Hierarchical classes: Model and data analysis

A discrete, categorical model and a corresponding data-analysis method are presented for two-way two-mode (objects × attributes) data arrays with 0, 1 entries. The model contains the following two basic components: a set-theoretical formulation of the relations among objects and attributes; a Boolean decomposition of the matrix. The set-theoretical formulation defines a subset of the possible decompositions as consistent with it. A general method for graphically representing the set-theoretical decomposition is described. The data-analysis algorithm, dubbed HICLAS, aims at recovering the underlying structure in a data matrix by minimizing the discrepancies between the data and the recovered structure. HICLAS is evaluated with a simulation study and two empirical applications.This research was supported in part by a grant from the Belgian NSF (NFWO) to Paul De Boeck and in part by NSF Grant BNS-83-01027 to Seymour Rosenberg. We thank Iven Van Mechelen for clarifying several aspects of the Boolean algebraic formulation of the model and Phipps Arabie for his comments on an earlier draft.     

An automated test development of parallel tests from a seed test

Binary programming models are presented to generate parallel tests from an itembank. The parallel tests are created to match item for item an existing seed test and match user supplied taxonomic specifications. The taxonomic specifications may be either obtained from the seed test or from some other user requirement. An algorithm is presented along with computational results to indicate the overall efficiency of the process. Empirical findings based on an itembank for the Arithmetic Reasoning section of the Armed Services Vocational Aptitude Battery are given.The Office of Naval Research, Program in Cognitive Science, N00014-87-C-0696 partially supported the work of Douglas H. Jones. The Rutgers Research Resource Committee of the Graduate School of Management partially supported the work of Douglas H. Jones and Ing-Long Wu. A Thomas and Betts research fellowship partially supported the work of Ing-Long Wu. The Human Resources Laboratory, United States Air Force, partially supported the work of Ronald Armstrong. The authors benefited from conversations with Dr. Wayne Shore, Operational Technologies, San Antonio, Texas. The order of authors' names is alphabetical and denotes equal authorship.     

Two-step weighted least squares factor analysis of dichotomized variables

A two-step weighted least squares estimator for multiple factor analysis of dichotomized variables is discussed. The estimator is based on the first and second order joint probabilities. Asymptotic standard errors and a model test are obtained by applying the Jackknife procedure.     

Tucker3 hierarchical classes analysis

This paper presents a new model for binary three-way three-mode data, called Tucker3 hierarchical classes model (Tucker3-HICLAS). This new model generalizes Leenen, Van Mechelen, De Boeck, and Rosenberg's (1999) individual differences hierarchical classes model (INDCLAS). Like the INDCLAS model, the Tucker3-HICLAS model includes a hierarchical classification of the elements of each mode, and a linking structure among the three hierarchies. Unlike INDCLAS, Tucker3-HICLAS (a) does not restrict the hierarchical classifications of the three modes to have the same rank, and (b) allows for more complex linking structures among the three hierarchies. An algorithm to fit the Tucker3-HICLAS model is described and evaluated in an extensive simulation study. An application of the model to hostility data is discussed.The first author is a Research Assistant of the Fund for Scientific Research-Flanders (Belgium). The research reported in this paper was partially supported by the Research Council of K.U. Leuven (GOA/2000/02). We are grateful to Kristof Vansteelandt for providing us with an interesting data set.     

Apprendre à résoudre des problèmes en favorisant la construction d’une représentation alternative chez des élèves scolarisés en éducation prioritaire

In arithmetic problems solving, the representation of the problem spontaneously induced by the content of the statement is not always compatible with the solving strategy. This study evaluates a learning approach designed to lead pupils to build an alternative representation to the one spontaneously induced. In this paper, we evaluate the efficiency of this learning approach with children with learning difficulties enrolled in a priority education network. This learning by semantic recoding is a process based on an analogy between the problems and a comparison of strategies. The results show that after learning, the pupils built alternative representations.     

Logique interlocutoire de la résolution en dyade d'un problème d'arithmétique

For about thirty years now, an increasingly large number of robust and incontestable experimental findings have been arguing for the idea that, under certain conditions, interaction promotes the acquisition of cognitive skills, a phenomenon that cannot be clarified by multiplying the number of experiments. To progress, we must have tools designed for studying interaction as it actually affects the interlocutors. This means starting from the "surface" level of interactive dynamics and, step-by-step, constructing the stages of the interaction. This is the aim of interlocutory logic. We use it here to interpret the interlocutory behavior of a child conversing with another child as they solve an arithmetic problem, and to show that the dyadic cosolving process facilitates the acquisition of proportionality. The intersubjective processes that modify cognitions across situations are identified.     

Tests of a Cognitive-Resource-Allocation Account of the Bizarreness Effect

The authors examined the role of cognitive-resource allocation in obtaining the often reported memory advantage for bizarre relative to common information by using the secondary-task method in 4 experiments. In Experiments 1 and 2, they investigated the relationship between differences in cognitive resource allocation during comprehension and in recall for common and bizarre information. In Experiments 3 and 4, they investigated the same relationship but measured cognitive-resource allocation during imaging rather than during comprehension. Although bizarre items required more time to comprehend and to image than did common items, the differences were not reliable predictors of the recall differences between item types. Furthermore, analyses of response latencies to a secondary task provided no compelling evidence in support of a cognitive-resource-allocation explanation of bizarreness effects. Implications for the development of a comprehensive model of the influence of bizarreness on memory are discussed.     

Promoting Cognitive,Emotional, and Spiritual Client Change: The Infusion of Solution‐Focused Counseling and Ritual Therapy

Solution‐focused brief counseling offers clients an opportunity to find solutions to problems and evoke cognitive change. This treatment modality is criticized for negating the emotional and spiritual aspects of client change. The authors propose that the inclusion of rituals in solution‐focused brief counseling can enhance the counseling experience for clients by encouraging meaningful cognitive, emotional, and spiritual change. A new model, Brief Solution Rituals, was developed to incorporate the use of rituals into solution‐focused counseling. The 6‐phase model, example clinical scenarios, and a case study are presented in this article. The strengths and potential limitations of the new model are discussed.