Complex, Multilevel, and Longitudinal Research Models

Catalog description

Strategy, application, interpretation, and reporting for simple and complex factorial, repeated measures, time series, higher-order growth, unbalanced, and multiple constant and inconstant covariates designs; error covariance structure modeling, hierarchical linear modeling, multilevel cross-classification modeling, multilevel individual growth-curve modeling, multiple-group multilevel modeling, multilevel generalized linear modeling for discrete outcomes (multilevel multiple logistic regression); Receiver Operating Characteristic curve analysis; latent growth mixture modeling.