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Title: PROTESTANT'S GUIDE TO CATHOLIC "NUNSENSE"A PERFORMANCE STUDY AND ANALYSIS OF "SISTER MARY HUBERT".
Creator: Endsley, Anita, Chicurel, Steven, University of Central Florida
Abstract / Description: Anita Endsley will portray the role of Sister Mary Hubert in the musical Nunsense at Seaside Music Theatre in Daytona Beach, Florida from October 28 through November 14, 2005. This parody of convent life in crisis written by Dan Goggin provides a breadth of material for analysis of the genre as well as character analysis. Dissecting the comedy will be the foundation for characteer development. The popularity of this musical among Catholic and non-Catholic audiences have created a market that...
Show moreAnita Endsley will portray the role of Sister Mary Hubert in the musical Nunsense at Seaside Music Theatre in Daytona Beach, Florida from October 28 through November 14, 2005. This parody of convent life in crisis written by Dan Goggin provides a breadth of material for analysis of the genre as well as character analysis. Dissecting the comedy will be the foundation for characteer development. The popularity of this musical among Catholic and non-Catholic audiences have created a market that inspired the writer to extend this theme through five sequels. The commercial success of these musicals suggest a strong connection between the demands of the Catholic doctrine and the foundation for comic relief. A vast amount of research can be incorporated to assist in the analysis of comedy written into Nunsense.
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Date Issued: 2005
Identifier: CFE0000531, ucf:46420
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000531

Title: PERFORMANCE ANALYSIS OF LOW-POWER, SHORT-RANGE WIRELESS TRANSCEIVERS.
Creator: NEUPANE, USHA, Richie, Samuel, University of Central Florida
Abstract / Description: To address the various emerging standards like BluetoothTM, Home RF, Wi-fiTM (IEEE 802.11), ZigBeeTM etc., in the field of wireless communications, different transceivers have been designed to operate at various frequencies such as 450 MHz, 902-920 MHz, 2.4 GHz, all part of designated ISM band. Though, the wireless systems have become more reliable, compact and easy to develop than before, a detailed performance analysis and characterization of the devices should be done. This report details...
Show moreTo address the various emerging standards like BluetoothTM, Home RF, Wi-fiTM (IEEE 802.11), ZigBeeTM etc., in the field of wireless communications, different transceivers have been designed to operate at various frequencies such as 450 MHz, 902-920 MHz, 2.4 GHz, all part of designated ISM band. Though, the wireless systems have become more reliable, compact and easy to develop than before, a detailed performance analysis and characterization of the devices should be done. This report details the performance analysis and characterization of a popular binary FSK transceiver TRF6901 from Texas Instruments. The performance analysis of the device is done with respect to the TRF/MSP430 demonstration and development kit.
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Date Issued: 2004
Identifier: CFE0000319, ucf:46284
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000319

Title: AN ANALYSIS OF FLORIDA PUBLIC COMMUNITY COLLEGE FOUNDATIONS' PERFORMANCE MEASURES FROM 2002-2004.
Creator: Sanders, Karen, Hahs-Vaughn, Debbie, University of Central Florida
Abstract / Description: The focus of this research was to examine the performance of Florida public community college foundations from 2002-2004 using performance ratios. The findings from this study may assist community college foundation leaders to better understand the performance of their own organizations, compare this performance to other similar organizations, establish relative performance standards, and influence the strategic initiatives to improve an existing foundation. This study was designed to...
Show moreThe focus of this research was to examine the performance of Florida public community college foundations from 2002-2004 using performance ratios. The findings from this study may assist community college foundation leaders to better understand the performance of their own organizations, compare this performance to other similar organizations, establish relative performance standards, and influence the strategic initiatives to improve an existing foundation. This study was designed to research the financial performance measurement ratios for the 28 public community college foundations in Florida. Ex post facto data that were publicly available were utilized to acquire the information needed for the statistical analyses; therefore, the population was comprised of all 28 Florida community college foundations. Data were collected from each institution's Form 990. A total of 27 ratios were calculated by year for 2002, 2003, and 2004 and were categorized into 6 areas: (a) measures of fiscal performance, (b) measures of fundraising efficiency, (c) measures of public support, (d) measures of adequacy of resources to support mission, (e) measures of use of resources to support mission, and (f) measures of investment performance and concentration. The study included benchmarking data in the form of descriptive statistics for these ratios and comprehensive analysis. In addition, three repeated measures analysis of variance models were computed to determine if the contributions and grants, fundraising expense, and program service expense ratios varied over time. There were no mean differences over time during the three-year period from 2002 to 2004.
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Date Issued: 2008
Identifier: CFE0002408, ucf:47751
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002408

Title: THE ROLE OF ANXIETY IN MENTAL TUMBLING BLOCKS.
Creator: Thompson, Shannon, Jensen, Bernard, University of Central Florida
Abstract / Description: Mental tumbling blocks are a problem in sports such as cheerleading where the athlete has an unexplained fear related to performing a skill that has been previously executed successfully. The current study compared participants with and without a mental tumbling block on self-report measures of anxiety and on vocal analysis data indicating if anxiety or fear is present. Participants were female cheerleaders who ranged in age from 10 to 16 years old. The Sport Anxiety Scale-2 (SAS-2; Smith,...
Show moreMental tumbling blocks are a problem in sports such as cheerleading where the athlete has an unexplained fear related to performing a skill that has been previously executed successfully. The current study compared participants with and without a mental tumbling block on self-report measures of anxiety and on vocal analysis data indicating if anxiety or fear is present. Participants were female cheerleaders who ranged in age from 10 to 16 years old. The Sport Anxiety Scale-2 (SAS-2; Smith, Smoll, Cumming & Grossbard, 2006) and the Cheerleading Fear Inventory (CFI; modified from Cartoni, Minganti, and Zelli, 2005) were used in addition to vocal analysis measures assessing pitch and intensity. These vocal analysis measures were taken under two conditions while the cheerleader was interviewed (1) about tumbling and (2) about school. Results indicated that athletes with a mental block reported higher somatic anxiety, concentration disruption, and overall anxiety on the SAS-2 than participants who did not have a mental tumbling block. Similarly, athletes with a mental tumbling block reported higher scores on the CFI than athletes without a mental tumbling block. In addition, athletes with a mental tumbling block showed higher pitch on the vocal analysis measure than athletes without a mental tumbling regardless of interview condition. Finally, several significant correlations emerged between scores on the SAS-2, the CFI, and the vocal analysis measures. These results are discussed in terms of the existing literature, and practical suggestions are offered that may help coaches understand how to effectively handle mental blocks at practice.
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Date Issued: 2013
Identifier: CFH0004451, ucf:45129
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004451

