Preschool children's eye‐movements during pictorial recall

We investigated eye‐movements during preschool children's pictorial recall of seen objects. Thirteen 3‐ to 4‐year‐old children completed a perceptual encoding and a pictorial recall task. First, they were exposed to 16 pictorial objects, which were positioned in one of four distinct areas on the computer screen. Subsequently, they had to recall these pictorial objects from memory in order to respond to specific questions about visual details. We found that children spent more time fixating the areas in which the pictorial objects were previously displayed. We conclude that as early as age 3–4 years old, children show specific eye‐movements when they recall pictorial contents of previously seen objects.     

From “4Rs and 2Ss” to “Amaka Amasanyufu” (Happy Families): Adapting a U.S.-based Evidence-Based Intervention to the Uganda Context

In Uganda, one in five children presents mental health challenges, including disruptive behavior disorders (DBDs). DBDs can persist through adulthood and result in negative outcomes. Effective interventions for DBDs have been developed and tested in high-poverty communities in developed countries. Yet, most African countries, such as Uganda, lack such interventions. This paper describes the adaptation process of an evidence-based intervention of U.S. origin to optimize fit to context with intervention fidelity, as part of a randomized trial conducted with youth that exhibit behavioral challenges and their caregivers in 30 schools in Uganda. The process involved: initial meetings with headteachers and teachers to introduce the study and the main concepts of the intervention; initial manual review focusing on 4Rs and 2Ss content by the Uganda team; engagement of community stakeholders for additional feedback on content and cultural relevance; final revision of the manual; and collection of children’s drawings for the illustration of the manual. This paper describes both similarities and differences between the original and adapted intervention content and methods of delivery. The findings also highlight the importance of involving community stakeholders in the adaptation process.     

The masculinity—Irrationality relationship explored: Searching for a common denominator

The purpose of this paper is to explore the relative empirical support for two alternative ways of interpreting the relationship between masculinity and irrationality. The common denominator in this particular relationship was theoretically assumed to either reflect a person's locus of control expectations or his/her level of self-esteem.Two separate empirical studies were performed with groups of undergraduate university students. Both studies replicated earlier results, thus supporting the masculinity hypothesis as the one accounting for the relationship between sex-role orientation and irrationality.Of the two possible common denominators explaining this relationship, level of self-esteem was the one receiving the strongest empirical support. Some interesting gender differences concerning these two possible common denominators were also found.Ole Johan Hovland, Cand.paed., is Assistant professor of Personality Assessment at the Department of Personality Psychology, University of Bergen, Bergen, Norway, and maintains a small private practice in Laksevåg, Bergen, Norway. FranÇoise De Lange Alsaker, Cand.psychol., is a Research fellow in the field of personality development at the Department of Personality Psychology, University of Bergen, Bergen, Norway. Fred Vollmer, Mag.art., is Senior Lecturer in personality psychology at the University of Bergen, Bergen, Norway.     

Some recollections of Herbert Spiegelberg

This paper is edited from remarks made at the meetings of The Society for Phenomenology and Existential Philosophy and of The Society for Phenomenology and the Human Sciences, Memphis State University, 19 October 1991.     

Type A behaviour and psychological androgyny among Greek college students

Research conducted primarily in the United States suggests that the combination of Type A behaviour, high instrumentality, and low expressiveness may place individuals at relatively high risk for coronary-artery and heart disease. The present research investigates the trans-societal generalizability of the structure, reliability, relationships among, and distributional characteristics of these measures for 117 college students in Athens, Greece. As hypothesized, the Greek students were significantly less instrumental and less expressive than the American students, and scored significantly higher on the measure of Type A. Although there were significant mean differences between these samples, the results suggest that many of the interscale relationships are comparable, supporting an etic (universal) interpretation of the findings. Nevertheless, the results suggested several emic (unique) characteristics of these measures and their interrelationships.     

Overt integrity tests versus personality-based measures of delinquency: An empirical comparison

This study examined the ability of both an overt integrity test and a personality-based measure of delinquency to predict on-the-job theft and counterproductivity. A heterogeneous sample of 105 employees anonymously completed both tests and a criterion checklist that included a 9-item theft subscale and a 12-item counterproductivity subscale. Results indicated that the overt integrity test was a superior predictor of both on-the-job theft and drug abuse compared to the personality-based measure. The overt integrity test was also a slightly better predictor of general counterproductivity. These findings and their implications are discussed.     

The use of computer networks in data gathering and data analysis

In our research, the data are gathered in the laboratory on a DEC PDP-11/24 minicomputer. Once the data are gathered, they are analog-to-digital (A/D) converted and sent by the PDP to an IBM 370-3031. The data are submitted to a Fast Fourier Transform (FFT) on the IBM computer. Once the FFT is completed, the data are accessed by an IBM PC-XT that is equipped with an IRMA system. The PC is used in its emulation mode to access the data in the mainframe. In the mainframe, SPSS or SAS is used to do the initial statistical analyses. When necessary, subsets of the data are transferred to the PC, where other computer programs are used to analyze the data. In many instances, they are returned to the mainframe from the PC, where they are submitted to multivariate statistical analysis. Finally, all of the data are stored on floppy disks, which are prepared on the PC.