Identifying potential heteroskedasticity when performing linear regression in SPSS (v27) @mikecrowson2462
Identifying potential heteroskedasticity when performing linear regression in SPSS (v27)  @mikecrowson2462
Uploaded March 2021 | Updated September 2026, 2 weeks ago
In this video I walk through examples of how to identify potential heteroskedasticity using SPSS using residuals plots and the Breusch-Pagan test and White's test. The first example involves a simple regression, whereas the second involves multiple regression.

Download a copy of the data here: drive.google.com/file/d/1jHWQORgA7I-lxckDO-xPTVscD6oJ-maA/view?usp=sharing

Download the Powerpoint referenced in the video here: drive.google.com/file/d/1V61GJi0QhQEIAI4VmtMXxKCJT28YSQp5/view?usp=sharing
Identifying potential heteroskedasticity when performing linear regression in SPSS (v27)Multiple regression in SPSS: Using the Wild Bootstrap to obtain bootstrap confidence intervalsMultiple regression with Robust Standard Errors in SPSS (February 2021)One sample t-test using SPSS version 28Introductory overview of linear regression using Stata (Jan 2023)A Non Econometricians Guide to Causal Identification with Fixed Effects Models as a Case StudyTesting moderated mediation (with parallel mediators) in SPSS with Process Models 14 and 15Exploratory factor analysis using RStudio and EFA.dimensions package (video accompanying blog post)Path analysis with manifest variables using Stata Part 1: The basicsPath analysis with latent variables in Stata based on sem syntaxDescriptive statistics with SPSS 2026Determining number of factors during EFA using Maximum Likelihood factor analysis in SPSS
Mike Crowson |

Identifying potential heteroskedasticity when performing linear regression in SPSS (v27)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER