Faculty are the academic heart of colleges and universities. They guide learning and facilitate student academic and social integration in the campus community. As described by Tinto, student integration is an important component to success in college. Out-of-class and in-class faculty-student interaction supports student integration and may lead to improved college completion. Students enter college with expectations for what they are about to experience, including expectations for faculty interaction. Smart adapted Holland's vocational choice theory to study college disciplines and found that faculty in six broad categories of disciplines displayed specific environmental and personality traits and interacted differently with students. The purpose of this quantitative study was to examine relationships between first-time-in-college (FTIC), prior-to-matriculation student expectations of faculty-student interaction and two dependent variables: four-year degree completion and FTIC, prior-to-matriculation student's major, as categorized in one of Holland's categories. High school GPA, ethnicity, and gender were controlled in the study. The sample consisted of 3,144 FTIC, prior-to-matriculation students enrolled at the University of South Florida, a large, metropolitan public university in the South during the summer or fall of 2008. Students completed the College Student Expectations Questionnaire (CSXQ) as part of a mandatory university orientation program. Seven items on the CSXQ's "Experiences with Faculty" section were summed and used to assess a FTIC, prior-to-matriculation student's level of expected faculty-student interaction. Students' prior-to-matriculation majors were assigned to one of seven Holland major categories --investigative, artistic, social, enterprising, realistic, conventional, and not in Holland. However, only five categories; investigative, artistic, social, enterprising, and not in Holland were used because no FTIC, prior-to-matriculation student majors were assigned to the realistic and conventional Holland categories. A binary logistic regression was used to investigate the potential relationship between (FTIC), prior-to-matriculation student expectations of faculty-student interaction score and four-year degree completion. A statistically significant relationship (p<.05) was not observed between a FTIC, prior-to-matriculation student's expectation level for faculty-student interaction score and four-year degree completion. A statistically significant relationship (p<.05) was observed between the independent variables of high school GPA and gender and the dependent variable of four-year college completion. A one-point increase in the student's high school GPA showed an increase of the odds of four-year graduation by a factor of 2.96. The study also found the odds of a female graduating in four years is increased by about 1.3 times over a male four-year graduation. A multinomial logistic regressions were used to evaluate the relationship between (FTIC), prior-to-matriculation student expectations of faculty-student interaction score and Holland's categories. A statistically significant relationship (<.05) was found between a FTIC student's expectation level for faculty-student interaction and a student's FTIC Holland classification. As the level of the faculty-student expectation score increased by one point, the odds of being a member of the investigative category over the artistic, social, or enterprising category increased by 1.05 times, 1.03 times, or 1.04 times, respectively. The results must be interpreted with caution, given the small effect sizes, as exhibited by a Cox and Snell's value of .005 and a Nagelkerke value of .006.

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This dissertation investigated the relationship between course characteristics and student ratings of instruction at a large research intensive university. Specifically, it examined the extent to which academic field, course level, and class size were associated with variation in mean class ratings. Past research consistently identifies differences between student ratings in different academic fields, but offers no unifying conceptual framework for the definition or categorization of academic fields. Therefore, two different approaches to categorizing classes into academic fields were compared - one based on the institution's own academic college system and one based on Holland's (1997) theory of academic environments. Because the data violated assumptions of normality and homogeneity of variance, traditional ANOVA procedures were followed by post-hoc analyses using bootstrapping to more accurately estimate standard errors and confidence intervals. Bootstrapping was also used to determine the statistical significance of a difference between the effect sizes of academic college and Holland environment, a situation for which traditional statistical tests have not been developed. Findings replicate the general pattern of academic field differences found in prior research on student ratings and offer several unique contributions. They confirm the value of institution-specific approaches to defining academic fields and also indicate that Holland's theory of academic environments may be a useful conceptual framework for making sense of academic field differences in student ratings. Building on past studies that reported differences in mean ratings across academic fields, this study describes differences in the variance of ratings across academic fields. Finally, this study shows that class size and course level may impact student ratings differently - in terms of interaction effects and magnitude of effects - depending on the academic field of the course. / Ph. D.

The primary purpose of this study was to investigate the relationship of the Type A behavior pattern to Holland's occupational types and the career choice process. The Type A behavior pattern is characterized by high levels of achievement striving, time urgency, chronic activation and hostility, and is an independent risk factor in the development of coronary heart disease. It was hypothesized that Type A college students would be more attracted than Type B individuals to aspects of a future work environment which would reinforce their Type A behaviors. Previous research had suggested a relationship between the Type A behavior pattern and Holland's Enterprising and Investigative types (Martin, 1986). This study sought to replicate those findings, and further examine the nature of the Type A/B-Holland types relationship. Data were collected from undergraduate students in a variety of academic fields of study. Subjects completed a questionnaire packet consisting of the student version of the Jenkins Activity Survey (Jenkins, Rosenman, and Zyzanski, 1965; Glass, 1977), the Vocational Preference Inventory (Holland, 1985b), and a modified version of the Minnesota Job Description Questionnaire (Rosen, et al., 1972) . The findings demonstrated that the Type A/B pattern is a significant factor in the career choice process. Type A's and Type B's had different levels of attraction to several aspects of a work environment in anticipating a career choice. The study also revealed that Type A/B pattern and the Holland types play separate roles in the career choice process. Implications of the study and future research directions are discussed.

