Learning to Make Selection and Detection Decisions: The Roles of Base Rate and Feedback

The effects of type of feedback and base rate on threshold learning in a multiple‐cue decision task were examined. In most such decision experiments, participants receive feedback after every trial (full feedback), and a single base rate (usually 0.5) is used. Our experiment explored conditional feedback (feedback only after positive decisions) representing common selection and detection tasks (such as hiring), where the decision maker receives no feedback unless the decision is positive (e.g., hire the applicant). We used three base rates (0.2, 0.5, and 0.8). As expected, performance was best in full feedback, but after 300 learning trials, the difference was small. Conditional feedback generally resulted in fewer positive decisions than full feedback, but this difference was not found in the low (0.2) base rate condition. There were interactions between base rates and types of feedback. Results provide partial support for the constructivist encoding hypothesis of Elwin and colleagues. Simulation results suggest that our results may reflect overconfidence when feedback is not given. With respect to rate of learning, when the base rate was 0.2, conditional feedback participants reached approximately the same selection rate but did so more slowly than the full feedback participants. Partial feedback participants learned slower and appeared to be still learning after 500 trials. When the base rate was 0.5 or 0.8, partial feedback was nearly as good as full feedback, but conditional feedback resulted in a systematically lower rate of positive decisions. Copyright © 2011 John Wiley & Sons, Ltd.     

A Qualitative Investigation of Practicing Psychologists' Attitudes Toward Research-Informed Practice: Implications for Dissemination Strategies

This article presents the results of a qualitative analysis of interviews with 25 psychologists in independent practice, investigating everyday treatment decisions and attitudes about treatment outcome research and empirically supported treatments (ESTs). Clinicians noted positive aspects about treatment outcome research, such as being interested in what works. However, they had misgivings about the application of controlled research findings to their practices, were skeptical about using manualized protocols, and expressed concern that nonpsychologists would use EST lists to dictate practice. Clinicians reported practicing in an eclectic framework, and many reported including cognitive-behavioral elements in their practice. To improve their practice, they reported valuing clinical experience, peer networks, practitioner-oriented books, and continuing education when it was not too basic. Time and financial barriers concerned nearly all participants. Clinicians suggested they might be interested in ESTs if they could integrate them into their current frameworks, and if resources for learning ESTs were improved.     

Meta-Analysis of Interventions for Basic Mathematics Computation in Single-case Research

This study examined interventions for addition and subtraction that were implemented through single-case design (SCD) research studies. We attempted to extend prior SCD meta-analyses by examining differences in effect sizes across several moderating variables and by including a novel index of effect, improvement rate difference (IRD). We also examined the extent to which effect sizes differed by degree of experimental control achieved in the studies. Forty-seven effect sizes were obtained across 11 studies. IRD effect sizes ranged from .59 to .90 and suggested a moderate to large effect for the math interventions. Variables that appeared to moderate the effects were student age, time spent in intervention, and intervention type. We also identified a relationship between experimental control and the obtained effect sizes. Findings indicated that further SCD research in basic arithmetic and rigorous experiments are necessary to establish an evidence base that accurately characterizes intervention effectiveness.     

Trends in Telehealth versus On-site Clinical Genetics Appointments in Manitoba: A Comparative Study

Telehealth involves the use of information and communications technology to deliver health services to patients over distance. Canada is well suited to benefit from telehealth since many individuals live in remote, rural and isolated locations. Manitoba is the easternmost prairie province and MBTelehealth is an active Canadian program that currently has 105 sites in 73 communities. Although studies of patient satisfaction comparing telehealth to on-site clinical visits have been conducted, a comparative study of the types of genetics patients seen via these two modalities has not been performed previously. In this study we: (1) examined the uptake of telehealth in Genetics in Manitoba; (2) contrasted telehealth usage in Genetics with other clinical programs; and (3) performed a comparative study of the types of Genetics referrals seen in 2008 on-site versus via telehealth. Results indicate the uptake of telehealth is increasing and has made genetics outreach clinics unnecessary. The Program of Genetics and Metabolism is consistently one of the top ten utilizers of telehealth within the province. With respect to discipline, chi square analysis revealed the trends were not significantly different for on-site and telehealth encounters, with prenatal referrals being the most common and Hereditary Breast and Ovarian Cancer referrals being the least common. Referrals within each discipline varied depending on the need for fetal assessment and physical examination. Telehealth was utilized regularly for test results sessions across all disciplines.     

