Applied Longitudinal Data Analysis

The investigation of change has fascinated empirical researchers for generations, and to do it well, they must have longitudinal data. This much-needed professional book will instruct readers in the many new methodologies now at their disposal to make the best use of longitudinal data, including both individual growth modeling and survival analysis, making it a unique contribution to the literature on research methods. The authors employ many cases and examples from a variety of disciplines, covering multilevel models, curvilinear and discontinuous change, in addition to discrete-time hazard models, continuous-time event occurrence, and Cox regression models.