The Eating Disorder Inventory-III Maturity Fears Scale and Treatment Outcome in an Intensive Outpatient Eating Disorder Program

Eating disorders present a significant physical and psychological problem with a prevalence rate of approximately six percent in the United States. Despite the extensive literature, identifying the consistent risk factors for predicting the course of treatment in eating disorders remains difficult. The present study explores the use of a standardized assessment, using the consistently validated Eating Disorder Inventory-III (EDI-3), in predicting treatment outcome. Specifically, the study investigates the particular scale of Maturity Fears (MF) on the EDI-3, hypothesizing that higher scores on the MF scale would predict lower rates of recovery and treatment completion. The participants were 52 eating disorder patients (19 AN, 18 BN, and 15 EDNOS), consecutively admitted to a five-month long intensive outpatient program (IOP). The participants completed an EDI-3 self-report at pre and post treatment, and their score on the MF scale did not show a significant predictive relationship to treatment completion or change in symptoms, as measured by the Eating Disorder Risk Composite (EDRC) scale on the EDI-3. This finding primarily suggests that maturity fears are not a significant predictive factor in an outpatient setting with adults, as compared to previous studies that found a relationship between maturity fears and treatment outcome, primarily with adolescent and inpatient populations.

Development of The Readiness To Teach Online Scale

Despite the growing importance of online education, faculty acceptance has remained unchanged. Training programs developed for faculty to teach online have often focused on assessing their cognitive rather than affective and behavioral outcomes. The Readiness To Teach Online scale was developed as part of a multiphase mixed method research project to measure faculty perceptions and motivations toward teaching online. Items in the subcategory Teaching and Learning measured perceptions of technology and online teaching, and motivations regarding resources and other external factors. Items in the subcategories Social and Student Engagement, Faculty and Technology Support, Course Development and Instructional Design, and Evaluation and Assessment collected baseline data for current practices. The pilot study of this scale demonstrated strong internal consistency reliability estimates and support for validity, showing moderately to highly correlated significant relationships between faculty perceptions and motivation to teach online; both perception and motivation constructs were moderately to highly correlated with Social and Student Engagement.

Response of Catch-Per-Unit-Effort to Spatial and Environmental Factors: an Exploratory Data Analysis Using Generalized Additive Models

Understanding spatial distributions and how environmental conditions influence catch-per-unit-effort (CPUE) is important for increased fishing efficiency and sustainable fisheries management. This study investigated the relationship between CPUE, spatial factors, temperature, and depth using generalized additive models. Combinations of factors, and not one single factor, were frequently included in the best model. Parameters which best described CPUE varied by geographic region. The amount of variance, or deviance, explained by the best models ranged from a low of 29% (halibut, Charlotte region) to a high of 94% (sablefish, Charlotte region). Depth, latitude, and longitude influenced most species in several regions. On the broad geographic scale, depth was associated with CPUE for every species, except dogfish. Latitude and longitude influenced most species, except halibut (Areas 4 A/D), sablefish, and cod. Temperature was important for describing distributions of halibut in Alaska, arrowtooth flounder in British Columbia, dogfish, Alaska skate, and Aleutian skate. The species-habitat relationships revealed in this study can be used to create improved fishing and management strategies.