{"title":"Reasons for Hierarchical Linear Modeling: A Reminder","authors":"Jianjun Wang","doi":"10.1080/00220979909598496","DOIUrl":null,"url":null,"abstract":"Abstract Delimitations of hierarchical linear modeling (HLM) were examined in terms of fixed and random effects in multilevel data analyses. The author used examples at the local and national levels to illustrate proper applications of HLM and dummy variable regression. Cautions are raised regarding circumstances under which hierarchical data do not need HLM.","PeriodicalId":47911,"journal":{"name":"Journal of Experimental Education","volume":"68 1","pages":"89-93"},"PeriodicalIF":2.2000,"publicationDate":"1999-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/00220979909598496","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Experimental Education","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.1080/00220979909598496","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 17
Abstract
Abstract Delimitations of hierarchical linear modeling (HLM) were examined in terms of fixed and random effects in multilevel data analyses. The author used examples at the local and national levels to illustrate proper applications of HLM and dummy variable regression. Cautions are raised regarding circumstances under which hierarchical data do not need HLM.
期刊介绍：
The Journal of Experimental Education publishes theoretical, laboratory, and classroom research studies that use the range of quantitative and qualitative methodologies. Recent articles have explored the correlation between test preparation and performance, enhancing students" self-efficacy, the effects of peer collaboration among students, and arguments about statistical significance and effect size reporting. In recent issues, JXE has published examinations of statistical methodologies and editorial practices used in several educational research journals.
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