Many-level multilevel structural equation modeling: An efficient evaluation strategy.
نویسندگان
چکیده
Structural equation models are increasingly used for clustered or multilevel data in cases where mixed regression is too inflexible. However, when there are many levels of nesting, these models can become difficult to estimate. We introduce a novel evaluation strategy, Rampart, that applies an orthogonal rotation to the parts of a model that conform to commonly met requirements. This rotation dramatically simplifies fit evaluation in a way that becomes more potent as the size of the data set increases. We validate and evaluate the implementation using a 3-level latent regression simulation study. Then we analyze data from a state-wide child behavioral health measure administered by the Oklahoma Department of Human Services. We demonstrate the efficiency of Rampart compared to other similar software using a latent factor model with a 5-level decomposition of latent variance. Rampart is implemented in OpenMx, a free and open source software.
منابع مشابه
Beyond Multilevel Regression Modeling: Multilevel Analysis in a General Latent Variable Framework
Multilevel modeling is often treated as if it concerns only regression analysis and growth modeling. Multilevel modeling, however, is relevant for nested data not only with regression and growth analysis but with all types of statistical analyses. This chapter has two aims. First, it shows that already in the traditional multilevel analysis areas of regression and growth there are several new m...
متن کاملMultilevel Regression and Multilevel Structural Equation Modeling
Multilevel modeling in general concerns models for relationships between variables defined at different levels of a hierarchical data set, which is often viewed as a multistage sample from a hierarchically structured population. Common applications are individuals within groups, repeated measures within individuals, longitudinal modeling, and cluster randomized trials. This chapter treats the m...
متن کاملStanley A. Mulaik, Linear Causal Modeling with Structural Equations, Chapman & Hall/CRC., 2009, pp. 468, ISBN 14398 00383
This book presents a novel approach to the teaching of structural equation modeling from one of the primary figures in the area. It is primarily addressed to quantitative methodologists and their graduate students but will be useful to the wider audience of individuals interested in more extended and contemporary presentations of structural equation modeling. Particular strengths of the book in...
متن کاملModel fit evaluation in multilevel structural equation models
Assessing goodness of model fit is one of the key questions in structural equation modeling (SEM). Goodness of fit is the extent to which the hypothesized model reproduces the multivariate structure underlying the set of variables. During the earlier development of multilevel structural equation models, the "standard" approach was to evaluate the goodness of fit for the entire model across all ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Structural equation modeling : a multidisciplinary journal
دوره 24 5 شماره
صفحات -
تاریخ انتشار 2017