Title: Affective Chickens and Performance Eggs: A Longitudinal Meta-Analysis.
Creator: Lapalme, Matthew, Joseph, Dana, Shoss, Mindy, Fritzsche, Barbara, Barsade, Sigal, University of Central Florida
Abstract / Description: The affective revolution in the organizational sciences has yielded a body of theoretical and empirical research examining the relationship between affect and performance. This work has typically advanced affect as a predictor of performance; however, more recent theory suggests that the relationship between affect and performance is reciprocal. Since little empirical work exists supporting reciprocity between affect and performance, the purpose of this dissertation is to test if affect and...
Show moreThe affective revolution in the organizational sciences has yielded a body of theoretical and empirical research examining the relationship between affect and performance. This work has typically advanced affect as a predictor of performance; however, more recent theory suggests that the relationship between affect and performance is reciprocal. Since little empirical work exists supporting reciprocity between affect and performance, the purpose of this dissertation is to test if affect and performance are actually reciprocally related. Importantly, the advent of longitudinal and experiential research designs in the organizational sciences affords empirical opportunities to test such theory. This dissertation examines the temporal patterning of relations between affect and performance using longitudinal meta-analysis. Using longitudinal meta-analysis, this dissertation shows that the relationship between affect and performance is equivalently reciprocal (i.e. performance predicts affect to the same extent that affect predicts performance) and that the relationships between negative affect and performance and positive affect and performance are similar in magnitude (i.e. there is no positive-negative asymmetry). This dissertation also suggested that positive affect and negative affect are compatible with a broad performance construct (i.e. task performance, OCB, CWB and withdrawal). Finally, this dissertation examined important measurement moderators and found: (a) affect is reciprocally related to episodic performance; (b) affect and performance are reciprocally related when time between measurements are longer than a month; and (c) state affect measures and trait affect measures both have reciprocal relationships with performance. This meta-analysis benefits the organizational sciences by providing support for existing theories of affect as a predictor of performance (e.g. (")happy-and-productive(") theories) and by validating theories which suggest that affect and performance are reciprocally related.
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Date Issued: 2017
Identifier: CFE0007125, ucf:51963
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007125

Title: CENTRAL FLORIDA HIGH SCHOOL PRINCIPALS' PERCEPTIONS OF THE FLORIDA SCHOOL INDICATORS REPORT.
Creator: Gaught, William, Hahs-Vaughn, Debbie, University of Central Florida
Abstract / Description: The purpose of this study was to identify the perceptions that central Florida public high school principals had regarding the Florida School Indicators Report (FSIR) and its usefulness. The FSIR, published by the Florida Department of Education, was designed to be a comprehensive, single source document for parents, lawmakers, and school administrators to compare key performance indicators to similar schools or districts state wide. It provided information on 74 different indicators of...
Show moreThe purpose of this study was to identify the perceptions that central Florida public high school principals had regarding the Florida School Indicators Report (FSIR) and its usefulness. The FSIR, published by the Florida Department of Education, was designed to be a comprehensive, single source document for parents, lawmakers, and school administrators to compare key performance indicators to similar schools or districts state wide. It provided information on 74 different indicators of school or district performance. A total of 70 public high school principals from 13 central Florida school districts responded to a postal survey and provided their perceptions regarding the importance of indicators in the FSIR, how they used the FSIR at their schools, and what barriers they felt affected the ability of their administrative staffs to collect and analyze data on the FSIR indicators. Eighteen of the 70 principals participated in follow-up telephone interviews. Quantitative and qualitative analysis of the postal surveys and interviews revealed the principals perceived FSIR indicators related to Florida's mandated Florida Comprehensive Assessment Test (FCAT) as the most important indictors in the FSIR. The indicators FCAT Results and FCAT Writes were ranked first and second respectively in priority by the participating principals. This finding demonstrated the importance that principals placed on the state's high-stakes test. Other categories of FSIR indicators are were also ranked in the findings reported in this study, along with how the principals used the FSIR at their schools. The data collected from the postal survey revealed there was a statistically significant relationship between the priority principals assigned to the FSIR indicators and their ability to collect and analyze data related to them. In addition, survey data allowed development of multiple regression models that could be used to predict the priority principals assigned to several FSIR categories of indicators based on the ability to collect and analyze data. The study findings indicated that principals perceived lack of time for data analysis as the biggest barrier they faced when evaluating the FSIR indicators. After the lack of time, principals rated lack of administrator training in data analysis as the second biggest obstacle to using the FSIR. The findings indicated that principals felt the availability of data and technology were not significant barriers to their staff's ability to conduct data analysis on the FSIR. The conclusions drawn from the study were that central Florida high school principals perceived the results on the state's mandated Florida Comprehensive Assessment Test (FCAT) to be the most important indicators in the FSIR. In addition, the research identified that the lack of time was the single greatest barrier principals encountered when it came to collecting and analyzing data on the FSIR. A lack of training programs in data collection and analysis for administrators was also noted in the findings.
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Date Issued: 2007
Identifier: CFE0001688, ucf:47204
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001688

