The purpose of this research is to investigate the relationship between science achievement and affective characteristics of Turkish students who participated in TIMMS 2011. For this purpose a structural regression model analysis is conducted to test the relationships among the “student engaged in Science”, “student confident in Science”, “student value Science”, “student like learning Science” and “student Science achievement”. According to the results of the regression analyses, while “Student confident in Science” and “student engaged in Science” have a negative correlation with “Student Science Achievement”, “student like learning Science” and “student value Science” have a positive correlation with “Student Science Achievement”. Also, it is found that students’ Science affective characteristics have a positive and linear correlation with each other.
There are many views on how human decision makers
behave. In this work, the Justices of the United States Supreme Court
will be viewed in terms of constrained maximization and cognitivecybernetic
theory. This paper will integrate research in such fields as
law, political science, psychology, economics and decision making
theory. It will be argued that due to its heavy workload, the Supreme
Court is forced to make decisions in a boundedly rational manner.
The ideas and theory put forward here will be tested in the area of the
Court’s decisions involving religion. Therefore, the cases involving
the U.S. Constitution’s Free Exercise Clause and Establishment
Clause will be analyzed. Also, variables such as the U.S.
government’s involvement in these cases will be considered. The
years to be studied will be 1987-2011.
Nowadays the promotion of the public transportation system in the Bangkok Metropolitan Area is increased such as the “Free Bus for Thai Citizen” Campaign and the prospect of the several MRT routes to increase the convenient and comfortable to the Bangkok Metropolitan area citizens. But citizens do not make full use of them it because the citizens are lack of the data and information and also the confident to the public transportation system of Thailand especially in the time and safety aspects. This research is the Public Transport Planning System by Dijkstra Algorithm: Case Study Bangkok Metropolitan Area by focusing on buses, BTS and MRT schedules/routes to give the most information to passengers. They can choose the way and the routes easily by using Dijkstra STAR Algorithm of Graph Theory which also shows the fare of the trip. This Application was evaluated by 30 normal users to find the mean and standard deviation of the developed system. Results of the evaluation showed that system is at a good level of satisfaction (4.20 and 0.40). From these results we can conclude that the system can be used properly and effectively according to the objective.