Early Career Boot Camp: A Novel Mechanism for Enhancing Early Career Development for Psychologists in Academic Healthcare

The purpose of this article is to describe a pilot mentoring program for Early Career Psychologists (ECPs) working in Academic Health Centers (AHCs) and synthesize the lessons learned to contribute to future ECP and AHC career development training programs. The authors describe an early career development model, named the Early Career Boot Camp. This intensive experience was conducted as a workshop meant to build a supportive network and to provide mentorship and survival tools for working in AHCs. Four major components were addressed: professional effectiveness, clinical supervision, strategic career planning, and academic research. Nineteen attendees who were currently less than 5 years post completion of doctoral graduate programs in psychology participated in the program. The majority of boot camp components were rated as good to excellent, with no component receiving below average ratings. Of the components offered within the boot camp, mentoring and research activities were rated the strongest, followed by educational activities, challenges in AHCS, and promotion and tenure. The article describes the purpose, development, implementation, and assessment of the program in detail in an effort to provide an established outline for future organizations to utilize when mentoring ECPs.     

Religious Involvement Measurement Model in a National Sample of African Americans

This study examined the factor structure of a brief measure of religious involvement developed previously in research with African American women. Telephone interview methods were used with a national sample of both African American women and men (N = 2,370). Confirmatory factor analyses supported the distinction between religious beliefs and religious behaviors factors and indicated that the factor loadings were equivalent for women and men. Women reported higher levels of religious involvement than men. These results support the validity of this relatively brief instrument for assessing these two dimensions of religious involvement for both African American women and men.     

Body image, shape, and volumetric assessments using 3D whole body laser scanning and 2D digital photography in females with a diagnosed eating disorder: preliminary novel findings

We piloted three-dimensional (3D) body scanning in eating disorder (ED) patients. Assessments of 22 ED patients (including nine anorexia nervosa (AN) patients, 12 bulimia nervosa (BN) patients, and one patient with eating disorder not otherwise specified) and 22 matched controls are presented. Volunteers underwent visual screening, two-dimensional (2D) digital photography to assess perception and dissatisfaction (via computerized image distortion), and adjunctive 3D full-body scanning. Patients and controls perceived themselves as bigger than their true shape (except in the chest region for controls and anorexia patients). All participants wished to be smaller across all body regions. Patients had poorer veridical perception and greater dissatisfaction than controls. Perception was generally poorer and dissatisfaction greater in bulimia compared with anorexia patients. 3D-volume:2D-area relationships showed that anorexia cases had least tissue on the torso and most on the arms and legs relative to frontal area. The engagement of patients with the scanning process suggests a validation study is viable. This would enable mental constructs of body image to be aligned with segmental volume of body areas, overcoming limitations, and errors associated with 2D instruments restricted to frontal (coronal) shapes. These novel data could inform the design of clinical trials in adjunctive treatments for eating disorders.     

Classification of Co-occurring Depression and Substance Abuse Symptoms Predicts Suicide Attempts in Adolescents

Although both depression and substance use have been found to contribute to suicide attempts, the synergistic impact of these disorders has not been fully explored. Additionally, the impact of subthreshold presentations of these disorders has not been researched. We utilized the Quadrant Model of Classification (a matrix of severity of two disorders) to assess for suicide attempt risk among adolescents. Logistic regression was used to examine the impact of co-occurring disorder classification on suicide risk attempts. Results indicate that quadrant classification had a dramatic impact on suicide attempt risk, with individuals with high severity co-occurring disorders at greatest risk.