Construction of a tape-controlled system of presenting visual-spatial and visual-temporal stimulus patterns for use in cross-modal and intramodal matching tests

A technique of tape construction is described for use in the generation and control of all combinations of auditory-temporal, visual-temporal, and visual-spatial stimulus patterns. This technique allows the development of a set of nine tasks for testing cross-modal and intramodal matching.     

Theory and method for research on aptitude processes

The theoretical and methodological concepts available to, and needed by, research on aptitudes as cognitive processes are discussed. Contemporary views of cognitive processes are examined in relation to individual difference constructs and methods used to examine their reliability and validity. Individual difference constructs are discussed in relation to cognitive process models and research thereon. Studies of short-term memory processes are reviewed to demonstrate the complementary strengths and weaknesses of experimental and correlational methods and concepts. A coordinated approach to the study of aptitude as information processing is suggested.     

The Social Relations of Rural African American Early Adolescents and Proximal Impact of the School Engagement Project

This paper reports on the social relations of rural African American early adolescents and the initial impact of a multilevel universal intervention program aimed at enhancing the productive school engagement of at-risk youth. Students' school social relations were assessed with social cognitive mapping procedures that yield information on peer group membership and social network centrality (i.e., prominence in the social structure). Risk status was determined by cluster analysis of teacher ratings of students' adjustment on multiple dimensions including aggression, academic competence, and popularity. Four subgroups were identified: Model, Aggressive, Troubled, and Below Average. Differences among clusters were found in network centrality and patterns of peer affiliations. In addition, boys in the Below Average and Troubled configurations showed an increase in social prominence after the initial intervention phase.     

Better Late than Never? The Relationship between Ratings of Attendance,Punctuality, and Overall Job Performance among Nursing Home Employees

This study examined the relationship between lateness, absenteeism, and overall job performance among nursing home employees. We addressed four issues: (a) agreement between subordinate and superior in their ratings, (b) the stability of rated lateness and rated absenteeism over 6 months, (c) the correlation between ratings of lateness and absenteeism assigned by the worker to himself or herself and the corresponding ratings from supervisors, and (d) the relationship of rated lateness and rated absenteeism to impressions of overall job performance. Neither attendance nor punctuality showed inter‐rater agreement between the worker and his/her supervisor on either of the two occasions. Ratings of attendance were not stable across time for either the subordinate (r=.16) or the supervisor (r=.04), but punctuality ratings showed moderate temporal stability over 6 months for both subordinate (r=.59) and supervisor (r=. 41) impressions. On the first administration of the rating form, attendance and punctuality were not significantly correlated to each other in either the workers' self‐ratings (r=.17) nor the supervisors' ratings of the workers (r=.08). On the second administration, however, these two facets were moderately correlated with each other in both workers' (r=.54) and supervisors' (r=. 39) impressions of employee behavior. Compared with attendance, punctuality was somewhat more highly correlated with impressions of overall job performance from the perspective of the worker herself/himself as well as the supervisor.     

A review of recent developments in research and theories on human contingency learning

Over the past 20 years, human contingency learning has resurfaced as an important topic within experimental psychology. This renewed interest was sparked mainly by the proposal that associative models of Pavlovian conditioning might also apply to human contingency learning--a proposal that has led to many new empirical findings and theoretical developments. We provide a brief review of these recent developments and try to point to issues that need to be addressed in future research.     

The CHIC Model: A Global Model for Coupled Binary Data

Often problems result in the collection of coupled data, which consist of different N-way N-mode data blocks that have one or more modes in common. To reveal the structure underlying such data, an integrated modeling strategy, with a single set of parameters for the common mode(s), that is estimated based on the information in all data blocks, may be most appropriate. Such a strategy implies a global model, consisting of different N-way N-mode submodels, and a global loss function that is a (weighted) sum of the partial loss functions associated with the different submodels. In this paper, such a global model for an integrated analysis of a three-way three-mode binary data array and a two-way two-mode binary data matrix that have one mode in common is presented. A simulated annealing algorithm to estimate the model parameters is described and evaluated in a simulation study. An application of the model to real psychological data is discussed. T. Wilderjans 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/2005/04). We are grateful to Kristof Vansteelandt for providing us with an interesting data set. We also thank three anonymous reviewers for their useful comments.     

Expectancy confirmation in attitude learning: A connectionist account

Connectionist computer simulation was employed to model how learners acquire attitudes towards novel objects under conditions where (a) they are given prior expectancies that the objects as a whole are mostly good or mostly bad; and (b) they can only discover the true valence of the objects by approaching them. Expectancy confirmation was operationalized through modifying connection weights more after experiencing good than bad objects (positive bias), or more after experiencing bad than good objects (negative bias). Negative bias led the network to misclassify more good objects as bad, such negative attitudes resisting change because of the lack of corrective feedback relating to avoided objects. Conversely, positive bias encouraged approach and hence feedback leading to more accurate discrimination of good and bad objects, as well as to higher estimates of the valence of objects not presented during training. These findings suggest that expectancy confirmation may emerge “automatically” from basic learning processes. Copyright © 2008 John Wiley & Sons, Ltd.