日程安排

1. 工作坊：Introduction to Latent Class and Latent Profile Analysis

时间：7月2日下午2:30-5:30

地点：华南师范大学心理学院711室

2. 讨论会：Latent Class and Latent Transition Analysis: Applied and Simulation Study

时间：7月3日下午7:00-8:30

地点：华南师范大学心理学院301室

Section #1: An empirical study by latent transition analysis

Section #2: Simulation study on classify-analyze for latent class with distal outcomes

3. 工作坊：A Practical Guide to Causal Inference with Propensity Scores

时间：7月4日上午8:30-11:30

地点：华南师范大学心理学院214室

主讲人简介： Bethany C. Bray 博士，Ph.D., 于2000年在密歇根大学就读数学与应用统计本科，随后在宾州州立大学就读应用统计与人类发展、家庭研究方向的硕博学位。曾任弗吉尼亚理工大学心理学助理教授，现任美国宾州州立大学方法研究中心研究员。主要从事潜在类别分析（latent class analysis），潜在转变分析（latent transition analysis），因果推断模型（casual inference）、变系数模型（time varying effect model）等统计方法研究，以及吸烟、酗酒、药物滥用、赌博等预防干预领域的研究，至今在Structural Equation Modeling: A Multidisciplinary Journal，Prevention Science等学术期刊发表文章20余篇。 

工作坊内容简介
        主题一：Introduction to Latent Class and Latent Profile Analysis
摘要：The goal of this workshop is to help participants gain the theoretical background and applied skills to be able to address interesting research questions using latent class and latent profile analysis. By the end of the workshop, participants will have examined preliminary latent class and latent profile models provided by the instructor. Participants will become familiar with many of the latent class analysis concepts covered in the recent book co-authored by Drs. Linda Collins and Stephanie Lanza and published by Wiley, Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. Participants will also become familiar with analogous latent profile analysis concepts. Workshop time will be spent in lecture, software demonstrations, exercises, and iscussion. At the workshop, participants will be provided with an electronic copy of all lecture notes, select exercises and output, and suggested reading lists for future  reference. The prerequisite for this workshop is graduate-level statistics training for the behavioral or health sciences up through linear regression.
相关链接：http://methodology.psu.edu/ra/lca

主题二： A Practical Guide to Causal Inference with Propensity Scores
摘要：The goal of this workshop is to help participants gain the theoretical background and applied skills to be able to draw causal inferences from observational data where participants were not randomized to levels of a predictor. By the end of the workshop, participants will have worked through three step-by-step demonstrations of propensity score methods (i.e., weighting, matching, subclassification) in the context of an empirical example. Participants will become familiar with the concepts introduced in a paper by Lanza, Moore, and Butera (2013) in theAmerican Journal of Community Psychology. Workshop time will be spent in lecture, demonstrations, and discussion. At the workshop, participants will be provided with an electronic copy of all lecture notes, the referenced paper, and suggested reading lists for future reference. The prerequisite for this workshop is graduate-level statistics training for the behavioral or health sciences up through linear regression.
相关链接：http://methodology.psu.edu/ra/causal

备注：请参与者自备手提电脑