Structural equation models for interchangeable dyads: being the same makes a difference

Structural equation modeling (SEM) offers a flexible method for studying the patterns of interdependence in partners' behavior, which lie at the heart of interactions and relationships. Although SEM has been applied to the study of distinguishable dyads, in which partners are distinguishable by type, such as male and female, it has rarely been applied to the study of interchangeable dyads, such as male-male or female-female pairs. The authors integrate a wide range of dyadic interdependence models--including actor-partner interdependence models, mutual-influence models, and common-fate or dyadic personality models--into an SEM framework for use with interchangeable dyads. The authors also address the use of latent variables at both the dyadic and individual levels, whereby substantive relationships in these models can be corrected for errors of measurement. Furthermore, the authors discuss the conceptual underpinnings of dyadic models and give examples of their application.     

Dyadic Listening in Teams: Social Relations Model

Listening has powerful organizational consequences. However, studies of listening have typically focused on individual level processes. Alternatively, we hypothesized that perceptions of listening quality are inherently dyadic, positively reciprocated in dyads, and are correlated positively with intimacy, speaking ability, and helping-organizational-citizenship behavior, at the dyadic level. In two studies, teammates rated each other on listening and intimacy; in one, they also rated speaking ability, and helping-organizational-citizenship behavior, totaling 324 and 526 dyadic ratings, respectively. In both studies, social relations modeling suggested that the dyad level explained over 40 percent of the variance in both listening and intimacy, and yielded the predicted positive dyadic reciprocities. Furthermore, as predicted, listening perceptions correlated with intimacy, speaking ability, and helping behavior as reported by other workers, primarily at the dyadic level. Moreover, rating of listening, but not of speaking, by one dyad member, predicted intimacy reported by the other dyad member, and that intimacy, in turn, predicted helping-organizational-citizenship behavior. Counterintuitively, listening quality is more a product of the unique combination of employees than an individual difference construct. We conclude that perceived listening, but not perceived speaking, appears to be the glue that binds teammates to each other dyadically, and consequently affects helping.     

Dyadic measurement invariance and its importance for replicability in romantic relationship science

Comparisons of group means, variances, correlations, and/or regression slopes involving psychological variables rely on an assumption of measurement invariance—that the latent variables under investigation have equivalent meaning and measurement across group. When measures are noninvariant, replicability suffers, as comparisons are either conceptually meaningless, or hindered by inflated Type I error rates. We propose that the failure to account for interdependence among dyad members when testing measurement invariance may be a potential source of unreplicable findings in relationship research. We developed fully dyadic versions of invariance models, created an R package (dySEM) to make specifying dyadic invariance models easier and reporting more reproducible, and executed a Registered Report for gauging the extent of dyadic (non)invariance in romantic relationship research across measures of relationship well‐being, personality, and sexuality in a sample of 282 heterosexual couples. We found that although a number of popular measures display good evidence of dyadic invariance, a few display concerning levels and interesting patterns of noninvariance, while others appeared either noninvariant or poorly fitting for both men and women. We discuss our findings in terms of their meaning for the replicability dyadic close relationship research. We close by arguing that increased theorizing and research on dyadic invariance, and inclusive methods for analyzing invariance with indistinguishable dyads, are needed to capitalize on the opportunity to advance our field's understanding of dyadic constructions of relational concepts.     

Male/Female Gaze in Same-Sex and Mixed-Sex Dyads Gender-Linked Differences and Mutual Influence

In this study, 108 university students (54 men and 54 women) were each videotaped in two 8-minute problem-solving dyadic interactions: (1) same-sex, and (2) mixed-sex. Trained observers coded the interactions for simultaneous, moment-to-moment gaze and talk behavior of both interactants. MANOVA results for three dyad types (male/male, female/female, and male/female) measured on 10 dyad gaze/talk variables showed that F/F dyads exhibited more mutual gaze/mutual talk and mutual gaze/mutual silence than either M/M or M/F dyads. F/F dyads exhibited less one gazes/same talks and mutual avert/one talks than either M/M or M/F dyads. No differences were found between M/M and M/F dyads on any variable. Analyses of individual change scores from same-sex to mixed-sex dyads indicated that the women in the M/F dyads converged to the male behavior in that dyad condition, whereas the men remained unchanged. The results are discussed in terms of speech accommodation theory.     

