Evidence that specific personal relationships evoke maladaptive personality expression.

INTRODUCTION: This research applied relational regulation theory (RRT) to maladaptive personality as identified in the DSM-5, dimension trait model. RRT describes how individual social network members help people regulate their own affect, thought and action. Previous research found that people expressed different levels of normal personality dimensions and affect depending upon the network members that people were with or thinking about. METHODS: College students (N = 719) rated their expression of maladaptive dimensions and affect when with important network members, as well as the interpersonal characteristics of network members. RESULTS: People's maladaptive personality expression was strongly consistent across network members (recipient effects). Yet, personality expression also varied strongly depending upon which network member the recipient was with or thinking about (dyadic effects). PID-5 negative affectivity and PANAS negative affect more strongly reflected dyads than recipients. Antagonism and disinhibition more strongly reflected recipients than dyads. Network members who evoked maladaptive expressions were seen by recipients as unsupportive, unresponsive, as evoking conflict, attachment avoidance and attachment anxiety. However, the interpersonal constructs were mostly redundant in predicting maladaptive personality. Findings were replicated across random subsamples and gender. CONCLUSION: The findings provide evidence that important personal relationships can evoke the expression of maladaptive personality.

Supportive people evoke positive affect, but do not reduce negative affect, while supportive groups result from favorable dyadic, not group effects.

BACKGROUND AND OBJECTIVES: We addressed understudied questions in social support. Do providers, who recipients agree are more supportive than others (i.e., consensually supportive), evoke more favorable affect in recipients? Do groups differ in their supportiveness and do supportive groups evoke favorable affect in their members? Can any group differences be explained by dyadic relationships within groups? METHODS: We analyzed data from seven samples of well-acquainted groups and groups of strangers in which participants rated each other on supportiveness, and affect experienced when with each group member. RESULTS: Social Relations Model analyses indicated that consensually supportive providers evoked higher positive affect in recipients but not lower negative affect. Uniquely supportive relationships evoked higher positive and lower negative affect. Groups differed in their supportiveness and more supportive groups evoked higher positive and lower negative affect. Correlations between support and affect at the level of groups primarily reflected dyadic relationships within groups, rather than the groups themselves. Groups of strangers showed the same effects as well-acquainted groups. CONCLUSIONS: The findings for consensually supportive providers and low negative affect is inconsistent with most social support theory. Supportive groups' links to affect could be explained by dyadic relationships within groups, rather than the groups themselves.

The relational regulation of within-person variation in personality expression.

There is renewed interest in how people express different levels of personality across situations or times (within-person variation). However, within-person studies typically do not focus on the specific relationship partners that are linked to the expression of personality. To remedy this, we applied relational regulation theory (RRT) to the study of within-person variation. RRT states that specific relationship partners are important social contexts for understanding within-person variation and describes how people regulate their affect, action and thought through interacting with or thinking about specific partners. In three studies of students (Ns = 136, 349, 110), participants rated their levels of six- or five-factor personality dimensions when with or thinking about different relationship partners. Personality expression was strongly consistent across partners. Yet, in each study, there were also strong effects whereby more extraversion, agreeableness and openness were expressed when with some partners but not others. In each study, when a recipient saw a relationship as supportive, the recipient expressed more extraversion, agreeableness, and openness. Effects for emotionality and conscientiousness were less consistent. Theoretical implications for RRT and within-person variation in personality were discussed.

When Forecasting Mutually Supportive Matches Will Be Practically Impossible.

Forecasting which dyads will develop mutually supportive relationships is an important applied and basic research question. Applying psychometric theory to the design of forecasting studies shows that agreement between dyad members about their relationship (relational reciprocity) sets an upper limit for forecasting accuracy by determining the reliability of measurement. To test this, we estimated relational reciprocity in Study 1. Participants in seven samples (six student and one military; N = 504; Ndyads = 766) rated each other on support-related constructs in round-robin designs. Relational reciprocity was very low, undermining reliability. Formulas from psychometric theory predicted that forecasting supportive dyads would be practically impossible. To test this, we had participants in Study 2 complete a measure for matching dyads derived from recent theory. As predicted, supportive matches could not be forecast with acceptable precision. Theoretically, this falsifies some predictions of recent social-support theory. Practically, it remains unclear how to translate basic social-support research into effective interventions.

