首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Latent Differential Equation Models for Binary and Ordinal Data
Authors:Yueqin Hu  Steven M Boker
Institution:1. Texas State Universityyjh4@txstate.edu;3. University of Virginia
Abstract:This study evaluates latent differential equation models on binary and ordinal data. Binary and ordinal data are widely used in psychology research and many statistical models have been developed, such as the probit model and the logit model. We combine the latent differential equation model with the probit model through a threshold approach, and then compare the threshold model with a naive model, which blindly treats binary and ordinal data as continuous. Simulation results suggest that the naive model leads to bias on binary data and on ordinal data with fewer than 5 levels, whereas the threshold model is unbiased and efficient for binary and ordinal data. Two example analyses on empirical binary data and ordinal data show that the threshold model also has better external validity. The R code for the threshold model is provided.
Keywords:latent differential equation modeling  ordinal data  threshold
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号