This article describes how any outputs saved within Q from advanced analyses can be audited to review how they were created and identify any issues.

## Requirements

A Q analysis using advanced methods. The following methods are referenced in the following section:

- MaxDiff
- Choice Modeling
- Latent Class Analysis
- Trees
- Cluster Analysis
- Principal Component Analysis
- Multiple Correspondence Analysis

## Method

### Segments (latent class analysis and trees)

The settings used to create a Latent Class Analysis or Trees can be accessed by right-clicking on any node and selecting **Edit**, which identifies the settings used to split the node into sub-segments (most commonly, the same settings are used in all nodes, so there is only a need to right-click on the top node).

The statistical outputs generated when growing the tree are accessed by right-clicking on a segment (i.e., not the top node) and selecting **View Report**.

### Constructed variables

Many of the advanced analysis methods can save variables (e.g., predicted scores from *Regression*, segments from *Cluster Analysis* and *Latent Class Analysis*, factor scores from *Principal Components Analysis* and *Multiple Correspondence Analysis*). By right-clicking on these variables in the **Variables and Questions** tab and selecting **Trace Dependencies > Calculated Using** you can see the outputs generated when the variables were created.

### Experiments

Experiments, such as* exotic MaxDiff* (anchored, etc) and *legacy Choice Modeling*, are audited using the tools described in Ad Hoc Audits of Tables (i.e., as from Q’s perspective, such data is a type of question and they are thus audited in the same way as with any other type of question).

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