کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1149877 957900 2008 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Use of non-normality in structural equation modeling: Application to direction of causation
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
Use of non-normality in structural equation modeling: Application to direction of causation
چکیده انگلیسی

Structural equation modeling (SEM) typically utilizes first- and second-order moment structures. This limits its applicability since many unidentified models and many equivalent models that researchers would like to distinguish are created. In this paper, we relax this restriction and assume non-normal distributions on exogenous variables. We shall provide a solution to the problems of underidentifiability and equivalence of SEM models by making use of non-normality (higher-order moment structures). The non-normal SEM is applied to finding the possible direction of a path in simple regression models. The method of (generalized) least squares is employed to estimate model parameters. A test statistic for examining a fit of a model is proposed. A simulation result and a real data example are reported to study how the non-normal SEM approach works empirically.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Statistical Planning and Inference - Volume 138, Issue 11, 1 November 2008, Pages 3483–3491
نویسندگان
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