Loving and angry? Happy and sad? Understanding and reporting of mixed emotions in mother–child relationships by 6‐ to 12‐year‐olds

The Evaluative Space Model of emotions allows for the coactivation of positive‐appetitive and negative‐avoidant systems, but few studies have examined mixed emotions in child development. Existing research suggests children's understanding of opposite valence emotion combinations emerges by approximately 11 years of age. However, it is not yet clear whether various opposite valence combinations are understood at different ages, nor whether children can understand them in others before they have experienced such mixed emotions themselves. Semi‐structured interviews with 97 children investigated whether they regarded six combinations of opposite valence mixed emotions as possible, could provide reasons for them, and report their own experience of each in the context of mother–child relationships. Both understanding that such combinations are possible and ability to provide reasons for them increased after age 6 and up to age 11, but were still incomplete in 12‐year‐olds. Understanding of different opposite valence combinations developed at different rates. At each age, fewer children who showed understanding of these combinations in others reported having had a similar experience themselves. The findings suggest a need to systematically examine a range of mixed emotions in order to develop a comprehensive theory of the development of mixed emotion understanding. They also suggest extending research into adolescence.     

The Faulty Magnitude Detector: Why SNARC‐Like Tasks Cannot Support a Generalized Magnitude System

Do people represent space, time, number, and other conceptual domains using a generalized magnitude system (GMS)? To answer this question, numerous studies have used the spatial‐numerical association of response codes (SNARC) task and its variants. Yet, for a combination of reasons, SNARC‐like effects cannot provide evidence for a GMS, even in principle. Rather, these effects support a broader theory of how people use space metaphorically to scaffold their understanding of myriad non‐spatial domains, whether or not these domains exhibit variation in magnitude.     

Understanding cross-cultural sales manager–salesperson relationships in the Asia-Pacific Rim region: a grounded theory approach

Abstract

As more organizations implement multinational strategies, sales managers leading sales forces encounter complex cultural challenges that affect relationships, processes, and outcomes. We undertake a qualitative study with the objective of understanding the sales manager–salesperson relationship when the sales manager is leading sales representatives located in other cultures. Because of the significant size and growth of Asian countries, we focus our study on the Asia-Pacific Rim region. In-depth interviews conducted with 21 sales managers working for a large multinational technology firm in our focal region provide the data for our analysis. Using a grounded theory approach, we identify five key themes: building and sustaining cross-cultural relationships, cross-cultural communication effectiveness, acquisition and maintenance of trust across cultures, language, and decision-making. From our findings, research propositions are offered and implications for researchers and practitioners are discussed.     

繁殖群中婴幼川金丝猴社会关系发展的个案研究

使用瞬时取样法,对繁殖笼内出生的两只婴幼川金丝猴进行连续22个月的行为记录。结果表明,川金丝猴婴猴断乳大约在19—20月龄;断乳表现为母婴之间矛盾冲突的过程;群内其他雌性对初生婴儿表现出明显的抢婴、护婴和育婴行为;父亲对婴幼猴表现出接纳和容忍的态度;婴儿在断乳前是群内全体成员保护和爱护的对象,以后开始进入社会关系网,受到成年个体的责备,但很轻微;雌性幼猴在32月龄时尚未被记录到对群内成员表现威胁、蜷缩和匍伏等行为模式。     

Determination of a behavioral transfer function: White-noise analysis of session-to-session response-ratio dynamics on concurrent VI VI schedules

Six pigeons were exposed to concurrent variable-interval schedules in which the programmed reinforcer ratios changed from session to session according to a pseudorandom binary sequence. This procedure corresponded to the stochastic identification paradigm (“white-noise experiment”) of systems theory and enabled the relation between log response ratios in the current session and log reinforcer ratios in all previous sessions to be determined. Such dynamic relations are called linear transfer functions. Both nonparametric and parametric representations of these, in the form of “impulse-response functions,” were determined for each bird. The session-to-session response ratios resulting from the session-to-session pseudorandom binary variations in reinforcer ratios were well predicted by the impulse-response functions identified for each pigeon. The impulse-response functions were well fitted by a second-order dynamic model involving only two parameters: a time constant and a gain. The mean time constant was 0.67 sessions, implying that the effects of abrupt changes in log reinforcer ratios should be 96% complete within about five sessions. The mean gain was 0.53, which was surprisingly low inasmuch as it should equal the sensitivity to reinforcement ratio observed under steady-state conditions. The same six pigeons were subjected to a similar experiment 10 months following the first. Despite individual differences in impulse-response functions between birds within each experiment, the impulse-response functions determined from the two experiments were essentially the same.     

