ABSTRACT
This chapter introduces the cross-lagged panel model for investigating the directionality of hypothesized causes. Each model is illustrated and careful consideration is given to interpretation of autoregression and cross-lagged effects. Simplex and quasi-simplex models for investigating autoregressive effects across multiple time points are discussed in detail. Special analysis issues related to binary and ordinal variables are discussed. Longitudinal mediation concepts and testing strategies are also explored.
