This thesis investigates protein markers linked to pulmonary embolism risk using proteomics and statistical methods, employing unsupervised and supervised machine learning techniques. The research analyzes existing datasets, identifies significant features, and observes gender differences through MANOVA. Principal Component Analysis reduces variables from 378 to 59, and Random Forest achieves 70% accuracy. These findings contribute to our understanding of pulmonary embolism and may lead to diagnostic biomarkers. MANOVA reveals significant gender differences, and applying proteomics holds promise for clinical practice and research.

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This study compares three groups of undergraduate college males in heterosexual dating relationships: those who are physically and psychologically abusive (n=39), those who are solely psychologically abusive (n=44), and those who are non-abusive (n=34). These three groups are compared along the following variables: self-reported history of experiencing family of origin violence; self-reported history of witnessing family of origin violence; level of self-reported impulsivity; level of self-reported satisfaction with life; level of self-reported alcohol use; level of self-reported relationship satisfaction; and amount of self-reported anger management skill. An analysis of variance (ANOVA) revealed significant main effects among the three groups of males along several of the variables examined (Wilks' Lambda F = 4.80, df = 10, 220, p <.001). Post hoc tests revealed significant differences among the three groups of males. This study revealed that these three groups differ significantly along their levels of alcohol use (F = 10.16, p <.001), their reported levels of relationship satisfaction (F = 4.23, p <.05), and their levels of anger management skills (F = 14.56, p<.001). This information can be helpful to clinicians and educators who are working with college populations. It would seem that psychoeducation might be useful for some of these men so that they might develop alternatives to violence, and may hopefully decrease the risk factors associated with the perpetration of relationship violence. Intervening early and effectively with these dating relationships can be a substantive step towards preventing the escalation and maintenance of violence in relationships. / Master of Science

Researchers perform multivariate techniques MANOVA, discriminant analysis and factor analysis. The most common applications in social science are to identify and test the effects from the analysis. The use of this multivariate technique is uncommon in investigating the effects of power usage and Province in South Africa on the amounts of the five power modes. This dissertation discusses this issue, the methodology and practical problems of the three multivariate techniques. The author examines the applications of each technique in social public research and comparisons are made between the three multivariate techniques. This dissertation concludes with a discussion of both the concepts of the present multivariate techniques and the results found on the use of the three multivariate techniques in the energy household consumption. The author recommends focusing on the hypotheses of the study or typical questions surrounding of each technique to guide the researcher in choosing the appropriate analysis in the social research, as each technique has some strengths and limitations. / Statistics / M. Sc. (Statistics)

Researchers perform multivariate techniques MANOVA, discriminant analysis and factor analysis. The most common applications in social science are to identify and test the effects from the analysis. The use of this multivariate technique is uncommon in investigating the effects of power usage and Province in South Africa on the amounts of the five power modes. This dissertation discusses this issue, the methodology and practical problems of the three multivariate techniques. The author examines the applications of each technique in social public research and comparisons are made between the three multivariate techniques. This dissertation concludes with a discussion of both the concepts of the present multivariate techniques and the results found on the use of the three multivariate techniques in the energy household consumption. The author recommends focusing on the hypotheses of the study or typical questions surrounding of each technique to guide the researcher in choosing the appropriate analysis in the social research, as each technique has some strengths and limitations. / Statistics / M. Sc. (Statistics)

Research has shown that interest in science often decreases in the middle-school grades for both boys and girls, but that more boys continue on the science track in high school and college, leading to males dominating the fields of science and engineering in the work place. The interpersonal interaction between teachers and students, as both individuals and as a group, comprises a large part of the classroom learning environment. Though these interactions last only a school year, they can influence student attitudes and achievement in the long term. Past research has suggested that a key factor in improving student achievement and attitudes is to create learning environments which emphasize characteristics that have been found to be linked empirically with achievement and attitudes. The purpose of this study was to use quantitative methods to validate a learning environment questionnaire (Questionnaire on Teacher Interaction, QTI), to investigate outcome-environment associations, and to compare male and female students in terms of their attitudes, classroom environment perceptions and achievement. An attitude scale, based on items from the Test of Science Related Attitudes (TOSRA), and a 48-item eight-scale version of the QTI were administered to 1228 science students in Grades 6, 7 and 8 at one middle school in South Florida. Student achievement was measured using the students’ quarterly (nine-week) science grade. / The results revealed satisfactory internal consistency reliability for the QTI, with alpha reliability coefficients ranging from 0.51 to 0.83 for different scales with the student as the unit of analysis and from 0.54 to 0.96 for class means. For the 10-item attitude scale, the alpha coefficient was above 0.80 for both the student and the class mean as the unit of analysis, demonstrating high internal consistency reliability. Overall, the results of the statistical analyses supported that the QTI questionnaire and the attitude scale are valid and reliable instruments for use with secondary science students in South Florida. A strong relationship was found between student outcomes (attitudes and achievement) and many of the eight QTI scales with either the individual or the class mean as the unit of analysis. For example, students’ attitudes towards science were more positive when teachers exhibited more leadership and understanding behaviors and science achievement was higher when teachers were friendlier and less uncertain. The use of MANOVA tentatively revealed gender differences in students’ perceptions of teacher interpersonal behavior, attitudes towards science, and science achievement. However, the differences between males and females were statistically significant only for the Helping/Friendly, Dissatisfied, and Admonishing scales of the QTI and for achievement. In general, relative to males, female students had more positive perceptions of teacher interpersonal behavior and higher academic achievement.

