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Title: MIDDLE SCHOOL MATHEMATICS TEACHER CERTIFICATION, DEGREE LEVEL, AND EXPERIENCE, AND THE EFFECTS ON TEACHERATTRITION AND STUDENT MATHEMATICS ACHIEVEMENT IN A LARGE URBAN DISTRICT.
Creator: Swan, Bonnie, Hynes, Michael, University of Central Florida
Abstract / Description: The purpose of this study was to examine the backgrounds and experiences of middle school mathematics teachers that often distinguish "quality" teachers, including certification, experience, degree type, and degree level and how those demographics and others vary for different types of schools. The emphasis was on profiling teachers in a large urban district by describing their basic features and distributions, as well as how middle school mathematics teachers, according to those differences,...
Show moreThe purpose of this study was to examine the backgrounds and experiences of middle school mathematics teachers that often distinguish "quality" teachers, including certification, experience, degree type, and degree level and how those demographics and others vary for different types of schools. The emphasis was on profiling teachers in a large urban district by describing their basic features and distributions, as well as how middle school mathematics teachers, according to those differences, relate to student mathematics achievement, teacher attrition and teacher mobility. Student achievement was measured by test results from the Norm Reference Test-Normal Curve Equivalent (NRT-NCE) mathematics portion of the Florida Comprehensive Assessment Test (FCAT) for two school years (2003-04 and 2004-05). A variety of analytic approaches and methods were used to examine how different teacher characteristics relate to teacher employment patterns and student achievement, including chi-square, Kruskal-Wallace, Mann-Whitney U, ANOVA, and t tests, together with simple descriptives and graphical analysis. Standard multiple regression was used to evaluate whether students' previous test scores and teacher- and school-level predictors could affect the results of students' mathematics achievement. A short survey was administered, which provided some insight to ascertain whether and why teachers choose among schools when seeking employment. A total of 282 teachers and 24,766 students were included for the final analysis. This research revealed high rates of teacher turnover and deficient numbers of well qualified mathematics teachers for this particular demographic. For example, one in three middle school mathematics teachers was in their first year, and over half (55%) had less than three years seniority. It was also apparent that, because of a shortage of well-qualified mathematics teachers, many new teachers were being hired out-of-field--of those first-year teachers, only about half had certification in their content area and most (67%) did not have a degree in mathematics or mathematics education. Middle schools in this district had lost 29% of the mathematics teacher workforce employed the previous year due to mathematics teacher attrition. Of those many resigned, some came back to teach another subject at the same or different middle school, and others transferred to high schools. An additional 5% transferred to other middle schools within the same district bringing the total turnover to 34%. Findings revealed no significant differences in turnover rates in high-poverty versus low-poverty schools, but there were significant differences in the proportions of movers, leavers, and stayers in schools according to whether or not a school was achieving high-standards in mathematics. Although inequities did exist in favor of schools with less at-risk students, in this district--for the most part--teachers were fairly distributed according to the "quality" of their backgrounds and experiences. The only significant gap was in that students in wealthier schools were more likely to have a mathematics teacher with a higher degree. This study also offers results that further understanding on the debate about which attributes of teachers are most likely to translate into effective-classroom performance. When analysis was performed at the student level, the findings revealed that students of middle school mathematics teachers with higher seniority, advanced degrees, or certification in the content area that they taught, performed significantly higher than students in other classrooms. Yet the magnitude of those differences was either modest or very small. When controlling for students' socio-economics status at the classroom level, differences were not significant for seniority or advanced degrees but the results were significant for certification.
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Date Issued: 2006
Identifier: CFE0001210, ucf:46948
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001210

Title: A LIFE CYCLE SOFTWARE QUALITY MODEL USING BAYESIAN BELIEF NETWORKS.
Creator: Beaver, Justin, Schiavone, Guy, University of Central Florida
Abstract / Description: Software practitioners lack a consistent approach to assessing and predicting quality within their products. This research proposes a software quality model that accounts for the influences of development team skill/experience, process maturity, and problem complexity throughout the software engineering life cycle. The model is structured using Bayesian Belief Networks and, unlike previous efforts, uses widely-accepted software engineering standards and in-use industry techniques to quantify...
Show moreSoftware practitioners lack a consistent approach to assessing and predicting quality within their products. This research proposes a software quality model that accounts for the influences of development team skill/experience, process maturity, and problem complexity throughout the software engineering life cycle. The model is structured using Bayesian Belief Networks and, unlike previous efforts, uses widely-accepted software engineering standards and in-use industry techniques to quantify the indicators and measures of software quality. Data from 28 software engineering projects was acquired for this study, and was used for validation and comparison of the presented software quality models. Three Bayesian model structures are explored and the structure with the highest performance in terms of accuracy of fit and predictive validity is reported. In addition, the Bayesian Belief Networks are compared to both Least Squares Regression and Neural Networks in order to identify the technique is best suited to modeling software product quality. The results indicate that Bayesian Belief Networks outperform both Least Squares Regression and Neural Networks in terms of producing modeled software quality variables that fit the distribution of actual software quality values, and in accurately forecasting 25 different indicators of software quality. Between the Bayesian model structures, the simplest structure, which relates software quality variables to their correlated causal factors, was found to be the most effective in modeling software quality. In addition, the results reveal that the collective skill and experience of the development team, over process maturity or problem complexity, has the most significant impact on the quality of software products.
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Date Issued: 2006
Identifier: CFE0001367, ucf:46993
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001367

