Skip to main content

Goodness-of-Fit Measures

By: Abigail Jorgensen & Richard A. Williams | Edited by: Paul Atkinson, Sara Delamont, Alexandru Cernat, Joseph W. Sakshaug & Richard A. Williams Published: 2020 | Length:   5 | DOI: |
+- LessMore information
Download PDF

Quantitative researchers must make decisions about which model and which variables best address a particular research question. In order to answer questions about the distribution of the data and to decide on the best model, researchers often consider “goodness of fit.” While there are many types of goodness-of-fit measures, these measures generally compare the observed data to a model’s predictions to see how well the model matches the data. This entry provides an overview of four types of goodness-of-fit measures and details definitions, explanations, and examples for several common measures.

Types of Goodness-of-Fit Measures

Goodness-of-fit measures are often classified in different ways. This entry presents four categories of measures. The first type, measures of distribution fit, compares the distribution of the observed data to a hypothesized distribution. ...

Looks like you do not have access to this content.

Copy and paste the following HTML into your website