A Dyadic Perspective on Speech Accommodation and Social Connection: Both Partners' Rejection Sensitivity Matters

Findings from confederate paradigms predict that mimicry is an adaptive route to social connection for rejection‐sensitive individuals (Lakin, Chartrand, & Arkin, 2008). However, dyadic perspectives predict that whether mimicry leads to perceived connection depends on the rejection sensitivity (RS) of both partners in an interaction. We investigated these predictions in 50 college women who completed a dyadic cooperative task in which members were matched or mismatched in being dispositionally high or low in RS. We used a psycholinguistics paradigm to assess, through independent listeners' judgments (N = 162), how much interacting individuals accommodate phonetic aspects of their speech toward each other. Results confirmed predictions from confederate paradigms in matched RS dyads. However, mismatched dyads showed an asymmetry in levels of accommodation and perceived connection: Those high in RS accommodated more than their low‐RS partner but emerged feeling less connected. Mediational analyses indicated that low‐RS individuals' nonaccommodation in mismatched dyads helped explain their high‐RS partners' relatively low perceived connection to them. Establishing whether mimicry is an adaptive route to social connection requires analyzing mimicry as a dyadic process influenced by the needs of each dyad member.     

An Idiographic Approach to Estimating Models of Dyadic Interactions with Differential Equations

We present an idiographic approach to modeling dyadic interactions using differential equations. Using data representing daily affect ratings from romantic relationships, we examined several models conceptualizing different types of dyadic interactions. We fitted each model to each of the dyads and the resulting AICc values were used to classify the most likely configuration of interaction for each dyad. Additionally, the AICc from the different models were used in parameter averaging across models. Averaged parameters were used in models involving predictors of relationship dynamics, as indexed by these parameters, as well as models wherein the parameters predicted distal outcomes of the dyads such as relationship satisfaction and status. Results indicated that, within our sample, the most likely interaction style was that of independence, without evidence of emotional interrelations between the two individuals in the couple. Attachment-related avoidance and anxiety showed significant relations with model parameters, such that ideal levels of affect for males were negatively influenced by higher levels of avoidance from their partner while their own levels of anxiety had positive effects on their levels of dyadic coregulation. For females coregulation was negatively influenced by both time in the relationship and their partner’s level of avoidance. Analysis involving distal outcomes showed modest influences from the individual’s level of ideal affect.     

Intimacy and liking: mutual influence and the role of unique relationships

Traditional assumptions (e.g., there are traitlike differences in disclosure) predict that people who are generally liked should generally disclose (e.g., individual-level effects). In contrast, dynamic interactional models predict that significant disclosure-liking effects are apt to be a function of mutual influences in particular dyads (e.g., dyadic-level effects). To directly explore these issues and separately examine individual and dyadic effects, 45 sorority women were asked to indicate how much they disclosed to, received disclosure from, and liked each other. Social relations analysis (Kenny & LaVoie, 1984) revealed significant disclosure-liking effects only at the dyadic level, casting doubts on traditional assumptions and supporting a dynamic interaction model of disclosure-liking effects. Implications for personality and interpersonal relationships are discussed.     

Giving dyadic data analysis away: A user‐friendly app for actor–partner interdependence models

The actor–partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dyadic research has become immensely popular, its statistical complexity can be a barrier. To remedy this, a free user‐friendly web application, called APIM_SEM, has been developed. This app automatically performs the statistical analyses (i.e., structural equation modeling) of both simple and complex APIMs. It allows the researcher to analyze distinguishable or indistinguishable dyads, to examine dyadic patterns, to estimate actor and partner effects of one or two predictors, and to control for covariates. Results are provided in software and text format, complemented by summary tables and figures. As an illustration, the effect of perception of the partner on satisfaction is assessed by fitting APIMs with varying complexity.     