Title: VERIFICATION OF FAA'S EMISSIONS AND DISPERSION MODELING SYSTEM (EDMS).
Creator: Martin, Anjoli, Wayson, Roger, University of Central Florida
Abstract / Description: Air quality has been a major environmental concern for many years. Recently the issue of airport emissions has presented growing concerns and is being studied in much more depth. Airport emissions come from a variety of point, line and area sources, making emissions modeling for airports very complex and more involved. Accurate air quality models, specific to airport needs, are required to properly analyze this complex array of air pollution sources created by airports. Accurate air quality...
Show moreAir quality has been a major environmental concern for many years. Recently the issue of airport emissions has presented growing concerns and is being studied in much more depth. Airport emissions come from a variety of point, line and area sources, making emissions modeling for airports very complex and more involved. Accurate air quality models, specific to airport needs, are required to properly analyze this complex array of air pollution sources created by airports. Accurate air quality models are needed to plan for increased growth of current airports and address concerns over proposed new ones. The Federal Aviation Administration's (FAA) Emissions and Dispersion Modeling System (EDMS) is a program that is the required model for assessing emissions from airport sources. This research used EDMS Version 4.21, which incorporates the EPA dispersion model AERMOD, to model detailed airport data and compare the model's predicted values to the actual measured carbon monoxide concentrations at 25 locations at a major U.S. airport. Statistics relating the model characteristics as well as trends are presented. In this way, a thorough investigation of the accuracy of the EDMS modeled values of carbon monoxide was possible. EDMS modeling included two scenarios, the first scenario referred to as practice detail included general airport information that a modeler could find from the airport being studied and the second scenario referred to as research detail utilized very detailed information from observer logs during a three day observation period. Each of the modeling scenarios was compared to the field measured data and to each other. These comparisons are important to insure the model is adequately describing emissions sources at airports. Data analysis of this study was disappointing since measured levels of CO were generally higher than modeled values. Since EDMS is continually changing and improving perhaps these results can help enhance future models.
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Date Issued: 2006
Identifier: CFE0001282, ucf:46903
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001282

Title: MEASURING QUALITY OF LIFE IN PEDIATRIC CANCER PATIENTS: THE RELATIONSHIPS AMONG PARENTAL DEPRESSION, ANXIETY, STRESS, AND CONCORDANCE AMONG RATERS.
Creator: Roddenberry, Angela, Renk, Kimberly, University of Central Florida
Abstract / Description: Advancements made in the treatment of the physiological aspects of childhood cancer have resulted in a greater need to conceptualize the disease psychologically as a chronic illness that causes significant stress and requires ongoing adjustment. This study investigates the relationships among parental characteristics, child characteristics, and the quality of life of children diagnosed with cancer. Forty-seven mothers and sixteen fathers, as well as nineteen children diagnosed with cancer,...
Show moreAdvancements made in the treatment of the physiological aspects of childhood cancer have resulted in a greater need to conceptualize the disease psychologically as a chronic illness that causes significant stress and requires ongoing adjustment. This study investigates the relationships among parental characteristics, child characteristics, and the quality of life of children diagnosed with cancer. Forty-seven mothers and sixteen fathers, as well as nineteen children diagnosed with cancer, completed measures of their own psychological functioning. Measures of the diagnosed children's quality of life also were completed. Mothers' ratings of their children's quality of life were found to be correlated positively with both fathers' and children's ratings. In addition, a significant relationship was found between mothers' depression and parenting stress and children's quality of life, as well as mothers' and fathers' anxiety and children's quality of life. Finally, mothers', fathers', and children's ratings of their own characteristics predicted significantly their ratings of children's quality of life. Overall, these results suggested the importance of examining the psychological characteristics of family members when assessing the quality of life of children with cancer.
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Date Issued: 2005
Identifier: CFE0000415, ucf:46380
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000415

Title: QUALITY OF LIFE IN OLDER BREAST CANCER SURVIVORS.
Creator: Loerzel, Victoria, Meneses, Karen, University of Central Florida
Abstract / Description: Quality of life (QoL) in cancer survivors is an important area of research. While data are available about QoL and breast cancer, there is a paucity of research regarding older breast cancer survivors. The purpose of this research was to examine QoL in older women with early stage breast cancer, within the first year of post-treatment survivorship. The specific aims of this study were to: 1) Describe the changes in overall QoL and the four QoL domains of Physical, Psychological, Social, and...
Show moreQuality of life (QoL) in cancer survivors is an important area of research. While data are available about QoL and breast cancer, there is a paucity of research regarding older breast cancer survivors. The purpose of this research was to examine QoL in older women with early stage breast cancer, within the first year of post-treatment survivorship. The specific aims of this study were to: 1) Describe the changes in overall QoL and the four QoL domains of Physical, Psychological, Social, and Spiritual well-being; 2) Examine the effects of a psychoeducational support intervention on QoL outcomes in older women; and 3) Describe nurses' perceptions of their interactions with older breast cancer survivors. A descriptive, longitudinal design was used to answer the research questions. Data for this study were drawn from the Breast Cancer Education Intervention (BCEI), a longitudinal psychoeducational support intervention for women with early stage breast cancer. Fifty women from the BCEI who were 65 years of age and older were included in this sample, of whom 24 were assigned to the Experimental (EX) Group and 26 were assigned to the Wait Control (WC) Group. Data were collected at three time points: baseline, three months, and six months after study entry. Measurement tools included the BCEI Demographics Form, the Quality of Life-Breast Cancer Survey (QoL-BC), and field notes of the BCEI Research Nurses. The QoL-BC survey is a 50-item scale that measures QoL in women with breast cancer. Descriptive statistics, Generalized Estimating Equation (GEE) methods and t-tests were used to answer research questions #1 and #2. Content analysis was used to answer research question #3. Subjects reported good overall QoL at baseline, but QoL declined over six months. Physical and Psychological well-being declined from baseline to six months later. Social well-being initially improved from baseline to three months but declined at six months. Spiritual well-being initially declined at three months and improved at six months. There was insufficient power to detect a difference in the effects of the BCEI Intervention between the two groups. However, the decline in overall QoL was less in the EX Group. Field notes focusing on nurses' perception of their interactions with older women revealed four themes. These themes include: continuing breast-related health, personal health issues, family health issues, and potential stressors. Results from this study suggest that: 1) changes in overall QoL and within the four QoL domains occur over time; 2) decline in overall QoL was lessened by the BCEI Intervention; and 3) concerns after treatment are both breast cancer and non-breast cancer related. Study findings can direct future research in the following areas: 1) identification of specific concerns within each QoL domain that could lead to an increase or decrease in well-being in older breast cancer survivors; 2) interventions tailored to the needs of older breast cancer survivors to maintain, improve, or lessen decline in QoL after treatment; and 3) reconceptualizing QoL in older breast cancer survivors to include non-cancer related factors.
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Date Issued: 2007
Identifier: CFE0001720, ucf:47298
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001720