Ordinary Social Interaction and the Main Effect Between Perceived Support and Affect.

Relational regulation theory hypothesizes that (a) the main effect between perceived support and mental health primarily reflects ordinary social interaction rather than conversations about stress and how to cope with it, and (b) the extent to which a provider regulates a recipient's mental health primarily reflects the recipient's personal taste (i.e., is relational), rather than the provider's objective supportiveness. In three round-robin studies, participants rated each other on supportiveness and the quality of ordinary social interaction, as well as their own affect when interacting with each other. Samples included marines about to deploy to Afghanistan (N = 100; 150 dyads), students sharing apartments (N = 64; 96 dyads), and strangers (N = 48; 72 dyads). Perceived support and ordinary social interaction were primarily relational, and most of perceived support's main effect on positive affect was redundant with ordinary social interaction. The main effect between perceived support and affect emerged among strangers after brief text conversations, and these links were partially verified by independent observers. Findings for negative affect were less consistent with theory. Ordinary social interaction appears to be able to explain much of the main effect between perceived support and positive affect.

Understanding the P×S Aspect of Within-Person Variation: A Variance Partitioning Approach.

This article reviews a variance partitioning approach to within-person variation based on Generalizability Theory and the Social Relations Model. The approach conceptualizes an important part of within-person variation as Person × Situation (P×S) interactions: differences among persons in their profiles of responses across the same situations. The approach provided the first quantitative method for capturing within-person variation and demonstrated very large P×S effects for a wide range of constructs. These include anxiety, five-factor personality traits, perceived social support, leadership, and task performance. Although P×S effects are commonly very large, conceptual, and analytic obstacles have thwarted consistent progress. For example, how does one develop a psychological, versus purely statistical, understanding of P×S effects? How does one forecast future behavior when the criterion is a P×S effect? How can understanding P×S effects contribute to psychological theory? This review describes potential solutions to these and other problems developed in the course of conducting research on the P×S aspect of social support. Additional problems that need resolution are identified.

Forecasting the student-professor matches that result in unusually effective teaching.

BACKGROUND: Two important influences on students' evaluations of teaching are relationship and professor effects. Relationship effects reflect unique matches between students and professors such that some professors are unusually effective for some students, but not for others. Professor effects reflect inter-rater agreement that some professors are more effective than others, on average across students. AIMS: We attempted to forecast students' evaluations of live lectures from brief, video-recorded teaching trailers. SAMPLE: Participants were 145 college students (74% female) enrolled in introductory psychology courses at a public university in the Great Lakes region of the United States. METHODS: Students viewed trailers early in the semester and attended live lectures months later. Because subgroups of students viewed the same professors, statistical analyses could isolate professor and relationship effects. RESULTS: Evaluations were influenced strongly by relationship and professor effects, and students' evaluations of live lectures could be forecasted from students' evaluations of teaching trailers. That is, we could forecast the individual students who would respond unusually well to a specific professor (relationship effects). We could also forecast which professors elicited better evaluations in live lectures, on average across students (professor effects). Professors who elicited unusually good evaluations in some students also elicited better memory for lectures in those students. CONCLUSIONS: It appears possible to forecast relationship and professor effects on teaching evaluations by presenting brief teaching trailers to students. Thus, it might be possible to develop online recommender systems to help match students and professors so that unusually effective teaching emerges.

Relational regulation theory: a new approach to explain the link between perceived social support and mental health.

Perceived support is consistently linked to good mental health, which is typically explained as resulting from objectively supportive actions that buffer stress. Yet this explanation has difficulty accounting for the often-observed main effects between support and mental health. Relational regulation theory (RRT) hypothesizes that main effects occur when people regulate their affect, thought, and action through ordinary yet affectively consequential conversations and shared activities, rather than through conversations about how to cope with stress. This regulation is primarily relational in that the types of people and social interactions that regulate recipients are mostly a matter of personal taste. RRT operationally defines relationships quantitatively, permitting the clean distinction between relationships and recipient personality. RRT makes a number of new predictions about social support, including new approaches to intervention.