Title: USING STUDENT MOOD AND TASK PERFORMANCE TO TRAIN CLASSIFIER ALGORITHMS TO SELECT EFFECTIVE COACHING STRATEGIES WITHIN INTELLIGENT TUTORING SYSTEMS (ITS).
Creator: Sottilare, Robert, Proctor, Michael, University of Central Florida
Abstract / Description: The ultimate goal of this research was to improve student performance by adjusting an Intelligent Tutoring System's (ITS) coaching strategy based on the student's mood. As a step toward this goal, this study evaluated the relationships between each student's mood variables (pleasure, arousal, dominance and mood intensity), the coaching strategy selected by the ITS and the student's performance. Outcomes included methods to increase the perception of the intelligent tutor to...
Show moreThe ultimate goal of this research was to improve student performance by adjusting an Intelligent Tutoring System's (ITS) coaching strategy based on the student's mood. As a step toward this goal, this study evaluated the relationships between each student's mood variables (pleasure, arousal, dominance and mood intensity), the coaching strategy selected by the ITS and the student's performance. Outcomes included methods to increase the perception of the intelligent tutor to allow it to adapt coaching strategies (methods of instruction) to the student's affective needs to mitigate barriers to performance (e.g. negative affect) during the one-to-one tutoring process. The study evaluated whether the affective state (specifically mood) of the student moderated the student's interaction with the tutor and influenced performance. This research examined the relationships, interactions and influences of student mood in the selection of ITS coaching strategies to determine which strategies were more effective in terms of student performance given the student's mood, state (recent sleep time, previous knowledge and training, and interest level) and actions (e.g. mouse movement rate). Two coaching strategies were used in this study: Student-Requested Feedback (SRF) and Tutor-Initiated Feedback (TIF). The SRF coaching strategy provided feedback in the form of hints, questions, direction and support only when the student requested help. The TIF coaching strategy provided feedback (hints, questions, direction or support) at key junctures in the learning process when the student either made progress or failed to make progress in a timely fashion. The relationships between the coaching strategies, mood, performance and other variables of interest were considered in light of five hypotheses. At alpha = .05 and beta at least as great as .80, significant effects were limited in predicting performance. Highlighted findings include no significant differences in the mean performance due to coaching strategies, and only small effect sizes in predicting performance making the regression models developed not of practical significance. However, several variables including performance, energy level and mouse movement rates were significant, unobtrusive predictors of mood. Regression algorithms were developed using Arbuckle's (2008) Analysis of MOment Structures (AMOS) tool to compare the predicted performance for each strategy and then to choose the optimal strategy. A set of production rules were also developed to train a machine learning classifier using Witten & Frank's (2005) Waikato Environment for Knowledge Analysis (WEKA) toolset. The classifier was tested to determine its ability to recognize critical relationships and adjust coaching strategies to improve performance. This study found that the ability of the intelligent tutor to recognize key affective relationships contributes to improved performance. Study assumptions include a normal distribution of student mood variables, student state variables and student action variables and the equal mean performance of the two coaching strategy groups (student-requested feedback and tutor-initiated feedback ). These assumptions were substantiated in the study. Potential applications of this research are broad since its approach is application independent and could be used within ill-defined or very complex domains where judgment might be influenced by affect (e.g. study of the law, decisions involving risk of injury or death, negotiations or investment decisions). Recommendations for future research include evaluation of the temporal, as well as numerical, relationships of student mood, performance, actions and state variables.
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Date Issued: 2009
Identifier: CFE0002528, ucf:47644
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002528

Title: Research on High-performance and Scalable Data Access in Parallel Big Data Computing.
Creator: Yin, Jiangling, Wang, Jun, Jin, Yier, Lin, Mingjie, Qi, GuoJun, Wang, Chung-Ching, University of Central Florida
Abstract / Description: To facilitate big data processing, many dedicated data-intensive storage systems such as Google File System(GFS), Hadoop Distributed File System(HDFS) and Quantcast File System(QFS) have been developed. Currently, the Hadoop Distributed File System(HDFS) [20] is the state-of-art and most popular open-source distributed file system for big data processing. It is widely deployed as the bedrock for many big data processing systems/frameworks, such as the script-based pig system, MPI-based...
Show moreTo facilitate big data processing, many dedicated data-intensive storage systems such as Google File System(GFS), Hadoop Distributed File System(HDFS) and Quantcast File System(QFS) have been developed. Currently, the Hadoop Distributed File System(HDFS) [20] is the state-of-art and most popular open-source distributed file system for big data processing. It is widely deployed as the bedrock for many big data processing systems/frameworks, such as the script-based pig system, MPI-based parallel programs, graph processing systems and scala/java-based Spark frameworks. These systems/applications employ parallel processes/executors to speed up data processing within scale-out clusters.Job or task schedulers in parallel big data applications such as mpiBLAST and ParaView can maximize the usage of computing resources such as memory and CPU by tracking resource consumption/availability for task assignment. However, since these schedulers do not take the distributed I/O resources and global data distribution into consideration, the data requests from parallel processes/executors in big data processing will unfortunately be served in an imbalanced fashion on the distributed storage servers. These imbalanced access patterns among storage nodes are caused because a). unlike conventional parallel file system using striping policies to evenly distribute data among storage nodes, data-intensive file systems such as HDFS store each data unit, referred to as chunk or block file, with several copies based on a relative random policy, which can result in an uneven data distribution among storage nodes; b). based on the data retrieval policy in HDFS, the more data a storage node contains, the higher the probability that the storage node could be selected to serve the data. Therefore, on the nodes serving multiple chunk files, the data requests from different processes/executors will compete for shared resources such as hard disk head and network bandwidth. Because of this, the makespan of the entire program could be significantly prolonged and the overall I/O performance will degrade.The first part of my dissertation seeks to address aspects of these problems by creating an I/O middleware system and designing matching-based algorithms to optimize data access in parallel big data processing. To address the problem of remote data movement, we develop an I/O middleware system, called SLAM, which allows MPI-based analysis and visualization programs to benefit from locality read, i.e, each MPI process can access its required data from a local or nearby storage node. This can greatly improve the execution performance by reducing the amount of data movement over network. Furthermore, to address the problem of imbalanced data access, we propose a method called Opass, which models the data read requests that are issued by parallel applications to cluster nodes as a graph data structure where edges weights encode the demands of load capacity. We then employ matching-based algorithms to map processes to data to achieve data access in a balanced fashion. The final part of my dissertation focuses on optimizing sub-dataset analyses in parallel big data processing. Our proposed methods can benefit different analysis applications with various computational requirements and the experiments on different cluster testbeds show their applicability and scalability.
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Date Issued: 2015
Identifier: CFE0006021, ucf:51008
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006021

