Testing Dependent Correlation Coefficients via Structural Equation Modeling
نویسندگان
چکیده
منابع مشابه
Testing students’ e-learning via Facebook through Bayesian structural equation modeling
Learning is an intentional activity, with several factors affecting students' intention to use new learning technology. Researchers have investigated technology acceptance in different contexts by developing various theories/models and testing them by a number of means. Although most theories/models developed have been examined through regression or structural equation modeling, Bayesian analys...
متن کاملTesting strong factorial invariance using three-level structural equation modeling
Within structural equation modeling, the most prevalent model to investigate measurement bias is the multigroup model. Equal factor loadings and intercepts across groups in a multigroup model represent strong factorial invariance (absence of measurement bias) across groups. Although this approach is possible in principle, it is hardly practical when the number of groups is large or when the gro...
متن کاملMoment testing for interaction terms in structural equation modeling
Starting with Kenny and Judd (1984) several methods have been introduced for analyzing models with interaction terms. In all these methods more information from the data than just means and covariances is required. In this paper we also use more than just firstand second-order moments, however we are aiming to adding just a selection of the third-order moments. The key issue in this paper is to...
متن کاملStructural Equation Modeling
This chapter provides an introduction to structural equation modeling (SEM), a statistical technique that allows scientists and researchers to quantify and test scientific theories. As an example, a model from behavioral genetics is examined, in which genetic and environmental influences on a trait are determined. The many procedures and considerations involved in SEM are outlined and described...
متن کاملStructural Equation Modeling
Structural equation modeling (SEM) grows out of and serves purposes similar to multiple regression, but in a more powerful way which takes into account the modeling of interactions, nonlinearities, correlated independents, measurement error, correlated error terms, multiple latent independents each measured by multiple indicators, and one or more latent dependents also each with multiple indica...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Organizational Research Methods
سال: 2004
ISSN: 1094-4281,1552-7425
DOI: 10.1177/1094428104264024