Assessing the Clinical Competence of Psychology Students Through Objective Structured Clinical Examinations (OSCEs): Student and Staff Views

Objective Structured Clinical Examinations (OSCEs) are a well‐known, reliable, and valid assessment method used across the healthcare sector. In the present study, we applied OSCEs in three units within professional postgraduate psychology courses, with the broad aims of identifying staff and student perceptions of the assessment. At the conclusion of each OSCE, staff and students completed a feedback questionnaire that contained both scaled and open‐ended questions. Results suggest that clinical psychology OSCEs can be stressful for students, but are also well regarded. Both staff and students felt that the OSCEs were realistic, valid, and aligned well with professional practice. Students reported differences in the way in which they prepared for the OSCEs compared with a written exam or other form of assessment, while staff noted that models of OSCE development must be flexible, to adequately assess the objectives of individual units. Further, because they can be a costly exercise, OSCEs need to be applied judiciously within the tertiary sector.     

A Pilot Study of a Method for Teaching Clinical Psychology Trainees to Conceptualise and Manage Countertransference

There is evidence that therapists' countertransference responses can affect the therapeutic relationship. There is also evidence that trainee therapists can experience difficulty understanding and managing countertransference. This evidence suggests the need for greater focus on countertransference in the training of professionals, such as psychologists, for whom therapy is a core activity. However, little is currently known about the best way of providing such training or the impact of such training on recipients. This pilot study examined clinical psychology trainees' responses to a teaching and learning method for conceptualising and managing countertransference. The method was designed to be accessible to a range of psychology trainees including those in cognitive behavioural therapy programmes. This article outlines the method and its pilot evaluation. An anonymous online questionnaire was completed by 55 trainees pre‐intervention and 40 post‐intervention. Qualitative methods were used to examine changes in trainees' analyses of countertransference pre‐ and post‐intervention, and their reports of understanding and managing countertransference. Trainees also rated the intervention. The majority of participants who completed the post‐intervention questionnaire reported that training increased awareness of or the ability to conceptualise countertransference. They reported strategies for managing countertransference, although they were less confident in this area.     

Science-Based Neurorehabilitation: Recommendations for Neurorehabilitation From Basic Science

ABSTRACT

Neuroscience has fundamentally changed the understanding of learning and memory within recent years. Here, the authors discuss a number of specific areas where they believe new understanding of the CNS from basic science is having a fundamental impact on neurorehabilitation and is leading to new therapeutic approaches. These areas have constituted a basis for development of some basic principles for neurorehabilitation: Optimal rehabilitation should involve (a) active (patient) participation in the training, (b) training that does not only involve many repetitions, but also continues to challenge the skill of the training person, (c) motivation and reward, (d) intensive training and practice over a long time, (e) careful organization of the training in relation to other activities, and (f) incorporation of other potentially beneficial parameters such as sleep and diet. It should in this relation also be pointed out that albeit neurorehabilitation may be predicted to have the most optimal effect early in life and as soon after injury as possible, there is no reason to believe that beneficial effects of training may not be obtained late in life or several years after injury.     

Examining the feasibility of the integrated hope scale in American college students

The Integrated Hope Scale (IHS) provides a multi-dimensional evaluation of factors common across measures of hope, examining social relationships, trust and confidence, perspectives of the future, and a lack of hopefulness. Despite promise for the instrument’s utility, research on the IHS is sparse has been limited to non-English-speaking populations, requiring translated items, and the cross-cultural transportability of hope constructs has previously been raised. Predominant theories of hope used in American populations have been criticized for not measuring important aspects that are included within the IHS. Using confirmatory factor analysis and latent class analysis, this study explored the IHS’s structural integrity and interpretive potential using a regionally and racially diverse sample of American college students. Results suggest that the IHS offers a valid global assessment of hope as well as for targeted measurement of discrete areas identified by instrument factor scores. The IHS also shows promise in differentiating individuals according to their level of hopefulness.     

Phenomenology and Cultural Considerations

The author discusses how his early exposure to Dr. Beck’s work shaped and directed his development as an emerging psychologist. Focusing on Beck’s assessment of hopelessness, the author discusses how he developed an appreciation for both the multidimensionality and multifunctionality of the construct in his own works focusing on cultural differences. The author argues that Beck’s early strategy to use a phenomenological approach to understanding clinical conditions remains important for appreciating the different functional meanings that cognitions might embody for different individuals.     

