This study introduces a two-part factor mixture model as an alternative analysis approach to modeling data where strong floor effects and unobserved population heterogeneity exist in the measured items. As the names suggests, a two-part factor mixture model combines a two-part model, which addresses the problem of strong floor effects by decomposing the data into dichotomous and continuous resp...

Increasing accuracy motivation (e.g., by providing monetary incentives for accuracy) often fails to increase adjustment away from provided anchors, a result that has led researchers to conclude that people do not effortfully adjust away from such anchors. We challenge this conclusion. First, we show that people are typically uncertain about which way to adjust from provided anchors and that thi...

We provide a review on the empirical likelihood method for regression type inference problems. The regression models considered in this review include parametric, semiparametric and nonparametric models. Both missing data and censored data are accommodated.

Many studies have demonstrated that the children of divorce are disproportionately likely to end their own marriages. In previous work, I showed that the transmission of divorce between generations weakened substantially for General Social Survey (GSS) respondents interviewed between 1973 and 1996 (Wolfinger 1999); Li and Wu (2006, 2008) contended that my finding is a methodological artifact of...

Motivated by a longitudinal oral health study, we propose a flexible modeling approach for clustered time-to-event data, when the response of interest can only be determined to lie in an interval obtained from a sequence of examination times (interval-censored data) and on top of that, the determination of the occurrence of the event is subject to misclassification. The clustered time-to-event ...

We investigate the effect of unobserved heterogeneity in the context of the linear transformation model for censored survival data in the clinical trials setting. The unobserved heterogeneity is represented by a frailty term, with unknown distribution, in the linear transformation model. The bias of the estimate under the assumption of no unobserved heterogeneity when it truly is present is obt...

 1a. Indoors  1b. Outdoors  2a. Alone  2b. With others  3a. With people  3b. With things  4a. Moving around  4b. Sitting still  5a. Lively places  5b. Quiet place  6a. Uniform  6b. Dressy clothes  7a. Same tasks  7b. Different tasks  8a. Unskilled  8b. Semi-skilled  9a. Supervised  9b. Not supervised  10a. One place  10b. Travel around  Others______________  Others________...