Dyadic Data Analysis. New York: Guilford.

Kenny, Kashy, and Cook are helping usher in a paradigm shift for the field of psychology—toward the interpersonal paradigm—and this particular book summarizes major strides on the road to appropriate data analysis within this rising movement. Although the book’s title rightly implies a focus on dyadic data, the authors go to great lengths describing the fundamental statistical tech-niques that underlie many of the proposed analytic strategies—including surprisingly thorough reviews of multilevel modeling (chapter 4), structural equation modeling (SEM; chapter 5), and introductory social network analysis (chapter 11). The authors present three major designs for dyadic studies: (a) the standard dyadic design (involving samples of mutually exclusive couples, typically found in research on dating behavior and marital satisfaction), (b) the social relations model (SRM) design (involving groups of three or more individuals who are all interrelated, found in studies of person perception and of family systems), and (c) the one-with-many design (involving nested designs with multiple partners per focal actor). For each of these designs, dyad or unit members can be either distinguishable (e.g., husband–wife couples, with members distinguished by gender; families of mother, father, older sibling, and younger sibling, with members distinguished by family role) or can be indistin