What the family brings: gathering evidence for strengths-based work

Families attending child and adolescent mental health (CAMH) services are often assumed to have problems in key areas such as communication, belonging/acceptance and problem-solving. Family therapy is often directed towards addressing these difficulties. With increasing emphasis in family therapy and human services fields over the last decade on identifying and building from strengths, a different starting point has been advocated. This paper describes a large survey of the self-reported pre-therapy functioning of children and families using a public CAMH service (n=416). Before commencing family therapy parents identified family strengths across a range of key areas, despite the burden of caring for children with moderate to severe mental health problems. This evidence supports theoretical and clinical work that advocates a strengths perspective, and highlights how resilience framed in family (and social) rather than individual terms enables a greater appreciation of how strengths may be harnessed in therapeutic work.     

When the Advantaged Become Disadvantaged: Men's and Women's Actions Against Gender Discrimination

Intergroup theories suggest that different social identities will either discourage or encourage the taking of action against discrimination (Bartky, 1977; Jost & Banaji, 1994). However, research (e.g., Branscombe, 1998) has shown that discrimination is a less negative experience for men than for women. As such, it is possible that men may take greater action than women, regardless of identity. However, men's response to their perceived disadvantage had not yet been tested. Among those induced to ascribe to a gendered stereotype identity, men endorsed more action than women did. Among those induced to ascribe to an identity based on a gendered social experience, women endorsed marginally more action than men did. Differences in responses are proposed to be a function of the different efficacy levels developed by each gender within each social identity.     

Identifying reading strategies using latent semantic analysis: comparing semantic benchmarks.

We explored methods of using latent semantic analysis (LSA) to identify reading strategies in students' self-explanations that are collected as part of a Web-based reading trainer. In this study, college students self-explained scientific texts, one sentence at a time. ISA was used to measure the similarity between the self-explanations and semantic benchmarks (groups of words and sentences that together represent reading strategies). Three types of semantic benchmarks were compared: content words, exemplars, and strategies. Discriminant analyses were used to classify global and specific reading strategies using the LSA cosines. All benchmarks contributed to the classification of general reading strategies, but the exemplars did the best in distinguishing subtle semantic differences between reading strategies. Pragmatic and theoretical concerns of using LSA are discussed.     

Separating the influences of escape and access to preferred activities on problem behavior occurring in instructional contexts

Two individuals with developmental disabilities were observed to engage in destructive behavior when demands were presented, suggesting that the behaviors were maintained by negative reinforcement. Subsequent analyses revealed that (i) the behavior problems persisted when the participants were asked to cease a high‐probability, ongoing activity (walking) while demands were not presented and (ii) problem behaviors ceased when the participants were trained to request access to walking through appropriate means. These findings suggested that the presentation of demands, per se, was not the critical variable in maintaining destructive behavior. Rather, it appeared that restricting the participants from walking, which was only coincidentally necessary in the initiation of demands, set the occasion for the aberrant responses. Subsequent analyses were conducted with one participant to further strengthen this hypothesis. These findings are discussed in terms of the utility of seeking out idiosyncratic and individualized behavioral functions subsequent to initial assessments and their contribution to the growing body of literature regarding the complex interactions of destructive behavior and other naturally occurring high‐rate behaviors. Copyright © 2004 John Wiley & Sons, Ltd.     

Application of Latent Semantic Analysis to Divergent Thinking is Biased by Elaboration

Scoring divergent‐thinking response sets has always been challenging because such responses are not only open‐ended in terms of number of ideas, but each idea may also be expressed by a varying number of concepts and, thus, by a varying number of words (elaboration). While many current studies have attempted to score the semantic distance in divergent‐thinking responses by applying latent semantic analysis (LSA), it is known from other areas of research that LSA‐based approaches are biased according to the number of words in a response. Thus, the current article aimed to identify and demonstrate this elaboration bias in LSA‐based divergent‐thinking scores by means of a simulation. In addition, we show that this elaboration bias can be reduced by removing the stop words (for example, and, or, for and so forth) prior to analysis. Furthermore, the residual bias after stop word removal can be reduced by simulation‐based corrections. Finally, we give an empirical illustration for alternate uses and consequences tasks. Results suggest that when both stop word removal and simulation‐based bias correction are applied, convergent validity should be expected to be highest.     

Nonparametric Calibration of Item-by-Attribute Matrix in Cognitive Diagnosis

A nonparametric technique based on the Hamming distance is proposed in this research by recognizing that once the attribute vector is known, or correctly estimated with high probability, one can determine the item-by-attribute vectors for new items undergoing calibration. We consider the setting where Q is known for a large item bank, and the q-vectors of additional items are estimated. The method is studied in simulation under a wide variety of conditions, and is illustrated with the Tatsuoka fraction subtraction data. A consistency theorem is developed giving conditions under which nonparametric Q calibration can be expected to work.     

A Purely Recombinatorial Puzzle

A new puzzle of modal recombination is presented which relies purely on resources of first‐order modal logic. It shows that naive recombinatorial reasoning, which has previously been shown to be inconsistent with various assumptions concerning propositions, sets and classes, leads to inconsistency by itself. The context sensitivity of modal expressions is suggested as the source of the puzzle, and it is argued that it gives us reason to reconsider the assumption that the notion of metaphysical necessity is in good standing.