The following changes to names in menus have been made in February 2021:
Create > Tables
Previous |
New
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Paste Data |
Paste or Enter Table
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Lots of Crosstabs |
Crosstabs
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Splice Tables |
(removed)
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Create > Banner
Previous |
New
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Code... |
Logic Variable...
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Create > Correlation
Previous |
New
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Distances |
Distance Matrix
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Create > Correlation
Previous |
New
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Distances |
Distance Matrix
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Create > Dimension Reduction
Previous |
New
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Save Variable(s) |
Save Variable(s) > Components/Dimensions
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Diagnostic > Quality |
Diagnostic > Quality Table
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Plot > Component Plot |
Diagnostic > Component Plot
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Plot > Goodness of Fit |
Diagnostic > Goodness of Fit Plot
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Plot > Scree Plot |
Diagnostic > Scree Plot
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Create > Regression
Previous |
New
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Diagnostic > Heteroscedasticity |
Diagnostic > Test Residual Heteroscedasticity
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Diagnostic > Multicollinearity (VIF) |
Diagnostic > Multicollinearity Table (VIF)
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Diagnostic > Normality (Shapiro-Wilk) |
Diagnostic > Test Residual Normality (Shapiro-Wilk)
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Diagnostic > Serial Correlation (Durbin-Watson) |
Diagnostic > Test Residual Serial Correlation (Durbin-Watson)
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Save Variable(s) > Probabilities |
Save Variable(s) > Probabilities of Each Response
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Create > Marketing > MaxDiff
Previous |
New
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Ensemble |
Ensemble of Models
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(Custom Data Files >) Survey Gizmo MaxDiff |
Convert Alchemer (Survey Gizmo) MaxDiff Data for Analysis
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Diagnostic > Class Parameters |
Diagnostic > Class Parameters Table
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Diagnostic > Class Preference Shares |
Diagnostic > Class Preference Shares Table
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Diagnostic > Parameter Statistics |
Diagnostic > Parameter Statistics Table
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Diagnostic > Posterior Intervals |
Diagnostic > Posterior Intervals Plot
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Save Variable(s) > Compute Preference Shares |
Save Variable(s) > Preference Shares
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Save Variable(s) > Compute Sawtooth-Style Preference Shares (K Alternatives) |
Save Variable(s) > Sawtooth-Style Preference Shares (K Alternatives)
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Save Variable(s) > Compute Zero-Centered Utilities |
Save Variable(s) > Zero-Centered Utilities
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Save Variable(s) > Membership |
Save Variable(s) > Class Membership
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Save Variable(s) > Proportion Correct |
Save Variable(s) > Proportion of Correct Predictions
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Save Variable(s) > RLH |
Save Variable(s) > RLH (Root Likelihood)
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Create > Text Analysis
Previous |
New
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Advanced > Create Term Document Matrix |
Advanced > Term Document Matrix
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Automate > Browse Online Library > Choice Modeling
Previous |
New
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Ensemble |
Ensemble of Models
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(Custom Data Files >) Survey Gizmo Conjoint |
Convert Alchemer (Survey Gizmo) Conjoint Data for Analysis
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Diagnostic > Class Parameters |
Diagnostic > Class Parameters Table
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Diagnostic > Parameter Statistics |
Diagnostic > Parameter Statistics Table
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Diagnostic > Posterior Intervals |
Diagnostic > Posterior Intervals Plot
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Diagnostic > Experimental Design > Balances and Overlaps |
Diagnostic > Experimental Design > Balances and Overlaps of Design
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Diagnostic > Experimental Design > Standard Errors |
Diagnostic > Experimental Design > Parameter Standard Errors of Design
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Save Variable(s) > Membership |
Save Variable(s) > Class Membership
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Save Variable(s) > Proportion Correct |
Save Variable(s) > Proportion of Correct Predictions
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Save Variable(s) > RLH |
Save Variable(s) > RLH (Root Likelihood)
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Legacy Choice Modeling > Choice-Based Conjoint (CBC) Setup > JMP |
Analyze with Experiment Question (Legacy) > Experiment Question from JMP Files
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Legacy Choice Modeling > Choice-Based Conjoint (CBC) Setup > Sawtooth CHO Format |
Analyze with Experiment Question (Legacy) > Experiment Question from Sawtooth CHO Files
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Legacy Choice Modeling > Choice-Based Conjoint (CBC) Setup > Sawtooth Dual File Format |
Analyze with Experiment Question (Legacy) > Experiment Question from Sawtooth Dual Format Files
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Legacy Choice Modeling > Compute Importance |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Compute Importance
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Legacy Choice Modeling > Compute Utilities |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Utilities
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Legacy Choice Modeling > Compute Utilities with 0 to 100 Scaling |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Utilities (Min 0, Max 100)
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Legacy Choice Modeling > Compute Within-Attribute Preference Shares (Utilities) |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Within-Attribute Preference Shares
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Legacy Choice Modeling > Compute Zero-Centered Diffs (Utilities) |
Analyze with Experiment Question (Legacy) > Save Variable(s) > Zero-Centered Diffs (Utilities with Mean 0, Mean Range 100)
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Automate > Browse Online Library > Computations
Previous |
New
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Adding Average Columns to Tables Containing Spans |
Add Average Columns to Tables Containing Spans
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Adding Average Rows to Tables Containing Spans |
Add Average Rows to Tables Containing Spans
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Adding Rows to Display the Effective Column n |
Add Rows to Display Effective Column n
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The Average of Each Column |
Average of Each Column
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The Average of Each Row |
Average of Each Row
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The Difference Between a Pair of Columns |
Difference Between Pair of Columns
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The Difference Between a Pair of Rows |
Difference Between Pair of Rows
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The Weighted Average of Each Column |
Weighted Average of Each Column
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Automate > Browse Online Library > Correlation
Previous |
New
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Correlation > Distances |
Correlation > Distance Matrix
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Automate > Browse Online Library > Create New Variables
Previous |
New
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Binary |
Binary Variable(s)
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Combine Several Questions as a Grid |
Combine Variable Sets as a Grid
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Bottom 2 Category Variables (That is, Bottom 2 Boxes) |
Bottom 2 Category Variable(s) (Bottom 2 Boxes)
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Bottom 3 Category Variables (That is, Bottom 3 Boxes) |
Bottom 3 Category Variable(s) (Bottom 3 Boxes)
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Bottom K Category Variables (That is, Bottom K Boxes) |
Bottom K Category Variable(s) (Bottom K Boxes)
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Top 2 Category Variables (That is, Top 2 Boxes) |
Top 2 Category Variable(s) (Top 2 Boxes)
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Top 3 Category Variables (That is, Top 3 Boxes) |
Top 3 Category Variable(s) (Top 3 Boxes)
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Top K Category Variables (That is, Top K Boxes) |
Top K Category Variable(s) (Top K Boxes)
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Create Variables from Merged Categories |
Variable(s) from Merged Categories
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Flatten Variable Set(s) |
Flatten
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Identifying and Removing Outliers |
Variable(s) with Outliers Removed
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Log |
Log Transform Variable(s)
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Midpoint Coding and Quantification |
Numeric Variable(s) from Code/Category Midpoints
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NPS Recoding |
Recode Net Promoter Score (NPS) Variable(s)
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Rebase Multiple Response Data to NET |
Rebase Multiple Response Data in Variable(s) to NET
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Scale Within Case > Center |
Scale Variable(s) > Center Within Case
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Scale Within Case > Rank |
Scale Variable(s) > Ranks Within Case
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Scale Within Case > Standardize |
Scale Variable(s) > Standardize Within Case
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Scale Within Case > Unit |
Scale Variable(s) > Unit Interval Within Case
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Scale Within Variable > Center |
Scale Variable(s) > Center Within Variable
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Scale Within Variable > Rank |
Scale Variable(s) > Ranks Within Variable
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Scale Within Variable > Standardize |
Scale Variable(s) > Standardize Within Variable
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Scale Within Variable > Unit |
Scale Variable(s) > Unit Interval Within Variable
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Square-root |
Square-Root Variable(s)
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Translate |
Translate Text
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Automate > Browse Online Library > Data
Previous |
New
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Geocode IPs |
Countries from IP Addresses (Geocoding)
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Automate > Browse Online Library > Delete Tables and Plots
Previous |
New
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Broken Tables |
Delete If Broken
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If not significant at the 0.001 level (99.9%) |
Delete If Not Significant at the 0.001 Level (99.9%)
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If not significant at the 0.01 level (99%) |
Delete If Not Significant at the 0.01 Level (99%)
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If not significant at the 0.05 level (95%) |
Delete If Not Significant at the 0.05 Level (95%)
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Delete If Not Significant at a Specified Level |
Delete If Not Significant at Specified Level
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Delete If Sample Size Lower Than Specified Value |
Delete If Sample Size Lower Than Specified Value
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Automate > Browse Online Library > Dimension Reduction
Previous |
New
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Save Variable(s) |
Save Variable(s) > Components/Dimensions
