Integrative Complexity Coding Raises Integratively Complex Issues

Conway, Conway, Gornick, and Houck (2014) report a major effort to automate integrative complexity coding. Judging this effort requires researchers to be more explicit in articulating key methodological assumptions about the coding process and theoretical assumptions about the construct. Unresolved issues include: (1) when, and on what basis, we should attribute divergences between human coders and algorithms to overestimations or underestimations by one or the other approach; and (2) to what extent second‐generation algorithms can yield Pareto improvements that reduce errors of both underestimation and overestimation. Further progress in developing natural language processing measures of this cognitive style will require sharper definitions of target constructs: in particular, different types of differentiation (dialectical and elaborative) and integration (hierarchical and flexible) and clearer guidelines for factoring context into assessments.     

From Resistance to Buy-In: Experiences of Clinicians in Training Using Feedback-Informed Treatment

In this qualitative research study, the authors use grounded theory analysis to examine the experiences of clinicians in training and use client feedback to inform treatment. Twenty-six marriage and family therapy graduate students in their first or second semester of clinical practicum participated in this study. Participants were trained in eliciting and responding to client feedback at the end of every therapy session. At the end of the semester, participants reflected on their learning experience. Participant experiences reflected a developmental learning process beginning with significant challenges followed by positive clinical changes and positive clinician changes, culminating in overall buy-in regarding the importance of client feedback for nearly all clinicians. The results support the literature that client feedback directly informs the therapeutic process while suggesting important recommendations for training new clinicians in learning to use client feedback.     

Establishment and replication of emotion regulation profiles: implications for psychological health

Background and Objectives: A promising method of capturing the complex nature of emotion regulation is to assess composite profiles of regulation (i.e., default pattern of regulation across multiple strategies). However, it remains unclear whether regulatory profiles demonstrate consistency across samples and in relation to mental health. Design: Two studies are presented here. Both utilized a cross-sectional design, and the second study presents a replication of the first. Method: Both studies utilized self-report data from independent undergraduate samples to perform latent profile analyses of emotion regulation use. Results: Studies 1 and 2 demonstrated evidence for four replicable regulatory profiles: Adaptive, Accepting (with or without Suppression), Non-accepting, and Maladaptive. Profiles were also related to symptoms of depression and anxiety, such that those consistently relying on adaptive strategies reported lower symptoms than those relying more heavily on maladaptive strategies. Conclusions: These findings clarify previous work which tied regulatory profiles to psychological health by extending a person-centered approach to understanding the ways in which individuals regulate their emotions.     

Supporting Integrity of Discrete Trial Teaching via Tiered Consultation: A Pilot Study

Empirically supported consultation procedures for supporting implementation of evidence-based interventions for Autism Spectrum Disorder (ASD), such as performance feedback, may be challenging to implement in public schools. Educators may find performance feedback aversive, and support personnel may find its directiveness incompatible with their professional roles. This pilot study extends recent advances in implementation science, by investigating the influence of tiered consultation on intervention integrity of Discrete Trial Teaching (DTT). A less intensive form of implementation support was examined for its feasibility and effectiveness. Collaborative Student Data Review (CSDR) includes discussion, general feedback, and modeling. Preliminary findings indicate that CSDR is a feasible and acceptable form of implementation support, and that it shows potential as a form of implementation support for DTT.     

Behavioral skills training in scent detection research: Interactions between trainer and animal behavior

Animal trainers working in scent detection programs are responsible for arranging training contingencies as well as for observing and recording animal behavior. We provided behavioral skills training (BST) to animal trainers working with scent detection rats to improve the treatment integrity of scent‐detection research sessions. We evaluated the trainers' behavior at baseline and during the sequential introduction of each component of BST (instructions, modeling, and feedback). We observed incremental improvements in treatment integrity with the introduction of each BST component. Posttraining probes revealed that these improvements were sustained at least 3 weeks post‐BST. As the trainers' behavior was modified during BST, we observed decrements in measures of rat performance. We discuss the nature of these interactions and their implications for the use of BST in scent detection research and in situations in which intervention with one party produces concomitant effects on the behavior of another.     

医疗广告影响公众就医行为的心理探析

利用耗散结构理论自组织概念来分析中医对病情的描述、诊断及治疗方法。先用伯纳德(Bénard)涡流概念来说明自组织耗散结构一般性质。再通过一个病案表明自组织概念与中医诊疗手段的一致性。自组织概念为研究中医提供了有力的数学工具。     

Mental Models: An Alternative Evaluation of a Sensemaking Approach to Ethics Instruction

In spite of the wide variety of approaches to ethics training it is still debatable which approach has the highest potential to enhance professionals' integrity. The current effort assesses a novel curriculum that focuses on metacognitive reasoning strategies researchers use when making sense of day-to-day professional practices that have ethical implications. The evaluated trainings effectiveness was assessed by examining five key sensemaking processes, such as framing, emotion regulation, forecasting, self-reflection, and information integration that experts and novices apply in ethical decision-making. Mental models of trained and untrained graduate students, as well as faculty, working in the field of physical sciences were compared using a think-aloud protocol 6 months following the ethics training. Evaluation and comparison of the mental models of participants provided further validation evidence for sensemaking training. Specifically, it was found that trained students applied metacognitive reasoning strategies learned during training in their ethical decision-making that resulted in complex mental models focused on the objective assessment of the situation. Mental models of faculty and untrained students were externally-driven with a heavy focus on autobiographical processes. The study shows that sensemaking training has a potential to induce shifts in researchers' mental models by making them more cognitively complex via the use of metacognitive reasoning strategies. Furthermore, field experts may benefit from sensemaking training to improve their ethical decision-making framework in highly complex, novel, and ambiguous situations.