Evaluation and Treatment of Pathological Gambling

The aim of this article was to describe a model for evaluating and implementing cognitive-behavioral treatment for pathological gambling. The model takes into account the fact that pathological gamblers form a heterogeneous group with varied biopsychosocial characteristics.     

Equitable Selection in Bilateral Matching Markets

This paper presents a procedure to select equitable stable allocations in two-sided matching markets without side payments. The Equitable set is computed using the Equitable algorithm. The algorithm limits the set of options available for each agent throughout the procedure. The stable matchings selected are generally not extreme, form a lattice and satisfy the condition of being “Ralwsian” in each partition of the market. The Equitable algorithm can also be used to select a particular matching from the Equitable Set favoring particular agents independent of the side of the market to which they belong.     

The use of formal inventory control models: A preliminary survey

Of the many papers and texts on the subject of inventory control, relatively few report the successful implementation of systems based on formal mathematical models developed with specific objectives in mind. This could be considered rather strange in the light of the relatively high number of papers reporting the development of models for dealing with a multitude of different hypothetical situations, and the widespread availability of computer systems capable of exploiting such models. Various reasons for this anomaly can be put forward. This paper reports the results of a preliminary survey designed to investigate this more deeply, and draws some necessarily tentative conclusions relating to factors contributing to the successful application of such systems.     

The Dynamics of Social Indicator Research for California’s Central Valley in Transition

How can social indicator research improve understanding of community health as well as inform stakeholders about the assets disadvantaged communities have for coping with disparities? This paper describes the development and evolution of the Partnership for Assessment of Communities (PAC) and its best practices for social indicator research. The PAC will be of interest to researchers across multiple disciplines for a number of reasons. First, PAC is a working model of best practices for multidisciplinary scholarly inquiry. Second, it has developed an integrated model of quantitative and qualitative methodology to define and measure community health as compared to traditional quality-of-life indicators. Third, it serves as an example of “action research,” in that the findings have the potential to make an impact on community stakeholders and policy outcomes in the greater Central San Joaquin Valley of California, a region characterized by deep social and economic disparities.     

The sample size debate: response to Norman Blaikie

In his detailed response to our paper on sample size in qualitative research, Norman Blaikie raises important issues concerning conceptual definitions and taxonomy. In particular, he points out the problems associated with a loose, generic application of adjectives such as ‘qualitative’ or ‘inductive’. We endorse this concern, though we suggest that in some specific contexts a broad categorization may be more appropriate than a more nuanced distinction – provided that it is clear in which sense the terms are employed. However, other concepts, such as saturation, do not lend themselves to generic use, and require a more detailed conceptualization. Blaikie’s analysis also makes it clear that meaningful discussion of sample size in qualitative research cannot occur with reference to an undifferentiated conception of the nature of qualitative research; clear distinctions need to be made within this approach in terms of methodology, ontological and epistemological assumptions and broader research paradigms.     

Clustering to reduce regional heterogeneity: A spanish case-study

Statistical methods of dimension reduction and classification are used to obtain homogeneous local-area clustering with regard to the most relevant demographic parameters. The dimension reduction is conducted in two stages using Principal Component Analysis and a modified k-mean procedure is proposed to determine the final clusters. This clustering will be useful in future demographic studies at a local level, in particular to obtain forecasts of demographic rates and population projections. The region of Castile and León in Spain is used to illustrate the method. A Poisson model is used to explore the advantages of the new clustering over the more conventional classification based on provinces.     

A Domain Conceptualization of Adolescent Susceptibility to Peer Pressure

This study tested a domain conceptualization of adolescent susceptibility to peer pressure. Using the peer pressure domains identified by Clasen and Brown (1985) , five susceptibility domains were proposed although only four (family involvement, school involvement, peer involvement, and misconduct) were tested. In terms of measurement, cross‐validated results showed that the model with the four domains provided the best fit. In terms of age and sex patterns, the different susceptibilities were characterized by different patterns of age trends and sex differences. In terms of incremental validity, all four susceptibilities predicted behavior in their domains beyond other potential predictors. In terms of relations with a theoretical correlate, the four susceptibilities were differentially related to parental knowledge of adolescents' lives. This overall pattern of results provides converging support for the domain conceptualization.     

The Multilinear Extension and the Symmetric Coalition Banzhaf Value

Alonso-Meijide and Fiestras-Janeiro (2002, Annals of Operations Research 109, 213–227) proposed a modification of the Banzhaf value for games where a coalition structure is given. In this paper we present a method to compute this value by means of the multilinear extension of the game. A real-world numerical example illustrates the application procedure. MSC (2000) Classification: 91A12     

Will evolutionary psychology become extinct? Evolutionary psychology as the Leaning Tower of Pisa

ABSTRACT

Evolutionary psychology has as its foundation the classical Darwinian-Wallace theory of evolution. Using this theory as a guideline, evolutionary psychologists have interpreted human behaviors from an adaptationist outlook using a circular logic wherein no matter what the behavior is being looked at it is always given an evolutionary rationale. Additionally, there is much speculation as to evolutionary effects in the past and these speculations are seen as factual. Furthermore, there is evidence that the classical theory is flawed in that the emphasis on adaptation as the basis for evolution is incorrect. In that there is no actual evidence that Natural Selection (i.e., adaptation) has led to speciation. Previous scientists who have criticized the classical theory are cited, who made the case for speciation having occurred through a sudden “saltationist” process rather than the classical gradual process. As such, the author predicts that evolutionary psychology may ultimately become extinct as a subdiscipline.