{"title":"在R中使用“metaSEM”包","authors":"C. Hoi, R. Schumacker","doi":"10.1080/15366367.2021.1991759","DOIUrl":null,"url":null,"abstract":"ABSTRACT Over the last few decades, researchers have increased interests in synthesizing data using the meta-analysis approach. While this method has been able to provide new insights to the literature with findings drawn from secondary data, scholars in the field of Psychology and Methodology have been proposing the integration of meta-analysis with structural equation modeling approach. In this vein, the method of meta-analytic structural equation modeling (MASEM) with the two-step structural equation modeling (TSSEM) approach have been developed, corresponding with the metaSEM package for the use in R statistic package. Ever since its development in 2015, the metaSEM package as well as the TSSEM approach have still been constantly updated and modified. In order to promote the use, this study aims at providing a software review for the metaSEM package and its codes on the R platform. R codes, figures, as well as initial results interpretations are provided.","PeriodicalId":46596,"journal":{"name":"Measurement-Interdisciplinary Research and Perspectives","volume":"133 1","pages":"111 - 119"},"PeriodicalIF":0.6000,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using “metaSEM” Package in R\",\"authors\":\"C. Hoi, R. Schumacker\",\"doi\":\"10.1080/15366367.2021.1991759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Over the last few decades, researchers have increased interests in synthesizing data using the meta-analysis approach. While this method has been able to provide new insights to the literature with findings drawn from secondary data, scholars in the field of Psychology and Methodology have been proposing the integration of meta-analysis with structural equation modeling approach. In this vein, the method of meta-analytic structural equation modeling (MASEM) with the two-step structural equation modeling (TSSEM) approach have been developed, corresponding with the metaSEM package for the use in R statistic package. Ever since its development in 2015, the metaSEM package as well as the TSSEM approach have still been constantly updated and modified. In order to promote the use, this study aims at providing a software review for the metaSEM package and its codes on the R platform. R codes, figures, as well as initial results interpretations are provided.\",\"PeriodicalId\":46596,\"journal\":{\"name\":\"Measurement-Interdisciplinary Research and Perspectives\",\"volume\":\"133 1\",\"pages\":\"111 - 119\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement-Interdisciplinary Research and Perspectives\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15366367.2021.1991759\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement-Interdisciplinary Research and Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15366367.2021.1991759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
ABSTRACT Over the last few decades, researchers have increased interests in synthesizing data using the meta-analysis approach. While this method has been able to provide new insights to the literature with findings drawn from secondary data, scholars in the field of Psychology and Methodology have been proposing the integration of meta-analysis with structural equation modeling approach. In this vein, the method of meta-analytic structural equation modeling (MASEM) with the two-step structural equation modeling (TSSEM) approach have been developed, corresponding with the metaSEM package for the use in R statistic package. Ever since its development in 2015, the metaSEM package as well as the TSSEM approach have still been constantly updated and modified. In order to promote the use, this study aims at providing a software review for the metaSEM package and its codes on the R platform. R codes, figures, as well as initial results interpretations are provided.