Title: EXTRACTING QUANTITATIVE INFORMATIONFROM NONNUMERIC MARKETING DATA: AN AUGMENTEDLATENT SEMANTIC ANALYSIS APPROACH.
Creator: Arroniz, Inigo, Michaels, Ronald, University of Central Florida
Abstract / Description: Despite the widespread availability and importance of nonnumeric data, marketers do not have the tools to extract information from large amounts of nonnumeric data. This dissertation attempts to fill this void: I developed a scalable methodology that is capable of extracting information from extremely large volumes of nonnumeric data. The proposed methodology integrates concepts from information retrieval and content analysis to analyze textual information. This approach avoids a pervasive...
Show moreDespite the widespread availability and importance of nonnumeric data, marketers do not have the tools to extract information from large amounts of nonnumeric data. This dissertation attempts to fill this void: I developed a scalable methodology that is capable of extracting information from extremely large volumes of nonnumeric data. The proposed methodology integrates concepts from information retrieval and content analysis to analyze textual information. This approach avoids a pervasive difficulty of traditional content analysis, namely the classification of terms into predetermined categories, by creating a linear composite of all terms in the document and, then, weighting the terms according to their inferred meaning. In the proposed approach, meaning is inferred by the collocation of the term across all the texts in the corpus. It is assumed that there is a lower dimensional space of concepts that underlies word usage. The semantics of each word are inferred by identifying its various contexts in a document and across documents (i.e., in the corpus). After the semantic similarity space is inferred from the corpus, the words in each document are weighted to obtain their representation on the lower dimensional semantic similarity space, effectively mapping the terms to the concept space and ultimately creating a score that measures the concept of interest. I propose an empirical application of the outlined methodology. For this empirical illustration, I revisit an important marketing problem, the effect of movie critics on the performance of the movies. In the extant literature, researchers have used an overall numerical rating of the review to capture the content of the movie reviews. I contend that valuable information present in the textual materials remains uncovered. I use the proposed methodology to extract this information from the nonnumeric text contained in a movie review. The proposed setting is particularly attractive to validate the methodology because the setting allows for a simple test of the text-derived metrics by comparing them to the numeric ratings provided by the reviewers. I empirically show the application of this methodology and traditional computer-aided content analytic methods to study an important marketing topic, the effect of movie critics on movie performance. In the empirical application of the proposed methodology, I use two datasets that combined contain more than 9,000 movie reviews nested in more than 250 movies. I am restudying this marketing problem in the light of directly obtaining information from the reviews instead of following the usual practice of using an overall rating or a classification of the review as either positive or negative. I find that the addition of direct content and structure of the review adds a significant amount of exploratory power as a determinant of movie performance, even in the presence of actual reviewer overall ratings (stars) and other controls. This effect is robust across distinct opertaionalizations of both the review content and the movie performance metrics. In fact, my findings suggest that as we move from sales to profitability to financial return measures, the role of the content of the review, and therefore the critic's role, becomes increasingly important.
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Date Issued: 2007
Identifier: CFE0001617, ucf:47164
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001617

Title: POLICE ORGANIZATIONAL PERFORMANCE IN THE STATE OF FLORIDA:CONFIRMATORY ANALYSIS OF THE RELATIONSHIP OF THE ENVIRONMENT AND DESIGN STRUCTURE TO PERFORMANCE.
Creator: Goltz, Jeffrey, Wan, Thomas, University of Central Florida
Abstract / Description: To date, police organizations have not been rigorously analyzed by organizational scholars and most analysis of these organizations has been captured through a single construct. The purpose of this study is to develop confirmatory police organizational analysis by validating a multi-dimensional conceptual framework that explains the relationships among three constructs: environmental constraints, the design structures of police organizations, and organizational performance indicators. The...
Show moreTo date, police organizations have not been rigorously analyzed by organizational scholars and most analysis of these organizations has been captured through a single construct. The purpose of this study is to develop confirmatory police organizational analysis by validating a multi-dimensional conceptual framework that explains the relationships among three constructs: environmental constraints, the design structures of police organizations, and organizational performance indicators. The modeling is deeply rooted in contingency theory, and the influence of isomorphism and institutional theory on the covariance structure model are investigated. One hundred and thirteen local police organizations from the State of Florida are included in this non-experimental, cross-sectional study to determine the direct effect of the environmental constraints on the performance of police organizations, the indirect effect of environmental constraints on the performance of police organizations via the organizational design structure of police organizations, and the direct affect of organizational design structure on performance of police organizations. For the first time, structural equation modeling and data envelopment analysis are used together to confirm the effects of the environment on police organization structure and performance. The results indicate that environmental social economic disparity indicators have a large positive effect on police resources and a medium effect on police efficiency. Propensity of crime indicators has a large negative effect on police resources, and population density has a small to medium negative effect on crime clearance. Structure has a much smaller effect on performance than the environment. The results of the efficiency analysis revealed unexpected findings. Three of the top five largest police organizations in the study scored maximum efficiency. The cause of this unexpected result is explained and confirmed in the covariance model. The study methodology and results enhances the understanding of the relationship among the constructs while subjecting environmental and police organizational data to two comprehensive analytical techniques. The policy implications and practical contributions of the study provide new knowledge and information to organizational management of police organizations. Furthermore, the study establishes a new approach to police organizational analysis and police services management research called Police Services Management Research (PSMR) that encompasses a variety of disciplines with a primary responsibility of theory building and the selection of theoretical framework.
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Date Issued: 2006
Identifier: CFE0001363, ucf:47000
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001363

