The purpose of this study was to examine the perceptions of participants involved in one community college's strategic planning process in which faculty, administrators, and staff at all levels of the organization were encouraged to participate. Data were collected through direct observation, focus group interviews, analysis of institutional documents, and a pen and paper questionnaire. Data were analyzed through a constant comparative method. Reduction of the data produced themes exploring the reaction of participants to the new strategic planning process. This qualitative study generated four hypotheses that relate to these research questions: 1. Staff participation in an organization's strategic planning process results in a deeper staff understanding of the organization's mission, a higher staff commitment to the organization's goals, and a demonstration of greater staff energy and vitality. 2. Community college departments will interpret and implement institutional strategic planning processes in ways that are unique and congruent with their academic discipline; a single process cannot be successfully dictated. 3. When managers serve as facilitators or use others to facilitate strategic planning processes, staff will self-organize, a process will emerge, and leadership will take a variety of forms. 4. Community college staff who encounter change in strategic planning processes can be categorized as Guarded Optimists, Curmudgeons, Crusaders, or Along for the Ride, based on levels of frustration and optimism. Recommendations for Practice: 1. Obtain acceptance of terminology from all units before beginning the participatory strategic planning process. Use acceptable terms in form/templates and in facilitation. 2. Do not dictate a single process for strategic planning across all disciplines. Design forms and processes that are adaptable to differences in styles of critical thinking. 3. Use facilitators to assist units in the participatory strategic planning effort. Train the facilitators to work in ways that empower participants. 4. Reduce participant frustration and increase optimism by providing sufficient time, creating sustainable feedback loops, both of which demonstrate that the unit manager has thought through the process. 5. Increase participation in strategic planning processes to gain deeper understanding of the organization's mission, higher commitments to organizational goals, and a demonstration of greater energy and vitality. / Graduation date: 1998

Thesis (M.S.) -- University of Tennessee, Knoxville, 2006. / Title from title page screen (viewed on Feb. 5, 2007). Thesis advisor: Ralph D. Kimberlin. Vita. Includes bibliographical references.

Today, health problems are likely to have a complex and multifactorial etiology, whereby psychosocial factors interact with behaviour and bodily responses. Women generally report more health problems than men. The present thesis concerns the development of women’s health from a subjective and objective perspective, as related to psychosocial living conditions and physiological stress responses. Both cross-sectional and longitudinal studies were carried out on a representative sample of women. Data analysis was based on a holistic person-oriented approach as well as a variable approach. In Study I, the women’s self-reported symptoms and diseases as well as self-rated general health status were compared to physician-rated health problems and ratings of the general health of the women, based on medical examinations. The findings showed that physicians rated twice as many women as having poor health compared to the ratings of the women themselves. Moreover, the symptom ”a sense of powerlessness” had the highest predictive power for self-rated general health. Study II investigated individual and structural stability in symptom profiles between adolescence and middle-age as related to pubertal timing. There was individual stability in symptom reporting for nearly thirty years, although the effect of pubertal timing on symptom reporting did not extend into middle-age. Study III explored the longitudinal and current influence of socioeconomic and psychosocial factors on women’s self-reported health. Contemporary factors such as job strain, low income, financial worries, and double exposure in terms of high job strain and heavy domestic responsibilities increased the risk for poor self-reported health in middle-aged women. In Study IV, the association between self-reported symptoms and physiological stress responses was investigated. Results revealed that higher levels of medically unexplained symptoms were related to higher levels of cortisol, cholesterol, and heart rate. The empirical findings are discussed in relation to existing models of stress and health, such as the demand-control model, the allostatic load model, the biopsychosocial model, and the multiple role hypothesis. It was concluded that women’s health problems could be reduced if their overall life circumstances were improved. The practical implications of this might include a redesign of the labour market giving women more influence and control over their lives, both at and away from work.

Ankylosing spondylitis (AS) is a chronic, inflammatory rheumatic disease that has a highly variable disease course. Three biologic agents, adalimumab, etanercept, and infliximab, have been developed for the treatment of AS. We conducted three studies: 1) an exploratory analysis of a year-long longitudinal dataset to gain insight into the variability of disease activity, physical function, and well-being and to explore the relationship between these outcome measures; 2) a systematic review of the available evidence for the efficacy of biologic treatment; 3) a systematic review of potential adverse effects of this treatment. We found that repeated measures of disease activity, function and well-being fluctuate considerably between patients, with complex patterns occurring over time within patients. There was mostly high quality evidence that these biologics are efficacious against placebo. We did not find evidence of an increase in serious adverse events or serious infections from short-term randomized controlled trials.

