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- %
- % Column Responses
- % Column Share
- % Row Responses
- % Row Share
- % Share
- % Total Responses
- % Total Share
- 95th Percentile
- ANOVA-Based Column Comparison
- ANOVA-Type Test
- ANOVA-Type Tests
- ANOVA-Type Tests - Comparing Three or More Groups
- API
- A Brief History of Q
- A Short Evaluation
- Abbreviate Month Labels for a Date/Time Question
- Access All Data Rows
- Access all data rows (advanced)
- Access and Excel file databases
- Accessing Common Distributions When Writing JavaScript in Q
- Ad Hoc Audits of Tables, Variables and Questions
- AddStatisticsToTableIfPossible
- AddStatisticsToTablesInGroupIfPossible
- AddTableJavaScriptToTablesInGroup
- Add Empty Categories to a Question
- Add Table Statistic To Row Labels
- Adding Column Names to the Column Labels
- Adding Column Spans
- Adding Data Files
- Adding Extra Variables to a Project
- Adding Images and Formatted Text to a Header, Footer, or Cover Page
- Adding Row Spans
- Adding Sample Size to the Column Labels
- Adding Users to a Transferable License
- Adding a Column Header Footnote Indicating Small Sample Sizes
- Adding a Footnote to Cells with Small Sample Sizes
- Adding an Exclamation Mark to Cells with Large Numbers
- Adding an Image
- Advanced Data Tidying
- Advanced Find/Replace
- Alternatives To Banners
- Analysis of Variance - ANOVA
- Analysis of Variance - One-Way ANOVA
- Analysis of Variance - One-Way MANOVA
- Analysis of Variance - Table of Means
- Analyzing Sales Data
- Anchored Max-Diff
- Anchored MaxDiff
- Appearance Template
- Applying Different Weights to Columns
- Applying a Segmentation to New Data
- Array
- ArrayHasDuplicateElements
- ArraySum
- Arrays
- Arrows
- AsNumber
- AsNumbers
- Auditing Advanced Analyses
- Auditing a Project
- AutoRecover
- Auto Recover
- Auto Save
- Automate
- Automate menu
- Automate or Die (webinar)
- Automatic Updating
- Automatic Updating of PowerPoint Documents - Default (Q5.12+)
- Automatic Updating of PowerPoint and Excel Documents
- Automatically Adding a Statistic to a Table
- Automatically Applying Filters to Some Categories in a Banner
- Automatically Applying Weights to Some Categories in a Banner
- Automatically Change Row or Column Labels
- Automatically Export to Excel
- Automatically Grouping Variables
- Automatically Including Weights, Filters and Dates in Headings
- Automatically Merging Categories And Creating NETs
- Automatically Merging Categories and Creating NETs
- Automatically Recoding Mid-Points
- Automatically Recoding Midpoints
- Automatically Removing NET From a Table
- Automatically Updating R DataSets, Variables, and Outputs
- Automating MaxDiff Setup using QScript
- Automating Reporting
- Average
- Backtick
- Banner
- Banners
- Bartlett's Approximation to Wilk's Lambda
- Bartlett's Chi-square for Canonical Correlation
- Bartlett's Correction to Wilk's Lambda for MANOVA
- Base
- Base Population
- Base n
- Basic Tables
- Basic Training
- Basic Work Flow For Checking and Cleaning a Project
- Basic Workflow For Checking and Cleaning a Project
- Benefits of Performing Data Cleaning in Q
- Beta Release of Q
- Binary Logit
- Binary Variable
- Binary Variables
- Binary variables
- Binay - Complicated Filter
- Blanking Cells With Small Sample Sizes
- Blue
- Blue Drop-Down menu
- Blue Drop-down Menu
- Blue Drop-down menu
- Blue and Brown Drop-down Menus
- Blue drop-down
- Blue drop-down menu
- Blue or Brown Drop-down Menus
- Bonferroni Correction
- Brand Price Trade-Off Experiment
- Brown
- Brown Drop-down Menu
- Brown drop-down menu
- CART
- CHAID
- CHAID Options, Settings and Details
- CHAID Options Settings and Details
- CSV Data File Specifications
- Calculate - First
- Calculate - Last
- Calculate - Sum
- Calculate - Sum Each Column
- Calculate - Sum Each Row
- Calculate - Sum for each column
- Calculate - Sum for each row
- Calculate Confidence Intervals for Crosstabs with Categorical Questions
- Calculate Confidence Intervals for Crosstabs with Numeric Questions
- Calculate Grouped Medians
- Calculate Index for Grid Questions
- Calculate Standard Errors for Crosstabs with Numeric Questions
- Calculation - Any of - Any of
- Calculation - Any of - Any of Each Column
- Calculation - Any of - Any of Each Row
- Calculation - Any of - Table(s)
- Calculation - Any of Each Column - Table(s)
- Calculation - Any of Each Row - Table(s)
- Calculation - Average
- Calculation - Average - Average
- Calculation - Average - Average Each Column
- Calculation - Average - Average Each Row
- Calculation - Average - Table(s)
- Calculation - Average Each Column
