{"title":"利用森林样地引入元分析,包括简单的调节分析,早期统计学教育","authors":"G. Cumming","doi":"10.52041/srap.11504","DOIUrl":null,"url":null,"abstract":"Meta-analysis is the quantitative integration of empirical studies that address the same or similar issues. It is usually the best way to draw research-based conclusions that can guide evidence-based practice by professionals, and evidence-based decision making by public policy makers. Meta-analysis is so important that students should learn about it very early in their statistics education. The close links between meta-analysis and practical conclusions drawn from bodies of research mean that meta-analysis is a vital element in outreach from statistics education. I describe software that uses forest plots to make the basic ideas of meta-analysis accessible, and my experience using it with beginning students. I use the software to illustrate two major models for meta-analysis, and introduce graphical extensions to forest plots that illustrate how the crucial topic of moderator analysis can be explained and, in simple cases, interpreted visually.","PeriodicalId":226423,"journal":{"name":"Statistics Education and Outreach IASE Satellite Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Using forest plots to introduce meta-analysis, including simple moderator analysis, early in statistics education\",\"authors\":\"G. Cumming\",\"doi\":\"10.52041/srap.11504\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Meta-analysis is the quantitative integration of empirical studies that address the same or similar issues. It is usually the best way to draw research-based conclusions that can guide evidence-based practice by professionals, and evidence-based decision making by public policy makers. Meta-analysis is so important that students should learn about it very early in their statistics education. The close links between meta-analysis and practical conclusions drawn from bodies of research mean that meta-analysis is a vital element in outreach from statistics education. I describe software that uses forest plots to make the basic ideas of meta-analysis accessible, and my experience using it with beginning students. I use the software to illustrate two major models for meta-analysis, and introduce graphical extensions to forest plots that illustrate how the crucial topic of moderator analysis can be explained and, in simple cases, interpreted visually.\",\"PeriodicalId\":226423,\"journal\":{\"name\":\"Statistics Education and Outreach IASE Satellite Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistics Education and Outreach IASE Satellite Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52041/srap.11504\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics Education and Outreach IASE Satellite Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52041/srap.11504","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using forest plots to introduce meta-analysis, including simple moderator analysis, early in statistics education
Meta-analysis is the quantitative integration of empirical studies that address the same or similar issues. It is usually the best way to draw research-based conclusions that can guide evidence-based practice by professionals, and evidence-based decision making by public policy makers. Meta-analysis is so important that students should learn about it very early in their statistics education. The close links between meta-analysis and practical conclusions drawn from bodies of research mean that meta-analysis is a vital element in outreach from statistics education. I describe software that uses forest plots to make the basic ideas of meta-analysis accessible, and my experience using it with beginning students. I use the software to illustrate two major models for meta-analysis, and introduce graphical extensions to forest plots that illustrate how the crucial topic of moderator analysis can be explained and, in simple cases, interpreted visually.