{"title":"ICT影响的动态结构方程模型的最大似然估计","authors":"D. Cziráky, M. Škrtić","doi":"10.1109/ITI.2004.241607","DOIUrl":null,"url":null,"abstract":"We propose estimation methods for dynamic structural equation models with latent variables that generalize models such as that of M. Skrtic et al. (2003) which considers the impact of Internet-use on research output. The proposed methods are based on the full information maximum likelihood (FIML) principle and have better small sample performance then existing distribution-free methods based on instrumental variables (D. Cziraky, 2003)","PeriodicalId":320305,"journal":{"name":"26th International Conference on Information Technology Interfaces, 2004.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Maximum likelihood estimation of dynamic structural equation models for ICT impact\",\"authors\":\"D. Cziráky, M. Škrtić\",\"doi\":\"10.1109/ITI.2004.241607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose estimation methods for dynamic structural equation models with latent variables that generalize models such as that of M. Skrtic et al. (2003) which considers the impact of Internet-use on research output. The proposed methods are based on the full information maximum likelihood (FIML) principle and have better small sample performance then existing distribution-free methods based on instrumental variables (D. Cziraky, 2003)\",\"PeriodicalId\":320305,\"journal\":{\"name\":\"26th International Conference on Information Technology Interfaces, 2004.\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"26th International Conference on Information Technology Interfaces, 2004.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITI.2004.241607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"26th International Conference on Information Technology Interfaces, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITI.2004.241607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maximum likelihood estimation of dynamic structural equation models for ICT impact
We propose estimation methods for dynamic structural equation models with latent variables that generalize models such as that of M. Skrtic et al. (2003) which considers the impact of Internet-use on research output. The proposed methods are based on the full information maximum likelihood (FIML) principle and have better small sample performance then existing distribution-free methods based on instrumental variables (D. Cziraky, 2003)
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