View All Items

Title: DEVELOPMENTAL TRAJECTORY OF AGGRESSIVE BEHAVIOR IN CLINICALLY REFERRED BOYS: A RASCH ANALYSIS.
Creator: LaFond, Scott, Rapport, Mark, University of Central Florida
Abstract / Description: A majority of research investigating aggression and its development in children has relied upon the use of rating scales such as the Child Behavior Checklist (CBCL). These scales are typically developed using a conventional factor analytic approach for the selection and retention of scale items, but may not contain sufficient numbers of items to adequately assess the unidimensional construct or developmental trajectory of aggressive behavior in youths. The present study evaluates specific...
Show moreA majority of research investigating aggression and its development in children has relied upon the use of rating scales such as the Child Behavior Checklist (CBCL). These scales are typically developed using a conventional factor analytic approach for the selection and retention of scale items, but may not contain sufficient numbers of items to adequately assess the unidimensional construct or developmental trajectory of aggressive behavior in youths. The present study evaluates specific psychometric properties of CBCL Aggressive and Delinquency Problems clinical syndrome scale items to determine the degree to which they reflect the breadth and established developmental trajectory of aggressive behavior in youth.
Show less
Date Issued: 2008
Identifier: CFE0002487, ucf:47683
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002487

Title: ESTIMATING DIET AND FOOD SELECTIVITY OF THE LOWER KEYS MARSH RABBIT USING STABLE ISOTOPE ANALYSIS.
Creator: Gordon, Matthew, Hoffman, Eric, University of Central Florida
Abstract / Description: Understanding the effect of food abundance on feeding behavior can benefit conservation efforts in many ways, such as to determine whether impacted environments need food supplementation, whether different locations of threatened species contain different food abundances, or whether reintroduction sites are missing key components of a species' diet. I studied the relationship between feeding behavior and food abundance in the Lower Keys marsh rabbit (Sylvilagus palustris hefneri), an...
Show moreUnderstanding the effect of food abundance on feeding behavior can benefit conservation efforts in many ways, such as to determine whether impacted environments need food supplementation, whether different locations of threatened species contain different food abundances, or whether reintroduction sites are missing key components of a species' diet. I studied the relationship between feeding behavior and food abundance in the Lower Keys marsh rabbit (Sylvilagus palustris hefneri), an endangered subspecies endemic to the lower Florida Keys. Specifically, my study set out to measure the relative abundance of the primary plants within the natural habitat of the Lower Keys marsh rabbit and estimate the proportion of each of these plants within the rabbit's diet. With this information, I tested the following hypotheses: first, the Lower Keys marsh rabbit selectively feeds on specific plants; second, that diet does not differ among sites; and third, that diet is not affected by food abundance. Using stable isotope analysis, I determined that two plants were prominent in the rabbit's diet: a shrub, Borrichia frutescens, and a grass, Spartina spartinae. These two species were prominent in the rabbit's diet in most patches, even where they were relatively rare, suggesting the rabbits are indeed selectively feeding on these species. In addition, although diet did differ among patches, selective feeding was apparent in all cases. Overall, this study determined that certain food types are important food sources for the federally endangered Lower Keys marsh rabbit and that these rabbits do not feed on plants based on plant abundance. This knowledge can be directly applied to reintroduction and restoration efforts for the Lower Keys marsh rabbit. More generally, the methods used in this study can be applied to other species of concern in order to address questions associated with diet requirements and foraging behavior.
Show less
Date Issued: 2010
Identifier: CFE0003471, ucf:48952
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003471

