Predictors of Workaholism Components and Behaviors

This study examined the relationship of three types of predictors of self-reported workaholism components and workaholic job behaviors: individual demographics, work situation characteristics, and two substantive workaholism antecedents (personal beliefs and fears, perceptions of organizational support of work-personal life imbalance). Data were collected from 530 women and men managers and professionals using anonymous questionnaires. The three blocks of predictors explained statistically significant but moderate levels of variance in workaholism components and workaholic job behaviors. The two substantive workaholism antecedents showed somewhat consistent relationships with the criterion measures. Participants more strongly endorsing the beliefs and fears and participants perceiving greater organizational support of work-personal life imbalance generally indicated higher levels of workaholism components and workaholic job behaviors.     

The integration of individual and family therapy

It is time to put an end to the separation in training programs between individual and family therapy. Competent therapists should be able to think at an intrapsychic and circular level concurrently. Training programs should maintain their current major focus and develop their minor area of expertise sufficiently so that their graduates can practice both individual and family therapy and choose whichever modality is more appropriate to the case at the time. Bridge concepts, essential differences, and some integrative approaches in individual and marriage and family therapy are discussed.     

短时距知觉中的面积效应

初步探讨了短时距（１─５ｓ）下时距刺激的面积大小和立体框架大小对时距知觉的影响及其成因。结果表明：刺激的面积大小对短时距知觉的影响极其显著;存在两种不同反应类型的被试─－大小依存者与非大小依存者,在不同反应类型的被试中刺激的立体框架大小对短时距知觉的影响不同,刺激的立体框架大小对大小依存者的短时距知觉的影响极其显著,但对非大小依存者的影响不显著。     

The status of the concept of intelligence

Psychometric studies have shown that “general intelligence” should be broken down into the ability to apply learned solutions to new problems (crystallized intelligence) and the ability to deal with novel intellectual problems (fluid intelligence). This distinction has been amplified upon by studies of individual differences in information processing. Crystallized intelligence depends on the problem-solving schema that people have acquired and upon their efficiency in accessing information in long-term memory. Fluid intelligence is associated with the ability to access and manage relatively large amounts of information in working memory. Measures of fluid and crystallized intelligence are important predictors of objectively measured workplace performance. Studies of actual and simulated workplaces have shown that this is largely due to differences in people's ability to manage information and the speed with which the details of a job can be grasped.     

THE EFFECTS OF ACCESS TO SPECIAL ACTIVITIES ON THE PERFORMANCE IN FOUR CATEGORIES OF ACADEMIC TASKS WITH THIRD-GRADE STUDENTS1

An ABAB experimental design was used to evaluate the effects of access to recreational activities contingent on the completion of at least 80% of academic tasks assigned daily. Requirements in four task categories (writing, copying words, spelling, and dictionary skills) were specified daily and students were required to complete at least 80% of the requirements in each category correctly in order to participate in daily recreational activities. The procedure produced reliable and educationally important increases in the task performance of all 19 third-grade students in the study. Most of the difference in the performance of each child between experimental conditions was on the spelling and dictionary tasks, although there were also improvements on the writing and words-copied tasks for those students showing the greatest overall change in performance. The procedure was easily implemented by the teacher alone, required only materials and equipment typically found in elementary schools, and produced changes in performance important enough to the teacher that she continued to use the basic procedure after the evaluation program was terminated.     

Multidimensional rotation and scaling of configurations to optimal agreement

An integrated method for rotating and rescaling a set of configurations to optimal agreement in subspaces of varying dimensionalities is developed. The approach relates existing orthogonal rotation techniques as special cases within a general framework based on a partition of variation which provides convenient measures of agreement. In addition to the well-known Procrustes and inner product optimality criteria, a criterion which maximizes the consensus among subspaces of the configurations is suggested. Since agreement of subspaces of the configurations can be examined and compared, rotation and rescaling is extended from a data transformation technique to an analytical method.     

Interpersonal contingencies: Performance differences and cost-effectiveness

Three reinforcement contingencies were compared with regard to performance differences and cost-effectiveness (i.e., responses per unit reinforcer). Pairs of college students were studied under individual, cooperative, or competitive contingencies using a concurrent setting that included one of these three contingencies as one alternative and a lower paying individual contingency as the other alternative. With the individual and the cooperative contingencies, overall response rates were typically high; under competitive contingencies the overall response rates were substantially lower. Subjects responded at very high rates when competing, but chose not to compete most of the time. Competition and cooperation produced the most cost-effective responding, assessed as the number of responses made per $.01 of reinforcer. High overall rates of competitive responding were obtained when the contests were longer and the lower paying alternative contingency was not available.     

A multidimensional scaling model for the size-weight illusion

The kinds of individual differences in perceptions permitted by the weighted euclidean model for multidimensional scaling (e.g., INDSCAL) are much more restricted than those allowed by Tucker's Three-mode Multidimensional Scaling (TMMDS) model or Carroll's Idiosyncratic Scaling (IDIOSCAL) model. Although, in some situations the more general models would seem desirable, investigators have been reluctant to use them because they are subject to transformational indeterminacies which complicate interpretation. In this article, we show how these indeterminacies can be removed by constructing specific models of the phenomenon under investigation. As an example of this approach, a model of the size-weight illusion is developed and applied to data from two experiments, with highly meaningful results. The same data are also analyzed using INDSCAL. Of the two solutions, only the one obtained by using the size-weight model allows examination of individual differences in the strength of the illusion; INDSCAL can not represent such differences. In this sample, however, individual differences in illusion strength turn out to be minor. Hence the INDSCAL solution, while less informative than the size-weight solution, is nonetheless easily interpretable.This paper is based on the first author's doctoral dissertation at the Department of Psychology, University of Illinois at Urbana-Champaign. The aid of Professor Ledyard R Tucker is gratefully acknowledged.     

An individual differences additive model: An alterating least squares method with optimal scaling features

An individual differences additive model is discussed which represents individual differences in additivity by differential weighting of additive factors. A procedure for estimating the model parameters for various data measurement characteristics is developed. The procedure is evaluated using both Monte Carlo and real data. The method is found to be very useful in describing certain types of developmental change in cognitive structure, as well as being numerically robust and efficient.The work reported here was partly supported by Grant A6394 to the first author by the Natural Sciences and Engineering Research Council of Canada.