Randomization procedures in single‐case intervention research contexts: (Some of) “the rest of the story”

Following up on articles recently published in this journal, the present contribution tells (some of) “the rest of the story” about the value of randomization in single‐case intervention research investigations. Invoking principles of internal, statistical‐conclusion, and external validity, we begin by emphasizing the critical distinction between design randomization and analysis randomization, along with the necessary correspondence between the two. Four different types of single‐case design‐and‐analysis randomization are then discussed. The persistent negative influence of serially dependent single‐case outcome observations is highlighted, accompanied by examples of inappropriate applications of parametric and nonparametric tests that have appeared in the literature. We conclude by presenting valid applications of single‐case randomization procedures in various single‐case intervention contexts, with specific reference to a freely available Excel‐based software package that can be accessed to incorporate the present randomization schemes into a wide variety of single‐case intervention designs and analyses.     

The Impact of Item Misspecification and Dichotomization on Class and Parameter Recovery in LCA of Count Data

Mixture analysis of count data has become increasingly popular among researchers of substance use, behavioral analysis, and program evaluation. However, this increase in popularity seems to have occurred along with adoption of some conventions in model specification based on arbitrary heuristics that may impact the validity of results. Findings from a systematic review of recent drug and alcohol publications suggested count variables are often dichotomized or misspecified as continuous normal indicators in mixture analysis. Prior research suggests that misspecifying skewed distributions of continuous indicators in mixture analysis introduces bias, though the consequences of this practice when applied to count indicators has not been studied. The present work describes results from a simulation study examining bias in mixture recovery when count indicators are dichotomized (median split; presence vs. absence), ordinalized, or the distribution is misspecified (continuous normal; incorrect count distribution). All distributional misspecifications and methods of categorizing resulted in greater bias in parameter estimates and recovery of class membership relative to specifying the true distribution, though dichotomization appeared to improve class enumeration accuracy relative to all other specifications. Overall, results demonstrate the importance of accurately modeling count indicators in mixture analysis, as misspecification and categorizing data can distort study outcomes.     

THE COEVOLUTION OF HUMAN ORIGINS,HUMAN VARIATION,AND THEIR MEANING IN THE NINETEENTH CENTURY

Ideas about biology, race, and theology were bound up together in nineteenth‐century scholarship, although they are rarely, if ever, considered together today. Nevertheless, the new genealogical way of thinking about the history of life arose alongside a new way of thinking about the Bible, and a new way of thinking about people. They connected with one another in subtle ways, and modern scholarly boundaries do not map well on to nineteenth‐century scholarship.     

Contrast effects in judgmental forecasting when assessing the implications of worst and best case scenarios

Two experiments investigated whether individuals' forecasts of the demand for products and a stock market index assuming a best or worst case scenario depend on whether they have seen a single scenario in isolation or whether they have also seen a second scenario presenting an opposing view of the future. Normatively, scenarios should be regarded as belonging to different plausible future worlds so that the judged implications of one scenario should not be affected when other scenarios are available. However, the results provided evidence of contrast effects in that the presentation of a second “opposite” scenario led to more extreme forecasts consistent with the polarity of the original scenario. In addition, people were more confident about their forecasts based on a given scenario when two opposing scenarios were available. We examine the implications of our findings for the elicitation of point forecasts and judgmental prediction intervals and the biases that are often associated with them.     

Validation Study of the Orientation Model: A Dual‐Process Assessment Framework

The orientation model is a multidimensional dual‐process assessment framework composed of 4 empirically validated instruments of cognitive processing, attachment, empathy, and introspection. It lends counselors a flexible means to assess client processing patterns relevant to clinical practice. The author used 375 participant responses to determine whether selected subscales align with analytic and experiential dual processes. Results suggest that the orientation model can serve as a dispositional framework for counseling practice. Implications and directions for future research are suggested.     

Contextual Adaptation of the Unified Protocol for the Transdiagnostic Treatment of Emotional Disorders in Victims of the Armed Conflict in Colombia: A Case Study

The delivery of a contextually adapted version of the Unified Protocol for transdiagnostic treatment of emotional disorders is illustrated through a case study of an internally displaced female victim of armed conflict in Colombia. A detailed account of how her history of continuous traumatic events and her forced displacement resulted in multiple emotional disorders and behaviors which hindered her ability to react to daily stressors illustrates the particular conditions of individuals exposed to extreme violence. Emphasis is placed on how her culture and context required adaptations of evidence-based interventions. The contextually adapted UP (CXA-UP) is described in “slow-motion,” through a session-by-session account of the procedure along with the specific changes in each module. Outcome measures showed four positive diagnoses at pretreatment, but none at posttreatment, 3-month, or 2-year follow-up. Implications for global applications with individuals in similar contexts and for widening access to such interventions are discussed.     

Inside it was orange squash concentrate: trainees’ experiences of reflective practice groups within clinical psychology training

Despite many clinical psychology training programmes utilising reflective practice groups (RPGs) to develop reflective practice (RP) skills, there remains little research examining how trainees experience these groups. This study uses interpretative phenomenological analysis (IPA) to explore the experiences of eight qualified clinical psychologists who attended RPGs on one United Kingdom (UK) clinical psychology training programme. A purposive sample was recruited for single, semi-structured interviews. Five superordinate themes were identified: ‘The process: there were so many layers’; ‘The impact: an ongoing process’; ‘Commitment: I hated it, but I still went’; ‘The facilitator: a presence who was not always present’; and ‘Getting through it: finding ways to cope’. The findings illustrate the varied and complex experiences of the participants. Whilst the experience was often difficult, the participants were committed to attending and sought out ways to navigate it. The results are conceptualised in terms of existing psychological theory and literature. A critique of the research and suggestions for future studies are offered, including exploring the views of group facilitators and comparing how groups are utilised within different training programmes. Recommendations are made on the development of future RPGs, which include consideration of the facilitation style and the groups’ frequency and size.     

Reflective practice and work-based research: a description of micro- and macro-reflective cycles

The role and importance of reflective practice have been thoroughly documented and its benefits are well established. When coupled with research in a higher education context, a similar importance for reflection can be extended to professional development, leadership, and work-based learning. However, the relation of reflective practice to work-based research, specifically when defined as an element of methodology in higher degree research awards, has yet to be fully examined. In this paper, we explore the basic principles of reflective practice as they relate to work-based learning and highlight the interfaces or ‘bridges’ between reflective cycles, showing their centrality to work-based research. As an example of how these principles might be applied, we also introduce the role of each micro- and macro-reflective cycle in the Professional Studies program at University of Southern Queensland, a relatively new academic approach which utilises both work-based learning and work-based research.