Improving precision of ability estimation: Getting more from response times

By considering information about response time (RT) in addition to response accuracy (RA), joint models for RA and RT such as the hierarchical model (van der Linden, 2007) can improve the precision with which ability is estimated over models that only consider RA. The hierarchical model, however, assumes that only the person's speed is informative of ability. This assumption of conditional independence between RT and ability given speed may be violated in practice, and ignores collateral information about ability that may be present in the residual RTs. We propose a posterior predictive check for evaluating the assumption of conditional independence between RT and ability given speed. Furthermore, we propose an extension of the hierarchical model that contains cross-loadings between ability and RT, which enables one to take additional collateral information about ability into account beyond what is possible in the standard hierarchical model. A Bayesian estimation procedure is proposed for the model. Using simulation studies, the performance of the model is evaluated in terms of parameter recovery, and the possible gain in precision over the standard hierarchical model and an RA-only model is considered. The model is applied to data from a high-stakes educational test.     

A penalized likelihood method for multi-group structural equation modelling

In the past two decades, statistical modelling with sparsity has become an active research topic in the fields of statistics and machine learning. Recently, Huang, Chen and Weng (2017, Psychometrika, 82, 329) and Jacobucci, Grimm, and McArdle (2016, Structural Equation Modeling: A Multidisciplinary Journal, 23, 555) both proposed sparse estimation methods for structural equation modelling (SEM). These methods, however, are restricted to performing single-group analysis. The aim of the present work is to establish a penalized likelihood (PL) method for multi-group SEM. Our proposed method decomposes each group model parameter into a common reference component and a group-specific increment component. By penalizing the increment components, the heterogeneity of parameter values across the population can be explored since the null group-specific effects are expected to diminish. We developed an expectation-conditional maximization algorithm to optimize the PL criteria. A numerical experiment and a real data example are presented to demonstrate the potential utility of the proposed method.     

Direction of dependence in measurement error models

Methods to determine the direction of a regression line, that is, to determine the direction of dependence in reversible linear regression models (e.g., x→y vs. y→x), have experienced rapid development within the last decade. However, previous research largely rested on the assumption that the true predictor is measured without measurement error. The present paper extends the direction dependence principle to measurement error models. First, we discuss asymmetric representations of the reliability coefficient in terms of higher moments of variables and the attenuation of skewness and excess kurtosis due to measurement error. Second, we identify conditions where direction dependence decisions are biased due to measurement error and suggest method of moments (MOM) estimation as a remedy. Third, we address data situations in which the true outcome exhibits both regression and measurement error, and propose a sensitivity analysis approach to determining the robustness of direction dependence decisions against unreliably measured outcomes. Monte Carlo simulations were performed to assess the performance of MOM-based direction dependence measures and their robustness to violated measurement error assumptions (i.e., non-independence and non-normality). An empirical example from subjective well-being research is presented. The plausibility of model assumptions and links to modern causal inference methods for observational data are discussed.     

SWLS网络测验中可靠性变量的测量不变性检验

测量不变性在自我报告问卷或量表的心理测量应用中非常重要,是跨组比较的前提条件。测量不变性检验模型包括无任何约束的分组验证性因素分析(M_group)、形态的不变性(M1)、负荷的不变性(M2)、截距的不变性(M3)、严格不变性(M4)、因子方差-协方差的不变性(M5)以及潜均值的不变性(M6)。以生活满意度量表(SWLS)为例,针对1343名大学生(年龄17-25岁,20.01±1.53),进行有急事需要处理(否vs.是),答题时感受(积极情绪vs.消极情绪),噪音水平(无噪音vs.有噪音),答题用时(长vs.短),性别(男vs.女),户口(非农业户口vs.农业户口)等不同组别的生活满意度量表(SWLS)完全因素不变性检验。结果表明:(1)是否有急事需要处理的不变性成立(Δχ²=0.49～10.59,p>0.05);(2)答题时感受不变性部分成立,M5、M6模型不变性不成立(Δχ²₍₁=3.96、20.89,p<0.05);(3)噪音水平不变性部分成立,M3与M4模型不变性检验不成立(Δχ²₍₄₎=14.75,Δχ²₍₅₎=23.91,p<0.05);(4)答题用时不变性不成立(Δχ²=11.01～41.95,均p<0.05);(5)性别的不变性部分成立,M4模型不变性检验不成立(Δχ²₍₅₎=64.40,p<0.05);(6)户口的不变性部分成立,M6模型不变性检验不成立(Δχ²₍₁₎=11.49,p<0.05)。