Title: A COMPARATIVE ANALYSIS OF COLLEGE STUDENT SPRING BREAK DESTINATIONS: AN EMPIRICAL STUDY OF TOURISM DESTINATION ATTRIBUTES.
Creator: Tang, Tricia, Choi, Youngsoo, University of Central Florida
Abstract / Description: The tourism industry has become one of the fastest growing sectors in the world's economy, contributing 9.1% of world GDP and more than 260 million jobs worldwide (World Travel & Tourism Council, 2011). The U.S college student market has emerged as major segment within this sector, generating approximately $15 billion on annual domestic and international travel. Among the various travel patterns of college students, they are most highly motivated for spring break travel, with more than two...
Show moreThe tourism industry has become one of the fastest growing sectors in the world's economy, contributing 9.1% of world GDP and more than 260 million jobs worldwide (World Travel & Tourism Council, 2011). The U.S college student market has emerged as major segment within this sector, generating approximately $15 billion on annual domestic and international travel. Among the various travel patterns of college students, they are most highly motivated for spring break travel, with more than two million students traveling per season (Bai et al., 2004; Borgerding, 2001; Reynolds, 2004). This research, through surveying college students majoring in hospitality and tourism management, analyzed the significance of college student perceptions of key spring break destination attributes. A total of 281 usable responses were subjected to the Principal Component Analysis that generated six dimensions: Breaking Away, Sun and Beach, Safety and Hygiene, Psychological Distance, Price and Value, and Social Exploration, comprised of 24 key attributes that influence a college spring breaker's destination selection decision. An Importance-Performance Analysis (Martilla & James, 1977) was conducted based on the respondents' assessment of attributes on five of the six dimensions. The results of the IPA allowed comparison of the top four most visited destinations identified by the respondents: Daytona Beach, South Beach Miami, Panama City Beach, and Clearwater Beach/ Tampa. The study findings may provide valuable implications for destination service providers to improve their destination's appeal in this highly competitive and lucrative market. Future research on college spring break groups located in different geographic locations within the country is highly encouraged to better understand the general characteristics of this market.
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Date Issued: 2012
Identifier: CFH0004193, ucf:44837
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004193

Title: Standing Up Comedy: Analyzing Rhetorical Approaches to Identity in Stand-up Comedy.
Creator: Grabert, Christopher, Holic, Nathan, Wheeler, Stephanie, Brenckle, Martha, University of Central Florida
Abstract / Description: My thesis addresses contemporary conversations about stand-up comedy and the art-form's capacity for facilitating complex rhetorical decision-making. I examine how stand-up comedians have positioned themselves on-stage through choices pertaining revealing personal behaviors, personas, and beliefs in public settings. Ultimately, I argue that the art of stand-up does not require truth-telling on-stage, and that there exists an implicit contract between performers and audiences which details...
Show moreMy thesis addresses contemporary conversations about stand-up comedy and the art-form's capacity for facilitating complex rhetorical decision-making. I examine how stand-up comedians have positioned themselves on-stage through choices pertaining revealing personal behaviors, personas, and beliefs in public settings. Ultimately, I argue that the art of stand-up does not require truth-telling on-stage, and that there exists an implicit contract between performers and audiences which details comedians' license to share falsehoods, exaggerations, and embellishments on-stage without the repercussions that accompany these actions in other discourse settings. Finally, I evaluate how comics have handled this rhetorical (")license,(") with some performers delivering easily identifiable falsehoods on stage through characters and caricatures, and others choosing to deliver autobiographical material in spite of the license. My research offers a framework through which audiences may digest the speech utterances in standup comedy performances as the product of purely rhetorical, calculated choices. I will propose that audiences treat each stand-up performance, no matter how seemingly intimate or personal, as artifice. I then offer case studies of three comedians who approach the notion of crafting anon-stage persona in different fashions and evaluate how each of these comedians utilize the implicit license of stand-up comedy. My research contributes to conversations in rhetoric and composition related to the performance of public and private (")selves.(")
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Date Issued: 2019
Identifier: CFE0007889, ucf:52773
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007889

Title: MY, CLAUDIUS: A CASE AGAINST THE KING AS VILLAIN.
Creator: Blackwelder, Kevin, Rusnock, Joseph, University of Central Florida
Abstract / Description: The role of Claudius in ShakespeareÃ‚Â's The Tragedy of Hamlet has traditionally been affixed with the label of villain, coupled with a presumption of malice. This prejudice has plagued the role, relegating it to shallow melodrama throughout the majority of the playÃ‚Â's 440 odd-year history. Although it has now become more commonplace to see him portrayed as a capable, intelligent, even initially likable king, this has only been the case for the...
Show moreThe role of Claudius in ShakespeareÃ‚Â's The Tragedy of Hamlet has traditionally been affixed with the label of villain, coupled with a presumption of malice. This prejudice has plagued the role, relegating it to shallow melodrama throughout the majority of the playÃ‚Â's 440 odd-year history. Although it has now become more commonplace to see him portrayed as a capable, intelligent, even initially likable king, this has only been the case for the past 50 years or so, and even so the label of villain and the assumption of malice persist and prevail even in contemporary practice. While the author is reluctant to insist on the benevolence of the King as imperative, they do contend that Claudius should not be portrayed as a villain. Doing so undermines the primary conflict - that of Hamlet vs. Claudius - cripples the possibilities for exploration of the King as a role, hinders the potential for HamletÃ‚Â's journey, and absolves the viewer of active engagement by playing directly into expectations. Within this thesis, consideration of historical analysis and editorial tradition are utilized in order to demonstrate a progressively encompassing disregard that has led to the roleÃ‚Â's neglect. An account of the 2006 University of Central Florida Conservatory Theatre production is used to validate the necessity of avoiding a villainous portrayal of the King. A brief description of the authorÃ‚Â's ideal Claudius explores the realm of possibility opened by such non-villainous portrayal, and potential for the roleÃ‚Â's complexity is examined through a thorough voice/text analysis and brief discussion of Jaques LecoqÃ‚Â's movement equilibrium theory via appendices.
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Date Issued: 2010
Identifier: CFE0003132, ucf:48648
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003132

