏‎ (6 categories)
  46. Preliminary Project Setup - Summary Plots‏‎ (6 categories)
  47. Regression - Diagnostic - Multicollinearity Table (VIF)‏‎ (6 categories)
  48. Regression - Diagnostic - Plot - Cook's Distance‏‎ (6 categories)
  49. Regression - Diagnostic - Plot - Cook's Distance vs Leverage‏‎ (6 categories)
  50. Regression - Diagnostic - Plot - Goodness of Fit‏‎ (6 categories)

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