Title: USING SURROGATE MEASURES TO PREDICT PATIENT SATISFACTION IN THE EMERGENCY DEPARTMENT.
Creator: Egri, Erica, Malone, Linda, University of Central Florida
Abstract / Description: With healthcare organizations struggling to remain competitive and financially stable in a market where minimizing costs is a priority, hospital administrators feel the sense of urgency when it comes to keeping patients satisfied with services in order to expand volume and market share. The Emergency Department is considered the front door of a healthcare organization, and keeping its visitors satisfied in order to guarantee a future visit or a referral to a friend or family member is a must....
Show moreWith healthcare organizations struggling to remain competitive and financially stable in a market where minimizing costs is a priority, hospital administrators feel the sense of urgency when it comes to keeping patients satisfied with services in order to expand volume and market share. The Emergency Department is considered the front door of a healthcare organization, and keeping its visitors satisfied in order to guarantee a future visit or a referral to a friend or family member is a must. While patient input on the services received in a healthcare facility is essential to improving quality of care, the costs associated with measuring, collecting and analyzing their feedback are remarkable. This research focuses on developing a linear regression model to predict patient satisfaction in the ED using surrogate measures related to patient's socio-demographic characteristics and visit characteristics. With a model of this kind, healthcare administrators can potentially eliminate survey costs while still being able to determine where the hospital stands in the eyes of the patient. Three modeling approaches were used to develop a multiple regression equation. Modeling approach 1 used monthly patient satisfaction scores as the dependent variable collected by a third-party survey organization. The goal of this model was to predict monthly patient satisfaction scores. Modeling approach 2 used patient satisfaction scores collected by the discharge registrar prior to the patient leaving the ED. The goal of this model was to predict patient satisfaction scores on a patient-by-patient basis. Modeling approach 3 used patient satisfaction scores collected by a third-party survey organization. The goal of this modeling approach was to predict patient satisfaction scores on a patient-by-patient basis. Each modeling approach developed in this study used its own survey tool. Though this study had limitations when it came to developing the models and validating the findings, results are very promising. Analysis shows that predicting average patient satisfaction scores on a monthly basis gives the most accurate results, with socio-demographic characteristics and visit characteristics explaining 96% of variation in monthly average patient satisfaction scores. Other model indicators, such as normality of residuals, predicted error, mean square error, and predicted R-square show that the model fits the data very well and has strong predictive ability. Models that attempted to predict patient satisfaction on a patient-by-patient basis appeared to be ineffective, with very large predicted errors and prediction intervals and low predictive ability.
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Date Issued: 2007
Identifier: CFE0001657, ucf:47241
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001657

Title: IMAGE QUALITY ANALYSIS USING GLCM.
Creator: Gadkari, Dhanashree, Clarke, Thomas, University of Central Florida
Abstract / Description: Gray level co-occurrence matrix has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the gray level co-occurrence matrix help understand the details about the overall image content. The aim of this research is to investigate the use of the gray level co-occurrence matrix technique as an absolute image quality metric. The underlying hypothesis is that image quality can be determined by a comparative process in which a sequence of...
Show moreGray level co-occurrence matrix has proven to be a powerful basis for use in texture classification. Various textural parameters calculated from the gray level co-occurrence matrix help understand the details about the overall image content. The aim of this research is to investigate the use of the gray level co-occurrence matrix technique as an absolute image quality metric. The underlying hypothesis is that image quality can be determined by a comparative process in which a sequence of images is compared to each other to determine the point of diminishing returns. An attempt is made to study whether the curve of image textural features versus image memory sizes can be used to decide the optimal image size. The approach used digitized images that were stored at several levels of compression. GLCM proves to be a good discriminator in studying different images however no such claim can be made for image quality. Hence the search for the best image quality metric continues.
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Date Issued: 2004
Identifier: CFE0000273, ucf:46223
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000273

