On the return of art investment return analyses

We survey more than twenty studies estimating rates of return of investments in single art objects and whole collections and evaluate the various approaches to art price movements taken so far. The majority of the estimates find lower returns for investments in art objects than for investments in financial assets. However, most existing analyses are restricted to auction data and neglect transactions cost and taxation. They partly focus on mechanistic calculations and disregard the distinguishing institutional and behavioral characteristics of art markets. We look into the possibilities to capture and empirically estimate psychic returns from owning art.     

The Value of Cause and Effect Analysis in Developing Ability to Recognize Cause and Effect Relationships

Researchers in the behavioral sciences have utilized “ANOVA theory” to test research hypotheses ever since R. A. Fisher first derived the solution. There are, however, limitations to classical ANOVA, particularly with respect to the handling of unbalanced design, continuous independent variables, and multiple covariates. Further, classical ANOVA fails to provide a strength of relationship index. The authors provide evidence which demonstrates that ANOVA is a special case of a multivariate procedure termed “multiple regression.” Because multiple regression is the more general method, it is capable of handling data which have traditionally been a nemesis for ANOVA researchers. Since multiple regression is a more powerful method of statistical analysis, and since it also provides a strength of relationship index, the authors argue that it be used in place of ANOVA in educational research. Also discussed is the coding of categorical variables as well as available computer programs for multiple regression.     

Developing a model on improving maritime English training for maritime transportation safety

Maritime services form an integral part of what regulatory agencies requires for the safe navigation and operation of vessels. Therefore, the maritime industry’s compliance with governmental regulations and international protocols has been essential for maritime safety management. As a basis to this aspect, the preparation of maritime students as the forthcoming maritime officers in the future has been a crucial point by the maritime educators in terms of maritime safety. Although English was adopted as the official language of the maritime industries by the International Convention on Standards of Training, Certification and Watchkeeping (STCW Convention) in 1978, many difficulties remain in the teaching and assessing of Maritime English at maritime schools. Some research has examined these difficulties; however, no successful models for improving. Maritime English have been adopted Parallel to the teaching and assessing problems, there have also been many difficulties in reaching a training and testing proficiency in English communication that meets the international standards of the STCW requirements in the maritime industry. This paper concentrates upon the difficulties of teaching and assessing the outcomes of the teaching of Maritime Transportation English at the member schools of the International Association of Maritime Universities (IAMU) from all over the world. As a first step in the methodology of this study, a survey of techniques used at member schools of the IAMU is conducted to solve some difficulties in assessing the teaching of Maritime English. Then a positioning model is developed to identify and measure the positions of the IAMU member schools in comparison to one another by using a multidimensional scaling technique to analyse the multivariate data received through questionnaires. This information provides the foundation upon which the model of this research is built. Consequently, some strategies based upon the results of the analysis are developed to reduce the problems and difficulties in this context.     

Student learning behaviours as a means for a cognitive evaluation of a physics program

The formative evaluation model presented here examines the character of classroom interaction by juxtaposing required and performed student learning behaviours. We use the concept of learning behaviours as a tool for the examination of interactions among the commonplaces of learning (students, teachers, and curriculum materials). We define learning behaviours as actions performed by the students as a result of learning stimuli that are presumed to advance the student towards the acquirement of new knowledge. Learning behaviours may have negative as well as positive outcomes. For example, the identification of variables in an experiment, a required learning behaviour, might very possibly lead to the identification of non-relevant as well as relevant variables. This could lead to the development of misconceptions concerning conclusions drawn from the experiment. Hopefully, such student misconceptions arising from the materials would be identified during the process of formative evaluation. The evaluation model described here is an integral part of a curriculum project aimed at the development of learning materials in physics for technical vocational high schools. In particular, the materials are intended to teach basic principles of physics to students of poor motivation and limited ability. They are oriented towards the needs of technical vocational students and present physics and technology as complementary disciplines (Finegold & Reiner, 1984).