Analysis of a two-level structural equation model with group-specific variables in LISREL
Publication in refereed journal


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摘要Two-level data sets are frequently encountered in social and behavioral science research. They arise when observations are drawn from a known hierarchical structure, as when individuals are randomly drawn from groups that are randomly drawn from a target population. When the covariance structures in the group level and the individual level are the same, standard structural equation modeling software such as LISREL can be used easily to analyze 2-level data sets. However, if the data set consists of variables that have group-level characteristics, LISREL cannot be used in a straightforward manner to implement the analysis of structural equation models that have different structures at the group and individual level. This article illustrates how 2-level structural equation models with additional group-level variables, and hence different structures at the group and individual levels, can be analyzed by LISREL with appropriate settings. A small-scale simulation study was conducted to examine the performance of the proposed method. The results indicate that the proposed method can produce reliable parameter estimates, standard errors, and goodness-of-fit test statistics. The proposed procedure was also used to analyze real data from a study on leadership effectiveness, which examines the correlation between self-ratings and ratings from multiple subordinates.
著者Bai Y, Poon WY, Cheung GWH
期刊名稱Structural Equation Modeling
出版年份2006
月份1
日期1
卷號13
期次4
出版社LAWRENCE ERLBAUM ASSOC INC
頁次544 - 565
國際標準期刊號1070-5511
電子國際標準期刊號1532-8007
語言英式英語
Web of Science 學科類別Mathematical Methods In Social Sciences; Mathematics; Mathematics, Interdisciplinary Applications; MATHEMATICS, INTERDISCIPLINARY APPLICATIONS; Social Sciences, Mathematical Methods; SOCIAL SCIENCES, MATHEMATICAL METHODS

上次更新時間 2021-15-09 於 00:43