Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro

In this paper, I demonstrate how to assess the heteroskedasticity problems in cross-sectional studies that use linear regression models using my \emph {HeteroskedasticityV3} SPSS macro. I present two illustrative examples inspired from real research. This paper also provides the annotations of the m...

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Main Author: Daryanto, Ahmad
Format: Article
Language:English
Published: Université d'Ottawa 2020-12-01
Series:Tutorials in Quantitative Methods for Psychology
Subjects:
Online Access:https://www.tqmp.org/Vignettes/vol16-5/v008/v008.pdf
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author Daryanto, Ahmad
author_facet Daryanto, Ahmad
author_sort Daryanto, Ahmad
collection DOAJ
description In this paper, I demonstrate how to assess the heteroskedasticity problems in cross-sectional studies that use linear regression models using my \emph {HeteroskedasticityV3} SPSS macro. I present two illustrative examples inspired from real research. This paper also provides the annotations of the macro outputs. In my classroom demonstrations, students were asked to analyse data sets used in this paper and discuss their regression results with and without implementing robust standard errors. The merits of checking for the presence of heteroskedasticity prior to adjusting robust standard errors were also discussed in class.
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spelling doaj.art-f3e7e1f5114a465c9b243452519855ae2022-12-21T22:01:52ZengUniversité d'OttawaTutorials in Quantitative Methods for Psychology1913-41262020-12-01165v8v2010.20982/tqmp.16.5.v008Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macroDaryanto, AhmadIn this paper, I demonstrate how to assess the heteroskedasticity problems in cross-sectional studies that use linear regression models using my \emph {HeteroskedasticityV3} SPSS macro. I present two illustrative examples inspired from real research. This paper also provides the annotations of the macro outputs. In my classroom demonstrations, students were asked to analyse data sets used in this paper and discuss their regression results with and without implementing robust standard errors. The merits of checking for the presence of heteroskedasticity prior to adjusting robust standard errors were also discussed in class.https://www.tqmp.org/Vignettes/vol16-5/v008/v008.pdfheteroskedasticitycross-sectional studiesspss, r
spellingShingle Daryanto, Ahmad
Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro
Tutorials in Quantitative Methods for Psychology
heteroskedasticity
cross-sectional studies
spss, r
title Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro
title_full Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro
title_fullStr Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro
title_full_unstemmed Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro
title_short Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro
title_sort tutorial on heteroskedasticity using heteroskedasticityv3 spss macro
topic heteroskedasticity
cross-sectional studies
spss, r
url https://www.tqmp.org/Vignettes/vol16-5/v008/v008.pdf
work_keys_str_mv AT daryantoahmad tutorialonheteroskedasticityusingheteroskedasticityv3spssmacro