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Diagnostic > Quality |
Diagnostic > Quality Table
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Plot > Component Plot |
Diagnostic > Component Plot
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Plot > Goodness of Fit |
Diagnostic > Goodness of Fit Plot
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Plot > Scree Plot |
Diagnostic > Scree Plot
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Automate > Browse Online Library > Filtering
Previous |
New
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Change Filters on Selected Tables |
Change Filter on Selected Tables
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Filter One Question by Another Question |
Filter One Question by Another
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Train-Test Split |
Filters for Train-Test Split
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Train-Validation-Test Split |
Filters for Train-Validation-Test Split
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Automate > Browse Online Library > Hide/Unhide
Previous |
New
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Change Filters on Selected Tables |
Change Filter on Selected Tables
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Train-Test Split |
Filters for Train-Test Split
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Hide |
Hide Questions
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Hide Large Questions |
Hide Questions with Many Categories
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Hide Selected Questions |
Hide Questions from a List
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Unhide All |
Unhide All Hidden Questions
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Unhide Large Questions |
Unhide Questions with Many Categories
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Unhide Selected Questions |
Unhide Questions from a List
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Automate > Browse Online Library > Marketing
Previous |
New
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Legacy TURF (Total Unduplicated Reach and Frequency) |
Legacy TURF Analysis
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Automate > Browse Online Library > Marketing > MaxDiff
Previous |
New
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Ensemble |
Ensemble of Models
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(Custom Data Files >) Survey Gizmo MaxDiff |
Convert Alchemer (Survey Gizmo) MaxDiff Data for Analysis
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Diagnostic > Class Parameters |
Diagnostic > Class Parameters Table
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Diagnostic > Class Preference Shares |
Diagnostic > Class Preference Shares Table
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Diagnostic > Parameter Statistics |
Diagnostic > Parameter Statistics Table
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Diagnostic > Posterior Intervals |
Diagnostic > Posterior Intervals Plot
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Save Variable(s) > Compute Preference Shares |
Save Variable(s) > Preference Shares
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Save Variable(s) > Compute Sawtooth-Style Preference Shares (K Alternatives) |
Save Variable(s) > Sawtooth-Style Preference Shares (K Alternatives)
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Save Variable(s) > Compute Zero-Centered Utilities |
Save Variable(s) > Zero-Centered Utilities
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Save Variable(s) > Membership |
Save Variable(s) > Class Membership
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Save Variable(s) > RLH |
Save Variable(s) > RLH (Root Likelihood)
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Analyze as a Ranking Question > Compute Preference Shares from Individual-Level Parameter Means (All Alternatives) |
Analyze with Ranking Question (Legacy) > Preference Share Variables Computed from Individual-Level Parameter Means (All Alternatives)
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Analyze as a Ranking Question > Compute Sawtooth-Style Preference Shares from Individual-Level Parameter Means (K Alternatives) |
Analyze with Ranking Question (Legacy) > Sawtooth-Style Preference Share Variables Computed from Individual-Level Parameter Means (K Alternatives)
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Analyze as a Ranking Question > Compute Zero-Centered Utilities from Individual-Level Parameter Means (All Alternatives) |
Zero-Centered Utilities Computed from Individual-Level Parameter Means (All Alternatives)
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Analyze as a Ranking Question > MaxDiff Setup from an Experimental Design) |
Analyze with Ranking Question (Legacy) > MaxDiff Ranking Question from Design and Choice Data
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Automate > Browse Online Library > Missing Data
Previous |
New
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Save Variable(s) > Complete Cases |
Save Variable(s) > Filter of Complete Cases
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Automate > Browse Online Library > Modifying Cell Content
Menu renamed to Modify Cell Content.
Previous |
New
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Adding Text to Cells with Large Numbers |
Add Text to Cells with Large Numbers
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Blanking Cells with Small Sample Sizes |
Blank Cells with Small Sample Sizes
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Blanking Cells with Small Values |
Blank Cells with Small Values
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Changing the Color of Cells with Small Sample Sizes |
Change Color of Cells with Small Sample Sizes
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Changing the Missing Data (NaN) Symbol |
Change Missing Data (NaN) Symbol
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Color > Color Selected Rows or Columns |
Color Selected Rows or Columns
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Color - Shade Rows or Columns |
Shade Alternate Rows or Columns
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Color - Shade Spans |
Shade Alternate Spans
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Highlighting Cells Above and Below NET |
Highlight Cells Above and Below NET
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Shading NET Rows and Columns |
Shade NET Rows and Columns
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Automate > Browse Online Library > Modifying Data
Menu renamed to Modify Data.