- Calculation - Average Each Column - Table(s)
- Calculation - Average Each Row
- Calculation - Average Each Row - Table(s)
- Calculation - Count - Count
- Calculation - Count - Count Each Column
- Calculation - Count - Count Each Row
- Calculation - Count - Table(s)
- Calculation - Count Each Column - Table(s)
- Calculation - Count Each Row - Table(s)
- Calculation - Divide
- Calculation - Divide - Table(s)
- Calculation - First
- Calculation - Last
- Calculation - Maximum - Maximum
- Calculation - Maximum - Maximum Each Column
- Calculation - Maximum - Maximum Each Row
- Calculation - Maximum - Table(s)
- Calculation - Maximum Each Column - Table(s)
- Calculation - Maximum Each Row - Table(s)
- Calculation - Minimum - Minimum
- Calculation - Minimum - Minimum Each Column
- Calculation - Minimum - Minimum Each Row
- Calculation - Minimum - Table(s)
- Calculation - Minimum Each Column - Table(s)
- Calculation - Minimum Each Row - Table(s)
- Calculation - Multiply
- Calculation - Multiply - Table(s)
- Calculation - None of - None of
- Calculation - None of - None of Each Column
- Calculation - None of - None of Each Row
- Calculation - None of - Table(s)
- Calculation - None of Each Column - Table(s)
- Calculation - None of Each Row - Table(s)
- Calculation - Standard Deviation - Standard Deviation
- Calculation - Standard Deviation - Standard Deviation Each Column
- Calculation - Standard Deviation - Standard Deviation Each Row
- Calculation - Standard Deviation - Table(s)
- Calculation - Standard Deviation Each Column - Table(s)
- Calculation - Standard Deviation Each Row - Table(s)
- Calculation - Subtract
- Calculation - Subtract - Table(s)
- Calculation - Sum
- Calculation - SumForEachColumn
- Calculation - SumForEachRow
- Calculation - Sum - Sum
- Calculation - Sum - Sum Each Column
- Calculation - Sum - Sum Each Row
- Calculation - Sum - Table(s)
- Calculation - Sum Each Column
- Calculation - Sum Each Column - Table(s)
- Calculation - Sum Each Column Standard R
- Calculation - Sum Each Row
- Calculation - Sum Each Row - Table(s)
- Calculation - Sum Standard R
- Calculation - Sum for each column
- Calculation - Sum for each column (Standard R)
- Calculation - Sum for each column Standard R
- Calculation - Sum for each row
- Calculation - Sum for each row (Standard R)
- Calculation - Sum for each row Standard R
- Calculation - Variance - Table(s)
- Calculation - Variance - Variance
- Calculation - Variance - Variance Each Column
- Calculation - Variance - Variance Each Row
- Calculation - Variance Each Column - Table(s)
- Calculation - Variance Each Row - Table(s)
- Calibrated Weight
- Cannot Create NET On Pick One - Multi
- Cannot Export to Excel, Word or PowerPoint (A Bug Catcher Window Appears)
- Case
- Categorical
- Categorical Question
- Categorical Questions
- Categorical Variable
- Categorical Variables
- Categories Do Not Merge When Values Are Recoded
- Caveats for Table JavaScript
- Cell Comparisons
- Cell comparisons
- Change row or column labels by name
- Changes to JavaScript if
- Changes to the Menus in Q5
- Changing Domain Name
- Changing Question Type
- Changing Statistics Shown on Table
- Changing Table Name to Include Category Name With Lowest p-Value (Highest Confidence)
- Changing a Computer's Details on the Customer Page
- Changing how the Index is Calculated
- Changing the Color of Cells With Small Sample Sizes
- Changing the Missing Data (NaN) Symbol
- Changing the Order of Rows
- Changing the Order of Rows or Columns for All Tables that Share the Same Code Frame
- Chart Templates
- Chart Types
- Charts
- CheckQObjectArrayType
- CheckQuestionType
- Checking, Cleaning and Setting Up a Project
- Checking ID Variable
- Checking for Invalid Data
- Checking for New Versions of Q (Updating Q)
- Checking the Number of Selections in Questions
- Checking to See if a Data File Has Been Imported
- Chi-Square Test for Compatibility of K Counts
- Chi-Square Test of a Frequency Distribution
- Choice Modeling -Analyze with Experiment Question (Legacy) - Save Variable(s) - Within-Attribute Preference Shares
- Choice Modeling - Analyze with Experiment Question (Legacy) - Experiment Question from JMP Files
- Choice Modeling - Analyze with Experiment Question (Legacy) - Experiment Question from Sawtooth CHO File
- Choice Modeling - Analyze with Experiment Question (Legacy) - Experiment Question from Sawtooth CHO Files
- Choice Modeling - Analyze with Experiment Question (Legacy) - Experiment Question from Sawtooth Dual Format Files
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Attribute Importance