<p>Gifted elementary students in a congregated educational program (n = 165) were compared to gifted peers in regular programming (n = 49) in an urban, Western-Canadian, public, school division. Mean scores on measures of self-concept (Multidimensional Self Concept Scale), classroom environment (Classroom Environment Scale), and student life satisfaction (Multidimensional Student Life Satisfaction Scale) were analyzed. MANOVAs revealed main effects of educational programming and no mediating effects of gender or grade level. Students in the congregated program had lower academic self-concept than students in regular programming, replicating the commonly found Big-Fish-Little-Pond Effect (Marsh, 1987). There was also some weak indication that students in the specialized program had lower satisfaction with "self" than those in the regular program. In contrast, students in the specialized program thought their programming to be more innovative relative to how the other group perceived theirs was. However, all differences were of small-to-moderate magnitude (.5 SDs). Moreover, all scores for all measures were at, or slightly above, levels typically found in normally developing peers. </p>

<p>Gifted elementary students in a congregated educational program (n = 165) were compared to gifted peers in regular programming (n = 49) in an urban, Western-Canadian, public, school division. Mean scores on measures of self-concept (Multidimensional Self Concept Scale), classroom environment (Classroom Environment Scale), and student life satisfaction (Multidimensional Student Life Satisfaction Scale) were analyzed. MANOVAs revealed main effects of educational programming and no mediating effects of gender or grade level. Students in the congregated program had lower academic self-concept than students in regular programming, replicating the commonly found Big-Fish-Little-Pond Effect (Marsh, 1987). There was also some weak indication that students in the specialized program had lower satisfaction with "self" than those in the regular program. In contrast, students in the specialized program thought their programming to be more innovative relative to how the other group perceived theirs was. However, all differences were of small-to-moderate magnitude (.5 SDs). Moreover, all scores for all measures were at, or slightly above, levels typically found in normally developing peers. </p>

The purpose of this quantitative study was to examine the perceptions of senior administrative and middle manager community college leaders regarding current succession planning and management practices occurring within their institutions. Three research questions guided this study: (1) Is the four succession planning and management components structurally related, (2) Is there a difference in how senior administrative and middle manager leaders evaluate succession planning and management components, and (3) Is there a difference between size and location of institution in regards to status of succession planning and management components? A suitable succession planning and management instrument was not found; therefore, the Wright-Coward Succession Planning and Management Survey (WCSPMS) instrument was developed. An exploratory factor analysis was used to address research question one and test the structural relationship of the common succession planning and management components of the survey. A second statistical procedure, multivariate analysis of variance, was used to analyze differences between the four dependent measures of succession planning and management and leadership level, and institutional factors. Findings from this study suggested (1) items on the WCSPMS instrument are correlated and three relatively independent succession planning and management factors are associated with the 20 underlying items, and (2) there is a statistical significant difference between leadership level in regards to perceptions of succession planning and management practices. Furthermore, this study indicated there is much work to be done by community college leaders in the area of succession planning and management. / text

Of late, technology entrepreneurship has been receiving growing importance as a means of contribution to national economic growth, both from Empirical Researchers and Policy Makers. According to NASSCOM, India has emerged as the third largest base for high-tech start-ups in the world. Although there is a surge in start-up creation rates in India, very little is known about the vital factors that are required for these star-ups to survive, sustain and grow into large enterprises. This study reviews the entrepreneurial, firm-specific and external environment specific aspects that influence the key lifecycle stages of high-tech star -ups and identifies the key factors that influence each of the milestones. There are very few studies in this domain that have examined the unique features and influential factors of different lifecycle stages of start-ups in the context of emerging economies like India. This limited exploration on the structure, process and strategies adapted by high-tech start-ups has resulted in insufficient understanding about the high-tech start-up lifecycle. This study therefore, attempts to fill these gaps. Accordingly, the objectives of this study are to determine the factors that influence the creation, survival and growth of the high-tech start-ups operating out of India. Further, an examination of what factors influence and impact the entire lifecycle of high-tech start-ups is also carried out – to obtain an integrated perspective on the lifecycle of high-tech start-ups. Primary data gathered from 275 high-tech start-ups, operating at different stages of the lifecycle formed the basis of the present study. To obtain additional insights on the factors influencing the milestones of the high-tech start-up lifecycle, the available data are analyzed against three segments – based on the target market segment that these start-ups focused on (B2B or B2C), based on the region of operations of the start-ups and based on whether the founding team had transnational work or start-up exposure or not. Our findings indicate that age and technical education of the entrepreneurs (from entrepreneur-specific perspective), the R&D and financial capitalization capabilities of the start-ups (from firm-specific perspective) and the external ecosystem parameters such as a robust SDP growth rate, presence and occurrence of VC funded deals in the region of start-ups operations have an influence on the high-tech start-up lifecycle in India. The findings of the study formed the basis to derive implications for entrepreneurs, other ecosystem stakeholders and policy makers.