Previous |
New
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Apply Custom Merges to Scales |
Merge Scales (Custom)
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Create New Bottom K Category NETs (That is, Bottom K Boxes) |
New Bottom K Category NETs (Bottom K Boxes)
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Create New Top K Category NETs (That is, Top K Boxes) |
New Top K Category NETs (Top K Boxes)
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Merge Categories Less Than or Equal To 0.5% |
Merge Categories of Size 0.5% or Less
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Merge Categories Less Than or Equal To 1% |
Merge Categories of Size 1% or Less
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Merge Categories Less Than or Equal To 2% |
Merge Categories of Size 2% or Less
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Merge Categories Less Than or Equal To 3% |
Merge Categories of Size 3% or Less
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Merge Categories Less Than or Equal To 4% |
Merge Categories of Size 4% or Less
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Merge Categories Less Than or Equal To 5% |
Merge Categories of Size 5% or Less
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Move the NET to the Top for all Questions |
Move NET to the Top for All Questions
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Menu renamed to Modify Footers.
Previous |
New
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Adding a Column Header Footnote Indicating Small Sample Sizes |
Add Column Header Footnote Indicating Small Sample Sizes
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Adding a Footer Showing the Smallest Sample Size on the Table |
Add Footer Showing Smallest Sample Size on Table
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Adding a Footnote to Cells with Small Sample Sizes |
Add Footnote for Cells with Small Sample Sizes
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Adding Column Base Sizes |
Add Column Base Sizes
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Menu renamed to Modify Headers.
Previous |
New
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Adding Column Names to the Column Labels |
Add Column Names to Column Labels
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Adding Sample Size to the Column Labels |
Add Sample Size to Column Labels
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Automatically Removing NET From a Table |
Automatically Remove NETs from Table
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Automatically Removing The NET Column |
Automatically Remove NET Column
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Automatically Removing The NET Row |
Automatically Remove NET Row
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Automate > Browse Online Library > Modifying Labels
Menu renamed to Modify Labels.
Previous |
New
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Other Specify Categories as Other |
Relabel Other/Specify Categories as Other
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Automate > Browse Online Library > Modifying Tables or Plots
Menu renamed to Modify Tables or Plots.
Previous |
New
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Number all of the Tables in the Project |
Number All Tables in Project
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Replacing One Question with Another in All Selected Tables and Plots |
Replace Question in All Selected Tables and Plots
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Update Table Page Names and Titles |
Rename Table Page Names and Titles with Table Name
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Ignore Missing Values In Column n In Statistics Below |
Ignore Missing Values in Column n in Statistics Below
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Show Maximum Column n In Statistics Below |
Show Maximum Column n in Statistics Below
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Automate > Browse Online Library > Modifying the Whole Table or Plot
Menu renamed to Modify the Whole Table or Plot.
Previous |
New
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Avoid Showing Outputs With Small Sample Sizes |
Avoid Showing Outputs with Small Sample Sizes
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Creating Rolling Averages |
Replace with Rolling Averages
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Showing A Range Of Rows |
Show a Range of Rows
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Showing Only the Top k and Specified Rows |
Show Only Top K and Specified Rows
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Showing Only the Top k Rows (e.g., top 5 rows) |
Show Only Top K Rows (e.g., Top 5 Rows)
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Show Each Statistic in a Separate Column |
Show Each Statistic in Separate Column
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Unnest a Nested Banner on a Table |
Unnest Nested Banner on Table
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Automate > Browse Online Library > Move Data
Previous |
New
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Move Variables to a New Position |
Move Variables to New Position
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Automate > Browse Online Library > Multivariate
Previous |
New
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All Combinations of Pick Any Categories |
Table of All Combinations of Pick Any Categories
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Automate > Browse Online Library > Plot/Chart
Previous |
New
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Automatically Color Rows or Bars of Plots (and Tables) |
Color Rows of Tables or Bars of Plots
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Automate > Browse Online Library > Preliminary Project Setup
Previous |
New
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Checking for Errors in Data File Construction |
Check for Errors in Data File Construction
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Create Tables for Data Checking |
Tables for Data Checking
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Reverse Scales |
Reverse Scales in Questions
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Automate > Browse Online Library > Quality Assurance
Previous |
New
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Auditing a Project |
Audit This Project
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Automate > Browse Online Library > Quality Assurance
Previous |
New
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Auditing a Project |
Audit This Project
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Automate > Browse Online Library > Recoding
Menu renamed to Recode.
