The Practice of Fee Setting and Collection: Implications for Clinical Training Programs

The purpose of this article is to explore the empirical research that focuses on the association between fees and therapy outcomes as well as on therapists’ responses to issues of money. In addition, the authors will discuss implications for training programs surrounding the issue of client fees and offer suggestions for ways training programs might address the issue.     

Scoring Biodata: Is it rational to be quasi‐rational?

Five quasi‐rational biodata scales were developed by empirically keying biodata items to predict scores on a measure of the Big Five dimensions of personality. The criterion‐related validities of the quasi‐rational scales were compared to empirical and rational biodata keying methods using supervisory ratings of job performance as the criterion. Empirical keying outperformed the quasi‐rational and rational methods (which had similar validities).     

The development of metacognitive ability in adolescence

Introspection, or metacognition, is the capacity to reflect on our own thoughts and behaviours. Here, we investigated how one specific metacognitive ability (the relationship between task performance and confidence) develops in adolescence, a period of life associated with the emergence of self-concept and enhanced self-awareness. We employed a task that dissociates objective performance on a visual task from metacognitive ability in a group of 56 participants aged between 11 and 41 years. Metacognitive ability improved significantly with age during adolescence, was highest in late adolescence and plateaued going into adulthood. Our results suggest that awareness of one’s own perceptual decisions shows a prolonged developmental trajectory during adolescence.     

Regime-Switching Bivariate Dual Change Score Model

Mixture structural equation model with regime switching (MSEM-RS) provides one possible way of representing over-time heterogeneities in dynamic processes by allowing a system to manifest qualitatively or quantitatively distinct change processes conditional on the latent “regime” the system is in at a particular time point. Unlike standard mixture structural equation models such as growth mixture models, MSEM-RS allows individuals to transition between latent classes over time. This class of models, often referred to as regime-switching models in the time series and econometric applications, can be specified as regime-switching mixture structural equation models when the number of repeated measures involved is not large. We illustrate the empirical utility of such models using one special case—a regime-switching bivariate dual change score model in which two growth processes are allowed to manifest regime-dependent coupling relations with one another. The proposed model is illustrated using a set of longitudinal reading and arithmetic performance data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 study (ECLS-K; U.S. Department of Education, National Center for Education Statistics, 2010).     

Validation of Assessment for Learning Questionnaires for teachers and students

Background. Assessment can be a powerful force in promoting student learning. Still, few measures exist to gauge Assessment for Learning (AFL) in the classroom. Literature on AFL suggests that it encompasses both a monitor to track student progress as well as a scaffold to show or help students recognize in what areas they need to improve. Aims. Based on a review of recent attempts to measure the AFL, we constructed Assessment for Learning Questionnaires for Teachers (TAFL‐Q) and for students (SAFL‐Q) for evaluating perceptions regarding AFL practices in classrooms using matching items. Sample. The total sample included 1,422 students (49% girls, 51% boys) and 237 teachers (43% females, 57% males) in lower vocational secondary education. Methods. The 28‐item questionnaires were examined by means of confirmatory factor analysis (CFA) using EQS on one random half of the sample. The CFA was cross‐validated on the second half. Measurement invariance tests were conducted to compare the students and teacher versions of the questionnaires. Results. CFA revealed a stable second‐order two‐factor structure that was cross‐validated: perceived monitoring, and perceived scaffolding subsumed under a common factor: AFL. Tests for measurement invariance showed that the parallel constructs were measured similarly for both students and teachers. Conclusion. The TAFL‐Q and SAFL‐Q capture the construct AFL in two subscales: Monitoring and Scaffolding, and allows for comparisons between teacher and student perceptions. The instruments can be useful tools for teachers and students alike to identify and scrutinize assessment practices in classroom.     

Attribution theory and rape victim responsibility

The topic of rape victimization emerged in the last decade as an important social problem. Using a sample of medical students, this paper attempts to unravel the attribution of responsibility imputed to the victim of rape. Victim characteristics were varied by using vignettes in order to create an “ideal” and a “non‐ideal” rape victim.

A testing of the attribution models of the just world and defensive attribution found that respondents assigned low levels of culpability to both victim types. Additionally, sex differences in perceptions of victim responsibility were found, with females according both victim types less blame than did males. Thus, partial support was found for the defensive attribution model.     

The Relationship Between Group Identification and Satisfaction with Life in a Cross-Cultural Community Sample

A variety of studies have shown that group identification (a sense of belonging to one’s social group, coupled with a sense of commonality with the group’s members) is linked to high levels of satisfaction with life (SWL). The aim of the present study was to support and extend this literature by: (1) investigating the link between group identification and SWL with a large cross-cultural community sample; (2) examining whether the relationship is moderated by nationality; and (3) considering whether SWL is enhanced by possessing multiple group identifications simultaneously. Utilizing data from Wave 1 of the Health in Groups project, 3829 participants from both Scotland and Italy completed a questionnaire assessing their identification with their family, their local community, and a group of their choice, as well as their level of SWL. Higher identification with each group predicted higher SWL. Nationality was a marginal moderator of the relationship between family identification and SWL, with the relationship being stronger for Italian participants than for Scottish participants. There was also an additive effect of group identification, with a positive relationship between the number of groups with which participants identified and their SWL. These effects were obtained even after controlling for gender, age, employment status, nationality, and extent of contact with each group. The implications for healthcare professionals and their patients are discussed.     

THE ROAD IS MADE BY WALKING: AN INTRODUCTION

We are living in a time of unprecedented challenges: human activity is now the primary driver shaping the planet and we are perilously close to breaching a variety of critical planetary boundaries—a prelude to the possible extinction of our species. How should we be thinking and acting—as persons, communities, institutions and societies—so as to best understand and respond to these challenges? What contribution can the field of science and religion make to develop the knowledge needed to negotiate the civilizational transition we face? Such questions were addressed through a series of dialogues at the 62nd annual conference of the Institute on Religion in an Age of Science in June of 2016—“How Can We Know? Co‐Creating Knowledge in Perilous Times.” This essay sets the background to these challenges and introduces the set of articles in this themed section.     

On the Relation Between the Linear Factor Model and the Latent Profile Model

The relationship between linear factor models and latent profile models is addressed within the context of maximum likelihood estimation based on the joint distribution of the manifest variables. Although the two models are well known to imply equivalent covariance decompositions, in general they do not yield equivalent estimates of the unconditional covariances. In particular, a 2-class latent profile model with Gaussian components underestimates the observed covariances but not the variances, when the data are consistent with a unidimensional Gaussian factor model. In explanation of this phenomenon we provide some results relating the unconditional covariances to the goodness of fit of the latent profile model, and to its excess multivariate kurtosis. The analysis also leads to some useful parameter restrictions related to symmetry.