Evaluating discrete trial teaching with instructive feedback delivered in a dyad arrangement via telehealth

Telehealth research in the field of applied behavior analysis (ABA) has focused on the training and supervision of others to implement various behavior analytic procedures. Current guidelines for practicing telehealth suggest that direct telehealth services may be appropriate for some individuals diagnosed with autism spectrum disorder, but more research is needed. This study evaluated the effects of discrete trial teaching with instructive feedback in a dyad arrangement delivered directly via telehealth to teach tact relations to 6 children diagnosed with autism spectrum disorder. All participants and the experimenter were located in different physical locations. All participants learned their primary and secondary targets, and 5 of the participants acquired the observational primary and secondary targets without direct teaching. Areas of future research and clinical implications are discussed in the context of telehealth service delivery.     

Flexible Utility Function Approximation via Cubic Bezier Splines

Psychometrika - In intertemporal and risky choice decisions, parametric utility models are widely used for predicting choice and measuring individuals’ impulsivity and risk aversion. However,...     

Decolonizing the demarcation of the ethical

Philosophical Studies - The question of what distinguishes moral problems from other problems is important to the study of the evolution and functioning of morality. Many researchers concerned with...     

A comprehensive measure of attitudes and behaviour: Development of the Support for Gender Equality among Men Scale

In this article, we develop and validate the 16-item Support for Gender Equality among Men Scale across four studies. Drawing on exploratory (Study 1, n = 322) and confirmatory (Study 2, n = 358; Study 4, n = 192) factor analysis, we determine a two-factor structure: public and domestic support for gender equality. In Study 3 (n = 146) and Study 4, we validate the scale by establishing its relationship with, among others, several prominent measures of sexism, a behavioural measure, and social desirability. The scale fills a psychometric gap in the literature: To date, no validated measure of support for gender equality, measuring both attitudes and behavioural intentions and focusing specifically on men, exists. Considering the recent increase in interest in men as allies of the feminist movement the scale functions as a useful tool to explore the topic in depth in future research.     

汉语复合词视觉识别的时间进程：基于同形语素的行为与ERP证据

基于同形语素抑制效应, 本研究探讨了汉语复合词视觉识别中的形音义激活进程。结果发现：(1) 同形异音、同形同音、相同条件相对于控制条件都产生了语素启动效应; (2) 在P2、晚期N400成分上, 同形同音条件与控制条件更为接近, 但与同形异音及相同条件差别显著; (3) 在早期N400成分上, 同形同音条件与相同条件更为接近, 但与同形异音条件差别显著。研究表明, 汉语复合词的视觉识别的早期阶段可能为基于词位的形态-正字法加工, 字形匹配与音位信息是首要影响因素, 但语义是否介入仍未可知; 而晚期阶段则可能为基于词条的形态-语义加工, 主要涉及语义竞争与选择。本研究结果支持了McClelland等学者提出的“平行分布加工模型”。     

Predictors of Client Attrition in a University-Based Community Counseling Clinic

The purpose of this study was to investigate how symptom distress, social role, interpersonal relationships, gender, age, number of supports, and education level predict client attrition in a community sample. Using binary logistic regression and cross-sectional data, the authors examined the predictive impact of 8 variables on adult client attrition in a university-based community counseling clinic. Results indicated that education level, interpersonal relationships, and number of supports significantly predicted attrition. In this sample, gender, age, symptom distress, social role, and race did not significantly predict attrition. Implications for clinical assessment and counseling practice are discussed.     

Changing counterproductive beliefs about attention,memory, and multitasking: Impacts of a brief,fully online module

Ubiquitous mobile technology is part of contemporary life, bringing with it the potential for distraction and reduction in performance associated with multitasking. The predisposition toward dysfunctional multitasking may be shaped in part by beliefs that individuals hold about memory and attention. The issue is particularly pressing for college students, given established links between distraction, multitasking, and learning. This project assessed the impact of an online learning module on beliefs about attention, memory, and learning in college students. It also contrasted these beliefs in a college and non-college community sample. Significant reductions in counterproductive beliefs were associated with completing the module; counterproductive beliefs were also no more prevalent in the college vs. the non-college sample. Our findings suggest that brief online modules are a practical way to address counterproductive beliefs related to multitasking with technology, and add to the literature on metacognition, attention, and multitasking in college and non-college populations.     

Personality,interview faking,and the mediating role of attitudes,norms, and perceived behavioral control

This study investigated the psychological processes underlying interview faking, and that link personality to interview faking. In a sample of 198 recent interviewees, surveyed across three time points, we examined the mediating role of three constructs from the theory of planned behavior (TPB; i.e., attitudes, subjective norms, and perceived behavioral control) in explaining the relationship between the traits of Honesty–Humility and Conscientiousness and one form of interview faking (i.e., extensive image creation). Results indicated that all three TPB constructs correlated with interview faking, although only attitudes and subjective norms predicted faking incrementally. Attitudes and norms mediated the relationships between Honesty–Humility and Conscientiousness and interview faking. This study provides insight into interview faking, and the link between personality and interview faking.     

Mapping differential responses to cognitive training using machine learning

We used two simple unsupervised machine learning techniques to identify differential trajectories of change in children who undergo intensive working memory (WM) training. We used self‐organizing maps (SOMs)—a type of simple artificial neural network—to represent multivariate cognitive training data, and then tested whether the way tasks are represented changed as a result of training. The patterns of change we observed in the SOM weight matrices implied that the processes drawn upon to perform WM tasks changed following training. This was then combined with K‐means clustering to identify distinct groups of children who respond to the training in different ways. Firstly, the K‐means clustering was applied to an independent large sample (N = 616, M_age = 9.16 years, range = 5.16–17.91 years) to identify subgroups. We then allocated children who had been through cognitive training (N = 179, M_age = 9.00 years, range = 7.08–11.50 years) to these same four subgroups, both before and after their training. In doing so, we were able to map their improvement trajectories. Scores on a separate measure of fluid intelligence were predictive of a child's improvement trajectory. This paper provides an alternative approach to analysing cognitive training data that go beyond considering changes in individual tasks. This proof‐of‐principle demonstrates a potentially powerful way of distinguishing task‐specific from domain‐general changes following training and of establishing different profiles of response to training.