Previous |
New
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Midpoint Coding and Quantification |
Recode Variable(s) Using Code/Category Midpoints
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Recoding Higher Values (Capping) |
Recode High Values (Capping) in Numeric Variable(s)
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Recoding Lower Values (Capping) |
Recode Low Values (Capping) in Numeric Variable(s)
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Setting Higher Values to Missing |
Set High Values to Missing in Numeric Variable(s)
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Setting Lower Values to Missing |
Set Low Values to Missing in Numeric Variable(s)
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Setting the Value of Don't Knows to NaN |
Set Value of Don't Knows to NaN
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Automate > Browse Online Library > Regression
Previous |
New
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Diagnostic > Heteroscedasticity |
Diagnostic > Test Residual Heteroscedasticity
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Diagnostic > Multicollinearity (VIF) |
Diagnostic > Multicollinearity Table (VIF)
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Diagnostic > Normality (Shapiro-Wilk) |
Diagnostic > Test Residual Normality (Shapiro-Wilk)
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Diagnostic > Serial Correlation (Durbin-Watson) |
Diagnostic > Test Residual Serial Correlation (Durbin-Watson)
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Save Variable(s) > Probabilities |
Save Variable(s) > Probabilities of Each Response
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Driver (Importance) Analysis > Beta |
Legacy Driver Analysis > Table of Beta Scores
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Driver (Importance) Analysis > Contribution |
Legacy Driver Analysis > Table of Contribution Scores
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Driver (Importance) Analysis > Elasticity |
Legacy Driver Analysis > Table of Elasticity Scores
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Driver (Importance) Analysis > Kruskal Importance |
Legacy Driver Analysis > Table of Kruskal Importance Scores
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Driver (Importance) Analysis > Linear Regression Coefficients |
Legacy Driver Analysis > Table of Linear Regression Coefficients
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Driver (Importance) Analysis > Relative Importance Analysis |
Legacy Driver Analysis > Table of Relative Weights (Relative Importance Analysis)
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Driver (Importance) Analysis > Shapley Importance |
Legacy Driver Analysis > Table of Shapley Importance Scores
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Automate > Browse Online Library > Segments
Menu renamed to Cluster.
Previous |
New
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Save Variable(s) > Membership |
Save Variable(s) > Cluster Membership
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Automate > Browse Online Library > Significance Testing
Menu renamed to Significance Testing in Tables.
Previous |
New
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Identify Interesting Tables |
Table of Interesting Tables
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Compute Column Comparisons on Grids with Lots of Missing Data |
Column Comparisons on Grids with Lots of Missing Data
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Color Comparisons with a Specific Column |
Color Comparisons with Specific Column
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Automate > Browse Online Library > Sorting and Reordering
Menu renamed to Sort/Reorder Rows or Columns.
Previous |
New
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Sort from Highest to Lowest (Does Not Update When Data Changes) |
Sort Categories from Highest to Lowest (Does Not Update When Data Changes)
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Making One Column Appear After Another |
Make One Column Appear After Another
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Making One Row Appear After Another |
Make One Row Appear After Another
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Sort Rows (Automatically Updates when Data Changes) |
Sort Rows (Automatically Updates When Data Changes)
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Move the NET Row to the Top |
Move NET Row to the Top
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Automate > Browse Online Library > Tables
Previous |
New
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Creating Tables Showing Don't Knows |
Tables Showing Don't Knows
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Lots of Crosstabs |
Crosstabs
|
Splice Tables |
(removed)
|
Automate > Browse Online Library > Text Analysis > Advanced
Previous |
New
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Create Term Document Matrix |
Term Document Matrix
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Automate > Browse Online Library > TURF
Previous |
New
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Total Unduplicated Reach and Frequency |
TURF Analysis
|
(absent) |
Legacy TURF Analysis
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Automate > Browse Online Library > Visualization
Previous |
New
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Create Template |
Template
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Automate > Browse Online Library > Weighting
Previous |
New
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Create Plots with Different Weights for Each Time Period |
Plots with Weights for Each Time Period
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Create Tables with Different Weights for Each Time Period |
Tables with Weights for Each Time Period
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Make Merged Categories Available for Weighting |
Save Question with Merged Categories for Weighting
|
Apply a Weight to a Column |
Apply Weight to Column
|
Apply a Weight to a Column Span |
Apply Weight to Column Span
|