Dynamic Process for Ordinal Data

This book is noted for its: elaborate introduction of differential equation modeling; panoramic description of popular longitudinal data analysis methods; organized review of typical approaches dealing with ordinal data; creative solution to adjust bias caused by applying differential equation modeling to ordinal data; two applicable examples in Psychology research, including one survey and one experiment; complete R code for differential equation modeling and bias adjustment solution.

Autorentext

Dr. Hu is Assistant Professor in the Quantitative Psychology concentration in the Department of Psychology at Texas State University. The majority of her research focuses on analytic issues related with dynamic system analyses and longitudinal studies.