Morningness–Eveningness and College Advising: A Road to Student Success?

In addressing the challenges faced by E‐type (evening‐type) students, researchers have pointed to the need for school schedules that reflect chronotypic concerns and the recognition of the importance of sleep for academic achievement and well‐being. One approach to dealing with this issue for adolescent students has been to move the start of the school day later. In college, however, schedules become more varied and the social context in which these challenges occur differs requiring more individualized approaches to scheduling. In spite of this, morningness–eveningness is rarely considered by college administrators, advisors, or individuals involved in student services. It is important that faculty and staff who work with students be aware of chronotypical influences on classroom performance and other aspects of student life so that they can help them succeed in college and beyond.     

The retrograde motion of planets and children: Interpreting percentile rank

A common method used to interpret raw scores is to convert them into percentile rank. The broad application of percentile rank in almost all norm-referenced tests, and the exclusive use in some tests, requires the conversion of raw scores. Because percentile rank is not a linear transformation of raw scores, percentile-rank transformation in the lower and upper part of the raw-score distribution relates percentile rank and raw scores differently than in the center of the raw-score distribution. This paper describes the popularity of using percentile rank and offers an interpretation of the use of percentile rank with normal and skewed score distributions.     

Latent Variable Modeling and Adaptive Testing for Experimental Cognitive Psychopathology Research

The adaptation of experimental cognitive tasks into measures that can be used to quantify neurocognitive outcomes in translational studies and clinical trials has become a key component of the strategy to address psychiatric and neurological disorders. Unfortunately, while most experimental cognitive tests have strong theoretical bases, they can have poor psychometric properties, leaving them vulnerable to measurement challenges that undermine their use in applied settings. Item response theory–based computerized adaptive testing has been proposed as a solution but has been limited in experimental and translational research due to its large sample requirements. We present a generalized latent variable model that, when combined with strong parametric assumptions based on mathematical cognitive models, permits the use of adaptive testing without large samples or the need to precalibrate item parameters. The approach is demonstrated using data from a common measure of working memory—the N-back task—collected across a diverse sample of participants. After evaluating dimensionality and model fit, we conducted a simulation study to compare adaptive versus nonadaptive testing. Computerized adaptive testing either made the task 36% more efficient or score estimates 23% more precise, when compared to nonadaptive testing. This proof-of-concept study demonstrates that latent variable modeling and adaptive testing can be used in experimental cognitive testing even with relatively small samples. Adaptive testing has the potential to improve the impact and replicability of findings from translational studies and clinical trials that use experimental cognitive tasks as outcome measures.     

Authors and electronic publishing: what authors want from the new technology

Responses from almost 1,250 academic authors around the world were analysed to obtain their views on electronic publishing of learned journals. Currently, having a print version of journals is still more important to them than an electronic version. The issue of greatest importance to authors and readers is the continuing availability of back volumes, and there are strong concerns about pricing of electronic journals. The potential gains in publication speed through publishing electronically appear not to be a priority. Electronic preprint and reprint archives are used very little at present, with the exception of the physics and mathematics communities. Of all publisher‐mediated tasks, the peer‐review process is the most valued, followed by provision of citation‐linking. Respondents' views of future developments in electronic publishing are also explored.