Structural equation modeling (SEM) can be adapted in a relatively straightforward fashion to analyze data from interchangeable dyads (i.e., dyads in which the 2 members cannot be differentiated). The authors describe a general strategy for SEM model estimation, comparison, and fit assessment that can be used with either dyad-level or pairwise (double-entered) dyadic data. They present applications illustrating this approach with the actor-partner interdependence model, confirmatory factor analysis, and latent growth curve analysis.

In this study, psychological control of children was conceptually and empirically distinguished from behavioral control. Further, it was demonstrated as hypothesized that psychological control was more predictive of adolescent internalized problems, and that behavioral control was more predictive of externalized problems. Subjects were 473 fifth-, eighth-, and tenth-grade males and females from a Southern suburb. Control was measured by the Child Report of Parent Behavior Inventory and the Colorado Self-Report of Family Functioning Inventory. Problem behaviors were measured with the Child Behavior Checklist. First- and second-order factor analyses discriminated psychological and behavioral control, and structural equation analyses demonstrated the differential prediction of internalized and externalized problems. These last analyses were conducted using youth-reported data and validated using a subsample of 227 mother-youth pairs.

This study examined the definitional and statistical overlap among 4 key group therapeutic relationship constructs-group climate, cohesion, alliance, and empathy-across member-member, member-group, and member-leader relationships. Three multilevel structural equation models were tested using selfreport measures completed by 662 participants from 111 counseling center and personal growth groups. As hypothesized, almost all measures of therapeutic relationship were significantly correlated. Hypothesized 1-factor, 2-factor (Working and Bonding factors), and 3-factor (Member, Leader, and Group factors) models did not fit the data adequately. An exploratory model with Bonding, Working, and Negative factors provided the best fit to the data. Group members distinguished among relationships primarily according to relationship quality rather than the status or role of others (i.e., leader, member, or whole group).

This study assessed patterns of change in perceived school and youth functioning, and the extent to which perceived change in the school environment predicted changed youth functioning, across four consecutive grade transitions, two of which involved the transition to a new school. Youth reported decreased quality of the school environment and decreased academic/personal/interpersonal functioning at every grade transition. This pattern was most pronounced at the transition from sixth to seventh grade, a transition that did not correspond to the transition to middle school but did correspond to the move from small family pods during the first year of middle school to the more typical middle school environment in the eighth grade. Analyses revealed that perceived change in several elements of the school environment (most strongly, perceived change in teacher support) did significantly explain changes in levels of student academic, personal, and interpersonal functioning.

In this study, psychological control of children was conceptually and empirically distinguished from behavioral control. Further, it was demonstrated as hypothesized that psychological control was more predictive of adolescent internalized problems, and that behavioral control was more predictive of externalized problems. Subjects were 473 fifth-, eighth-, and tenth-grade males and females from a Southern suburb. Control was measured by the Child Report of Parent Behavior Inventory and the Colorado Self-Report of Family Functioning Inventory. Problem behaviors were measured with the Child Behavior Checklist. First- and second-order factor analyses discriminated psychological and behavioral control, and structural equation analyses demonstrated the differential prediction of internalized and externalized problems. These last analyses were conducted using youth-reported data and validated using a subsample of 227 mother-youth pairs.