A descriptive study of e-counsellor attitudes,ethics, and practice

Introduction: The purpose of this study was to examine questions related to the process, perceived outcomes, and ethics of therapists who provide counselling and therapy online. Method: An online survey was conducted (N=93) with identified e-counsellors with at least a Master's Degree. Questions included demographic information and Likert-type scales related to extent of practice, theoretical orientation, training and supervision, attitudes about appropriate practice, referral, legal and ethical issues, practice difficulties, and therapist satisfaction. Results: Overall, e-counsellors are satisfied with their practice and believe it is effective. They generally do not have formal training or supervision in online practice. Current e-counselling appears to be a part-time, supplemental practice with little overlap to FTF practice. There was little agreement among respondents on attitudes, practice, ethical issues, and knowledge of regulations related to e-counselling. Discussion: Lack of consensus about ethical obligations and practice suggest the need for formal training in e-counselling by professional programmes and international cooperation in formulating practice ethics. Areas for further research are discussed.     

Parsing as a Cue-Based Retrieval Model

This paper develops a novel psycholinguistic parser and tests it against experimental and corpus reading data. The parser builds on the recent research into memory structures, which argues that memory retrieval is content-addressable and cue-based. It is shown that the theory of cue-based memory systems can be combined with transition-based parsing to produce a parser that, when combined with the cognitive architecture ACT-R, can model reading and predict online behavioral measures (reading times and regressions). The parser's modeling capacities are tested against self-paced reading experimental data (Grodner & Gibson, 2005), eye-tracking experimental data (Staub, 2011), and a self-paced reading corpus (Futrell et al., 2018).     

Prepared to fake? The relationship between applicants’ job interview preparation and faking

Multiple frameworks and models postulate an effect of job interview preparation on faking. Two studies were conducted to examine if applicants’ interview preparation is correlated with higher faking. Besides analyzing the general extent of preparation, we also distinguished between different preparation categories. In Study 1 (N = 237), a presented preparation video led to higher intentions on image protection but did not increase overall faking intentions. Study 2 (N = 206) focused on past preparation and impression management (IM). The total time spent on preparation was positively correlated with faking. Applicants’ preparation via online videos and professional interview preparation was correlated with higher deceptive and honest IM. Preparation via online videos was additionally correlated with a higher perceived interview difficulty.     

Computer‐based training to teach observers to accurately score problem behavior using fast forwarding at 5x normal speed

The current study evaluated whether a computer‐based training program could improve observers' accuracy in scoring discrete instances of problem behavior at 5x normal speed using a multiple‐baseline design across subjects. During pretraining and posttraining, observers attempted to score multiple examples of problem behavior at 5.0x without feedback. During training, participants scored multiple examples of problem behavior at 5.0x with automated feedback. Researchers measured omission (missing problem behavior) and commission (scoring other behavior as problem behavior) errors and the total duration of scoring time to determine the observers' accuracy and efficiency, respectively. After training, all participants scored instances of problem behavior with less than 11% error using 5.0x. The time required to score the videos across 90‐min observations was reduced by 66%. Results extend previous evaluations of fast forwarding by demonstrating that the training program could be used to teach observers to accurately score problem behavior using a speed faster than 3.5x.     

Reflections on the role of the analytic setting in the light of COVID-19

There have been many reflections, both individual and collective within our Institutes, on the effects on our work with patients caused by COVID-19 and the requirement to move suddenly from the setting of our own consulting rooms to working with patients online (see also, the previous issue of this Journal). This paper focuses on what we have learned from these experiences that can add to our knowledge about the role of the setting in analytic work. Drawing on Bleger’s (1967) seminal paper highlighting the usual setting as a mute projection carrier for primitive wishes and affects, the paper explores how different patients have reacted to the loss of the analyst as the guardian of the setting and in particular as an embodied presence. Some key questions and challenges for both patients and analysts during the pandemic, when ‘the setting begins to weep’, are explored.     

多级评分认知诊断模型述评

认知诊断评估旨在探讨个体内部的知识掌握结构,并提供关于学生优缺点的详细诊断信息,以促进个体的全面发展。当前研究者已开发了大量0-1评分的认知诊断模型,但对于多级评分认知诊断模型的研究还比较少。本文对已有的多级评分认知诊断模型进行了归纳,介绍了模型的假设,计量特征以及适用范围,为实际应用者和研究者在多级评分认知诊断模型的比较和选用上提供借鉴和参考。最后,对未来关于多级评分诊断模型的研究方向进行了展望。     

问题性网络游戏使用青少年未来取向的助推研究

摘要：以问题性网络游戏使用青少年为研究对象,基于锚定效应助推国民身心健康的理论前提和态度改变理论视角,通过实验1和实验2分别建立未来取向内部锚和未来取向外部锚,检验未来取向内部锚和外部锚对减少问题性网络游戏使用青少年游戏时间的有效性。结果表明,未来取向内部和外部的助推方式,均能够有效促进问题性网络游戏使用青少年游戏时间的减少,提高了决策效用。     

Selecting a new technology strategy using multiattribute,multilevel decision trees

Research indicates that selecting a strategy to best exploit a new technology is a complex decision-making process. The task involves making a series of decisions with multiple alternatives, each to be evaluated by multiple criteria whose values have high levels of uncertainty. This paper presents a methodology for modelling a new technology decision using decision trees and an optimizing algorithm. A problem of a mining company considering the adoption of new technology is used to illustrate the decision-making task and modelling methodology. A numerical solution to the case demonstrates the potential of the optimizing technique in strategy selection.     

Testing two variances for superiority/non-inferiority and equivalence: Using the exhaustion algorithm for sample size allocation with cost

The equality of two group variances is frequently tested in experiments. However, criticisms of null hypothesis statistical testing on means have recently arisen and there is interest in other types of statistical tests of hypotheses, such as superiority/non-inferiority and equivalence. Although these tests have become more common in psychology and social sciences, the corresponding sample size estimation for these tests is rarely discussed, especially when the sampling unit costs are unequal or group sizes are unequal for two groups. Thus, for finding optimal sample size, the present study derived an initial allocation by approximating the percentiles of an F distribution with the percentiles of the standard normal distribution and used the exhaustion algorithm to select the best combination of group sizes, thereby ensuring the resulting power reaches the designated level and is maximal with a minimal total cost. In this manner, optimization of sample size planning is achieved. The proposed sample size determination has a wide range of applications and is efficient in terms of Type I errors and statistical power in simulations. Finally, an illustrative example from a report by the Health Survey for England, 1995–1997, is presented using hypertension data. For ease of application, four R Shiny apps are provided and benchmarks for setting equivalence margins are suggested.