Back to search

Article

Checking the Assumptions of Your Statistical Model Without Getting Paranoid

2018-08-10

Abstract excerpt

<p>This tutorial shows how you can graphically check the assumptions behind the general linear model (which includes t-tests, ANOVA, and ANCOVA as well as simple and multiple regression) without succumbing to paranoia. The basic principle is that you draw diagnostic plots for the actual model as well as for models fitted to simulated data so that the model assumptions are known to be accurate. If you can tell the...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
659f3a11-eaa8-507e-b2fd-b1e85b6e6d39
DOI
10.31234/osf.io/zvawb
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Checking the Assumptions of Your Statistical Model Without Getting ParanoidDOI 10.31234/osf.io/zvawb
Select a neighboring publication to make it the new centre.