A packaging model is presented in this study which attempts to show some important aspects of a consumer's cognitive process in relation to packaging. This packaging model is based on the theories of imagery, emotion, and perception (and sensation). Perception of a packaged good occurs because the motivation system of a consumer selects particular information that the packaged good provides. Unlike the situation which occurs in behaviorism, stimulus is as important as response, and motivation explains why people don't perceive all the information available in the environment. When perception occurs, two subsequent responses are possible in the mind of a consumer: the connotative response and the denotative response. A connotative response is an evaluation of the perceived, i.e. emotion. Denotative response is imagery which is produced by conditioned sensory response. Imagery may elicit emotional response. Thus, imagery may reinforce consumer behavior positively or negatively. Emotion with regard to a packaged good is, then, the combination of emotions elicited by the perceived and the imagery evoked. This packaging model tries to explain purchasing behavior through the concepts of imagery and emotion.

The purpose of this research was to determine if personality type and system response time have any effect on state anxiety and user response time. The sample for this study consisted of senior and graduate level college students who possessed basic know 1 edge of a text editor. Each test subject was administered the Jenkins Activity Survey to determine scores for Type A versus Type B, speed and impatience, involvement, and competitiveness. The test subjects were randomly assigned to one of three treatment groups (good, variable, and poor system response time). They were required to edit a text file which contained multiple errors. The test subjects were provided hard copies of the file with errors (errors highlighted) and the file as should appear without the errors. The test situation for each test subject was identical, except for changes in system response time. The A-state scale of the State-Trait Anxiety Inventory (STAI) was administered to the test subjects immediately prior to the edit task in order to determine pre-task state anxiety levels. The A-state scale of the STAI was again administered immediately after the edit task in order to determine post-task state anxiety levels. Analysis of variance, analysis of covariance, regression, …

This research is a systematic, in depth empirical test of the strong form of the efficient market hypothesis (EMH) using the dual-fund industry as the research subject. Unlike most strong-form EMH research, this study deals with a small, homogeneous sector of the investment company industry with a comparable origin date. To obtain homogeneity of the research subjects, the sample size is necessarily small (7), thus, making it difficult to find statistically significant results. In general, portfolio performance is negatively correlated with variability in measures of portfolio characteristics such as the major mix, common stock categories, portfolio turnover, etc. The better-performing dual funds were more consistently managed while the lower-performing companies had significant and sometimes frequent changes in portfolio policies. In line with the efficient market hypothesis, "passive" management, i.e., low turnover, few changes in major mix or common stock composition, shows better results in the dual-fund industry from inception through 1973.

The classical normal curve approximation to cumulative hypergeometric probabilities requires that the standard deviation of the hypergeometric distribution be larger than three which limits the usefulness of the approximation for small populations. The purposes of this study are to develop clearly-defined rules which specify when the normal curve approximation to the cumulative hypergeometric probability distribution may be successfully utilized and to determine where maximum absolute differences between the cumulative hypergeometric and normal curve approximation of 0.01 and 0.05 occur in relation to the proportion of the population sampled.

Despite the obvious importance attached to the psychological significance of height and weight in everyday life, few researchers have studied the relationship of these variables to the sales performance of ordinary life insurance salesmen. In the present study, it was hypothesized that (1) taller and/or heavier ordinary life insurance salesmen are more successful than shorter and/or lighter ordinary life insurance salesmen; (2) those who possess more "ideal statures" are more successful than those who do not; and, secondarily, (3) life insurance companies tend to hire taller and/or heavier applicants for life insurance sales positions. The results of this study offer further support for the view that many sales managers and recruiters tend to believe that "the bigger they are, the better," and to select applicants accordingly, with the qualification that in this sample, female agents were taller, but lighter than average. These findings are discussed in terms of their implications for the life insurance industry and future investigations.