View source: R/check_factorstructure.R

check_sphericity_bartlett | R Documentation |

Bartlett's (1951) test of sphericity tests whether a matrix (of correlations) is significantly different from an identity matrix. The test provides probability that the correlation matrix has significant correlations among at least some of the variables in a dataset, a prerequisite for factor analysis to work. In other words, before starting with factor analysis, one needs to check whether Bartlett’s test of sphericity is significant.

check_sphericity_bartlett(x, ...)

`x` |
A dataframe. |

`...` |
Arguments passed to or from other methods. |

This function is strongly inspired by the `cortest.bartlett()`

function in the **psych** package (Revelle, 2016). All credit goes to its
author.

A list of indices related to sphericity.

Revelle, W. (2016). How To: Use the psych package for Factor Analysis and data reduction.

Bartlett, M. S. (1951). The effect of standardization on a Chi-square approximation in factor analysis. Biometrika, 38(3/4), 337-344.

library(performance) check_sphericity_bartlett(mtcars)

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