At Last the Avizandum Show

While television has portrayed the law and lawyers as an entertainment over the years, until recently the legal profession has had little to do with television. Lately, however, television has been used with considerable success and increasing frequency as an instructional medium in the continuing education of lawyers in Scotland. The author describes the background and early experiments in the use of television and demonstrates some of the ways in which television is now contributing to the training work of the Law Society of Scotland.     

An examination of the cohesion‐performance relationship in university hockey teams

The objective of this study was to assess, using the Group Environment Questionnaire, whether team cohesion in university‐level field hockey was a cause for, or an effect of, successful performance. A quasi‐experimental longitudinal design with cross‐lagged correlational analysis was adopted and measures of cohesion and performance were taken midway and later in the season. The results of the synchronous correlations showed a positive relationship (with good stationarity) between team cohesion and performance outcome. Although nonsignificant cross‐lagged differentials indicated a circular relationship, the magnitudes of both the cross‐lagged correlations and the partial correlations, together with multiple‐regression analyses, revealed that the stronger flow was from cohesion to performance. The socially oriented aspects of cohesion, in particular, had significant associations with performance. The results imply that cohesion‐performance relationships should be examined within a circular model, in which cohesion and performance are interdependent.     

Why might relative fit indices differ between estimators?

Previous research indicates that relative fit indices in structural equation modeling may vary across estimation methods. Sugawara and MacCallum (1993) explained that the discrepancy arises from difference in the function values for the null model with no further derivation given. In this study, we derive explicit solutions for parameters of the null model. The null model specifies the variances of the observed variables as model parameters and fixes all the covariances to be zero. Three methods of estimation are considered: the maximum likelihood (ML) method, the ordinary least squares (OLS) method, and the generalized least squares (GLS) method. Results indicate that ML and LS yield an identical estimator, which is different from GLS. Function values and associated chi‐square statistics of the null model vary across estimation methods. Consequently, relative fit indices using the null model as the reference point in computation may yield different results depending on the estimation method chosen. An illustration example is given and implications of this study are discussed.     

An innovative concept map approach for improving students' learning performance with an instant feedback mechanism

Concept maps have been widely employed for helping students organise their knowledge as well as evaluating their knowledge structures in a wide range of subject matters. Although researchers have recognised concept maps as being an important educational tool, past experiences have also revealed the difficulty of evaluating the correctness of a concept map. It usually takes days or weeks for teachers to manually evaluate the concept maps developed by students; consequently, the students cannot receive timely feedback from the teachers, which not only affects their learning schedules, but also significantly influences the students' learning achievements. In this paper, a computer‐based concept map‐oriented learning strategy with real‐time assessment and feedback is proposed in order to cope with the problems mentioned above. Our approach provides immediate evaluation of concept maps and gives also real‐time feedback to the students. An experiment has been conducted to evaluate the effectiveness of this new strategy in comparison with the conventional computer‐based concept map approach. It is found that our innovative approach can be significantly beneficial to promote learning achievements as well as the learning attitudes of students.