Title: LAND USE EFFECTS ON LAKE WATER QUALITY IN CENTRAL FLORIDA.
Creator: Seiler, Jonathan, Weishampel, John F., University of Central Florida
Abstract / Description: ABSTRACT Land use affects the water quality of lakes. Different land use types yield different effects due to varying amounts and constituents of runoff. In this study, the effects of surrounding land use on the water quality of 50 lakes in Seminole County, Florida was assessed. Using GIS, I placed buffers of 100 and 500 m around each lake. The percentages of land use type were calculated within these buffers for 1990 and 1995. An ordination of lakes was done using Canonical Correspondence...
Show moreABSTRACT Land use affects the water quality of lakes. Different land use types yield different effects due to varying amounts and constituents of runoff. In this study, the effects of surrounding land use on the water quality of 50 lakes in Seminole County, Florida was assessed. Using GIS, I placed buffers of 100 and 500 m around each lake. The percentages of land use type were calculated within these buffers for 1990 and 1995. An ordination of lakes was done using Canonical Correspondence Analysis (CCA) to determine if the surrounding land use patterns were adequate to describe the trophic status of the lakes. Correlations between land use and water quality were found to be significant for the 1990 100 and 500 m buffers. Inter-set correlations showed that among land use types: residential, urban, agriculture, hardwoods, and wetlands were the most influential in determining water quality in that they had the most positive or negative correlation with the WA scores depending on the year and buffer zone. Excessively drained and very poorly drained soils were the most influential of the soil types. A Discriminant Function Analysis (DFA) was also performed to determine which land use and soil variables were effective in discriminating between oligotrophic, mesotrophic, and eutrophic lakes. Wetlands and very poorly drained soil were the most effective in discriminating between the groups of lakes. A multiple regression analysis was performed that determined correlations for 1990 and change in land use 100 m buffers contributed to our understanding of the relationship between land use and water quality. Effects of land use on water quality need to be considered when attempting to restore a lake or subjecting it to future land development.
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Date Issued: 2004
Identifier: CFE0000138, ucf:46174
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000138

Title: A CASE STUDY OF FOUR YEARS DOCUMENTING THE CHANGES IN THE PROCESS OF SELF-REPORTING ACADEMIC PROGRAM PLANS ALONGSIDE THE PERCEPTIONS OF PROGRAM COORDINATORS.
Creator: Kulkarni, Kedar, Martin, Suzanne, University of Central Florida
Abstract / Description: Major Advisors: Suzanne Martin, Ph.D., Laura Blasi, Ph.D. Universities in the United States of America are faced with numerous challenges concerning quality assurance such as the quest for Continuous Quality Improvement. Implementation of technology has been a priority of many developing institutions of higher education. A large metropolitan institution of higher education has put into practice a technology based, on-line program quality assessment system, for its academic and administrative...
Show moreMajor Advisors: Suzanne Martin, Ph.D., Laura Blasi, Ph.D. Universities in the United States of America are faced with numerous challenges concerning quality assurance such as the quest for Continuous Quality Improvement. Implementation of technology has been a priority of many developing institutions of higher education. A large metropolitan institution of higher education has put into practice a technology based, on-line program quality assessment system, for its academic and administrative programs. This dissertation was a study of the changes reported over four years, 2001-2005, within ten initial teacher preparation undergraduate programs at the College of Education at this institution. Using a mixed method approach, this study addressed the following primary questions: 1. Since the system was introduced; a. Has the process of monitoring quality in the academic units changed? b. If changes have occurred in the program plans, how have they been documented and implemented? 2. What are the limitations/benefits of the system, as perceived by its users? This study is a case for its readers to understand the process of quality improvement as practiced in a college of education within a metropolitan university.
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Date Issued: 2006
Identifier: CFE0001042, ucf:46805
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001042

Title: YOGA'S EFFECT ON QUALITY OF LIFE IN BREAST CANCER SURVIVORS.
Creator: Licata, Nicole M, Loerzel, Victorial, University of Central Florida
Abstract / Description: Background: Breast cancer is the most common cancer in the world with approximately 1.7 million new cases diagnosed in 2012. While women with breast cancer are treated with a multitude of different therapies, these treatments can lead to long-term effects that impact quality of life (i.e. fatigue, pain, lymphedema, anxiety, depression, osteoporosis). With more people looking into complementary and alternative medicine (CAM), research on yoga�s effect on quality of life in breast cancer...
Show moreBackground: Breast cancer is the most common cancer in the world with approximately 1.7 million new cases diagnosed in 2012. While women with breast cancer are treated with a multitude of different therapies, these treatments can lead to long-term effects that impact quality of life (i.e. fatigue, pain, lymphedema, anxiety, depression, osteoporosis). With more people looking into complementary and alternative medicine (CAM), research on yoga�s effect on quality of life in breast cancer survivors is vital. Methods: This literature synthesis used PsychINFO, MEDLINE, and CINAHL explore current research on yoga's effects on quality of life in breast cancer survivors. Search terms included: breast cancer, survivor, quality of life, lifestyle, wellbeing, clinical trial, and controlled trial. Literature was excluded if it included men, women under cancer treatment and if yoga was included in a mindfulness intervention. Results: Eleven articles met the inclusion criteria. Yoga was shown to have a positive impact on fatigue, pain, anxiety, depression, and breast cancer survivors' quality of life. A majority of the studies measured quality of life using the FACT-B and FACT-G scale. Others used similar measurement tools and qualitative journal entries. Specific studies indicated improvements in aromatase-inhibitor associated arthralgia, diurnal salivary cortisol levels, and menopausal symptoms. Conclusions: Yoga appears to be beneficial in improving breast cancer survivor's quality of life. More research is needed. However, nurses can use this information to educate clients about the benefit of yoga in survivorship. This research may promote further utilization of CAM in improving quality of life.
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Date Issued: 2016
Identifier: CFH2000036, ucf:45593
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH2000036

