Neurocognitive insights into substance abuse

Cognitive studies are revealing key aspects of how drug abusers monitor and respond to negative feedback differently from non-abusers, and in doing so are adding an important piece to the conceptual puzzle that must be solved to understand, treat, and prevent drug abuse. In this review, we bring together two quite different lines of research, one addressing the selection of gambles in a risky decision task, and the other focused on imaging neural systems related to the detection and processing of errors. We suggest that diminished behavioural control, which is a cardinal feature of drug abuse, may be linked to alterations in the psychological and neural mechanisms that detect error signals and which, in turn, lead to optimization of behavioural responses.     

Instructor's transformational leadership: university student attitudes and ratings

We extend leadership research by examining the effect of an instructor's transformational leadership on university students. 120 undergraduate students provided ratings for their instructors on Charisma, Intellectual Stimulation, and Individual Consideration as well as the Instructors' Performance and the Students' Involvement in class. Multiple regression analyses indicated that Intellectual Stimulation and Charisma together accounted for 66.3% of the variance in the prediction of Instructor's Performance ratings. In turn, Intellectual Stimulation and Individual Consideration combined to account for 55.1% of the variance in predicting Student Involvement.     

Conditional covariance structure of generalized compensatory multidimensional items

Some nonparametric dimensionality assessment procedures, such as DIMTEST and DETECT, use nonparametric estimates of item pair conditional covariances given an appropriately chosen subtest score as their basic building blocks. Such conditional covariances given some subtest score can be regarded as an approximation to the conditional covariances given an appropriately chosen unidimensional latent composite, where the composite is oriented in the multidimensional test space direction in which the subtest score measures best. In this paper, the structure and properties of such item pair conditional covariances given a unidimensional latent composite are thoroughly investigated, assuming a semiparametric IRT modeling framework called a generalized compensatory model. It is shown that such conditional covariances are highly informative about the multidimensionality structure of a test. The theory developed here is very useful in establishing properties of dimensionality assessment procedures, current and yet to be developed, that are based upon estimating such conditional covariances.In particular, the new theory is used to justify the DIMTEST procedure. Because of the importance of conditional covariance estimation, a new bias reducing approach is presented. A byproduct of likely independent importance beyond the study of conditional covariances is a rigorous score information based definition of an item's and a score's direction of best measurement in the multidimensional test space.This paper is based on a chapter of the first author's doctoral dissertation, written at the University of Illinois and supervised by the second author. Part of this research has been presented at the annual meeting of the National Council on Measurement in Education, San Francisco, April 1995.The authors would like to thank Jeff Douglas, Xuming He and Ming-mei Wang for their comments and suggestions. The research of the first author was partially supported by an ETS/GREB Psychometric Fellowship, and by Educational Testing Service Research Allocation Project 884-01. The research of the second author was partially supported by NSF grant DMS 97-04474.     

Systems for multivariate monitoring of behavioral status over time

Decision-theoretic criteria are presented for optimizing the information gathered from a series of interviews over time. It is shown that the optimum interviewing strategy depends strongly on assumptions about the covariation of behavior over time. Standard interviewing strategies, including the major-problem/target-complaints approach, are optimal only under extreme assumptions about behavior. An interviewing strategy based on dynamic programming is presented that will provide optimal information return from a series of interviews under assumptions that are realistic for mental health applications. A system using this approach can tailor its interviewing strategy to adapt to differences in interview content, item importance, and individual response patterns, selecting the optimally informative questions to ask each subject at each point in time. Simulation results show that this approach achieves a 34% reduction in the false negatives obtained with the major-problem/target-complaints method, and, depending on the acceptable error rate, a reduction of 47 % or more in the questions that are needed in standard interviewing.     

Innovative uses of existing software in the teaching of psychodiagnostics

Too frequently, current, adaptable software programs are not used to their full potential for educational and clinical applications. Graduate psychology students often become familiar with computers and various programs for word processing and research applications, and now these students, using the same systems, can utilize and adapt database software to assist in psychodiagnostic decision-making. This paper discusses the development of one such system.     

Autism,episodic memory,and moral exemplars

This paper presents a challenge for exemplar theories of moral concepts. Some have proposed that we acquire moral concepts by way of exemplars of actions that are prohibited as well as of actions that are required, and we classify newly encountered actions based on their similarity to these exemplars. Judgments of (im)permissibility then follow from these exemplar-based classifications. However, if this were true, then we would expect that individuals who lacked, or were deficient in, the capacity to form or access exemplars of this kind would be similarly deficient in the ability to classify new actions according to them, and this relative inability would be manifested in the moral judgments made by such individuals. However, there is reason to suspect, I think, that a number of individuals who have been diagnosed with Autism Spectrum Disorder (ASD) actually have the deficiencies I have described here but are nevertheless fully able to make sound moral judgments. If this is so, then it must be the case that classifying actions as instances of a given moral concept and making judgments based on said classification does not rely solely on exemplars.     

Psychosocial enhancement of immunocompetence in a geriatric population

This study assessed the enhancement of immunocompetence by relaxation and social contact in 45 geriatric residents of independent-living facilities. Subjects were randomly assigned to one of three protocols: relaxation training, social contact, or no contact. Subjects in the relaxation and social-contact conditions were seen individually three times a week for a month. Blood samples and self-report data were obtained at baseline, at the end of the intervention, and at a 1-month follow-up. At the end of the intervention, the relaxation group showed a significant increase in natural killer cell activity, and significant decreases in antibody titers to Herpes simplex virus and self-rated distress; the other two groups showed nonsignificant changes. There was a general increase in the T-lymphocyte response to phytohemagglutinin stimulation at the end of the intervention, with greater change at lower mitogen concentrations. These data suggest that cellular immunocompetence may be enhanced by psychosocial interventions.     

New approaches to the design of computerized interviewing and testing systems

Most computer interviewing and testing systems have adopted paper-and-pencil approaches to information gathering with little modification. However, computer technology offers two fundamental advantages over paper-and-pencil technology for psychological information gathering: (1) A computer can record ancillary data such as latencies and pressure on response keys during an interviewing session, and (2) A computer can react adaptively to special events as these arise during a session. Ways to capitalize on these advantages are outlined. A pilot study of interviewee behavior during a computer problem-screening interview is described, and the implications of the results for future research in the area are discussed. Passive and active computer testing systems occupy positions on a continuum between paper-based psychological testing and the flexible, but less well controlled, technology represented by the human. With its unique capabilities, computer technology has a special role to play in the future of psychological measurement.