This study examined the relationship between the sub-components of Holland's Self-Directed Search and independent, objective measures of ability using a comprehensive battery of well-validated tests of primary abilities corresponding to each of Holland's six vocational interest types. The sample consisted of 149 female undergraduate students, ages 18-25. Correlation of the ability measure test scores with the four Self-Directed Search subcomponents revealed that the subtests were not related to corresponding measures of ability in a consistent fashion. Implications for the use of the Self-Directed Search in assessing abilities are discussed along with suggestions for future research investigating the relationhip between interest in ventories and the measurement of primary abilities.

The Party Exercise found on countless career guidance websites and popularized by the best-selling, job-hunting book What Color Is Your Parachute (Bolles, 2015) purports to provide an estimate of an individual's Holland's code. This study examines whether this commonly used Party Exercise accurately predicts an individual's Holland's code (Holland, 1997). Undergraduate students (N=473) completed The Party Exercise and then the Self- Directed Search (Holland & Messer, 2013). The results of this study do not support the use of this popular “Party Exercise” as a valid estimate of an individual's Holland code.

This with the discovery of oil in the Pre-Salt layer, in oceanic regions of Brazil, it is aroused the need to improve technological devices of analysis, to ensure the sustainability of the system of fuel production in the country. From there we conjecture about the problem of air traffic control of offshore helicopters, which give logistical support to oil platforms and to optimization of routes. In this job, we proposed to minimize routes, thus decreasing the fuel consumption of these aircraft, as well as to optimize the time spent on travel between airports and platforms, using the heuristics methods of Genetic Algorithms. To perform a better analysis, we made two deployments, the first with Holland's Genetic Algorithm and the second with Genetic Algorithm Based on Abstract Data Types - GAADT, getting results with better performance in the second implementation. / Com a descoberta de petróleo na camada do pré-sal, em regiões oceânicas do Brasil, se desperta a necessidade de incrementar dispositivos tecnológicos de análise, para dar sustentabilidade ao sistema produtivo de combustível no país. A partir daí, vislumbra-se a problemática do controle de tráfico aéreo de helicópteros offshore, que dão suporte logístico às plataformas de petróleo e a otimização de rotas. Então, neste trabalho propusemos minimizar rotas, diminuindo, portanto o consumo de combustível destas aeronaves, bem como otimizar o tempo gasto com as viagens entre plataformas e aeroportos, utilizando os métodos heurísticos de Algoritmos Genéticos. Para a realização de uma melhor análise, fizemos duas implementações, sendo a primeira com Algoritmo Genético de Holland e a segunda com Algoritmo Genético Baseado em Tipos Abstratos de Dados - GAADT, obtendo resultados com melhor desempenho na segunda implementação.

Holland's theory of vocational personalities and work environments incorporates four theoretical constructs (congruence, consistency, differentiation and identity) which attempt to explain sources in variability of achievement and satisfaction among employed adults and college students. This study sought to: (1) investigate the relationship of Holland's constructs to academic achievement and educational satisfaction of undergraduate music majors; (2) investigate differences in all variables according to gender and degree major. Data were collected from undergraduate music majors (N = 100) enrolled at the University of North Texas using the Vocational Preference Inventory. Mv Vocational Situation. and the Music Major Satisfaction Questionnaire. Reliability for the Music Major Satisfaction Questionnaire was estimated at .92 using Cronbach's coefficient alpha. Pearson product-moment correlation coefficients indicated that: (1) congruence was significantly related to academic achievement and educational satisfaction; (2) identity was significantly related to academic achievement and educational satisfaction; (3) consistency was significantly related to academic achievement, but not to educational satisfaction; (4) differentiation was significantly related to academic achievement, but not to educational satisfaction. Multiple regression using a stepwise entry method indicated that: (1) the identity construct was the best predictor of educational satisfaction scores; (2) identity was the best predictor of academic achievement scores. The results of the study suggested: (1) it is unlikely that any single theory accounts for all dimensions of variability in achievement among college music majors. To arrive at a comprehensive model of achievement, it will be necessary to utilize constructs of several theories. Such a model should include Holland's constructs of identity, congruence, and possibly differentiation. (2) similarly, a comprehensive model of satisfaction should include Holland's constructs of identity and congruence. (3) Holland's classification system may distinguish among two traditionally held divisions of college music majors, performance majors and education majors. (4) music education majors and music performance majors differ on the social dimension of their vocational personalities.