Title: PEDIATRIC MISSCARE SURVEY TO FILL IN THE GAPS.
Creator: Baker, Molly S, Diaz, Desiree, Andrews, Diane, University of Central Florida
Abstract / Description: Missed nursing care, according to Kalisch and Williams, is nursing care that is not completed to the highest quality of care, leading to an increase in hospital costs and poor patient outcomes. Missed nursing care can occur with any patient population; however, a survey by Kasich called the MISSCARE Survey has only been used in the adult and neonatal populations. Pediatric patients are a diverse and complex subset of the population, differing greatly from the adult and neonatal populations,...
Show moreMissed nursing care, according to Kalisch and Williams, is nursing care that is not completed to the highest quality of care, leading to an increase in hospital costs and poor patient outcomes. Missed nursing care can occur with any patient population; however, a survey by Kasich called the MISSCARE Survey has only been used in the adult and neonatal populations. Pediatric patients are a diverse and complex subset of the population, differing greatly from the adult and neonatal populations, thus identifying a need for a focused pediatric survey to effectively study missed nursing care in the pediatric setting. The purpose of this research, therefore, was to create and validate a pediatric nursing care survey. A convenience sample of 10 pediatric experts completed the Expert Panel Survey to determine a content validity ratio (CVR) and content validity index (CVI) of a modified, MISSCARE Survey (Kalisch and Williams, 2009). Items determined to be essential by ninety percent or more of the participants (CVR > 0.78), were included in the MISSCARE-Pediatric Survey. Results showed that the CVI of the MISSCARE-Pediatric Survey determined by the Expert Panel was 0.9, meaning the items are essential to the pediatric population (Gilbert and Prion, 2016a). The created MISSCARE-Pediatric Survey includes 18 questions in section A (Types of Missed Nursing Care), 28 questions in section B (Reasons for Missed Nursing Care), and 9 questions in Demographics. Future research will determine content reliability of the MISSCARE-Pediatric Survey.
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Date Issued: 2018
Identifier: CFH2000401, ucf:45752
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH2000401

Title: Characterization of Florida Landfills with Elevated Temperatures.
Creator: Joslyn, Ryan, Reinhart, Debra, Lee, Woo Hyoung, Randall, Andrew, University of Central Florida
Abstract / Description: The occurrence of elevated temperatures within landfills is a very challenging issue for landfill operators to detect and correct. Little is known regarding the causes of elevated temperatures (ETs) and the number of landfills currently operating under such conditions. Therefore, the goal of this research was to determine which landfills within Florida have been impacted by ETs, and to develop a more complete understanding of the factors that may lead to these landfills becoming elevated...
Show moreThe occurrence of elevated temperatures within landfills is a very challenging issue for landfill operators to detect and correct. Little is known regarding the causes of elevated temperatures (ETs) and the number of landfills currently operating under such conditions. Therefore, the goal of this research was to determine which landfills within Florida have been impacted by ETs, and to develop a more complete understanding of the factors that may lead to these landfills becoming elevated temperature landfills (ETLFs). Historical landfill gas wellhead data, waste deposition reports, and landfill site geometry were collected for 27 landfill cells through the FDEP OCULUS database and from landfill operators and owners. These data were evaluated to quantify the statistical characteristics that result in landfills becoming 'elevated' in temperature. Gas data included landfill gas temperatures, methane content, carbon dioxide content, and balance gas readings. Waste deposition information was gathered through solid waste reports for each landfill. Landfill site geometry was found through landfill permits, topographical landfill diagrams, and annual operation reports. Furthermore, landfill maps were created in ArcGIS to observe spatial distribution of ETs in landfills over time.Upon analysis of the landfill gas wellhead data, it was discovered that 74% of studied landfill cells had ET readings; regulatory limits specify a maximum allowable gas temperature of 55 degrees C (131 degrees F). When studying the solid waste reports, it was discovered that 37% of landfill cells contained MSW ash; of these cells, 90% of them are considered ETLFs. Regarding site geometry, it was found that ETLF cells are on-average double the site area and approximately 20 feet deeper than the average non-ETLF cell. Furthermore, results suggest that heat propagation in most landfills is limited; however, heat propagation is possible if gas wells are turned off for an extensive time period.
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Date Issued: 2019
Identifier: CFE0007471, ucf:52690
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007471

Title: Virtual Reality Technology and Customer Delight in Theme Parks: The Role of Experience Quality.
Creator: Jia, Chenge, Okumus, Fevzi, Fu, Xiaoxiao, Milman, Ady, Van Niekerk, Mathilda, Ozturk, Ahmet, University of Central Florida
Abstract / Description: With the rapid development of Virtual Reality (VR) technology, theme park companies are eager to apply VR technology to their attractions. Operating as highly hedonic consumption businesses, theme parks need to make sure that they offer unique and memorable experiences to customers in order to enhance their competitive advantages. However, empirical data is needed to understand whether and how VR technology will enhance visitors' experiences, including the quality of their experience,...
Show moreWith the rapid development of Virtual Reality (VR) technology, theme park companies are eager to apply VR technology to their attractions. Operating as highly hedonic consumption businesses, theme parks need to make sure that they offer unique and memorable experiences to customers in order to enhance their competitive advantages. However, empirical data is needed to understand whether and how VR technology will enhance visitors' experiences, including the quality of their experience, customer delight, and customer loyalty. Therefore, this study aims to examine how VR influences visitor's theme park experience quality, customer delight, and customer loyalty. Based on an in-depth literature review, a research model and hypotheses were developed. Through a self-administered questionnaire, empirical data was collected from theme park visitors who have experienced VR attractions during the past three months. According to the results of the study, the hedonism factor is the most important antecedent of customer delight, which in turn stimulates customer loyalty. Additionally, customer loyalty toward the VR attraction shows positively and partially mediated effects between customer delight and customer loyalty toward the theme park that contains the VR attraction. The study contributes to the empirical study of VR technology application and the concept of customer delight in the entertainment sector of the tourism industry. This study also suggests that theme park operators should emphasize offering a hedonic experience to customers. Suggestions for future research are also provided.
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Date Issued: 2018
Identifier: CFE0007404, ucf:52071
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007404

