# Exploratory Factor Analysis

## KMO and Bartlett’s test of sphericity

The table below presents two different tests: the Kaiser-Meyer-Olkin (KMO) Measure of Sampling Adequacy and Bartlett’s test of Sphericity. KMO KMO is a test conducted to examine the strength of the partial correlation (how the factors explain each other) between the variables.

## Communalities

When we talk about communalities, we are interested in the amount of original information contained in each variable that can be extracted from a common factor.

## Scree Plot

In exploratory factor analysis (EFA) , a scree plot is a plot of eigenvalues of factors arranged in descending order of magnitude from the left to the right side of the plot.

## How to calculate the average of a construct

Since a construct/latent variable is measured with multiple items, it is important to find the average of these items particularly when one wishes to conduct a multiple linear regression or maybe look out for the correlation between constructs.

## Discriminant Validity through Fronell-Larcker Criterion

The Fronell-Larcker criterion is one of the most popular techniques used to check the discriminant validity of measurements models.

## Discriminant Validity

Your main reason for conducting discriminant validity for your study will be to show how distinct an item or set of items is from others.

## Convergent Validity

Convergent validity is a subset of construct validity. Here, the researcher’s aim is to find out whether the items he claims are measuring a particular construct are indeed measuring them.