Jun 5, 2020 · This tutorial explains how to use VIF to detect multicollinearity in a regression analysis in SPSS. Example: Multicollinearity in SPSS Suppose we have the following dataset …

In this video I show how to conduct a multicollinearity test (with VIFs) in SPSS.

To illustrate the process of detecting multicollinearity using VIF in SPSS, we will utilize a hypothetical dataset. Suppose we are investigating factors influencing student performance on …

Multicollinearity can be checked using the Collinearity diagnostics in the Statistics menu. In the Plots menu, move ZRESID to the Y box and ZPRED to the X box to check the assumption of …

Feb 20, 2025 · This article will delve into what multicollinearity is, how it affects statistical models, and step-by-step instructions on detecting and handling multicollinearity within SPSS.

Nov 16, 2025 · Today, we're diving deep into the world of multicollinearity, specifically how to identify and handle it using SPSS. We'll break down the concept, explain why it matters, and …

The primary concern is that as the degree of multicollinearity increases, the coefficient estimates become unstable and the standard errors for the coefficients can get wildly inflated. In this …

Jan 18, 2020 · The following tutorial shows you how to use the "Collinearity Diagnostics" table to further analyze multicollinearity in your multiple regressions. The tutorial is based on SPSS …

In this video, we’ll guide you through the process of checking for collinearity in SPSS. Understanding how to identify multicollinearity is essential for ensuring the accuracy and...

The post explains the Variance Inflation Factor (VIF) for detecting multicollinearity in regression models, providing implementation guides for R, SPSS, and JASP, and advice on interpreting …