Category:Multivariate Statistics
(Redirected from Multiviariate Analysis)
Within Q, multivariate statistical tools are accessible in four different ways:
- Standard multivariate tools are available in the Create menu (e.g., Correspondence analysis, Latent class analysis, Trees, Regression, Principal Components Analysis, and Cluster analysis.
 - Linear, binary, ordered and multinomial logit models are automatically estimated when creating tables with Ranking and Experiment data.
 - Additional more specialized analyses are available in Automate > Online Library, such Total Unduplicated Reach and Frequency (TURF) and variants of Driver Analysis.
 - Various multivariate models are automatically incorporated into the statistical testing. For example, post hoc testing are available on tables (see Planned ANOVA-Type Tests).
 
Subcategories
This category has the following 5 subcategories, out of 5 total.
Pages in category "Multivariate Statistics"
The following 55 pages are in this category, out of 55 total.
C
- 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)
 - Correspondence Analysis of Square Tables
 
H
- How to Allocate Observations to Segments in Excel
 - How to Analyze Grid Questions in Latent Class Analysis
 - How to Compute Correlations
 - How to do Latent Class Regression
 - How to Perform Driver Analysis With Repeated Measures Data
 - How to Scale Respondents to have a Mean of 0 and a Standard Deviation of 1
 - How to Scale Variables to have a Unit Range
 - How to Show Clusters in a Scatterplot
 
L
M
- Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - MaxDiff Ranking Question from Design and Choice Data
 - Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Preference Share Variables from Individual-Level Parameter Means (All Alternatives)
 - Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Sawtooth-Style Preference Share Variables from Individual-Level Parameter Means (K Alternatives)
 - Marketing - MaxDiff - Analyze with Ranking Question (Legacy) - Zero-Centered Utilities from Individual-Level Parameter Means (All Alternatives)
 - MaxDiff Case Study
 - MaxDiff Specifications
 - Mixed-Mode Cluster Analysis
 - Mixed-Mode Tree
 - Mixture Models for Regression
 - Moon Plot
 - Multidimensional Scaling (MDS)
 - Multinomial Logistic Discriminant Analysis
 - Multiple Correspondence Analysis