Rank-order stability of relationship satisfaction: A meta-analysis of longitudinal studies

Satisfaction with a romantic relationship often changes over time, and individuals differ in how satisfied they are in their relationship. However, no systematic review is available regarding the stability of individual differences in relationship satisfaction. Therefore, this meta-analysis synthesizes the available longitudinal data on rank-order stability of relationship satisfaction, as a function of age and relationship duration. Analyses were based on 148 samples including 153,396 participants reporting on their relationship over time. Mean age associated with the effect sizes ranged from 19 to 71 years, and mean relationship duration from 3 months to 46 years. On average, individual differences in relationship satisfaction were highly stable over time (r = .76, corrected for attenuation due to measurement error and based on an average time lag of 2.30 years). Rank-order stability varied systematically as a function of age, increasing from young to late adulthood with a slight decline during middle adulthood. Rank-order stability also varied as a function of relationship duration, increasing over the course of the relationship with a slight decline around 20 years of relationship duration. Moderator analyses suggested that relationship transitions shortly before Time 1 and sample type explained variance in rank-order stability. However, except for these two moderators, the pattern of findings was robust across all characteristics tested. In sum, this meta-analysis indicates that relationship satisfaction is a relatively stable construct, with lower stabilities in young adulthood and in the first years after beginning a relationship. This knowledge may stimulate future research on developmental processes within romantic relationships

The self in romantic relationships : understanding personality and romantic relationships from three perspectives

In the pursuit of a better understanding of the self in romantic relationships, this dissertation holds three research perspectives on people’s personality and their romantic relationships: a narrative identity perspective, a life-span perspective, and a process-based perspective. The narrative identity perspective was employed in Studies 1 and 2, in that Study 1 examined personality from an integrative actor–agent–author standpoint and Study 2 theoretically elaborated on the nexus between the narrative identity approach and the study of romantic relationships. More specifically, findings from Study 1 revealed that the actor (expressed as personality traits), the agent (expressed as life goals), and the author (expressed as life narratives) showed empirical associations that can be meaningfully interpreted in light of master motives (i.e., getting along, getting ahead, and a compound of both). Study 2 discussed the relevance and benefits of conceptualizing and analyzing relationship experiences as narrative representations, highlighting narrative methodologies as a valuable tool for understanding such relationships. The life-span perspective was employed in Studies 3 and 4, investigating whether age matters for personality and romantic relationships. Corresponding aspects were examined in both areas: Life goals as a striving-related aspect of personality (Study 3) and the Michelangelo phenomenon as a striving-related aspect of romantic relationships (Study 4). More specifically, results from Study 3 revealed that age matters for life goals insofar as goal-importance domains and goal-attainability domains mapped onto developmental tasks that adults usually encounter in a respective life stage. Moreover, the association between goal importance and goal attainability was largely bidirectional over time, and goal attainability, rather than goal importance, was positively related to later subjective well-being; these effects were largely independent of age. Findings from Study 4 revealed the Michelangelo phenomenon as a fairly age-independent principle, underscoring that people of any age were likely to move toward their ideal self and to benefit from this movement. The process-based perspective was employed in Study 5 and examined three daily relationship processes in the transactional link between personality and relationship satisfaction. Findings from this study indicated that people with interpersonal vulnerabilities (i.e., neuroticism, low self-esteem, insecure attachment) reported lower levels of beneficial daily emotional, cognitive, and behavioral relationship processes (i.e., perceived responsiveness, positive expectations, and self-disclosure) and higher day-to-day variability in these processes. However, only the level of these processes, not their variability, explained later relationship satisfaction. The same was true for the reversed direction in that lower levels of beneficial relationship processes mediated the link between relationship satisfaction and later interpersonal vulnerabilities. As such, insights into couples’ daily lives contribute to explaining personality–relationship transactions in romantic couples. In sum, this cumulative dissertation offers a nuanced view on people’s personality and their romantic relationships through the application of three distinct yet converging research perspectives. An outlook on how these research strands can be merged in future research is provided

A developmental perspective on personality-relationship transactions: Evidence from three nationally representative samples