Analyzing the Dynamics of Affective Dyadic Interactions Using Patterns of Intra- and Interindividual Variability

There are many compelling accounts of the ways in which the emotions of 1 member of a romantic relationship should influence and be influenced by the partner. However, there are relatively few methodological tools available for representing the alleged complexity of dyad level emotional experiences. In this article, we present an algorithm for examining such affective dynamics based on patterns of variability. The algorithm identifies periods of stability based on length of time and amplitude of emotional fluctuations. The patterns of variability and stability are quantified at the individual and dyadic level, and the approach is illustrated using data of the daily emotional experiences of individuals in romantic couples. With this technique, we examine the fluctuations of the emotions for each person and inspect the overlap fluctuations between both individuals in the dyad. The individual and dyadic indices of variability are then used to predict the status of the dyads (i.e., together, apart) 1 year later.     

The effect of nonindependence on significance testing in dyadic research

Relationship researchers regularly gather data from both members of the dyad, and these two scores are likely to be correlated. This nonindependence of observations can bias p values in significance testing if person is the unit in the statistical analysis. A method for determining how much bias results from dyadic interdependence is presented. Correction factors based on the degree of interdependence, design type, and the number of dyads are used to adjust the F statistic and its degrees of freedom to produce a corrected p value. Bias depends on the type of design and the degree of nonindependence, while the number of dyads in the study ordinarily has only a small effect on bias. Various strategies for controlling for nonindependence are briefly reviewed.     

Dyadic judgments based on conflicting samples: The failure to ignore invalid input

The present research demonstrates a so far unrecognized impediment of group performance, metacognitive myopia (Fiedler, 2012). Judges and decision-makers follow the given samples of information uncritically and neglect the metacognitive assessment of the samples' validity. Applying this notion to dyadic judgments, we instructed dyads to jointly estimate conditional probabilities p (Win|A) and p (Win|B) of Lotteries A and B. One person per dyad experienced a valid sample (winning rates conditional on lotteries). The other person experienced an invalid, reverse sample (lotteries conditional on winning). Whereas valid samples provide unbiased estimates of lotteries' winning probabilities, invalid samples can greatly misrepresent the association of winning and lotteries (depending on lottery base rates). Across three experiments, metacognitive myopia—both at the individual and at the dyadic group level—prevented participants from discriminating valid and invalid samples. Group judgments were biased toward erroneous implications of invalid samples, reflecting an equality bias among unequal group members.     

MAINTENANCE FACTORS IN COERCIVE MOTHER-CHILD INTERACTIONS: THE COMPLIANCE AND PREDICTABILITY HYPOTHESES

Two stimulus control processes by which some parent-child dyads occasionally escalate their aversive exchanges into progressively more coercive interactions are described. The compliance hypothesis suggests that aversive actions have instructional properties for the dyad and that parent compliance with such child instructions maintains behavior chains of increasing aversiveness. The predictability hypothesis suggests that social interactions are most likely to function as aversive stimuli in the dyad when delivered in unpredictable fashion by either party and that responses instrumental in reducing dyadic unpredictability maintain aversive behavior chains. Expectations derived from both hypotheses are evaluated in a series of correlational analyses of mother-child interactions obtained in extended baseline observations of three dyads seeking psychological help for severe interactional problems. Results provide tentative support for the predictability hypothesis and suggest important avenues of further research.     