Title: Meeting planner loyalty to convention service managers: An investigation of convention service manager emotional and functional competence in the business-to-business exchange.
Creator: Holm, Michelle, Dickson, Duncan, Muller, Christopher, Severt, Denver, University of Central Florida
Abstract / Description: The current state of literature surrounding the business-to-business (BTB) exchange in the meetings, incentives, conventions, and events (MICE) industry is limited. Likewise, the manner in which meeting planners forge their intentions to repurchase was unknown until the present study was conducted. The following research focused on the role of the hotel convention service manager (CSM) in the BTB exchange with the meeting planner to understand the role they play in the meeting planner's...
Show moreThe current state of literature surrounding the business-to-business (BTB) exchange in the meetings, incentives, conventions, and events (MICE) industry is limited. Likewise, the manner in which meeting planners forge their intentions to repurchase was unknown until the present study was conducted. The following research focused on the role of the hotel convention service manager (CSM) in the BTB exchange with the meeting planner to understand the role they play in the meeting planner's decision to repurchase. Since hotel CSMs have not been assessed in previous literature, one of the major contributions of this study was that it established a set of functional competencies on which to evaluate hotel CSM performance in on-the-job tasks. The current study also introduced an emotional competence evaluation by means of asking meeting planners to evaluate hotel CSMs on well-being, emotionality, self control and sociability, in the face of client interaction. It was found that both forms of competency performance significantly contribute to the planner's perceptions of relationship quality. The current state of the literature was also ambiguous surrounding relationship quality in the BTB exchange. It was well established that relationship quality was most commonly composed of at least two dimensions: trust and commitment. However, because this study investigated the BTB exchange in an individual-individual context, likability was added as a new dimension of relationship quality. The second order factor structure of relationship quality was confirmed, and post-hoc tests revealed that a meeting planner's perceptions of emotional and functional competence in the exchange, appears to hinge on the quality of that relationship, when the meeting planner is evaluating their intentions to repurchase with the property and the hotel CSM. In fact, repeat purchase intentions with the hotel CSM were found to supersede intentions with the property, thereby establishing hotel CSMs as directors of repeat business for their respective employer (property). To accomplish this study's objectives, a mixed-mode methodology was employed. Qualitative analysis was conducted after collecting data via semi-structured interviews and focus groups to establish the functional competencies of hotel CSMs and create a generic scale for assessing those competencies. Quantitative analysis was preceded by a survey composed of five sections: functional competence, emotional competence, relationship quality, repeat purchase intention, and demographics. Data was collected from meeting planners, which resulted in a usable sample of 324 responses. Exploratory factor analysis was conducted on functional competence to understand its underlying latent structure. A robust reliability analysis and a priori testing was employed prior to conducing confirmatory factor analyses, which were followed by structural equation modeling to test the proposed theoretical model. The results showed the following. Functional and emotional competence were positively related to relationship quality, respectively. The second order factor structure of relationship quality was established, composed of the following first order factors: trust, commitment, and likability. Finally, perceived relationship quality is positively related to repeat purchase intention with the property and with the hotel CSM. The study offered a number of theoretical and practical implications, and limitations and directions for future research were also discussed in the final chapter.
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Date Issued: 2016
Identifier: CFE0006688, ucf:51925
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006688

Title: Aging Well: How Subjective Age, Playfulness, and Depression Influence Quality of Life Among Older Adults.
Creator: Saliba El-Habre, Yvette, Barden, Sejal, Taylor, Dalena, Lambie, Glenn, Robinson, Edward, Witta, Eleanor, University of Central Florida
Abstract / Description: Given the growing population of aging adults, there is a need for research examining factors that enhance quality of life for older adults (QoL; Colby (&) Ortman, 2014). Changes in health, relationships, support systems, and social identity are inevitable throughout the lifespan. Therefore, research focused on lessening the negative effects of changes due to aging while also improving QoL is warranted. As such, the aim of the current research study was to examine the extent to which...
Show moreGiven the growing population of aging adults, there is a need for research examining factors that enhance quality of life for older adults (QoL; Colby (&) Ortman, 2014). Changes in health, relationships, support systems, and social identity are inevitable throughout the lifespan. Therefore, research focused on lessening the negative effects of changes due to aging while also improving QoL is warranted. As such, the aim of the current research study was to examine the extent to which subjective age (SA; how old or young an individual feels), playfulness (PF; (")the ability to frame or reframe everyday situations to experience them as entertaining, intellectually stimulating, and/or personally interesting(") [Proyer, 2015, p. 93-94]), and depression (an emotional state ranging from mild discouragement to feelings of extreme despair [CDC, 2017; Corsini, 2002]) predict QoL ((")a person's sense of well-being that stems from satisfaction or dissatisfaction with the areas of life that are important to him or her(") [Ferrans, 1985, p. 15]) among adults over the age of 55. Using convenience sampling with eligibility requirements, adults (N = 1,315) 55 and older and who spoke and read English were surveyed both face-to-face (F2F) and online (e.g., Amazon Mechanical Turk and a senior educational program). Standard multiple regression was utilized, and results identified a statistically significant model with the variable of depression predicting the largest unique contribution to the model, while PF predicted a small, statistically significant contribution. Subjective age did not statistically contribute to the prediction. Implications from the findings that relate to counselors, counselor educators, and researchers are provided. In addition, the findings provide guidance and a new perspective on variables associated with QoL and aging adults.
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Date Issued: 2018
Identifier: CFE0007090, ucf:51959
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007090