Objective: Throughout their lives, people experience different relationship events, such as beginning or dissolving a romantic relationship. Personality traits predict the occurrence of such relationship events (i.e., selection effects), and relationship events predict changes in personality traits (i.e., socialization effects), summarized as personality-relationship transactions. So far, evidence was partly inconsistent as to how personality traits and relationship events are linked with each other. In this article, we argue that unnoticed age differences might have led to these inconsistencies. To systematically test for age differences in transactions, we conceptualize relationship events in terms of gains and losses and apply a developmental perspective on transactions. Methods: Using longitudinal data from three nationally representative samples (SOEP, HILDA, Understanding Society), we computed event-focused latent growth models and summarized the results meta-analytically. Results: The findings indicated some transactions. Of these, selection effects were stronger than socialization effects, and effects of gain-based events were stronger than effects of loss-based events. We observed few interactions with age. Conclusion: Selection effects and, particularly, socialization effects, tend to be rare and fairly independent of age. We discuss a series of broader and narrower factors that may have an impact on the strength of transactions across adulthood

Life events and personality change: A systematic review and meta-analysis

While there is some evidence for changes in personality traits, life satisfaction, and self-esteem as a function of life events, effects have been small and inconsistent across studies. In this preregistered meta-analysis, we summarize the available evidence on personality change in response to life events using data from 44 studies, including 89 samples with a total of 121,187 participants. Results supported reliable and specific albeit relatively small effects of life events on personality change. Effects were larger and more consistent in the work than in the love domain, with graduation, the first job, a new relationship, marriage, and divorce showing the strongest effects on change in personality variables. Estimates were largely comparable across samples with and without comparison groups. Finally, moderator analyses indicated significant effects of time lag on the links between life events in the love domain and personality change but no effects of other examined variables. We discuss these results in the context of a field-wide turn towards designs that go beyond the study of single life events to examine the mechanisms of personality change using more sophisticated and sensitive designs

Life Events and Personality Change: A Systematic Review and Meta-Analysis

While there is some evidence for changes in personality traits, life satisfaction, and self-esteem as a function of life events, effects have been small and inconsistent across studies. In this preregistered meta-analysis, we summarize the available evidence on personality change in response to life events using data from 44 studies, including 89 samples with a total of 121,187 participants. Results supported reliable and specific albeit relatively small effects of life events on personality change. Effects were larger and more consistent in the work than in the love domain, with graduation, the first job, a new relationship, marriage, and divorce showing the strongest effects on change in personality variables. Estimates were largely comparable across samples with and without comparison groups. Finally, moderator analyses indicated significant effects of time lag on the links between life events in the love domain and personality change but no effects of other examined variables. We discuss these results in the context of a field-wide turn towards designs that go beyond the study of single life events to examine the mechanisms of personality change using more sophisticated and sensitive designs

Effect size guidelines for cross-lagged effects

Cross-lagged models are by far the most commonly used method to test the prospective effect of one construct on another, yet there are no guidelines for interpreting the size of cross-lagged effects. This research aims to establish empirical benchmarks for cross-lagged effects, focusing on the cross-lagged panel model (CLPM) and the random intercept cross-lagged panel model (RI-CLPM). We drew a quasirepresentative sample of studies published in four subfields of psychology (i.e., developmental, social–personality, clinical, and industrial–organizational). The dataset included 1,028 effect sizes for the CLPM and 302 effect sizes for the RI-CLPM, based on data from 174 samples. For the CLPM, the 25th, 50th, and 75th percentiles of the distribution corresponded to cross-lagged effect sizes of .03, .07, and .12, respectively. For the RI-CLPM, the corresponding values were .02, .05, and .11. Effect sizes did not differ significantly between the CLPM and RI-CLPM. Moreover, effect sizes did not differ significantly across subfields and were not moderated by design characteristics. However, effect sizes were moderated by the concurrent correlation between the constructs and the stability of the predictor. Based on the findings, we propose to use .03 (small effect), .07 (medium effect), and .12 (large effect) as benchmark values when interpreting the size of cross-lagged effects, for both the CLPM and RI-CLPM. In addition to aiding in the interpretation of results, the present findings will help researchers plan studies by providing information needed to conduct power analyses and estimate minimally required sample sizes

Happiness around the world: A combined etic-emic approach across 63 countries.