Wisdom of the social versus non-social crowd in face identification

Face identification is more accurate when people collaborate in social dyads than when they work alone (Dowsett & Burton, 2015, Br. J. Psychol., 106, 433). Identification accuracy is also increased when the responses of two people are averaged for each item to create a ‘non-social’ dyad (White, Burton, Kemp, & Jenkins, 2013, Appl. Cogn. Psychol., 27, 769; White et al., 2015, Proc. R. Soc. B Biol. Sci., 282, 20151292). Does social collaboration add to the benefits of response averaging for face identification? We compared individuals, social dyads, and non-social dyads on an unfamiliar face identity-matching test. We also simulated non-social collaborations for larger groups of people. Individuals and social dyads judged whether face image pairs depicted the same- or different identities, responding on a 5-point certainty scale. Non-social dyads were constructed by averaging the responses of paired individuals. Both social and non-social dyads were more accurate than individuals. There was no advantage for social over non-social dyads. For larger non-social groups, performance peaked at near perfection with a crowd size of eight participants. We tested three computational models of social collaboration and found that social dyad performance was predicted by the decision of the more accurate partner. We conclude that social interaction does not bolster accuracy for unfamiliar face identity matching in dyads beyond what can be achieved by averaging judgements.     

Dyadic Power Profiles: Power‐Contingent Strategies for Value Creation in Negotiation

Using a simulated employment negotiation, we tested the conditional relationships among dyadic power profiles (symmetric high, symmetric low, and asymmetric), the choice and sequencing of strategies, and value creation. We showed that negotiators in symmetric high, symmetric low, and asymmetric power dyads took distinctly different paths to value creation. Value creation was associated with increased mutual accommodation in high‐power dyads but with increased contentiousness in low‐power dyads. Asymmetric power dyads maximized value creation when they adopted a neutral stance, neither overusing nor underusing any one strategy. Although strategy use was a better predictor of value creation than strategy sequencing, sequences played an increasingly important role in value creation as the level of total power within the negotiation increased.     

The dyadic nature of social information processing in boys' reactive and proactive aggression

The correlation between boys' social cognitions and their aggressive behavior toward peers was examined as being actor driven, partner driven, or dyadic relationship driven. Eleven groups of 6 familiar boys each (N = 165 dyads) met for 5 consecutive days to participate in play sessions and social-cognitive interviews. With a variance partitioning procedure, boys' social-cognitive processes were found to vary reliably across their dyadic relationships. Furthermore, mixed models regression analyses indicated that hostile attributional biases toward a particular peer were related to directly observed reactive aggression toward that peer even after controlling for actor and partner effects, suggesting that these phenomena are dyadic or relationship oriented. On the other hand, the relation between outcome expectancies for aggression and the display of proactive aggression appeared to be more actor driven and partner driven that dyadic.     

Coping rarely takes place in a social vacuum: Exploring antecedents and outcomes of dyadic coping in coach-athlete relationships

ObjectivesDespite widespread acceptance that coping is an interpersonal phenomenon, sport psychology research has focused largely on athletes' and coaches’ ways of coping individually. The aim of this study was to qualitatively explore coping from an interpersonal perspective (i.e., dyadic coping) in coach-athlete relationships.Methodology and methodsAntecedents and outcomes of dyadic coping were discussed with five coach-athlete dyads. We conducted individual interviews with athletes and coaches and then one interview with each coach-athlete dyad. Interviews were analyzed using dyadic analysis and composite vignettes were created to present the data. Methodological rigor was enhanced by focusing on credibility, resonance, rich rigor, significant contribution, and meaningful coherence.ResultsFive themes were identified. These represented the essence of dyadic coping (theme: the essence of dyadic coping), antecedents of dyadic coping (themes: lock and key fit, friendship and trust, communication of the stressor), and outcomes of dyadic coping (theme: protection and support). The first theme captures coaches' and athletes’ understanding of dyadic coping. The antecedent themes represent the factors that were necessary for dyadic coping to occur. Protection and support relates to the positive nurturing environment that was discussed as an outcome of dyadic coping.ConclusionThe results extend published research by exploring antecedents and outcomes of dyadic coping in sport. The findings highlight that dyadic coping was prevalent in coach-athlete relationships when various antecedents (lock and key fit, friendship and trust, communication of the stressor) existed. Protection and support were pertinent outcomes of dyadic coping that contributed to personal and relationship growth.     