Title: Disciplinary Mythologies: A Rhetorical-Cultural Analysis of Performance Enhancement Technologies in Sports.
Creator: Lamothe, John, Scott, Blake, Janz, Bruce, Campbell, James, Oliveira, Leonardo, University of Central Florida
Abstract / Description: In sports discourse, the relationship between athletics and technology is often paradoxical. On the one hand, modern sports rely on technology at every level, from training and tracking of players to the equipment and apparel used by athletes to the game strategies and playing fields themselves. Nearly all of these technologies are intended to increase athletic performance on some level. And yet, certain performance enhancement technologies can be criticized for being antithetical to the...
Show moreIn sports discourse, the relationship between athletics and technology is often paradoxical. On the one hand, modern sports rely on technology at every level, from training and tracking of players to the equipment and apparel used by athletes to the game strategies and playing fields themselves. Nearly all of these technologies are intended to increase athletic performance on some level. And yet, certain performance enhancement technologies can be criticized for being antithetical to the spirit of sports, which is framed as being a strictly natural and pure human endeavor. Using a rhetorical-cultural methodological approach, popular sports discourse is analyzed to investigate how arguments in contested spaces between sports and technologies get (re)negotiated and (re)articulated to fit within a sports social language that emphasizes (")pure(") and (")natural(") ideals of sport. This often results in a dichotomy where the sport/technology relationship is either black boxed, thus being subsumed in the sport social language and becoming transparent and the relationships unarticulated, or the technology is regulated out of the sport through rules and bans. The reason for this articulation is attributed in large part to the deep humanism embedded in the sport social language. How a shift to a posthuman perspective would effect sports discourse is explored. These conclusions about underlying values in sports discourse lead to the formation of a new theoretical framework called disciplinary mythologies. Building off of Foucault's disciplinary power, Scott's disciplinary rhetorics, and Barthe's mythologies, disciplinary mythologies are discrete units of persuasion that both construct and constitute claims by drawing upon layered narratives and shifting associations that lose their context when entering the realm of myth. Two specific disciplinary mythologies are discussed(-)the level-playing-field topos and the nostalgia enthymeme(-)and it is shown how sports discourse often draws upon them to shape arguments and actions.
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Date Issued: 2015
Identifier: CFE0005970, ucf:50773
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005970

Title: Uncertainty treatment in performance based seismic assessment of typical bridge classes in United States.
Creator: Mehdizadeh Nasrabadi, Mohammad, Mackie, Kevin, Catbas, Necati, Yun, Hae-Bum, Xanthopoulos, Petros, University of Central Florida
Abstract / Description: Bridge networks are expensive and complex infrastructures and are essential components of today's transportation systems. Despite the advancement in computer aided modeling and increasing the computational power which is increasing the accessibility for developing the fragility curves of bridges, the complexity of the problem and uncertainties involved in fragility analysis of the bridge structures in addition to difficulties in validating the results obtained from the analysis requires...
Show moreBridge networks are expensive and complex infrastructures and are essential components of today's transportation systems. Despite the advancement in computer aided modeling and increasing the computational power which is increasing the accessibility for developing the fragility curves of bridges, the complexity of the problem and uncertainties involved in fragility analysis of the bridge structures in addition to difficulties in validating the results obtained from the analysis requires precaution in utilization of the results as a decision making tool. The main focus of this research is to address, study and treatment of uncertainties incorporated in various steps of performance based assessments (PBA) of the bridge structures. In this research the uncertainties is divided into three main categories. First, the uncertainties that come from ground motions time and frequency content alteration because of scarcity of the recorded ground motions in the database. Second, uncertainties associated in the modeling and simulation procedure of PBA, and third uncertainties originated from simplistic approach and methods utilized in the conventional procedure of PBA of the structures. Legitimacy of the scaling of ground motions is studied using the response of several simple nonlinear systems to amplitude scaled ground motions suites. Bias in the response obtained compared to unscaled records for both as recorded and synthetic ground motions.Results from this section of the research show the amount of the bias is considerable and can significantly affect the outcome of PBA. The origin of the bias is investigated and consequently a new metric is proposed to predict the bias induced by ground motion scaling without nonlinear analysis. Results demonstrate that utilizing the predictor as a scaling parameter can significantly reduce the bias for various nonlinear structures. Therefore utilizing the new metric as the intensity measuring parameter of the ground motions is recommended in PBA. To address the uncertainties associated in the modeling and simulation, MSSS concrete girder bridge class were selected due to the frequency of the construction in USCS region and lack of seismic detailing. A large scale parameters screening study is performed using Placket-Burman experimental design that considers a more complete group of parameters to decrease the computational expense of probabilistic study of the structure's seismic response. Fragility analysis for MSSS bridge is performed and the effect of removing the lesser important parameters the probabilistic demand model was investigated. This study reveals parameters reduction based on screening study techniques can be utilized to increase efficiency in fragility analysis procedure without compromising the accuracy of the outcome. The results from this study also provides more direct information on parameter reduction for PBA as well as provide insight into where future investments into higher fidelity finite element and constitutive models should be targeted. Conventional simplistic PBA approach does not account for the fundamental correlation between demand and capacity models. A more comprehensive PBA approach is presented and fragility analysis is performed with implementation of a new formulation in the component fragility analysis for MSSS bridge class and the outcome is compared with the one from conventional procedure. The results shows the correlation between demand and capacity affects the outcome of PBA and the fragility functions variation is not negligible. Therefore using the presented approach is necessary when accuracy is needed.
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Date Issued: 2014
Identifier: CFE0005531, ucf:50309
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005531

Title: ESTABLISHING DEGRADATION RATES AND SERVICE LIFETIME OF PHOTOVOLTAIC SYSTEMS.
Creator: Leyte-Vidal, Albert, Hickman, James, University of Central Florida
Abstract / Description: As fossil fuel sources continue to diminish, oil prices continue to increase, and global warming and CO2 emissions keep impacting the environment, it has been necessary to shift energy consumption and generation to a different path. Solar energy has proven to be one of the most promising sources of renewable energy because it is environmentally friendly, available anywhere in the world, and cost competitive. For photovoltaic (PV) system engineers, designing a PV system is not an easy task....
Show moreAs fossil fuel sources continue to diminish, oil prices continue to increase, and global warming and CO2 emissions keep impacting the environment, it has been necessary to shift energy consumption and generation to a different path. Solar energy has proven to be one of the most promising sources of renewable energy because it is environmentally friendly, available anywhere in the world, and cost competitive. For photovoltaic (PV) system engineers, designing a PV system is not an easy task. Research demonstrates that different PV technologies behave differently under certain conditions; therefore energy production varies not only with capacity of the system but also with the type of module. For years, researchers have also studied how these different technologies perform for long periods of time, when exposed out in the field. In this study, data collected by the Florida Solar Energy Center for periods of over four years was analyzed using two techniques, widely accepted by researchers and industry, to evaluate the long‐term performance of five systems. The performance ratio analysis normalizes system capacity and enables the comparison of performance between multiple systems. In PVUSA Regression analysis, regression coefficients are calculated which correspond to the effect of irradiance, wind speed, and ambient temperature, and these coefficients are then used to calculate power at a predetermined set of conditions. This study allows manufacturers to address the difficulties found on system lifetime when their modules are installed out on the field. Also allows for the further development and improvement of the different PV technologies already commercially available.
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Date Issued: 2010
Identifier: CFE0003326, ucf:48483
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003326