Title: Examination of Attitude-Behavior Discrepancy in Familism and its Relation to Symptoms of Depression among Latinos.
Creator: Nicasio, Andel, Cassisi, Jeffrey, Negy, Charles, Jentsch, Florian, University of Central Florida
Abstract / Description: This research examines the discrepancy between attitudinal and behavioral familism and its relation to depressive symptoms. The overarching hypothesis was that discrepancy between family values and the actual experiences of those values influences psychological health. Previous research has primarily focused on self-report measures of familial attitudes, and not whether these values are actually experienced by the individual. To address this gap in the literature, this study developed a new...
Show moreThis research examines the discrepancy between attitudinal and behavioral familism and its relation to depressive symptoms. The overarching hypothesis was that discrepancy between family values and the actual experiences of those values influences psychological health. Previous research has primarily focused on self-report measures of familial attitudes, and not whether these values are actually experienced by the individual. To address this gap in the literature, this study developed a new behavioral familism scale. A total of 431 Latinos and non-Latino Whites from a large university in Florida participated in this study. Overall, the new behavioral familism scale demonstrated good psychometric properties. Test-retest reliability was established with a sample of 109 participants who completed the measures twice, two weeks apart. Test-retest reliability was high (r = .85) and excellent (ICC = .92) for the total composite score. The internal consistency was examined with a sample of 323 participants. Results showed good internal consistency for the total composite score (Cronbach Alpha = .85). The convergent validity was evaluated with another measure of familism, as well as measures of perceived social support and family environment. Correlation analyses indicated significant positive relationships with all related measures in the expected direction. The divergent validity was evaluated with measures of social desirability and acculturation. Correlation analyses indicated non-significant and low relationships with both measures as expected. Polynomial regression and response surface analyses demonstrated that discrepancy between attitudinal and behavioral familism scores predicted symptoms of depression in a sample of 118 Latinos. Specifically, this study found that depressive symptoms increased as the discrepancy between the total composite scores of attitudinal and behavioral familism increased in either direction. Furthermore, the discrepancy in the family interconnectedness subscale indicated that symptoms of depression increased when attitudinal family interconnectedness was higher than behavioral family interconnectedness, but not when the relationship was reversed. Discrepancies between attitudinal and behavioral familism total composite scores and subscales did not predict symptoms of anxiety. These findings highlight the importance of understanding the role that culturally specific variables, such as familism, play in the psychological health of Latinos.
Show less
Date Issued: 2016
Identifier: CFE0006484, ucf:51438
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006484

Title: THE EFFECTS OF THE ATTAINMENT OF FUNCTIONAL ASSESSMENT SKILLS BY PRESCHOOL TEACHERS AND THEIR ASSISTANTS ON STUDENTS' CLASSROOM BEHAVIOR.
Creator: Wagner, Karen, Cross, Lee, University of Central Florida
Abstract / Description: The purpose of this study was to examine the effects of teaching functional assessment skills to three Prekindergarten teachers and their teaching assistants. The effects were measured by examining the behavior of the teachers and assistants, as well as the behaviors of the students; before, during and after the delivery of three, two-hour functional assessment classes. The teaching staff videotaped themselves and their students during a regular class time, predetermined by the researcher and...
Show moreThe purpose of this study was to examine the effects of teaching functional assessment skills to three Prekindergarten teachers and their teaching assistants. The effects were measured by examining the behavior of the teachers and assistants, as well as the behaviors of the students; before, during and after the delivery of three, two-hour functional assessment classes. The teaching staff videotaped themselves and their students during a regular class time, predetermined by the researcher and each teacher prior to the onset of baseline data collection, over an approximate nine-week period. The video was taken in twelve-minute segments every day. Later, the video was coded for specific behaviors. Although there were gains in appropriate intervention strategies from teachers and assistants during the intervention phase, the interventions generally peaked a week or two after the classes ended and gradually declined. Teacher skills were retained however, as most ratios of appropriate interventions maintained at higher rates than baseline. Relationships between student behavior and correct teacher interventions were established and maintained. The intervention resulted in changes in staff behavior, but results did not sustain at high levels over time. The realization that escape maintained some student behavior, and teaching skills to "test" for function, were likely the most important concepts for many of the participants. Further research should include adding a behavior coach to assist in shaping the teaching staffs' emerging skills and to provide a sounding board when developing specific student interventions.
Show less
Date Issued: 2008
Identifier: CFE0002088, ucf:47575
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002088

