{"title":"在比较不同研究的效果时，线性的关键作用","authors":"Herbert Bless, Michaela Wänke","doi":"10.1038/s44159-023-00220-w","DOIUrl":null,"url":null,"abstract":"Comparing effect sizes between studies is critical for evaluating empirical evidence and gaining a broader understanding of underlying phenomena. However, many effects in psychology are nonlinear, which causes problems for interpreting such comparisons and meta-analyses.","PeriodicalId":74249,"journal":{"name":"Nature reviews psychology","volume":"2 9","pages":"516-517"},"PeriodicalIF":16.8000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The crucial role of linearity when comparing effects across studies\",\"authors\":\"Herbert Bless, Michaela Wänke\",\"doi\":\"10.1038/s44159-023-00220-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Comparing effect sizes between studies is critical for evaluating empirical evidence and gaining a broader understanding of underlying phenomena. However, many effects in psychology are nonlinear, which causes problems for interpreting such comparisons and meta-analyses.\",\"PeriodicalId\":74249,\"journal\":{\"name\":\"Nature reviews psychology\",\"volume\":\"2 9\",\"pages\":\"516-517\"},\"PeriodicalIF\":16.8000,\"publicationDate\":\"2023-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature reviews psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44159-023-00220-w\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature reviews psychology","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44159-023-00220-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
The crucial role of linearity when comparing effects across studies
Comparing effect sizes between studies is critical for evaluating empirical evidence and gaining a broader understanding of underlying phenomena. However, many effects in psychology are nonlinear, which causes problems for interpreting such comparisons and meta-analyses.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