This research was conducted in the Mamora cork oak forest of Morocco to: (1) Describe the impacts of sheep grazing (none, 35% use, 70% use) in March, April, May and June of 1987 and 1988 on seasonal forage production; (2) evaluate the effects of these factors on annual changes in herbaceous foliar cover and botanical composition; and (3) determine their effects on seasonal changes in forage quality of the herbaceous vegetation. Neither the month of 1987 nor the degree of use had significant effects on the rate of herbage accumulation. In 1988, the month of grazing, the degree of use and their interaction had significant effects on all rates of herbage accumulation except that between May and June for the March grazed treatment. For the April, May and June treatments, grazing depressed the forage production of the subsequent months. The interaction of the month of grazing and the degree of use had no significant effect on the botanical composition of all groups of species. Averaged over the season, the other forbs were the dominant group of species. Total canopy cover was significantly affected by the year only. The 1988 total vegetative ground cover was significantly higher than the 1987 and 1989 ones as a result of the impacts of the intensity and distribution of rains on vegetative growth, development and distribution. The degree of use had a significant effect on the forage nutrients only for some grazing treatments. It seemed that the effect of the grazing intensity on forage nutrients of the subsequent months is more evident when grazing occurs early in the season. This study developed the first information for this area related to the response of the vegetation to the time and the intensity of grazing. The results suggest that scheduling intensity and timing of grazing livestock might be a key factor in community dynamics. Combined research on grazing management, fertilization and seeding should be undertaken and implemented in the next Mamora management plan. / Graduation date: 1992

Data obtained from longitudinal surveys using complex multi-stage sampling designs contain cross-sectional dependencies among units caused by inherent hierarchies in the data, and within subject correlation arising due to repeated measurements. The statistical methods used for analyzing such data should account for stratification, clustering and unequal probability of selection as well as within-subject correlations due to repeated measurements. <p>The complex multi-stage design approach has been used in the longitudinal National Population Health Survey (NPHS). This on-going survey collects information on health determinants and outcomes in a sample of the general Canadian population. <p>This dissertation compares the model-based and design-based approaches used to determine the risk factors of asthma prevalence in the Canadian female population of the NPHS (marginal model). Weighted, unweighted and robust statistical methods were used to examine the risk factors of the incidence of asthma (event history analysis) and of recurrent asthma episodes (recurrent survival analysis). Missing data analysis was used to study the bias associated with incomplete data. To determine the risk factors of asthma prevalence, the Generalized Estimating Equations (GEE) approach was used for marginal modeling (model-based approach) followed by Taylor Linearization and bootstrap estimation of standard errors (design-based approach). The incidence of asthma (event history analysis) was estimated using weighted, unweighted and robust methods. Recurrent event history analysis was conducted using Anderson and Gill, Wei, Lin and Weissfeld (WLW) and Prentice, Williams and Peterson (PWP) approaches. To assess the presence of bias associated with missing data, the weighted GEE and pattern-mixture models were used.<p>The prevalence of asthma in the Canadian female population was 6.9% (6.1-7.7) at the end of Cycle 5. When comparing model-based and design- based approaches for asthma prevalence, design-based method provided unbiased estimates of standard errors. The overall incidence of asthma in this population, excluding those with asthma at baseline, was 10.5/1000/year (9.2-12.1). For the event history analysis, the robust method provided the most stable estimates and standard errors. <p>For recurrent event history, the WLW method provided stable standard error estimates. Finally, for the missing data approach, the pattern-mixture model produced the most stable standard errors <p>To conclude, design-based approaches should be preferred over model-based approaches for analyzing complex survey data, as the former provides the most unbiased parameter estimates and standard errors.

