Pre‐registration: Why and How

In this article, we (1) discuss the reasons why pre‐registration is a good idea, both for the field and individual researchers, (2) respond to arguments against pre‐registration, (3) describe how to best write and review a pre‐registration, and (4) comment on pre‐registration’s rapidly accelerating popularity. Along the way, we describe the (big) problem that pre‐registration can solve (i.e., false positives caused by p‐hacking), while also offering viable solutions to the problems that pre‐registration cannot solve (e.g., hidden confounds or fraud). Pre‐registration does not guarantee that every published finding will be true, but without it you can safely bet that many more will be false. It is time for our field to embrace pre‐registration, while taking steps to ensure that it is done right.     

Using the teaching interaction procedure to train interventionists to implement the Cool versus Not CoolTM procedure

The teaching interaction procedure is a behavior analytic procedure that has been used to target the development of social skills. The teaching interaction procedure consists of labeling the target skill, providing a meaningful rationale, describing the steps of the target skill, modeling the skill, role‐play, and providing feedback throughout the interaction. Although the teaching interaction procedure has been used to teach a variety of social skills for individuals diagnosed with autism spectrum disorder (ASD), it has only been used to train staff in two studies. The purpose of this study was to evaluate the use of the teaching interaction procedure to teach three interventionists to implement the Cool versus Not Cool? procedure to target the development of social skills for children diagnosed with ASD. The results of a multiple baseline design demonstrated that the teaching interaction procedure was effective for all three interventionists. Results of the child participants' skill acquisition are also provided.     

Parents’ postnatal depressive symptoms and their children's academic attainment at 16 years: Pathways of risk transmission

The aim of the study was to examine whether parents’ increased postnatal depressive symptoms predicted children's academic attainment over time and whether the parent–child relationship, children's prior academic attainment, and mental health mediated this association. We conducted secondary analyses on the Avon Longitudinal Study of Parents and Children data (12,607 mothers, 9,456 fathers). Each parent completed the Edinburgh-Postnatal Depression Scale at 8 weeks after the child's birth (predictor) and a questionnaire about the mother–child and father–child relationship at 7 years and 1 month (mediator). The children's mental health problems were assessed with the teacher version of the Strengths and Difficulties Questionnaire at 10–11 years (mediator). We used data on the children's academic attainment on UK Key Stage 1 (5–7 years; mediator) and Key Stage 4 (General Certificate of Secondary Education 16 years) (outcome). We adjusted for the parents’ education, and child gender and cognitive ability. The results revealed that parents’ depressive symptoms at 8 weeks predicted lower academic performance in children at 16 years. Mothers’ postnatal depressive symptoms had an indirect effect through children's mental health problems on academic outcomes at 16 years via negative mother–child relationship, and prior academic attainment. There was a significant negative indirect effect of fathers’ postnatal depressive symptoms on academic attainment at 16 years via negative father–child relationship on child mental health. The findings suggest that the family environment (parental mental health and parent–child relationship) and children's mental health should be potential targets for support programmes for children of depressed parents.     

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...     

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”。     

Clinical Implications for Multi-Racial Individuals

Abstract

Multi- racial individuals experience distinctive struggles and challenges that can impact their mental health. However, despite the growing population and unique presenting issues there remains a scarcity of literature to effectively support them. In addition, there is a lack of research exploring the unique experience of the multiple heritage population. The article offers implications for effectively working with individuals of multi-racial decent as well as a call to action for MFTs to develop multicultural competencies for the profession.     

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.