Perceived and capitalization support are substantially similar: implications for social support theory.

Social support is typically thought to protect people from bad events, whereas capitalization support augments people's reactions to good events. Because social support and capitalization support apply to different classes of events, most theory predicts that measures of perceived support and capitalization support should be empirically distinct. We tested a new theory that hypothesizes that the main effects between perceived support and mental health do not reflect stress and coping primarily, but instead reflect ordinary, yet affectively consequential conversations and shared activities, some of which include positive events. According to this view, perceived support and capitalization support should be substantially correlated, should have similar links to other constructs, and their links to favorable affect should overlap, yet not be completely redundant. In three samples, results were consistent with the new theory, when correlations reflected social influences. When correlations reflected trait influences, perceived and capitalization support showed greater overlap.

Preverbal error-monitoring in stutterers and fluent speakers.

This study was designed to characterize the brain system that monitors speech in people who stutter and matched controls. We measured two electrophysiological peaks associated with action-monitoring: the error-related negativity (ERN) and the error positivity (Pe). Both the ERN and Pe were reliably observed after errors in a rhyming task and a nonverbal flanker task, replicating previous reports of a language-monitoring ERN and demonstrating that the Pe can also be elicited by phonological errors. In the rhyming task, stutterers showed a heightened ERN peak regardless of whether they actually committed an error. Similar results, though only marginally significant, were obtained from the flanker task. These results support the vicious cycle hypothesis, which posits that stuttering results from over-monitoring the speech plan. The elevation of the ERN in stutterers and the similarity of the results between the flanker and rhyming tasks implies that speech-monitoring may rely on the same neural substrate as action-monitoring.

Do ratings of African-American cultural competency reflect characteristics of providers or perceivers? Initial demonstration of a generalizability theory approach.

Provider cultural competency is often identified as an important component of effective ethnic minority healthcare. However, there is limited knowledge of the manner in which cultural competency judgments operate. This study sought to provide an initial demonstration of a hitherto overlooked methodology for examining the extent to which provider cultural competency ratings reflect characteristics of providers, differences among perceivers, and also idiosyncratic pairings of specific perceivers and providers. Second and third year medical residents rated four attending physicians for cultural competency when treating African-American patients. Using a Generalizability Theory approach, cultural competency ratings were shown to most substantially reflect unique perceiver and provider pairings (47.0% relationship effect). However, cultural competency also strongly reflected differences among resident raters in their tendency to perceive attending physicians as culturally competent, regardless of the characteristics of physicians (35.0% perceiver effect). Although cultural competency significantly reflected the characteristics of providers this effect was small (3.0% provider effect). This study demonstrates an overlooked methodological approach and suggests important new directions for conceptualizing theory and research.

Enacted support's links to negative affect and perceived support are more consistent with theory when social influences are isolated from trait influences.

Social support theory typically explains perceived support's link to mental health as reflecting the role of specific supportive actions (i.e., enacted support).Yet enacted support typically is not linked to mental health and perceived support as predicted by theory. The links are examined among enacted support, affect, and perceived support when links reflected (a) aspects of support and affect that generalized across relationship partners and time (i.e., trait influences) and (b) aspects that reflected specific relationship partners (i.e., social influences). Multivariate generalizability analyses indicated that enacted support was linked to low negative affect as predicted by theory only when correlations reflected social influences. When correlations reflected trait influences, enacted support was linked to high negative affect. Furthermore, perceived and enacted support were strongly linked when correlations reflected social influences but not trait influences. Thus, findings for enacted support fit social support theory better when social influences were isolated from trait influences.

Individuals and illnesses as sources of perceived preventability.