Title: Necessary Conditions for Open-Ended Evolution.
Creator: Soros, Lisa, Stanley, Kenneth, Gonzalez, Avelino, Wiegand, Rudolf, Cash, Mason, University of Central Florida
Abstract / Description: Evolution on Earth is widely considered to be an effectively endless process. Though this phenomenon of open-ended evolution (OEE) has been a topic of interest in the artificial life communitysince its beginnings, the field still lacks an empirically validated theory of what exactly is necessary to reproduce the phenomenon in general (including in domains quite unlike Earth). Thisdissertation (1) enumerates a set of conditions hypothesized to be necessary for OEE in addition to (2)...
Show moreEvolution on Earth is widely considered to be an effectively endless process. Though this phenomenon of open-ended evolution (OEE) has been a topic of interest in the artificial life communitysince its beginnings, the field still lacks an empirically validated theory of what exactly is necessary to reproduce the phenomenon in general (including in domains quite unlike Earth). Thisdissertation (1) enumerates a set of conditions hypothesized to be necessary for OEE in addition to (2) introducing an artificial life world called Chromaria that incorporates each of the hypothesizednecessary conditions. It then (3) describes a set of experiments with Chromaria designed to empirically validate the hypothesized necessary conditions. Thus, this dissertation describes the firstscientific endeavor to systematically test an OEE framework in an alife world and thereby make progress towards solving an open question not just for evolutionary computation and artificial life,but for science in general.
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Date Issued: 2018
Identifier: CFE0007247, ucf:52205
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007247

Title: Molecular Size Distributions of Heavy Metals in Lake Washington.
Creator: Andrews, William B., Taylor, James S., Engineering
Abstract / Description: University of Central Florida College of Engineering Thesis; Four untreated and one magnesium treated water samples from Lake Washington, the potable water source for the city of Melbourne, Florida, were collected and analyzed for As, Cd, Cr, Cu, Fe, Pb, Ni, Zn, Mb, Ca, and color on the basis of molecular weight distribution. Molecular weight distributions of the samples were obtained using a Millipore ultrafiltration system and filters in the following sizes: 106, 105, 2.5 x 104, 104, and...
Show moreUniversity of Central Florida College of Engineering Thesis; Four untreated and one magnesium treated water samples from Lake Washington, the potable water source for the city of Melbourne, Florida, were collected and analyzed for As, Cd, Cr, Cu, Fe, Pb, Ni, Zn, Mb, Ca, and color on the basis of molecular weight distribution. Molecular weight distributions of the samples were obtained using a Millipore ultrafiltration system and filters in the following sizes: 106, 105, 2.5 x 104, 104, and 103 nominal molecular weight limits (nmwl). color causing materials in the untreated samples were found to be located in the molecular weight fraction greater than 2.5 x 104 nmwl. The majoity of the metals concentrations (approximately greater than 80%) were also found to be located in the molecular weight fraction greater than 2.5 x 104 nmwl. Analysis of the magnesium treated (for maximum color removal) sample showed higher concentrations of metals passing the respective filter sizes as opposed to the untreated samples indicating less complexation or smaller molecular complexes of the metals. Thus, a fairly strong correlation betwee heavy metals concentrations and colorin the Lake Washington samples was indicated.
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Date Issued: 1979
Identifier: CFR0008138, ucf:52945
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFR0008138

Title: MEASURING AND IMPROVING INTERNET VIDEO QUALITY OF EXPERIENCE.
Creator: Iyengar, Mukundan, Chatterjee, Mainak, University of Central Florida
Abstract / Description: Streaming multimedia content over the IP-network is poised to be the dominant Internet traffic for the coming decade, predicted to account for more than 91% of all consumer traffic in the coming years. Streaming multimedia content ranges from Internet television (IPTV), video on demand (VoD), peer-to-peer streaming, and 3D television over IP to name a few. Widespread acceptance, growth, and subscriber retention are contingent upon network providers assuring superior Quality of Experience (QoE...
Show moreStreaming multimedia content over the IP-network is poised to be the dominant Internet traffic for the coming decade, predicted to account for more than 91% of all consumer traffic in the coming years. Streaming multimedia content ranges from Internet television (IPTV), video on demand (VoD), peer-to-peer streaming, and 3D television over IP to name a few. Widespread acceptance, growth, and subscriber retention are contingent upon network providers assuring superior Quality of Experience (QoE) on top of todays Internet. This work presents the first empirical understanding of Internet's video-QoE capabilities, and tools and protocols to efficiently infer and improve them. To infer video-QoE at arbitrary nodes in the Internet, we design and implement MintMOS: a lightweight, real-time, no-reference framework for capturing perceptual quality. We demonstrate that MintMOS's projections closely match with subjective surveys in accessing perceptual quality. We use MintMOS to characterize Internet video-QoE both at the link level and end-to-end path level. As an input to our study, we use extensive measurements from a large number of Internet paths obtained from various measurement overlays deployed using PlanetLab. Link level degradations of intra-- and inter--ISP Internet links are studied to create an empirical understanding of their shortcomings and ways to overcome them. Our studies show that intra--ISP links are often poorly engineered compared to peering links, and that degradations are induced due to transient network load imbalance within an ISP. Initial results also indicate that overlay networks could be a promising way to avoid such ISPs in times of degradations. A large number of end-to-end Internet paths are probed and we measure delay, jitter, and loss rates. The measurement data is analyzed offline to identify ways to enable a source to select alternate paths in an overlay network to improve video-QoE, without the need for background monitoring or apriori knowledge of path characteristics. We establish that for any unstructured overlay of N nodes, it is sufficient to reroute key frames using a random subset of k nodes in the overlay, where k is bounded by O(lnN). We analyze various properties of such random subsets to derive simple, scalable, and an efficient path selection strategy that results in a k-fold increase in path options for any source-destination pair; options that consistently outperform Internet path selection. Finally, we design a prototype called source initiated frame restoration (SIFR) that employs random subsets to derive alternate paths and demonstrate its effectiveness in improving Internet video-QoE.
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Date Issued: 2011
Identifier: CFE0004012, ucf:49168
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004012