What does it mean to be happy? The vast majority of cross-cultural studies on happiness have employed a Western-origin, or "WEIRD" measure of happiness that conceptualizes it as a self-centered (or "independent"), high-arousal emotion. However, research from Eastern cultures, particularly Japan, conceptualizes happiness as including an interpersonal aspect emphasizing harmony and connectedness to others. Following a combined emic-etic approach (Cheung, van de Vijver & Leong, 2011), we assessed the cross-cultural applicability of a measure of independent happiness developed in the US (Subjective Happiness Scale; Lyubomirsky & Lepper, 1999) and a measure of interdependent happiness developed in Japan (Interdependent Happiness Scale; Hitokoto & Uchida, 2015), with data from 63 countries representing 7 sociocultural regions. Results indicate that the schema of independent happiness was more coherent in more WEIRD countries. In contrast, the coherence of interdependent happiness was unrelated to a country's "WEIRD-ness." Reliabilities of both happiness measures were lowest in African and Middle Eastern countries, suggesting these two conceptualizations of happiness may not be globally comprehensive. Overall, while the two measures had many similar correlates and properties, the self-focused concept of independent happiness is "WEIRD-er" than interdependent happiness, suggesting cross-cultural researchers should attend to both conceptualizations

Does Michelangelo care about age? An adult life-span perspective on the Michelangelo phenomenon

Humans are motivated to expand their actual self toward an ideal self. Known as the Michelangelo phenomenon, movement toward the ideal self can be facilitated through an affirming romantic partner and is linked to positive life outcomes. Yet, research on the Michelangelo phenomenon has primarily focused on young adult samples, and it remains unknown whether the framework generalizes across the adult life-span. The authors addressed this shortcoming by examining the Michelangelo phenomenon in a three-generation sample of 505 adults aged 18–90 years (M = 47.2 years). Multilevel analyses revealed one age effect on the framework, showing that being seen by the partner in a manner congruent with one’s ideal self (i.e., partner perceptual affirmation) becomes more important for relationship satisfaction with increasing age. Otherwise, age did not affect the Michelangelo phenomenon, suggesting life-span generalizability of the framework. By highlighting personal-growth processes that continue across the life-span, the present findings add to theories of successful aging

Development of relationship satisfaction across the life span: A systematic review and meta-analysis

Previous research has not led to any agreement as to the normative trajectory of relationship satisfaction. In this systematic review and meta-analysis, we summarize the available evidence on development of relationship satisfaction, as a function of age and relationship duration. Data came from 165 independent samples including 165,039 participants. In the analyses, we examined cross-sectional information on mean level, that is, the percent-of-maximum-possible (POMP) score at the first assessment, and longitudinal information on mean change (i.e., change in POMP scores per year). The mean age associated with effect sizes ranged from 20 to 76 years and the mean relationship duration from 3 months to 46 years. Results on mean levels indicated that relationship satisfaction decreased from age 20 to 40, reached a low point at age 40, then increased until age 65, and plateaued in late adulthood. As regards the metric of relationship duration, relationship satisfaction decreased during the first 10 years of the relationship, reached a low point at 10 years, increased until 20 years, and then decreased again. Results on mean change indicated that relationship satisfaction decreased within a given relationship, with the largest declines in young adulthood and in the first years of a relationship. Moderator analyses suggested that presence of children and measure of relationship satisfaction explained variance in the mean level. Except for these two moderators, the pattern of findings held across characteristics such as birth cohort, sample type, country, ethnicity, gender, household shared with partner, marital status, relationship transitions, and dyadic data

A dyadic personality perspective on the Michelangelo phenomenon: How personality traits relate to people's ideal selves and their personal growth in romantic relationships

Personality matters for romantic relationships. In this study, we investigated personal growth in couples (the Michelangelo phenomenon) and targeted questions of personality effects. We explored whether traits intrapersonally predict ideal selves as well as whether traits intra- and interpersonally account for why some people are more likely to benefit from the Michelangelo phenomenon than others. We used data from a 4-year study of 163 couples (Mage = 50.72 years). Logistic regressions indicate complementarity effects for men, in that those high in neuroticism were likely to wish to be emotionally stable. Actor–partner interdependence models revealed positive actor effects of emotional stability, extraversion, and agreeableness, while few partner effects emerged. We discuss dyadic personal growth in view of individual trait differences