PPT-Latent Class Analysis Computing examples

Karen BandeenRoche October 28 2016 Objectives For you to leave here knowing How to use the LCR SAS Macro for latent class analysis Brief introduction to poLCA in R How to interpret report output. Hongning Wang, . Yue. Lu, . ChengXiang. . Zhai. {. wang296,yuelu2,czhai. }@cs.uiuc.edu. Department of Computer Science University of Illinois at Urbana-Champaign Urbana IL, 61801 USA. 1. Kindle 3. iPad. Department of Economics. Stern School of Business. New York University. Latent Class Modeling. Outline. Finite mixture and latent class models . Extensions of the latent class model. Applications of several variations. Department of Economics. Stern School of Business. New York University. Some Applications of . Latent Class Modeling. In Health Economics. . Daniel . Oberski. Dept. of Methodology & Statistics . Tilburg University, The Netherlands. (with material from Margot . Sijssens-Bennink. & . Jeroen. . Vermunt. ). About Tilburg University Methodology & Statistics. Mensah FK, Nicholson JM, Headley L, Carlin JB, Berthelsen D, Wake M. NHMRC Capacity Building Grant, MCRI, RCH and University of Melbourne. Professors Melissa Wake, John Carlin . Professor Jan Nicholson, Parenting Research Centre, Melbourne. Latent Classes. A population contains a mixture of individuals of different types (classes). Common form of the data generating mechanism within the classes. Observed outcome y is governed by the . common process . analysis & Multi-state . modeling . in . the. . context of school . leadership. . improvement. Marieke van Geel. Overview. Research project. Hypotheses. Data . collection. Data analysis. ML LCA in . Alexander Kotov. 1. , . Mehedi. Hasan. 1. , . April . Carcone. 1. , Ming Dong. 1. , Sylvie Naar-King. 1. , Kathryn Brogan Hartlieb. 2. . 1 . Wayne State University. 2 . Florida International University. October 28, 2016. Objectives. For you to leave here knowing…. What is the LCR model and its underlying assumptions?. How are LCR parameters interpreted?. How does one check the assumptions of an LCR model?. Latent Classes. A population contains a mixture of individuals of different types (classes). Common form of the data generating mechanism within the classes. Observed outcome y is governed by the . common process . Trang Quynh Nguyen, May 9, 2016. 410.686.01 Advanced Quantitative Methods in the Social and Behavioral Sciences: A Practical Introduction. Objectives. Provide a QUICK introduction to latent class models and finite mixture modeling, with examples. William Greene. Stern School of Business. New York University. New York NY USA. 4.2 . Latent Class Models. Concepts. Latent Class. Prior and Posterior Probabilities. Classification Problem. Finite Mixture. A Gentle Introduction…. Hopefully. Angela B. Bradford, PhD, LMFT. School of Family Life. Brigham Young University. Background. Mixture Models (aka “finite mixture models”)- Models based on the idea that there are multiple characteristically different sub-populations within the population, and that those subpopulations are not directly observable. Mixture models characterize and estimate parameters for those sub-populations. Authors: Tin Seong KAM, . Karishma YADAV, . Sue-Ann SEET, Yi Ying TAN . INTRODUCTION. According to WHO, “Depression is a leading cause of disability worldwide and is a major contributor to the overall global burden of disease”. A major stumbling block in the care of depressed patients remains the .