Pages with the most categories

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

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)