Multiple regression in SPSS: Using the Wild Bootstrap to obtain bootstrap confidence intervals @mikecrowson2462
Multiple regression in SPSS: Using the Wild Bootstrap to obtain bootstrap confidence intervals  @mikecrowson2462
Uploaded March 2021 | Updated September 2026, 2 weeks ago
This video demonstrates how to generate bootstrap confidence intervals for regression coefficients in those cases where you have evidence of residual heteroskedasticity. Specifically, I demonstrate how to use the Wild bootstrap using SPSS version 27.

The data for this demonstration can be downloaded here: drive.google.com/file/d/1jHWQORgA7I-lxckDO-xPTVscD6oJ-maA/view?usp=sharing

The Powerpoint referenced in the video can be downloaded here: drive.google.com/file/d/1ipKv_n0ID9l0jCdRvjGMjjpZ3GhMhuP0/view?usp=sharing

Link to manual referenced in video: sussex.ac.uk/its/pdfs/SPSS_Bootstrapping_20.pdf
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 SPSSDownloading and activating Hayes Process macro for RStudio
Mike Crowson |

Multiple regression in SPSS: Using the Wild Bootstrap to obtain bootstrap confidence intervals

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER