## Introduction

This article describes how to perform a Barlett Test of Sphericity. This test is used to make sure that the correlation matrix of the variables in your dataset diverges significantly from the identity matrix. An identity matrix is a matrix in which all of the values along the diagonal are 1 and all of the other values are 0. If the p-value from Bartlett’s Test of Sphericity is lower than your chosen significance level (common choices are 0.10, 0.05, and 0.01), then we can assume that the variables in the correlation matrix are not orthogonal.

## Requirements

A Displayr document containing a data set which contains two or more variables which have a **Structure** set as **Numeric** or **Numeric-Multi**. Note that binary categorical variables can also be used as inputs but will be converted to numeric when calculating the correlation coefficients.

## Method

- Select
**Anything > Advanced Analysis > Test > Barlett Test of Sphericity**. - Select your inputs from the object inspector on the right.
- OPTIONAL: Select
**Variable names**to display variable names in the output instead of the variable labels - OPTIONAL: Select
**More decimal places**to display more decimal places of precision in the output. - OPTIONAL: Select
**Missing data**to change the way missing values are handled- Select
**Use partial data (pairwise correlations)**to treat each pair of variables separately and only include observations that have valid values for each pair in the data set. - Select
**Error if missing data**if you do not want the test performed if there is any missing data - Select
**Exclude cases with missing data**if you only want to use cases with valid values on all the variables - Select
**Imputation (replace missing values with estimate)**to request that imputation techniques be used to replace missing values with estimates

- Select

## See Also

How to do a principal components analysis in Displayr

## Comments

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