Title: EVALUATING THE PERFORMANCE OF ANIMAL SHELTERS: AN APPLICATION OF DATA ENVELOPMENT ANALYSIS.
Creator: Heyde, Brandy, Reilly, Charles, University of Central Florida
Abstract / Description: The focus of this thesis is the application of data envelopment analysis to understand and evaluate the performance of diverse animal welfare organizations across the United States. The results include identification of the most efficient animal welfare organizations, at least among those that post statistics on their operations, and a discussion of various partnerships that may improve the performance of the more inefficient organizations. The Humane Society of the United States estimates...
Show moreThe focus of this thesis is the application of data envelopment analysis to understand and evaluate the performance of diverse animal welfare organizations across the United States. The results include identification of the most efficient animal welfare organizations, at least among those that post statistics on their operations, and a discussion of various partnerships that may improve the performance of the more inefficient organizations. The Humane Society of the United States estimates that there are 4000 - 6000 independently-run animal shelters across the United States, with an estimated 6-8 million companion animals entering them each year. Unfortunately, more than half of these animals are euthanized. The methods shared in this research illustrate how data envelopment analysis may help shelters improve these statistics through evaluation and cooperation. Data envelopment analysis (DEA) is based on the principle that the efficiency of an organization depends on its ability to transform its inputs into the desired outputs. The result of a DEA model is a single measure that summarizes the relative efficiency of each decision making unit (DMU) when compared with similar organizations. The DEA linear program defines an efficiency frontier with the most efficient animal shelters that are put into the model that "envelops" the other DMUs. Individual efficiency scores are calculated by determining how close each DMU is to reaching the frontier. The results shared in this research focus on the performance of 15 animal shelters. Lack of standardized data regarding individual animal shelter performance limited the ability to review a larger number of shelters and provide more robust results. Various programs are in place within the United States to improve the collection and availability of individual shelter performance. Specifically, the Asilomar Accords provide a strong framework for doing this and could significantly reduce euthanasia of companion animals if more shelters would adopt the practice of collecting and reporting their data in this format. It is demonstrated in this research that combining performance data with financial data within the data envelopment analysis technique can be powerful in helping shelters identify how to better deliver results. The addition of data from other organizations will make the results even more robust and useful for each shelter involved.
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Date Issued: 2008
Identifier: CFE0002101, ucf:47557
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002101

Title: An Agent Based Model to assess crew temporal variability during U.S. Navy shipboard operations.
Creator: Muhs, Kevin, Karwowski, Waldemar, Elshennawy, Ahmad, Hancock, Peter, Sjoden, Glenn, University of Central Florida
Abstract / Description: Understanding the factors that affect human performance variability as well as their temporal impacts is an essential element in fully integrating and designing complex, adaptive environments. This understanding is particularly necessary for high stakes, time-critical routines such as those performed during nuclear reactor, air traffic control, and military operations. Over the last three decades significant efforts have emerged to demonstrate and apply a host of techniques to include...
Show moreUnderstanding the factors that affect human performance variability as well as their temporal impacts is an essential element in fully integrating and designing complex, adaptive environments. This understanding is particularly necessary for high stakes, time-critical routines such as those performed during nuclear reactor, air traffic control, and military operations. Over the last three decades significant efforts have emerged to demonstrate and apply a host of techniques to include Discrete Event Simulation, Bayesian Belief Networks, Neural Networks, and a multitude of existing software applications to provide relevant assessments of human task performance and temporal variability. The objective of this research was to design and develop a novel Agent Based Modeling and Simulation (ABMS) methodology to generate a timeline of work and assess impacts of crew temporal variability during U.S. Navy Small Boat Defense operations in littoral waters.The developed ABMS methodology included human performance models for six crew members (agents) as well as a threat craft, and incorporated varying levels of crew capability and task support. AnyLogic ABMS software was used to simultaneously provide detailed measures of individual sailor performance and of system-level emergent behavior. This methodology and these models were adapted and built to assure extensibility across a broad range of U.S. Navy shipboard operations.Application of the developed ABMS methodology effectively demonstrated a way to visualize and quantify impacts/uncertainties of human temporal variability on both workload and crew effectiveness during U.S. Navy shipboard operations.
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Date Issued: 2018
Identifier: CFE0007592, ucf:52549
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007592

Title: A Framework of Critical Success Factors for Business Organizations that Lead to Performance Excellence Based on a Financial and Quality Systems Assessment.
Creator: Francisco, Melissa, Elshennawy, Ahmad, Karwowski, Waldemar, Rabelo, Luis, Xanthopoulos, Petros, Weheba, Gamal, University of Central Florida
Abstract / Description: One of the most important tasks that business leaders undertake in order to achieve a superior market position is strategic planning. Beyond this obligation, business owners desire to maximize profit and maintain steady growth. In order to do this, resources must be invested in the most efficient way possible in order to achieve performance excellence. Adjusting business operations quickly, however, especially in times of economic uncertainty, is extremely difficult. Business leaders...
Show moreOne of the most important tasks that business leaders undertake in order to achieve a superior market position is strategic planning. Beyond this obligation, business owners desire to maximize profit and maintain steady growth. In order to do this, resources must be invested in the most efficient way possible in order to achieve performance excellence. Adjusting business operations quickly, however, especially in times of economic uncertainty, is extremely difficult. Business leaders therefore need insight into which elements of organizational improvement are most effective in order to strategically invest their resources to achieve superior performance in the most efficient way possible.This research examines the results of companies which have a demonstrated ability to achieve performance excellence as defined by the National Institute of Standards and Technology's Malcolm Baldrige Criteria for Performance Excellence. This research examined award-winning applications to determine common input factors, compared the business results of a subset of those award-winners with the overall market for a time-frame of 11 years, and then investigated the profitability, liquidity, debt management, asset management, and per share performance ratios of award-winners compared with their industry peers over 11 years as well.The main focus of this research is to determine whether participation in performance excellence best practices have created value for shareholders and business owners. This objective is achieved through the analysis of performance results of award winning companies. This research demonstrates that the integration of efforts associated with performance excellence is in-fact advantageous.
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Date Issued: 2014
Identifier: CFE0005331, ucf:50503
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005331