Title: INNOVATIVE POLLUTANT LOAD MONITORING.
Creator: Gurr, Eric, Nnadi, Fidelia, University of Central Florida
Abstract / Description: Modern streamflow measuring equipment, water quality sampling techniques and a better understanding of pollutant washoff are continuously being developed as today's society is in critical need of improving water management, minimizing developmental impacts and preventing environmental hazards. In particular, the study of the spatial, temporal and volumetric characteristics of annual pollutant loading caused by variations in precipitation, land use and other anthropogenic factors is of great...
Show moreModern streamflow measuring equipment, water quality sampling techniques and a better understanding of pollutant washoff are continuously being developed as today's society is in critical need of improving water management, minimizing developmental impacts and preventing environmental hazards. In particular, the study of the spatial, temporal and volumetric characteristics of annual pollutant loading caused by variations in precipitation, land use and other anthropogenic factors is of great significance due to their relation to future global water demands. The research presented here falls in three parts. In the first part of the dissertation, an acoustical doppler velocity profiler installed in a submerged concrete channel is proposed to continually measure the annual fluctuation in streamflow levels down to dry channel conditions. The tailwater influenced, intermittent streamflow conditions for the City of Kissimmee, Florida were selected for the evaluation of this approach under a 3-year study from 2006 to 2008. The performance of these concrete channels were systematically evaluated by comparisons with established field measurement techniques over various stream configurations and flow conditions. The second part of this research investigates the dynamics of flood wave detection with respect to enabling an automatic water quality sampler to start collecting samples. The main focus was on the accurate detection of flood waves in the absence of rainfall and the presence of fluctuating baseflows and stream stages. In the 3-year study, it was shown that a dual parameter trigger, utilizing independent measuring equipment, resulted in accurate flood wave detection with minimal false triggering of the autosampler. In addition, an incremental or percent deviation from a moving average of stage or flow proved to be a more consistent indicator for the presence of a flood wave. In the third part of this work, the frequency of water quality sampling and the associated level of detail for sampling of rainfall events were investigated with respect to accurately depicting annual pollutant loads. It was found that the seasonal variations in baseflow pollutant loads are not accurately represented by current 4-quarter grab sampling. Also, significant pollutant loading within rainfall events may not be captured by only performing grab sampling during baseflow conditions. In addition, although increased pollutant concentrations were observed within the initial 30 minutes of the flood wave, their actual loadings did not represent a significant impact on the annual pollutant loads. A bi-weekly grab sampling frequency was found to be adequate in many cases to depict the annual pollutant loads, but depending upon the targeted constituent and particular streamflow condition, rainfall event sampling might also be necessary. The results of this research complemented with other studies will promote better understanding of intermittent streamflows, accurate flood wave detection, and assessment of annual pollutant loads to our nation's waterbodies.
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Date Issued: 2011
Identifier: CFE0004002, ucf:49159
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004002

Title: SERVICE QUALITY IN ACADEMIC LIBRARIES: AN ANALYSIS OF LIBQUAL+™ SCORES AND INSTITUTIONAL CHARACTERISTICS.
Creator: Miller, Kathleen, Bozeman, William, University of Central Florida
Abstract / Description: This exploratory study considered the problem of assessing quality in academic libraries. The research question that framed the investigation asked whether service quality scores from the LibQUAL+™ instrument were related to the following college or university characteristics: institutional type, enrollment level, or the level of investment made in libraries. Data regarding Carnegie classification, FTE enrollment, and library expenditures were collected for 159 college and university...
Show moreThis exploratory study considered the problem of assessing quality in academic libraries. The research question that framed the investigation asked whether service quality scores from the LibQUAL+™ instrument were related to the following college or university characteristics: institutional type, enrollment level, or the level of investment made in libraries. Data regarding Carnegie classification, FTE enrollment, and library expenditures were collected for 159 college and university libraries that participated in LibQUAL+™ during 2006. Descriptive statistics, bivariate correlations, and regression analyses were calculated and the Bonferroni adjustment was applied to significance levels to compensate for errors caused by repeated calculations using the same data. Several statistically significant relationships were found; notably, negative correlations were found between each of the LibQUAL+™ scores and total library expenditures. The study suggested that higher expectations among library users in large, research libraries led to slightly lower LibQUAL+™ scores. Implications for practice included that survey results should only be used as one component of an assessment strategy, and practitioners might consider the potential role of library marketing or public relations efforts to influence user expectations. Recommendations were made for future research including replicating some aspects of this study with a more representative sample, analyzing respondent comments as well as score data, and exploring whether there are reliable differences in results for different types of institutions or among groups of respondents (students and faculty, or faculty by discipline).
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Date Issued: 2008
Identifier: CFE0002007, ucf:47628
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002007

Water Quality (8)	+ -
quality of life (8)	+ -
quality (7)	+ -
water quality (7)	+ -
Quality (6)	+ -

Quality of Service (4)	+ -
Quality of Life (3)	+ -
Service Quality (3)	+ -
distribution system (3)	+ -
quality improvement (3)	+ -
quality of care (3)	+ -
structural equation modeling (3)	+ -
student achievement (3)	+ -
teacher quality (3)	+ -
Air Quality (2)	+ -
Bragg grating (2)	+ -
CAL3QHC (2)	+ -
CLASS (2)	+ -
Central Florida (2)	+ -
Classroom Quality (2)	+ -
Corrosion (2)	+ -
Customer Satisfaction (2)	+ -
Data Fusion (2)	+ -
Environmental Engineering (2)	+ -
MOVES (2)	+ -
Performance (2)	+ -
Phosphorus (2)	+ -
Quality Factor (2)	+ -
Quality Management (2)	+ -
Quality of Experience (2)	+ -

ETD Collection (123)	+ -
Honors Collection (16)	+ -

English (138)	+ -
Engilsh (1)	+ -

University of Central Florida (135)	+ -
Elshennawy, Ahmad (6)	+ -
Randall, Andrew (6)	+ -
Wan, Thomas (6)	+ -
Duranceau, Steven (5)	+ -

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