Embedded in a theoretically founded process model (termed Dynamics of Motive Satisfaction, 'Dyna-MoS'), the present study examined the links between the implicit dispositional communion motive, everyday motivational dynamics, and relationship outcomes in couples. Within-subject processes are proposed to explain betweensubject associations of dispositional motives and relationship satisfaction. For an empirical test of the model, data on the dispositional partner-related need for communion and global relationship satisfaction were obtained from 152 individuals in heterosexual relationships. In an extensive experience sampling spanning 2 weeks, a subsample of 130 individuals answered questions about their current motivational states, mood, state relationship satisfaction, and experiences with their partner five times a day. The results were largely consistent with the DynaMoS model:(1) individuals with a strong dispositional implicit communion motive reported more often to be in a communal motivational state; (2) communally motivated individuals were more likely to engage in subsequent instrumental behaviour; and (3) relationship experiences that potentially satisfy communion motivation led to more positive relationship outcomes when individuals were motivated before compared with when they were not. It is discussed how these results and the experience sampling method can foster our understanding of how dispositional characteristics translate into everyday processes and shape relationship outcomes.When looking into the psychological literature about relationship functioning, a variety of research can be found on between-person and between-couple factors that are associated with better or worse relationship quality. These include,

Early adulthood is a time of substantial personality change characterized by large inter-individual diversity. To investigate the role of age in this diversity, the present study examined whether emerging adults differ from an older group of young adults in their Big Five personality development. By means of multi-group latent change modelling, two groups of 16-to 19-year-olds (n = 3555) and 26-to 29-year-olds (n = 2621) were tracked over the course of four years and compared regarding four aspects of personality change: mean-level change, rank-order change, interindividual differences in change, and profile change. In addition, age-differential socialization effects associated with six first-time life events were investigated. Analyses revealed substantial age differences in all four aspects of change. As expected, emerging adults showed greater change and diversity in change than young adults. However, the six life events had no age-differential impact on change in single traits and Big Five profiles. Overall, the results indicate that age differences should be considered even in specific life stages to advance the understanding of personality development.

Although rooted in reality, partner perceptions often reflect wishful thinking due to perceivers' needs. Dispositional needs, or motives, can differ between persons; however, little is known about their differential associations with everyday partner perception. The present study used data from a 4-week experience sampling study (N = up to 60942 surveys from 510 individuals nested in 259 couples) to examine the effects of perceivers' partner-related implicit and explicit communal motives on the perception of (i) global communal partner behaviour and (ii) specific communal and uncommunal partner behaviours. The results of truth and bias models of judgement and quasi-signal detection analyses indicate that strong implicit communal approach motives and strong explicit communal motives are associated with the tendency to overestimate the partner's communal behaviour. Additionally, strong implicit communal approach motives were associated with the tendency to avoid perceptions of uncommunal partner behaviour. Neither implicit nor explicit communal motives had an effect on accuracy in the perception of particularly communal partner behaviour. The results highlight the relevance of both implicit and explicit communal motives for momentary partner perceptions and emphasise the benefits of dyadic microlongitudinal designs for a better understanding of the mechanisms through which individual differences manifest in couples' everyday lives.

The investigation of within-person process models, often done in experience sampling designs, requires a reliable assessment of within-person change. In this paper, we focus on dyadic intensive longitudinal designs where both partners of a couple are assessed multiple times each day across several days. We introduce a statistical model for variance decomposition based on generalizability theory (extending P. E. Shrout & S. P. Lane, 2012), which can estimate the relative proportion of variability on four hierarchical levels: moments within a day, days, persons, and couples. Based on these variance estimates, four reliability coefficients are derived: between-couples, between-persons, within-persons/between-days, and within-persons/between-moments. We apply the model to two dyadic intensive experience sampling studies (n1 = 130 persons, 5 surveys each day for 14 days, ≥ 7508 unique surveys; n2 = 508 persons, 5 surveys each day for 28 days, ≥ 47764 unique surveys). Five different scales in the domain of motivational processes and relationship quality were assessed with 2 to 5 items: State relationship satisfaction, communal motivation, and agentic motivation; the latter consists of two subscales, namely power and independence motivation. Largest variance components were on the level of persons, moments, couples, and days, where within-day variance was generally larger than between-day variance. Reliabilities ranged from .32 to .76 (couple level), .93 to .98 (person level), .61 to .88 (day level), and .28 to .72 (moment level). Scale intercorrelations reveal differential structures between and within persons, which has consequences for theory building and statistical modeling.

The investigation of within-person process models, often done in experience sampling designs, requires a reliable assessment of within-person change. In this paper, we focus on dyadic intensive longitudinal designs where both partners of a couple are assessed multiple times each day across several days. We introduce a statistical model for variance decomposition based on generalizability theory (extending P. E. Shrout & S. P. Lane, 2012), which can estimate the relative proportion of variability on four hierarchical levels: moments within a day, days, persons, and couples. Based on these variance estimates, three reliability coefficients are derived: between-persons, within-persons/between-days, and within-persons/between-moments. We apply the model to two dyadic intensive experience sampling studies (n_1 = 130 persons, 5 surveys each day for 14 days, >= 7.508 unique surveys; n_2 = 510 persons, 5 surveys each day for 28 days, >= 47.871 unique surveys). Five different scales in the domain of motivational processes and relationship quality were assessed with 2 to 5 items: State relationship satisfaction, communal motivation, and agentic motivation, which consist of two subscales, namely power and independence motivation. Largest variance components were on the level of persons, moments, couples, and days, where within-day variance was generally larger than between-day variance. Reliabilities ranged from .95 to .98 (person level), .52 to .86 (day level), and .28 to .70 (moment level). Scale intercorrelations reveal differential structures between and within persons, which has consequences for theory building and statistical modeling.