Diary methods allow researchers to examine processes in daily life in a way that is not possible using traditional methods. Using diaries, researchers can obtain repeated observations on psychological variables over hours, days, and weeks. Diary data, however, present several data analytic challenges stemming from the various possible sources of interdependence in these data. The multilevel or hierarchical linear model (HLM) provides a flexible set of analytic tools that can take account of these complexities. Workshop topics will include: History and introduction to diary methods and designs; analyzing the time course in diary data; analyzing within-person processes; extension to diary data from dyads; categorical diary outcomes; psychometrics of diary measures; power in diary studies; and mediation in diary data. The course will include lectures, software demonstrations, and computer lab work. The main software used will be HLM6 with a handful of more complex applications conducted in Mplus.
Dr. Jean-Philippe Laurenceau, Psychology, University of Delaware
Dr. Niall Bolger, Psychology, Columbia University