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Xu Qin; Lijuan Wang – Grantee Submission, 2023
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…
Descriptors: Causal Models, Mediation Theory, Computer Software, Statistical Analysis
Page, Xinru Woo – ProQuest LLC, 2014
This work aims to understand real-world factors shaping behaviors and attitudes towards location-sharing social networks (LSSN), especially as to why people avoid or abandon this technology, or limit their usage. Based on interview-based qualitative research and survey-based exploratory quantitative research, I hypothesize conceptual models…
Descriptors: Social Media, Mass Media Use, Geographic Location, Information Dissemination
Cheung, Mike W. -L. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Confidence intervals (CIs) for parameters are usually constructed based on the estimated standard errors. These are known as Wald CIs. This article argues that likelihood-based CIs (CIs based on likelihood ratio statistics) are often preferred to Wald CIs. It shows how the likelihood-based CIs and the Wald CIs for many statistics and psychometric…
Descriptors: Intervals, Structural Equation Models, Simulation, Correlation
Song, Xin-Yuan; Lee, Sik-Yum – Multivariate Behavioral Research, 2005
In this article, a maximum likelihood approach is developed to analyze structural equation models with dichotomous variables that are common in behavioral, psychological and social research. To assess nonlinear causal effects among the latent variables, the structural equation in the model is defined by a nonlinear function. The basic idea of the…
Descriptors: Structural Equation Models, Simulation, Computation, Error of Measurement