Beyond the Individual: Sources of Attitudes Towards Rule Violation in Sport

Today, certain rule-violating behaviours, such as doping, are considered to be an issue of concern for the sport community. This paper underlines and examines the affective dimensions involved in moral responses to, and attitudes towards, rule-violating behaviours in sport. The key role played by affective processes underlying individual-level moral judgement has already been implicated by recent developments in moral psychological theories, and by neurophysiological studies. However, we propose and discuss the possibility of affective processes operating on a social level which may influence athletes' individual-level attitudes. We conclude that one-sided focus on individual rule-violating behaviour and individual sanctions may prove to be ineffective in coming to terms with the issue. In this regard we recommend a twofold approach by addressing underlying social dimensions, along with preventive measures through affect-oriented education.     

The relationship of attraction and sex composition to performance and nonperformance experimental outcomes in dyads

An experimental comparison of same- and mixed-sex dyads was conducted to investigate the relationship of interpersonal attraction and dyad sex composition to performance and nonperformance experimental outcomes. Ninety dyads each performed one verbal and one quantitative problem-solving task. Significant differences in speed of performance were found for dyad sex composition, but not for attraction. Attraction had its strongest impact on dyadic satisfaction, a non-performance outcome of the experiment. Among the all-female dyads racial composition of the dyad was significantly related to satisfaction: interracial dyads had higher levels of satisfaction than intraracial dyads. The results fail to demonstrate a significant association between attraction and performance, but do confirm that attraction and satisfaction are related, an assumption of the social exchange framework.The author wishes to thank Carl Castore, Angela M. O'Rand, and Mary Glenn Wiley for their comments and suggestions on an earlier draft of this article.     

Growth curve models for indistinguishable dyads using multilevel modeling and structural equation modeling: the case of adolescent twins' conflict with their mothers

Growth modeling is a useful tool for studying change over time, and it is becoming increasingly popular with developmental researchers. There is a considerable methodological literature surrounding growth modeling for individuals; however, far less attention has been focused on growth models for pairs of related individuals (i.e., dyads). In this article, the authors consider dyadic growth models for those cases where there are no relevant variables that can empirically distinguish between dyad members (e.g., same-sex twins or best friends). The authors describe how researchers can estimate growth models for indistinguishable dyads using both multilevel modeling and structural equation modeling. Although both approaches can be used to estimate the same underlying models, the authors focus on practical similarities and differences between the two approaches. They illustrate modeling issues using an overtime study of adolescent twins' conflict with their mothers, a substantively important topic given the enduring interest in parent-child relationships during adolescence.     

Decoding dyadic interactive nonverbal behaviour in Chinese and Australian cohorts: A novel dyadic puzzle‐solving task

The current study used a novel problem‐solving task in which the solution could only be reached via interactions between members of dyads. The study aimed to systematically examine how nonverbal interactive behaviour was related to the cultural background of the dyads, the participant's role in the dyad (viz., instructor, problem solver) and task repetition. Twenty‐one Australian dyads and 32 Chinese dyads performed the dyadic puzzle‐solving task while their interactions were video‐recorded. In each dyad, one instructor and one problem solver worked together to solve a seven‐piece puzzle. Six trials, each comprising a different puzzle, were completed. Results indicate that the Australian instructors engaged in significantly more eye gazing and displayed more hand gestures but smiled less than the Chinese instructors. The Australian problem solvers maintained longer eye gazing, displayed more hand gestures and more echoing than their Chinese counterparts. Over trials, the Chinese instructors reduced their total talking time, hand gestures, nodding behaviour and smiling during self‐talking more than the Australian instructors. Moreover, the problem solvers in the dyads from both countries significantly reduced their smiling across trials. The current study shows that nonverbal behaviours during dyadic interactions are related to one's cultural background, role in the task and task repetition.