Perceived preventability of illness is an important predictor of health behaviour and response to illness. Yet, health experts remain largely unaware of the extent to which preventability attributions reflect characteristics of persons, illnesses and their interaction. Quantifying the sources of variance that compose illness preventability attributions may be especially useful for designing effective preventative health interventions. In the present study, we used generalisability theory to examine the sources of variance in illness preventability attributions. Undergraduate college students (N = 44) rated the personal preventability of 12 well-known physical illnesses. Preventability attributions were shown to most substantially reflect characteristics of illnesses (57.5% target effect). However, preventability attributions also strongly reflected interactions of individuals and illnesses (26.0% relationship effect). Characteristics of individuals were also significant, although they explained a relatively smaller amount of variance (7.1% perceiver effect). In general, these results suggest new directions for conceptualising theory and research on perceived preventability of illness.

Trait and social influences in the links among adolescent attachment, depressive symptoms, and coping.

Attachment insecurity and maladaptive coping are associated with depression in adolescence; however, it is unclear whether these links primarily reflect stable individual differences among teens (trait influences), experiential differences in their interactions with relationship partners (social influences) or both. In this study, teens (ages 14-18; N = 150) completed questionnaires to assess their attachment security, depressive symptoms, and coping strategies with different attachment figures. Measures were completed three times, based on experiences with a maternal figure, paternal figure, and closest peer. Generalizability analyses were used to separate each construct into trait and social influence components. Next, multivariate g correlations were computed to examine the correlations among the constructs for the trait component as well as the social component. Correlation magnitudes differed depending on whether the trait or social influence components were examined.

Links among attachment dimensions, affect, the self, and perceived support for broadly generalized attachment styles and specific bonds.

Measures of adult attachment reflect both respondents' broadly generalized styles as well as bonds with specific attachment figures. Using Cronbach, Gleser, Nanda, and Rajaratnam's (1972) Multivariate Generalizability analyses, the authors estimated the extent to which correlations among attachment, affect, the self, and perceived social support occurred for both styles and bonds. In two studies, participants rated attachment, affect, the self, and perceived support when thinking about their mothers, fathers, and romantic partners. In both studies, attachment dimensions reflected specific bonds much more so than generalized styles. When correlations reflected specific bonds, both anxious and avoidant dimensions were strongly linked to high negative affect, low positive affect, and low perceived support. In contrast, evidence for links between attachment and affect was inconclusive when correlations reflected generalized styles. Links between attachment and the self depended on the type of self-construct and whether styles or bonds were analyzed.

Trait and social processes in the link between social support and affect: an experimental, laboratory investigation.

This study investigated the extent to which the link between perceived social support and affect reflected support recipients' trait perceived support as well as three distinct social processes: the objective supportiveness of providers, the unique relationships among recipients and providers that were stable over occasions, as well as the unique relationships that varied across occasions. Ten recipients interacted with each of the same four providers on five separate occasions, for a total of 200 interactions. Recipients and independent observers rated recipient affect and provider support. Greater perceived support was related to greater positive affect for recipients' trait perceived support, as well as for relationships that were stable over occasions and relationships that varied across occasions. No social support effects were found for negative affect. Perceived similarity was a consistent predictor of recipients' support perceptions. Implications for social support models and interventions were discussed.

Recipient-provider agreement on enacted support, perceived support, and provider personality.

This study examined agreement between recipients and providers about social support and personality. One hundred daughter caregivers of a parent with Alzheimer's disease and each caregiver's most important support provider independently reported supportive behaviors provided to caregivers, the perceived supportiveness of the provider, and providers' personality traits. For all indices, agreement was higher for enacted support than for perceived support and personality, which were similar to each other for some, but not all, indices of agreement. These findings support the validity of measures of enacted and perceived support.

The relative contribution of trait and social influences to the links among perceived social support, affect, and self-esteem.

Although perceived support is influenced by both the personality traits of support recipients as well as various social factors, it is unknown to what extent these two types of influences account for perceived support's link to mental health. We investigated these relations using multivariate generalizability analyses. In three samples, both the trait and social influence components of perceived support were related to favorable affect and to self-esteem. The magnitude of the correlations between perceived support and mental health was similar for both the trait and social influence components. Similar findings were obtained for social conflict, although the links between conflict and mental health varied somewhat depending upon the level of analysis. These findings suggest that social support theories and interventions should include both trait and social mechanisms to explain and modify perceived support and mental health.