Dyadic Coping in Couple Therapy Process: An Exploratory Study

This study aimed at moving beyond previous research on couple therapy efficacy by examining moment‐by‐moment proximal couple and therapist interactions as well as final treatment outcomes and their reciprocal association. Seven hundred four episodes of dyadic coping within 56 early therapy sessions, taken from 28 married couples in treatment, were intensively analyzed and processed using a mixed‐methods software (T‐LAB). Results showed that negative dyadic coping was self‐perpetuating, and therapists tended to passively observe the negative couple interaction; on the contrary, positive dyadic coping appeared to require a therapist's intervention to be maintained, and successful interventions mainly included information gathering as well as interpreting. Couples who dropped out of treatment were not actively engaged from the outset of therapy, and they used more negative dyadic coping, whereas couples who successfully completed treatment showed more positive dyadic coping very early in therapy. Results highlight the role of therapist action and control as critical to establishing rapport and credibility in couple therapy and suggest that dyadic coping patterns early in therapy may contribute to variable treatment response.     

Through neural stimulation to behavior manipulation: a novel method for analyzing dynamical cognitive models

The dynamical systems' approach to cognition (Dynamicism) promises computational models that effectively embed cognitive processing within its more natural behavioral context. Dynamical cognitive models also pose difficult, analytical challenges, which motivate the development of new analytical methodology. We start by illustrating the challenge by applying two conventional analytical methods to a well-known Dynamicist model of categorical perception. We then introduce our own analysis, which works by analogy with neural stimulation methods, and which yields some novel insights into the way the model works. We then extend and apply the method to a second Dynamicist model, which captures the key psychophysical trends that emerge when humans and animals compare two numbers. The results of the analysis-which reveals units with tuning functions that are monotonically related to the magnitudes of the numbers that the agents must compare-offer a clear contribution to the contentious debate concerning the way number information is encoded in the brain.     

A Dyadic Analysis of the Between‐ and Within‐System Alliances on Distress

To read this article's abstract in both Spanish and Mandarin Chinese, please visit the article's full‐text page on Wiley InterScience ( http://interscience.wiley.com/journal/famp ). This study examines the relationship between the therapeutic alliance and distress using the couple rather than the individual as the unit of analysis. One hundred and seventy‐three couples receiving treatment for relational distress at two university clinics participated in this study. The actor–partner interdependence model was used to analyze the relationship of each partner's between‐ and within‐system alliance scores and distress at session four. Results provide support for actor effects on relational distress for both male and female partners and for actor effects on psychological distress for female partners. Limited support was found for partner effects on distress. Furthermore, results indicate that the alliance between partners is a stronger predictor of improvement in early sessions in comparison with the alliance between the individual and the therapist.     

Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) – A Method for Quantifying Correlation between Multivariate Time-Series

In this paper, Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) is introduced. It is an extension of Multidimensional Recurrence Quantification Analysis (MdRQA), which allows to quantify the (auto-)recurrence properties of a single multidimensional time-series. MdCRQA extends MdRQA to bi-variate cases to allow for the quantification of the co-evolution of two multidimensional time-series. Moreover, it is shown how a Diagonal Cross-Recurrence Profile (DCRP) can be computed from the MdCRQA output that allows to capture time-lagged coupling between two multidimensional time-series. The core concepts of these analyses are described, as well as practical aspects of their application. In the supplementary materials to this paper, implementations of MdCRQA and the DCRP as MatLab- and R-functions are provided.     

Withdrawal Aversion and the Equivalence Test

If a doctor is trying to decide whether or not to provide a medical treatment, does it matter ethically whether that treatment has already been started? Health professionals sometimes find it harder to stop a treatment (withdraw) than to refrain from starting the treatment (withhold). But does that feeling correspond to an ethical difference? In this article, we defend equivalence—the view that withholding and withdrawal of treatment are ethically equivalent when all other factors are equal. We argue that preference for withholding over withdrawal could represent a form of cognitive bias—withdrawal aversion. Nevertheless, we consider whether there could be circumstances in which there is a moral difference. We identify four examples of conditional nonequivalence. Finally, we reflect on the moral significance of diverging intuitions and the implications for policy. We propose a set of practical strategies for helping to reduce bias in end-of-life decision making, including the equivalence test.     

Young driver distraction by text messaging: A comparison of the effects of reading and typing text messages in Chinese versus English

BackgroundReading and typing text messages while driving seriously impairs driving performance and are prohibited activities in many jurisdictions. Hong Kong is a bilingual society and many people write in both Chinese and English. As the input methods for text messaging in Chinese and English are considerably different, this study used a driving simulator approach to compare the effects of reading and typing Chinese and English text messages on driving performance.MethodThe driving performances of 26 participants were monitored under the following conditions: (1) no distraction, (2) reading and typing Chinese text messages, and (3) reading and typing English text messages. The following measures of driving performance were collected under all of the conditions: reaction time (RT), driving lane undulation (DLU), driving speed fluctuation (DSF), and car-following distance (CFD) between test and leading cars.ResultsRT, DLU, and DSF were significantly impaired by reading and typing both Chinese and English text messages. Moreover, typing text messages distracted drivers more than reading them. Although the Chinese text messaging input system is more complicated than the English system, the use of Chinese did not cause a significantly different degree of distraction.ConclusionBoth reading and typing text messages while driving should be prohibited regardless of whether Chinese or English is used.     

Non-verbal expressivity in alexithymia: A study on emoji use in text messaging across varying levels of alexithymia

The present study examined whether emoji use would be quantitatively and/or qualitatively altered in alexithymia. 646 individuals (Mean Age = 23.11, SD = 7.03; 424 Female) with varying levels of alexithymia took part in a series of vignettes where they were positioned as senders of hypothetical text messages. Participants were tasked to opt in or out of tagging an emoji onto positive and negative text messages. Emoji use frequency was diminished at the high end of the alexithymic continuum, relative to the middle and low spectrums. However, emoji for positive and negative text messages were used with similar patterns of frequency across alexithymic groups of varying severity, suggesting that emoji use is quantitatively but not qualitatively altered in alexithymia.     

Happy and unhappy adolescent bullies: Evidence for theoretically meaningful subgroups

Are all bullies unhappy and socially disconnected? The majority of theorists argue that bullies are a homogeneous group, such that their aggression is linked to less happiness and a greater probability of social exclusion. Recent findings, however, indicate some bullies obtain social benefits from the act of bullying, increasing their happiness. We sought to identify whether subgroups of bullies exist among 481 Chinese adolescents (mean age = 16.9, SD = 1.5) using self-report data on bullying, victimization, and various psychological and behavioral variables. Cluster analytic results identified four subgroups differentiated primarily by level of bullying, happiness, and perceived social connectedness. Subgroups included (1) happy, socially connected non-bullies (33.4%), (2) unhappy, socially disconnected non-bullies (26.9%), (3) unhappy, socially disconnected bullies (17.3%) and (4) happy, socially connected bullies (22.4%). These results suggest that, not only are some bullies happy and socially connected, but only a minority of bullies are unhappy and socially disconnected. Our findings offer unique insights into potential positive consequences of bullying that may differentiate subgroups of bullies. Such insights might inform existing and future anti-bullying interventions.