The purpose of this research was to determine if presentation format, given a particular task to be performed, would affect the decision-making process of financial decision makers. The problem motivating this study is the potential for managers to make inefficient decisions when they use reports which are presented inappropriately for a given task.

The purpose of this study was to test the comparability of several psychological instruments commonly used in Information Systems (IS) cognitive style research. The objective was to determine the limitations of: existing instruments in IS cognitive style research. The motivation for this research was the inconclusive findings reported in IS human information processing research. The study used a repeated measures design. Each individual completed the following cognitive style and personality instruments; the Myers-Briggs Type Indicator, the Group Embedded-figures Test, the Learning Style Inventory, the Human Information Processing Survey, and the Torrance Tests of Creative Thinking (Figural Form A). The individual also completed a dichotic listening and tachistoscope task. Data was collected from business administration, BCIS, liberal arts majors, and IS professionals. The results of this study indicate IS researchers need to consider several factors in the use of these instruments. A direct relationship exists between cognitive ability and results on the GEFT. Cognitive ability should be considered a moderating variable in interpreting the results of the GEFT. Also, the hypothesis that the GEFT is a surrogate for analytical and low-analytical abilities is not supported by this study. Other reported results include the inappropriateness of using the TTCT with adult populations. …

In this study a two-part mixed probability density function was derived which described the relative changes in the Standard and Poor's 100 Stock Index over various intervals of time. The density function is a mixture of two different halves of normal distributions. Optimal values for the standard deviations for the two halves and the mean are given. Also, a general form of the function is given which uses linear regression models to estimate the standard deviations and the means. The density functions allow stock market participants trading index options and futures contracts on the S & P 100 Stock Index to determine probabilities of success or failure of trades involving price movements of certain magnitudes in given lengths of time.