Constructing One Component of a Survey Instrument to Measure the Influence of an Athletic Trainer\u27s Worldview in his Decision Making Process

Athletic trainers are often put in situations where they may be pressured to make morally compromising decisions regarding issues ranging from insurance fraud to substance abuse. The Athletic Training Department at Liberty University seeks to produce findings based on the results of a survey focusing on the role that an athletic trainer\u27s worldview plays in these decision-making processes that shows a correlation between an individual\u27s worldview and the types of decisions he makes. It is the goal of the Liberty University Athletic Training Program to determine how significant the effects of an athletic trainer\u27s worldview would have on the decisions that he makes in a given situation. The purpose of this research project was to develop one of two surveys which will be combined to form the final survey instrument that the Athletic Training Program will use to collect and classify the data concerning the effects of an athletic trainer\u27s worldview in his decision-making process. Designing this research instrument included tasks such as pre-testing reliability, establishing objectivity, and determining variables. These, among other things, were all considerations during the process of constructing such a survey instrument. It is important to note that the purpose of this project was to develop only one of the two surveys which will then be combined to form the final instrument that will be used in a future study by the Athletic Training Program at Liberty University

Experimental Design for Variable Selection in data bases

This paper analyses the influence of 13 stylized facts of the German economy on the West German business cycles from 1955 to 1994. The method used in this investigation is Statistical Experimental Design with orthogonal factors. We are looking for all existing Plackett-Burman designs realizable by coded observations of these data. The plans are then analysed by regression with forward selection and various classification methods to extract the relevant variables for separating upswing and downswing of the cycles. The results are compared with already existing studies on this topic. --