Sik‐yum Lee

Datos Biográficos

ID3844022
NOMBRESik‐yum Lee
NOMBRESSik‐yum
APELLIDOLee
FIRMALEE S Y
AFILIACIONESChinese University of Hong Kong
VERIFICADONo
TOTAL DE OBRAS12
TOTAL DE CITAS33
TOTAL COMO AUTOR12
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN1980
AÑO MÁS RECIENTE DE PUBLICACIÓN2007
ÍNDICE H3

  • Structural Equation Modeling

    Open AccessSik-Yum Lee, Sik‐yum LeeBOOKStructural Equation Modeling2007

    Structural equation modeling , Structural equation modeling , کتابخانه دیجیتال جندی شاپور اهواز

  • Discriminant Analysis Using Mixed Continuous, Dichotomous, and Ordered Categorical Variables

    Sik-Yum Lee, Sik‐yum Lee et al.ARTICLEMultivariate Behavioral Research2007

    This article proposes an intuitive approach for predictive discriminant analysis with mixed continuous, dichotomous, and ordered categorical variables that are defined via an underlying multivariate normal distribution with a threshold specification. The classification rule is based on the comparison of the observed data logarithm probability density functions. To reduce the computational burden, the analysis is conducted in the context of a conf…

  • A Unified Maximum Likelihood Approach for Analyzing Structural Equation Models With Missing Nonstandard Data

    Open AccessSik-Yum Lee, Sik‐yum Lee et al.ARTICLESociological Methods & Research2007Citada por: 3Referencias: 39

    In this article, the authors present a unified approach for maximum likelihood analysis of structural equation models that involve subtle model formulations and nonstandard data structures. Based on the idea of data augmentation, they describe a generic Monte Carlo expectation-maximization algorithm for estimation. They propose path sampling for computing the observed data likelihood functions that usually involve complicated integrals and show h…

  • Bayesian Analysis of Structural Equation Models With Nonlinear Covariates and Latent Variables

    Xin-Yuan Song, Sik-Yum Lee et al.ARTICLEMultivariate Behavioral Research2006

    In this article, we formulate a nonlinear structural equation model (SEM) that can accommodate covariates in the measurement equation and nonlinear terms of covariates and exogenous latent variables in the structural equation. The covariates can come from continuous or discrete distributions. A Bayesian approach is developed to analyze the proposed model. Markov chain Monte Carlo methods for obtaining Bayesian estimates and their standard error e…

  • Maximum Likelihood Analysis of Nonlinear Structural Equation Models With Dichotomous Variables

    Xin-Yuan Song, Sik-Yum Lee et al.ARTICLEMultivariate Behavioral Research2005

    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 development is to augment the observed dichotomous data with the hypothetical missing data that invol…

  • Comparison of Approaches in Estimating Interaction and Quadratic Effects of Latent Variables

    Sik-Yum Lee, Sik‐yum Lee et al.ARTICLEMultivariate Behavioral Research2004

    Various approaches using the maximum likelihood (ML) option of the LISREL program and products of indicators have been proposed to analyze structural equation models with non-linear latent effects on the basis of Kenny and Judd's formulation. Recently, some methods based on the Bayesian approach and the exact ML approaches have been developed. This article reviews, elaborates and compares several approaches for analyzing nonlinear models with int…

  • Evaluation of the Bayesian and Maximum Likelihood Approaches in Analyzing Structural Equation Models with Small Sample Sizes

    Sik-Yum Lee, Sik‐yum Lee et al.ARTICLEMultivariate Behavioral Research2004

    The main objective of this article is to investigate the empirical performances of the Bayesian approach in analyzing structural equation models with small sample sizes. The traditional maximum likelihood (ML) is also included for comparison. In the context of a confirmatory factor analysis model and a structural equation model, simulation studies are conducted with the different magnitudes of parameters and sample sizes n = da, where d = 2, 3, 4…

  • Case-Deletion Diagnostics for Nonlinear Structural Equation Models

    Sik-Yum Lee, Sik‐yum Lee et al.ARTICLEMultivariate Behavioral Research2003

    In this article, a case-deletion procedure is proposed to detect influential observations in a nonlinear structural equation model. The key idea is to develop the diagnostic measures based on the conditional expectation of the complete-data log-likelihood function in the EM algorithm. An one-step pseudo approximation is proposed to reduce the computational burden. Building blocks in the diagnostic measures are computed via the observations genera…

  • Case-Deletion Diagnostics for Factor Analysis Models With Continuous and Ordinal Categorical Data

    Open AccessSik-Yum Lee, Sik‐yum Lee et al.ARTICLESociological Methods & Research2003Referencias: 31

    This article proposes a method to detect influential observations in a factor analysis model with continuous and ordinal categorical variables. The key ideas are to treat the latent factors as hypothetical missing data and then develop the diagnostic measures on the basis of the conditional expectation of the complete-data log-likelihood function in the EM algorithm. A one-step approximation is proposed to reduce the computational burden. Buildin…

  • Hypothesis Testing and Model Comparison in Two-level Structural Equation Models

    Sik-Yum Lee, Sik‐yum Lee et al.ARTICLEMultivariate Behavioral Research2001

    One basic and important problem in two-level structural equation modeling is to find a good model for the observed sample data. This article demonstrates the use of the well-known Bayes factor in the Bayesian literature for hypothesis testing and model comparison in general two-level structural equation models. It is shown that the proposed methodology is flexible, and can be applied to situations with a wide variety of nonnested models. Moreover…

  • Variations in problem conceptualizations and intended solutions among Hong Kong students

    Open AccessF M Cheung, Sik-Yum Lee et al.ARTICLECulture Medicine and Psychiatry1983Citada por: 9Referencias: 25

  • An Analysis of the Relationship Between Language Attitudes and English Attainment of Secondary Students in Hong Kong

    Open AccessHerbert D Pierson, Gail Schaefer Fu et al.ARTICLELanguage Learning1980Citada por: 21Referencias: 8

    This study analyzes the relationship between English language attainment and attitudes towards English among Chinese-speaking (Canton dialect) secondary school students in Hong Kong. The subjects were Form IV (10th grade) students from both English-medium and Chinese-medium schools. Attitude measures were obtained by use of both direct and indirect means. Attitudes towards English were measured directly by means of a series of statements concerni…