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Utilities
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Utilities (Min 0, Max 100)
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Within-Attribute Preference Shares
- Choice Modeling - Analyze with Experiment Question (Legacy) - Save Variable(s) - Zero-Centered Diffs (Utilities with Mean 0, Mean Range 100)
- Choice Modeling - Class Parameters Table
- Choice Modeling - Class Preference Shares Table
- Choice Modeling - Compare Models
- Choice Modeling - Convert Alchemer (Survey Gizmo) Conjoint Data for Analysis
- Choice Modeling - Diagnostic - Class Parameters Table
- Choice Modeling - Diagnostic - Class Parameters Table extension
- Choice Modeling - Diagnostic - Class Parameters extension
- Choice Modeling - Diagnostic - Experimental Design - Balances and Overlaps extension
- Choice Modeling - Diagnostic - Experimental Design - Balances and Overlaps of Design
- Choice Modeling - Diagnostic - Experimental Design - Balances and Overlaps of Design extension
- Choice Modeling - Diagnostic - Experimental Design - Numeric Design
- Choice Modeling - Diagnostic - Experimental Design - Numeric Design extension
- Choice Modeling - Diagnostic - Experimental Design - Parameter Standard Errors of Design
- Choice Modeling - Diagnostic - Experimental Design - Parameter Standard Errors of Design extension
- Choice Modeling - Diagnostic - Experimental Design - Preview Choice Questionnaire extension
- Choice Modeling - Diagnostic - Experimental Design - Standard Errors
- Choice Modeling - Diagnostic - Experimental Design - Standard Errors extension
- Choice Modeling - Diagnostic - Parameter Statistics
- Choice Modeling - Diagnostic - Parameter Statistics Table
- Choice Modeling - Diagnostic - Parameter Statistics Table extension
- Choice Modeling - Diagnostic - Parameter Statistics extension
- Choice Modeling - Diagnostic - Posterior Intervals
- Choice Modeling - Diagnostic - Posterior Intervals Plot
- Choice Modeling - Diagnostic - Posterior Intervals Plot extension
- Choice Modeling - Diagnostic - Posterior Intervals extension
- Choice Modeling - Diagnostic - Trace Plots
- Choice Modeling - Diagnostic - Trace Plots extension
- Choice Modeling - Ensemble of Models
- Choice Modeling - Experimental Design
- Choice Modeling - Export Design To Qualtrics
- Choice Modeling - Hierarchical Bayes
- Choice Modeling - Latent Class Analysis
- Choice Modeling - Multinomial Logit
- Choice Modeling - Optimizer
- Choice Modeling - Optimizer EXPERIMENTAL
- Choice Modeling - Parameter Statistics Table
- Choice Modeling - Partworths Plot
- Choice Modeling - Posterior Intervals Plot
- Choice Modeling - Preview Choice Questionnaire
- Choice Modeling - Save Variable(s) - Class Membership
- Choice Modeling - Save Variable(s) - Class Membership Probabilities
- Choice Modeling - Save Variable(s) - Individual-Level Coefficients
- Choice Modeling - Save Variable(s) - Individual-level Coefficients
- Choice Modeling - Save Variable(s) - Membership
- Choice Modeling - Save Variable(s) - Proportion Correct
- Choice Modeling - Save Variable(s) - Proportion of Correct Predictions
- Choice Modeling - Save Variable(s) - RLH
- Choice Modeling - Save Variable(s) - RLH (Root Likelihood)
- Choice Modeling - Save Variable(s) - Utilities (Mean 0)
- Choice Modeling - Save Variable(s) - Utilities (Mean 0, Max Range 100)
- Choice Modeling - Save Variable(s) - Utilities (Mean 0, Max range 100)
- Choice Modeling - Save Variable(s) - Utilities (Mean 0, Mean Range 100)
- Choice Modeling - Save Variable(s) - Utilities (Mean 0, Mean range 100)
- Choice Modeling - Save Variable(s) - Utilities (Min 0)
- Choice Modeling - Save Variable(s) - Utilities (Min 0, Max Range 100)
- Choice Modeling - Save Variable(s) - Utilities (Min 0, Max range 100)
- Choice Modeling - Save Variable(s) - Utilities (Min 0, Mean Range 100)
- Choice Modeling - Save Variable(s) - Utilities (Min 0, Mean range 100)
- Choice Modeling - Simulator
- Choice Modeling - Simulator - 2 Alternatives
- Choice Modeling - Simulator - 3 Alternatives
- Choice Modeling - Simulator - 4 Alternatives
- Choice Modeling - Simulator - 5 Alternatives
- Choice Modeling - Simulator - 6 Alternatives
- Choice Modeling - Simulator EXPERIMENTAL
- Choice Modeling - Testing - Testing - DRN
- Choice Modeling - Trace Plot
- Choice Modeling - Trace Plots
- Choice Modeling - Utilities Plot
- Choice Modeling - Utilities Plot Extension
- Choice Modeling Videos
- Classification Trees
- Cleaning Text for Analysis
- Clear Rules
- Cluster Analysis
- Cluster analysis
- Cochran's Q
- Cochran Q
- Code
- Coding
- Coding Text Variables