{"title":"使用异方差V3 SPSS宏的异方差教程","authors":"A. Daryanto","doi":"10.20982/tqmp.16.5.v008","DOIUrl":null,"url":null,"abstract":"In this paper, I demonstrate how to assess the heteroskedasticity problems in cross-sectional studies that use linear regression models using my 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.","PeriodicalId":93055,"journal":{"name":"The quantitative methods for psychology","volume":" ","pages":""},"PeriodicalIF":1.3000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Tutorial on Heteroskedasticity using HeteroskedasticityV3 SPSS macro\",\"authors\":\"A. Daryanto\",\"doi\":\"10.20982/tqmp.16.5.v008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, I demonstrate how to assess the heteroskedasticity problems in cross-sectional studies that use linear regression models using my 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.\",\"PeriodicalId\":93055,\"journal\":{\"name\":\"The quantitative methods for psychology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The quantitative methods for psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20982/tqmp.16.5.v008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The quantitative methods for psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20982/tqmp.16.5.v008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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 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.