Diabetes Self-Management Profile Short Form: A Preliminary Report

Effective family management of type 1 diabetes in childhood is critical to maintaining optimal glycemic control. The purpose of this study was to provide preliminary evidence for a reduced form of the Diabetes Self-Management Profile (DSMP) using Rasch modeling techniques. The study was a secondary analysis of DSMP data drawn from a previous study on patterns of self-management from 239 preadolescents with type 1 diabetes. Rasch modeling strategies were used to identify the most informative items and then a reduced score composite was correlated with hemoglobin A1c (A1c) and blood glucose monitoring (BGM) frequency. A short form of the DSMP was obtained using seven items that comprised all five subscales of the DSMP. The DSMP Short-Form (DSMP-SF) composite score correlated significantly with child’s HbA1c and BGM frequency. The DSMP-SF may be considered a valid and effective screening interview alternative to the longer, original, DSMP, particularly when attempting to identify high-risk patients.     

Working memory and reasoning: An individual differences perspective

This article reports three experiments that investigated the relationship between working memory capacity and syllogistic and five-term series spatial inference. A series of complex and simple verbal and spatial working memory measures were employed. Correlational analyses showed that verbal and spatial working memory span tasks consistently predicted syllogistic and spatial reasoning performance. A confirmatory factor analysis showed that three factors best accounted for the data—a verbal, a spatial, and a general factor. Syllogistic reasoning performance loaded all three factors, whilst spatial reasoning loaded only the general factor. The implications of these findings are discussed in the context of reasoning theories and contemporary accounts of the structure of working memory.     

Problem-solving Strategies and Expertise in Engineering Design

A study is reported which focused on the problem-solving strategies employed by expert electronics engineers pursuing a real-world task: integrated-circuit design. Verbal protocol data were analysed so as to reveal aspects of the organisation and sequencing of ongoing design activity. These analyses indicated that the designers were implementing a highly systematic solution-development strategy which deviated only a small degree from a normatively optimal top-down and breadth-first method. Although some of the observed deviation could be described as opportunistic in nature, much of it reflected the rapid depth-first exploration of tentative solution ideas. We argue that switches from a predominantly breadth-first mode of problem solving to depth-first or opportunistic modes may be an important aspect of the expert's strategic knowledge about how to conduct the design process effectively when faced with difficulties, uncertainties, and design impasses.     

Predicting the difficulty of complex logical reasoning problems

The aim of the present research was to develop a difficulty model for logical reasoning problems involving complex ordered arrays used in the Graduate Record Examination. The approach used involved breaking down the problems into their basic cognitive elements such as the complexity of the rules used, the number of mental models required to represent the problem, and question type. Weightings for these different elements were derived from two experimental studies and from the reasoning literature. Based on these weights, difficulty models were developed which were then tested against new data. The models had excellent predictive validity and showed the relative influence of rule based factors and factors relating to the number of underlying models. Different difficulty models were needed for different question types, suggesting that people used a variety of approaches and, at a wider level, that both mental models and mental rules may be used in reasoning.     

A review of: “Dementia reconsidered: The person comes first”

Tom Kitwood (1997) Dementia Reconsidered: the Person Comes First, Buckingham and Philadelphia: Open University Press, pp. 160, $14.99 (pb), $45.00 (hb)     

Psychopathy traits and the processing of emotion words: Results of a lexical decision task

Research has indicated that individuals possessing psychopathic traits exhibit a deficit in the processing of emotional stimuli. Lexical decision task studies found that psychopathic individuals do not demonstrate affective facilitation in processing emotional words relative to nonpsychopathic individuals. However, these investigations have not examined processing of discrete affective categories and their relation to the callous/unemotional (F1) and impulse control/antisocial (F2) factors of psychopathy. Sixty undergraduate men completed a self-report measure of psychopathy traits and a lexical decision task assessing response latencies to anger, sadness, fear, and happiness words. Results reflected an association between F2 and a heightened experience of anger, whereas F1 was associated with a diminished experience of sadness. Findings are discussed in terms of the relation to existing research using alternative methods of processing affect.