Intensive longitudinal research designs are increasingly used to study personality
processes. The resulting data can be highly informative in ways that other data cannot, but …

Traditional statistical analyses can be compromised when data are collected from groups or
multiple observations are collected from individuals. We present an introduction to multilevel …

The purpose of this chapter is to guide the use of analytic models for studying the processes
underlying personality variables. It is important that personality psychologists have available …

Each volume explains a specific topic and has been written by an active scholar (or
scholars) with expertise in that particular methodological domain. Assuming no prior …

Technological advances have led to an increase in intensive longitudinal data and the
statistical literature on modeling such data is rapidly expanding, as are software capabilities …

With the growing popularity of intensive longitudinal research, the modeling techniques and
software options for such data are also expanding rapidly. Here we use dynamic multilevel …

Multilevel modeling is a technique that has numerous potential applications for social and
personality psychology. To help realize this potential, this article provides an introduction to …

Traditionally, researchers have used time series and multilevel models to analyze intensive
longitudinal data. However, these models do not directly address traits and states which …

Each volume explains a specific topic and has been written by an active scholar (or
scholars) with expertise in that particular methodological domain. Assuming no prior …

This comprehensive resource reviews structural equation modeling (SEM) strategies for
longitudinal data to help readers see which modeling options are available for which …