Time reallocation in a multiresponse environment: Effects of restricting response classes

Four adult male rats were each placed for three hours daily into an apparatus that provided individual compartments for six separate location-defined responses. The available responses consisted of: (1) the opportunity to turn off room lighting, producing darkness; (2) the opportunity to view a female rat; (3) the opportunity to turn off white noise; (4) the opportunity to drink; (5) the opportunity to eat; and (6) "other," representing time in the hallway between compartments. Each subject underwent a series of conditions characterized as an A-B-A-C-A design. Manipulations consisted of the removal of a low-probability response (darkness) and of a high-probability response (escape from noise) in a counter-balanced manner across subjects. The dependent measure for all subjects was the percentage of total session time spent in each compartment. Four predictive rules concerning the redistribution of behavior after response restriction were tested, including the constant-ratio rule, equal time redistribution, the most probable alternative, and the sequential-dependency rule. The results indicate no support for any of the four predictive rules and suggest that empirical assessment of restriction effects is necessary in reinforcement studies involving temporally extended responses.     

The roles of self-regulation and partner regulation on romantic relationship quality

Research into self-regulation and partner regulation strategies has largely involved parallel lines of research, thus, it is difficult to determine the relative contribution of both forms of regulation when it comes to relationship outcomes. Therefore, the question remains as to which form of regulation is more strongly associated with relationship quality; is it more important to focus on adaptive self-regulation or adaptive strategies to regulate one's partner? The current research addresses this important gap by comparing the relative associations of adaptive self-regulation and adaptive partner regulation strategies on romantic relationship quality. A community sample of mixed gender couples (N = 114) who were predominantly satisfied with their current relationships – but nonetheless still experienced relationship conflict – were administered self-report assessments of various self-regulation and partner regulation strategies as well as a measure of relationship quality. Couples also participated in a videotaped discussion of an unresolved relationship issue that was scored by trained coders for verbal and nonverbal indicators of self-regulation and partner regulation strategies. Actor–partner interdependence modeling revealed that for both men and women, adaptive self-regulation strategies were positively associated with their own evaluations of relationship quality as well as their partner's relationship quality. In contrast, engaging in adaptive partner regulation strategies was not significantly associated with men's or women's own, or their partner's relationship quality. Findings highlight the importance of focusing on self-regulation in relationships, as it is these strategies, over partner regulation strategies, that have more positive implications for the relationship quality experienced by typically satisfied couples.     

The intergenerational transmission of relationship instability: A focus on emerging adult on-off relationships

This study extends prior research on the intergenerational transmission of relationship instability by examining parents' history of on-off relationships as a predictor of emerging adults' own cycling (i.e., breaking up and renewing with the same romantic partner). Data were collected at a large mid-western university from 702 emerging adults (18–25 years old). Multinomial logistic regression was used to predict the likelihood that participants had cycled in a past or current relationship. Results show that parental cycling increased the likelihood of offspring cycling in a past or current relationship relative to never cycling, and greater uncertainty about the future of the relationship was a mechanism through which such transmission occurred. Findings from this study demonstrate that parental relationship instability can even be consequential for the transient relationships within emerging adulthood, making family history a productive area to explore for practitioners working with cyclical partners and/or emerging adults.     

Taking stock of the longitudinal study of romantic couple relationships: The last 20 years

Longitudinal dyadic research provides significant benefits for our understanding of romantic couple relationships. In this systematic review, we begin by providing a broad overview of topical trends and approaches in longitudinal couple relationships research from 2002 through 2021. Then, we narrow our review to dyadic relationship quality articles, highlighting key themes as well as noting important gaps in the research. Using an intersectional perspective that acknowledges multiple ways that disadvantage, power, and oppression may be seen in both research and in couples' lived experience, we note prominent paradigms used in examining couple relationships, what types of questions have been most valued, and what groups and approaches are underrepresented in the literature. Most longitudinal couple relationships research is quantitative, relies on self-report approaches from American couples in the early-to-middle years of their relationships, concentrates more on negative aspects of relationships than positives, and takes a communication-satisfaction paradigm in studying couples. We see a clear need to increase the use of methodologies beyond self-report measures, conduct more studies with within-group minority, older adult, culturally-diverse, and context-specific samples to explore the diversity of relationships, and fully consider both strengths and positive processes in relationships as well as the challenges couples experience.     

“What matters to us”: The portrait values questionnaire to measure couple values

No previous studies have analyzed values as qualities of relational microsystems, such as the romantic couple. Based on Schwartz's Theory of Human Values, this study examines the psychometric properties of the Portrait Couple Values Questionnaire (PCVQ). It measures four couple value dimensions: conservation, openness to change, self-enhancement, and self-transcendence. Five hundred and forty-six Italian respondents (54.1% women), aged 41.52 years (SD = 7.19; range 23–63) and having a couple relationship, have filled in an anonymous online questionnaire. The results show the good psychometric properties of the PCVQ. The Confirmatory Factor Analysis Magnifying Glass Strategy shows good indexes of fit for each value dimension, except for the Root Mean Square Error of Approximation (RMSEA) for openness to change, thus confirming that the PCVQ measures the four values with satisfactory internal consistency. The Multidimensional Scaling results, by showing a Stress-1 index of 0.07, confirm the circular structure of values because the four value dimensions are in the position predicted by Schwartz's model. Participants' personal and couple values are highly but not perfectly correlated, suggesting that couple values are a related but distinct construct compared to personal values. This study's contribution lies in introducing an innovative construct into the literature on values and couples, proposing a scale to assess it.