Title: Development of Traffic Safety Zones and Integrating Macroscopic and Microscopic Safety Data Analytics for Novel Hot Zone Identification.
Creator: Lee, JaeYoung, Abdel-Aty, Mohamed, Radwan, Ahmed, Nam, Boo Hyun, Kuo, Pei-Fen, Choi, Keechoo, University of Central Florida
Abstract / Description: Traffic safety has been considered one of the most important issues in the transportation field. With consistent efforts of transportation engineers, Federal, State and local government officials, both fatalities and fatality rates from road traffic crashes in the United States have steadily declined from 2006 to 2011.Nevertheless, fatalities from traffic crashes slightly increased in 2012 (NHTSA, 2013). We lost 33,561 lives from road traffic crashes in the year 2012, and the road traffic...
Show moreTraffic safety has been considered one of the most important issues in the transportation field. With consistent efforts of transportation engineers, Federal, State and local government officials, both fatalities and fatality rates from road traffic crashes in the United States have steadily declined from 2006 to 2011.Nevertheless, fatalities from traffic crashes slightly increased in 2012 (NHTSA, 2013). We lost 33,561 lives from road traffic crashes in the year 2012, and the road traffic crashes are still one of the leading causes of deaths, according to the Centers for Disease Control and Prevention (CDC). In recent years, efforts to incorporate traffic safety into transportation planning has been made, which is termed as transportation safety planning (TSP). The Safe, Affordable, Flexible Efficient, Transportation Equity Act (-) A Legacy for Users (SAFETEA-LU), which is compliant with the United States Code, compels the United States Department of Transportation to consider traffic safety in the long-term transportation planning process. Although considerable macro-level studies have been conducted to facilitate the implementation of TSP, still there are critical limitations in macroscopic safety studies are required to be investigated and remedied. First, TAZ (Traffic Analysis Zone), which is most widely used in travel demand forecasting, has crucial shortcomings for macro-level safety modeling. Moreover, macro-level safety models have accuracy problem. The low prediction power of the model may be caused by crashes that occur near the boundaries of zones, high-level aggregation, and neglecting spatial autocorrelation.In this dissertation, several methodologies are proposed to alleviate these limitations in the macro-level safety research. TSAZ (Traffic Safety Analysis Zone) is developed as a new zonal system for the macroscopic safety analysis and nested structured modeling method is suggested to improve the model performance. Also, a multivariate statistical modeling method for multiple crash types is proposed in this dissertation. Besides, a novel screening methodology for integrating two levels is suggested. The integrated screening method is suggested to overcome shortcomings of zonal-level screening, since the zonal-level screening cannot take specific sites with high risks into consideration. It is expected that the integrated screening approach can provide a comprehensive perspective by balancing two aspects: macroscopic and microscopic approaches.
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Date Issued: 2014
Identifier: CFE0005195, ucf:50653
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005195

Performance (3)	+ -
performance (3)	+ -
Analysis (2)	+ -
Content Analysis (2)	+ -
Data Envelopment Analysis (DEA) (2)	+ -

Meta-analysis (2)	+ -
rhetorical analysis (2)	+ -
Adaptable Computer Architecture (1)	+ -
Affect (1)	+ -
Anxiety (1)	+ -
Application Specific Integrated Circuit (ASIC) (1)	+ -
Application Vulnerability Characterization (1)	+ -
Asset Pricing (1)	+ -
Bayesian inference (1)	+ -
Bias Temperature Instability (BTI) (1)	+ -
Bridge (1)	+ -
Business Success (1)	+ -
Cheerleading (1)	+ -
Claudius (1)	+ -
Common Mode Failure (CMF) (1)	+ -
Compiler Optimizations (1)	+ -
Coordinate Transformation (1)	+ -
Customer Focus (1)	+ -
DC-AC Inverters (1)	+ -
DEA (1)	+ -
Design Diversity (1)	+ -
Design Guardband (1)	+ -
Design of experiment (1)	+ -
Digital Circuit (1)	+ -
Distributed Applications (1)	+ -

ETD Collection (24)	+ -
Honors Collection (2)	+ -

University of Central Florida (26)	+ -
Elshennawy, Ahmad (3)	+ -
Karwowski, Waldemar (3)	+ -
Hahs-Vaughn, Debbie (2)	+ -
Hancock, Peter (2)	+ -

Lin, Mingjie (2)	+ -
Wan, Thomas (2)	+ -
Wang, Jun (2)	+ -
Xanthopoulos, Petros (2)	+ -
Abdel-Aty, Mohamed (1)	+ -
Allaf, Mamoon (1)	+ -
Arroniz, Inigo (1)	+ -
Ashraf, Rizwan (1)	+ -
Baker, Paul (1)	+ -
Baldwin, Gordon (1)	+ -
Barsade, Sigal (1)	+ -
Blackwelder, Kevin (1)	+ -
Brenckle, Martha (1)	+ -
Campbell, James (1)	+ -
Catbas, Necati (1)	+ -
Chen, Honghui (1)	+ -
Chicurel, Steven (1)	+ -
Choi, Keechoo (1)	+ -
Choi, Youngsoo (1)	+ -
DeMara, Ronald (1)	+ -
Endsley, Anita (1)	+ -
Francisco, Melissa (1)	+ -
Fritzsche, Barbara (1)	+ -
Frye, Melissa (1)	+ -
Gaught, William (1)	+ -

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