Douglas D Heckathorn
Douglas D Heckathorn
Finite Normal Mixture SEM Analysis by Fitting Multiple Conventional SEM Models [0.03%]
通过拟合多个传统SEM模型进行有限常规混合结构方程分析
Ke-Hai Yuan,Peter M Bentler
Ke-Hai Yuan
This paper proposes a two-stage maximum likelihood (ML) approach to normal mixture structural equation modeling (SEM), and develops statistical inference that allows distributional misspecification. Saturated means and covariances are estim...
EFFECTS OF EXPOSURE ON PREVALENCE AND CUMULATIVE RELATIVE RISK: DIRECT AND INDIRECT EFFECTS IN A RECURSIVE HAZARD MODEL [0.03%]
暴露对流行率和累积相对危险度的影响：危害模型中的直接与间接效应
Lawrence L Wu,Steven P Martin
Lawrence L Wu
This paper outlines decomposition methods for assessing how exposure affects prevalence and cumulative relative risk. Let x denote a vector of exogenous covariates and suppose that a single dimension of time t governs two event processes T(...
Using Instrumental Variable (IV) Tests to Evaluate Model Specification in Latent Variable Structural Equation Models [0.03%]
运用工具变量检验来评估潜变量结构方程模型中的模型设定误差
James B Kirby,Kenneth A Bollen
James B Kirby
Structural Equation Modeling with latent variables (SEM) is a powerful tool for social and behavioral scientists, combining many of the strengths of psychometrics and econometrics into a single framework. The most common estimator for SEM i...
AN EMPIRICAL TEST OF RESPONDENT-DRIVEN SAMPLING: POINT ESTIMATES, VARIANCE, DEGREE MEASURES, AND OUT-OF-EQUILIBRIUM DATA [0.03%]
被访者驱动抽样法的经验测试：点估计，方差，度量和非平衡数据
Cyprian Wejnert
Cyprian Wejnert
This paper, which is the first large scale application of Respondent-Driven Sampling (RDS) to non-hidden populations, tests three factors related to RDS estimation against institutional data using two WebRDS samples of university undergradu...
D H Hill
D H Hill
"This paper will investigate the issue of weighting for panel attrition in event-history models by comparing alternative treatments of sampling weights in a divorce model for members of the 1986 [U.S.] Survey of Income and Program Participa...
The neighborhood history calendar: a data collection method designed for dynamic multilevel modeling [0.03%]
社区历史日历：一种用于动态多水平建模的数据收集方法
W G Axinn,J S Barber,D J Ghimire
W G Axinn
"This paper presents a new data collection method, called the Neighborhood History Calendar, designed to collect event histories of community-level changes over time. We discuss the need for and the uses of this method. We describe issues r...
D H Hill,W G Axinn,A Thornton
D H Hill
"The present paper develops a generalization of the standard discrete-time competing hazards model that allows for the types of stochastic dependencies resulting from shared unmeasured risk factors. An empirical example is provided using th...
G Guo
G Guo
"This paper aims at providing a practical guidance for coping with social science event-history data that are left-truncated, especially when the length of exposure prior to observation is known. Only the case of single events is treated, a...
W L Rodgers
W L Rodgers
"Procedures for decomposing differences between two populations--for example, into the part that is due to differences in age-specific rates and the part that is due to differences in age distributions--have been used to decompose time tren...