Statistical Horizons Seminar: Dyadic Data Analysis


The study of interdependence contributes to a rich understanding of social life. Does a husband’s depression affect his wife’s depression? Does his depression influence her marital satisfaction? How similar is their level of depression, and does that similarity predict other variables such as marital satisfaction? What predicts their degree of similarity in depression?

These are the kinds of questions addressed in the analysis of dyadic data. Other common dyadic relationships include mother-child, doctor-patient, dating couples, teammates, roommates, and co-workers. Traditional statistical methods assume that data are independent in the sense that one research participant does not influence another. However, in dyadic data analysis, the interdependence between individuals is the object of study.

In this seminar, we present techniques that treat interdependence as a phenomenon to model rather than a nuisance to avoid. One goal is to help participants develop an eye for research problems that lend themselves to the study of interdependence.

The seminar will cover basic principles and methods that are used in a variety of dyadic analyses. We will see how to use several different approaches, including structural equation modeling and multilevel modeling. These methods will allow us to simultaneously model relationships that are interpersonal, temporal and multivariate.

Who should attend?

The seminar is appropriate for anyone asking research questions involving two (or more) interacting individuals. It will assume a basic understanding of the general linear model (e.g., multiple regression and analysis of variance). We will make connections to more advanced method in structural equations and multilevel models, but knowledge of those methods is not a prerequisite.


The course will primarily provide examples in the R statistics package. However, syntax for other packages such as SAS, SPSS and MLWin will also be provided.

Schedule and materials

The class will meet from 9 to 4 each day with a 1-hour lunch break.

Participants receive a bound manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of note taking.
Registration and Lodging

The fee of $895 includes all course materials. The early discount fee is $795 until November 6.

Lodging Reservation Instructions

A block of rooms has been reserved at the Club Quarters Hotel, 1628 Chestnut St., Philadelphia, PA at a nightly rate of $116 for a Standard room. This hotel is about a 5-minute walk from the seminar location. To register, you must call 203-905-2100 during business hours and identify yourself with Statistical Horizons and give the group code STA012 . For guaranteed rate and availability, you must make your reservation by November 7, 2013.


Introduction to research questions involving dyadic processes
Type of dyadic designs and types of data structures (e.g., distinguishable vs. exchangeable dyads)
Intraclass correlation
Actor-partner interaction models
Latent variable models
Visualizing dyadic data
How to report and interpret dyadic analyses in manuscripts

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