{"title":"使用泛化理论软件套件:GENOVA, urGENOVA和mGENOVA","authors":"S. Y. Kim","doi":"10.1080/15366367.2022.2025569","DOIUrl":null,"url":null,"abstract":"ABSTRACT This article reviews the GENOVA Suite designed for generalizability theory analyses. The GENOVA Suite consists of three programs: GENOVA, urGENOVA, and mGENOVA. Key features and capabilities of the programs are presented and two illustrative example analyses are provided using mGENOVA. Additionally, comparisons with some existing programs are made.","PeriodicalId":46596,"journal":{"name":"Measurement-Interdisciplinary Research and Perspectives","volume":"44 1","pages":"181 - 194"},"PeriodicalIF":0.6000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Generalizability Theory software suite: GENOVA, urGENOVA, and mGENOVA\",\"authors\":\"S. Y. Kim\",\"doi\":\"10.1080/15366367.2022.2025569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This article reviews the GENOVA Suite designed for generalizability theory analyses. The GENOVA Suite consists of three programs: GENOVA, urGENOVA, and mGENOVA. Key features and capabilities of the programs are presented and two illustrative example analyses are provided using mGENOVA. Additionally, comparisons with some existing programs are made.\",\"PeriodicalId\":46596,\"journal\":{\"name\":\"Measurement-Interdisciplinary Research and Perspectives\",\"volume\":\"44 1\",\"pages\":\"181 - 194\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-07-03\",\"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/10.1080/15366367.2022.2025569\",\"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/10.1080/15366367.2022.2025569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
Using Generalizability Theory software suite: GENOVA, urGENOVA, and mGENOVA
ABSTRACT This article reviews the GENOVA Suite designed for generalizability theory analyses. The GENOVA Suite consists of three programs: GENOVA, urGENOVA, and mGENOVA. Key features and capabilities of the programs are presented and two illustrative example analyses are provided using mGENOVA. Additionally, comparisons with some existing programs are made.
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