With observational or experience sampling designs,
dyadic longitudinal data are often placed in a multilevel / hierarchical framework that explicitly separates intradyad and interdyad associations.
A wide variety of procedures are used to analyze
dyadic longitudinal data, most of which distinguish dyad members (e.g., husbands, wives) and quantify time - dependent relationships between them (see Kenny et al., 2006 for overview).
Not exact matches
This
longitudinal study on coping in a sample of National Guard couples examined the association between the predeployment coping (active vs. avoidant) of each in the relationship, and their own and their significant others» mental health (anxiety, depression, posttraumatic stress disorder [PTSD]-RRB- and family well - being (
dyadic adjustment and parenting stress) postdeployment.
A
longitudinal examination of
dyadic distress patterns following a skills intervention for carers of adolescents with anorexia nervosa.
He is currently engaged in research examining the
longitudinal effects of stressors such as racial discrimination and chronic financial strain, on the
dyadic support experiences and mental health of married and cohabiting couples.
Finally, because his substantive interests involve processes that occur within relationships and therefore often involve non-independent data, Dr. Ackerman is particularly interested in analytic models for both cross-sectional and
longitudinal dyadic data.
A
longitudinal test of a developmental framework for the analysis for premarital
dyadic formation.
This study utilized
dyadic data of 239 married couples from three waves of a
longitudinal study on work and family issues conducted in Taiwan.
Meanwhile several studies using cross sectional as well as
longitudinal designs have confirmed bidirectional associations between deficits in
dyadic coping and depression (Bodenmann et al., 2004, 2008; Coyne, Thompson & Palmer, 2002; Cranford, 2004).
Becoming a Parent and Relationship Satisfaction: A
Longitudinal Dyadic Perspective.
Dyadic models emerging from the
longitudinal structural equation modeling tradition: Parallels with ecological models of interspecifc interactions