Comparative Fit Index Calculator

The Comparative Fit Index (CFI) is a measure of how well a statistical model fits data. It is commonly used in structural equation modeling to compare the fit of different models.

Input Parameters

Calculation Results

Calculation Formula

CFI = (1 + (χ² / df)) * (N - 1) / N

Where:
χ² = Chi-Square statistic
df = Degrees of Freedom
N = Sample Size

Result

CFI:

Comparative Fit Index Calculator Calculator Usage Guide

Learn how to use the Comparative Fit Index Calculator calculator and its working principles

How to Use the Calculator

  1. Enter the Chi-Square (χ²) value in the first input field.
  2. Enter the Degrees of Freedom (df) in the second input field.
  3. Enter the Sample Size (N) in the third input field.
  4. Click the "Calculate" button to compute the Comparative Fit Index (CFI).
  5. The result will be displayed in the "Result" section.

Understanding the CFI

The Comparative Fit Index (CFI) is a measure of model fit that ranges from 0 to 1. A value of 0.90 or higher is generally considered a good fit for the model.

Formula Explanation

CFI = (1 + (χ² / df)) * (N - 1) / N

Where:
χ² = Chi-Square statistic
df = Degrees of Freedom
N = Sample Size