Evaluation of a mental health treatment court with assertive community treatment

Without active engagement, many adults with serious mental illnesses remain untreated in the community and commit criminal offenses, resulting in their placement in the jails rather than mental health facilities. A mental health treatment court (MHTC) with an assertive community treatment (ACT) model of case management was developed through the cooperative efforts of the criminal justice and mental health systems. Participants were 235 adults with a serious mental illness who were booked into the county jail, and who volunteered for the study. An experimental design was used, with participants randomly assigned to MHTC or treatment as usual (TAU), consisting of adversarial criminal processing and less intensive mental health treatment. Results were reported for 6 and 12 month follow-up periods. Clients in both conditions improved in life satisfaction, distress, and independent living, while participants in the MHTC also showed reductions in substance abuse and new criminal activity. Outcomes are interpreted within the context of changes brought about in the community subsequent to implementation of the MHTC.     

Reaction to Compton and Metheny (2000): "assessment of grade inflation in higher education"

Comparison of grades awarded to all students in all courses at SUNY Geneseo in Spring 1990 and Spring 2000 shows a significant overall increase and a fairly stable pattern of grading practices across departments that resembles the pattern reported by Compton and Metheny in 2000 and other investigators.     

Search for multiple targets: remember the targets, forget the search

Models of visual search performance typically assume that search proceeds by sampling without replacement. This requires memory for each deployment of attention. We tested this assumption of memory-driven search using a multiple-target search paradigm. We held total set size constant, varied the number of targets in the display, and asked subjects to report whether or not there were at least n targets present, where n was varied by block. This allowed us to measure the time to find each subsequent target. Memory-driven search predicts that reaction time should be a linear function of n. The alternative memory-free search hypothesis predicts an accelerating function. The data falsify the memory-driven hypothesis. They were consistent with the memory-free search hypothesis but would also be consistent with memory for a small number of previously attended locations.     

Memory search for the first target modulates the magnitude of the attentional blink

The resolution of temporal attention is limited in a manner that makes it difficult to identify two targets in short succession. This limitation produces the phenomenon known as the attentional blink (AB), in which processing of a first target (T1) impairs identification of a second target (T2). In the AB literature, there is broad agreement that increasing the time it takes to process T1 leads to a larger AB. One might, therefore, predict that increasing the number of possible T1 identities, or target set, from 1 to 16 would lead to a larger AB. We were surprised to find that this manipulation of T1 difficulty had no influence on AB magnitude. In subsequent experiments, we found that AB magnitude interacts with T1 processing time only under certain circumstances. Specifically, when the T1 task was either well masked or had to be completed online, we found a reliable interaction between AB magnitude and the target set size. When neither of these conditions was fulfilled, there was no interaction between target set size and the AB. Previous research found that when the target set changes from trial to trial, trials with more possible targets elicited a larger AB. In the present study, the target set is held constant, reducing the demands on working memory. Nevertheless, AB magnitude still interacts with target set size, as long as the T1 task cannot be processed offline. Thus, the act of searching memory delays subsequent processing, even when the role of working memory has been minimized.     

The Influence of Rater Effects in Training Sets on the Psychometric Quality of Automated Scoring for Writing Assessments

Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be “trained” using machine-learning techniques that incorporate human ratings. However, the quality of the human ratings used to train the AESEs is rarely examined. As a result, the impact of various rater effects (e.g., severity and centrality) on the quality of AESE-assigned scores is not known. In this study, we use data from a large-scale rater-mediated writing assessment to examine the impact of rater effects on the quality of AESE-assigned scores. Overall, the results suggest that if rater effects are present in the ratings used to train an AESE, the AESE scores may replicate these effects. Implications are discussed in terms of research and practice related to automated scoring.     

Hybrid value foraging: How the value of targets shapes human foraging behavior

In hybrid foraging, observers search visual displays for multiple instances of multiple target types. In previous hybrid foraging experiments, although there were multiple types of target, all instances of all targets had the same value. Under such conditions, behavior was well described by the marginal value theorem (MVT). Foragers left the current “patch” for the next patch when the instantaneous rate of collection dropped below their average rate of collection. An observer’s specific target selections were shaped by previous target selections. Observers were biased toward picking another instance of the same target. In the present work, observers forage for instances of four target types whose value and prevalence can vary. If value is kept constant and prevalence manipulated, participants consistently show a preference for the most common targets. Patch-leaving behavior follows MVT. When value is manipulated, observers favor more valuable targets, though individual foraging strategies become more diverse, with some observers favoring the most valuable target types very strongly, sometimes moving to the next patch without collecting any of the less valuable targets.

     

Cognitive technologies for gist processing

Cognitive technologies extend our cognitive abilities, yet they are currently deficient in many respects. According to fuzzy-trace theory, people are gist processors with a fuzzy-processing preference, and information is mentally represented along a fuzzy-to-verbatim continuum. An understanding of gist processing could form the basis of a new generation of more effective cognitive technologies. This suggests, first, the need for new tools to help Web page creators optimize gist representations of text. Such a system could provide feedback about the visitor’s gist and make recommendations about rewriting. It also suggests the need for new tools to help authors create more effective means of presenting quantitative data in visual form. The advocated approach capitalizes on the collective knowledge of communities of practice on the Web. Finally, it suggests the need for new tools for collecting input from users. The facial composite system EvoFIT is cited as an example.