A 4pL item response theory examination of perceived stigma in the screening of eating disorders with the SCOFF among college students.

We examined the psychometric properties of the SCOFF, a screening instrument for eating disorders, with consideration of the perceived stigma of items that can produce socially desirable responding among a sample of college students. The results of the current study suggest evidence of the sufficient psychometric properties of the SCOFF in terms of confirmatory factor and item response theory analyses. However, two items of the SCOFF revealed that individuals who otherwise endorsed other items of the SCOFF were less likely to endorse the items of Fat and Food. It is hypothesized that this is the result of perceived stigma regarding those two items that prompts individuals to respond in a socially desirable way. A weighted scoring procedure was developed to counteract the performance of these two items, but the psychometric performance was only slightly better and there would be a clear tradeoff of specificity over sensitivity if utilized. Future research should consider other ways to counteract such perceived stigma.Level of evidence Level III: Evidence obtained from cohort or case-control analytic studies.

Development of an in-vivo metric to aid visual inspection of single-case design data: Do we need to run more sessions?

Comparing visual inspection results of graphed data reveals inconsistencies in the interpretation of the same graph among single-case experimental design (SCED) researchers and practitioners. Although several investigators have disseminated structured criteria and visual inspection aids or strategies, inconsistencies in interpreting graphed data continue to exist even for individuals considered to be experts at interpreting SCED graphs. We propose a fail safe k metric that can be used in conjunction with visual inspection, and it can be used in-vivo after each additional data point is collected within a phase to determine the optimal point in time to shift between phases (e.g., from baseline to treatment). Preliminary proof of concept data are presented to demonstrate the potential utility of the fail safe k metric with a sample of previously published SCED graphs examining the effects on noncontingent reinforcement on occurrences of problem behavior. Results showed that if the value of fail safe k is equal to or less than the number of sessions in the current phase, then the data path may not be stable and more sessions should be run before changing phases. We discuss the results in terms of using the fail safe k as an additional aid for visual inspection of SCED data.