This dissertation has explored the origins of the field of Behavioral Disorders via a qualitative approach. In order to collect data, interviews were conducted with respondents who were selected via purposeful sampling. All respondents have had a significant impact on the field of special education as evidenced by scholarship and leadership throughout their careers. Data analysis of the interview transcriptions was accomplished through the utilization of computer software. The data indicated six areas/topics that were seen among respondents as being significant to the development of the field of Behavioral Disorders.

Are computer-administered versions of a multiple choice paper-pencil test equivalent? This study determined whether there were any significant differences between taking a traditional pencil-paper test and taking the same test using a computer. The literature has shown that there are intervening variables that have caused differences when not controlled. To prove equivalency between test modes, scores have to have similar means, dispersions, and shapes; the ranked-order of the scores must also be similar. Four tests were given over the course of a 16-week semester. The sample was divided, half taking paper-pencil tests and half taking the same test administered by a computer. The mode of administration was switched with each test administration. The analysis showed that, when the intervening variables were controlled, the two modes of administration were equivalent. The analysis used a 2x4 ANOVA, which showed no difference between test modes, but showed that each test administration was significantly different. The Levene statistic was used to test whether dispersions were equivalent and confidence intervals were established to test the kurtosis and skewness statistics. Finally, each of the test scores were transformed into their Normal Curve Equivalents so that Pearson's coefficient could be used to determine the equivalency of the …

The purpose of this study was to investigate the association between adult learners' preferred learning style and preference for delivery mode. The subjects (n=61) were technical and billing support call center employees from an Internet company in Dallas, Texas. The participants were randomly assigned to one of six groups and given Kolb's Learning Style Inventory to assess their preference for learning style. They received training on three modules of “Influencing Others Positively,” with each module delivered via one of three methods (web-based, classroom, and blended). Participants were also administered two surveys. The first survey collected demographic information and asked which method that they expected they would prefer. The second survey was administered after the course and asked them to rank their preferences for delivery method. It was hypothesized that learning style would be significantly associated with preference for delivery method. The data was analyzed using descriptive statistics and a chi-square test of independence for the variables learning style and preferred mode of delivery. Although the chi-square test of independence did not produce statistical significance, some interesting trends were identified in the data. Specifically, a majority of the participants preferred a blended approach to training delivery (a combination of self-paced web-based …

This dissertation: (a) investigated the degree to which the squared canonical correlation coefficient is biased in multivariate nonnormal distributions and (b) identified formulae that adjust the squared canonical correlation coefficient (Rc2) such that it most closely approximates the true population effect under normal and nonnormal data conditions. Five conditions were manipulated in a fully-crossed design to determine the degree of bias associated with Rc2: distribution shape, variable sets, sample size to variable ratios, and within- and between-set correlations. Very few of the condition combinations produced acceptable amounts of bias in Rc2, but those that did were all found with first function results. The sample size to variable ratio (n:v)was determined to have the greatest impact on the bias associated with the Rc2 for the first, second, and third functions. The variable set condition also affected the accuracy of Rc2, but for the second and third functions only. The kurtosis levels of the marginal distributions (b2), and the between- and within-set correlations demonstrated little or no impact on the bias associated with Rc2. Therefore, it is recommended that researchers use n:v ratios of at least 10:1 in canonical analyses, although greater n:v ratios have the potential to produce even less bias. …