The goal of the research project was to assess the effect of a written intervention on the state anxiety of new mathematics teachers. Twenty-eight beginning mathematics teachers in Washington, Oregon, and California were randomly assigned to treatment or control groups. Treatment was a survival guide, Green Broke, carefully designed to meet the needs of beginning mathematics teachers. A Delphi panel determined topics for the guide, beginning with suggestions from the literature. The panel included mathematics teachers in grades 7 to 12 from all three Pacific states, and both urban and rural areas. School administration and college mathematics education were also represented on the panel. A subset of the panel and a writer edited the guide. Trait anxiety of subjects was determined prior to the 1989-90 school year using the trait anxiety portion of Spielberger's State-Trait Anxiety Inventory. The state anxiety inventory was administered at that same time and again three times during the school year. All subjects also completed a teacher report twice during the year regarding their teaching experiences. In addition, the treatment group was asked to complete two questionnaires regarding the effectiveness of Green Broke. Subjects perceived that they were part of two studies, one involving the guide and one involving anxiety inventories. Analysis of covariance for repeated measures was used to assess differences between groups in state anxiety, using trait anxiety as covariate. Level of significance was set at .05. There was no significant main effect, but a significant interaction effect was found. The nearly linear relationship between state and trait anxiety found in the control group disappeared for the group having the guide. Mini case studies, using responses to the teacher reports, were done for seven subjects, including those with very high state anxiety. In addition, a subgroup of the treatment group, for which a linear relationship between state and trait anxiety did exist, was examined for common characteristics. Locus of control was hypothesized to be a variable that would differentiate this group. Other suggestions for further study include use of audio-visual forms of the survival guide, extension to other subject areas, and replication of the study. / Graduation date: 1991

Longitudinal substance abuse research has often been compromised by high rates of attrition, thought to be the result of the lifestyle that often accompanies addiction. Several studies have used a standardized follow-up protocol to minimize attrition, however it is unclear whether this protocol is equally effective for participants struggling with varying levels of housing stability, support for sobriety, and substance abuse severity. The current study extends research supporting the effectiveness of this protocol by demonstrating the importance of two central aspects of the follow-up protocol: locator form completion and continual verification contacts. Results indicated that each additional piece of locator form information and verification contact significantly and independently increased the odds for completing a follow-up interview, and that these effects were not moderated by participant characteristics. Practical and theoretical implications for longitudinal substance abuse research are discussed.

The GARVEE Transportation Program started by the Idaho Transportation Department has improved parts of I-84 in Boise, Idaho. These desired improvements led to the widening of a bridge over the New York Canal (NYC) in 2009. To support the wider road, additional bridge columns were installed. The new bridge columns had a larger diameter than the existing columns and raised the number of columns from 28 to 60. Construction was completed just before the irrigation season began. During the first irrigation season it was observed that waves and oscillations were occurring within the canal immediately adjacent to the bridge structure. Throughout the irrigation season, it was observed that the intensity of the oscillations would vary. It was also observed that the wave oscillations propagated upstream and downstream from the bridge structure. Both longitudinal and transverse waves were observed. The waves appeared to originate in the section of the canal that was under the I-84 Bridge. A physical model was built in 2010 at Utah State University's (USU) Utah Water Research Laboratory (UWRL) in an attempt to simulate the oscillation phenomenon and to develop potential solutions to the problem. During the original modeling work, a thorough investigation to the causes of this phenomenon was not accomplished due to time constraints. The objective of the follow-up research presented in this thesis was to qualitatively determine the causes of the oscillations. Laboratory tests were performed using the original physical model used in the original 2010 testing.

Considerable amounts of event history data are collected through longitudinal surveys. These surveys have many particularities or features that are the results of the dynamic nature of the population under study and of the fact that data collected through longitudinal surveys involve the use of complex survey designs, with clustering and stratification. These particularities include: attrition, seam-effect, censoring, left-truncation and complications in the variance estimation due to the use of complex survey designs. This thesis focuses on the last two points. Statistical methods based on the stratified Cox proportional hazards model that account for intra-cluster dependence, when the sampling design is uninformative, are proposed. This is achieved using the theory of estimating equations in conjunction with empirical process theory. Issues concerning analytic inference from survey data and the use of weighted versus unweighted procedures are also discussed. The proposed methodology is applied to data from the U. S. Survey of Income and Program Participation (SIPP) and data from the Canadian Survey of Labour and Income Dynamics (SLID). Finally, different statistical methods for handling left-truncated sojourns are explored and compared. These include the conditional partial likelihood and other methods, based on the Exponential or the Weibull distributions.