Title: AN INVESTIGATION OF THE FACTORS RELATED TO DIRECT CARE STAFFS' KNOWLEDGE OF EFFECTIVE INSTRUCTIONAL STRATEGIES FOR PEOPLE WITH DEVELOPMENTAL DISABILITIES.
Creator: Cook, Craig, Martin, Lawrence, University of Central Florida
Abstract / Description: The Medicaid Home and Community Based Services Waiver (HCBS) funds services for people with developmental disabilities in community based group homes. The purpose of the Medicaid HCBS Waiver is to: (1) support alternatives to institutions, (2) promote independence, (3) maximize functioning, and (4) support community integration. Direct care staff members have primary, day to day contact with people with developmental disabilities living in group home settings. Residential agencies for people...
Show moreThe Medicaid Home and Community Based Services Waiver (HCBS) funds services for people with developmental disabilities in community based group homes. The purpose of the Medicaid HCBS Waiver is to: (1) support alternatives to institutions, (2) promote independence, (3) maximize functioning, and (4) support community integration. Direct care staff members have primary, day to day contact with people with developmental disabilities living in group home settings. Residential agencies for people with developmental disabilities have the responsibility to train direct care staff in the use of effective teaching strategies in order to realize the purpose of the Medicaid HCBS waiver. Direct care staff's knowledge of effective teaching strategies will afford people with mental retardation an opportunity for greater independence and help them achieve their maximum potential within the community. This study set out to evaluate what factors were related to direct care staff members' knowledge of effective teaching strategies. The factors investigated include agencies use of evidence based staff training practices, feedback as a performance management strategy, and Certified Behavior Analysts involvement with the training and support of direct care staff. A random sample of 294 direct care staff members who work in 55 different group homes throughout the State of Florida participated in the study. Direct care staff members' average score on the knowledge of effective teaching strategies quiz was 23.31 out of 50 questions. The maximum score achieved was 43. These findings indicated that the direct care staff members generally did not demonstrate knowledge of effective teaching strategies. The findings of this investigation demonstrated a statistically significant positive relationship between direct care staff members who received empirically derived staff training and knowledge of effective teaching strategies. Additionally, the investigation found a statistically significant positive relationship between the behavior analyst involvement and direct care staff members' knowledge about how to teach. The investigation failed to identify a statistically significant relationship between performance feedback and knowledge about how to teach. This research is important to policy formulation as it relates to the efficient and effective delivery of supports for people with developmental disabilities.
Show less
Date Issued: 2009
Identifier: CFE0002832, ucf:48077
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002832

Title: Human Group Behavior Modeling for Virtual Worlds.
Creator: Shah, Syed Fahad Allam, Sukthankar, Gita, Georgiopoulos, Michael, Foroosh, Hassan, Anagnostopoulos, Georgios, University of Central Florida
Abstract / Description: Virtual worlds and massively-multiplayer online games are rich sources of information about large-scale teams and groups, offering the tantalizing possibility of harvesting data about group formation, social networks, and network evolution. They provide new outlets for human social interaction that differ from both face-to-face interactions and non-physically-embodied social networking tools such as Facebook and Twitter. We aim to study group dynamics in these virtual worlds by collecting and...
Show moreVirtual worlds and massively-multiplayer online games are rich sources of information about large-scale teams and groups, offering the tantalizing possibility of harvesting data about group formation, social networks, and network evolution. They provide new outlets for human social interaction that differ from both face-to-face interactions and non-physically-embodied social networking tools such as Facebook and Twitter. We aim to study group dynamics in these virtual worlds by collecting and analyzing public conversational patterns of users grouped in close physical proximity. To do this, we created a set of tools for monitoring, partitioning, and analyzing unstructured conversations between changing groups of participants in Second Life, a massively multi-player online user-constructed environment that allows users to construct and inhabit their own 3D world. Although there are some cues in the dialog, determining social interactions from unstructured chat data alone is a difficult problem, since these environments lack many of the cues that facilitate natural language processing in other conversational settings and different types of social media. Public chat data often features players who speak simultaneously, use jargon and emoticons, and only erratically adhere to conversational norms.Humans are adept social animals capable of identifying friendship groups from a combination of linguistic cues and social network patterns. But what is more important, the content of what people say or their history of social interactions? Moreover, is it possible to identify whether people are part of a group with changing membership merely from general network properties, such as measures of centrality and latent communities? These are the questions that we aim to answer in this thesis. The contributions of this thesis include: 1) a link prediction algorithm for identifying friendship relationships from unstructured chat data 2) a method for identifying social groups based on the results of community detection and topic analysis.The output of these two algorithms (links and group membership) are useful for studying a variety of research questions about human behavior in virtual worlds. To demonstrate this we have performed a longitudinal analysis of human groups in different regions of the Second Life virtual world. We believe that studies performed with our tools in virtual worlds will be a useful stepping stone toward creating a rich computational model of human group dynamics.
Show less
Date Issued: 2011
Identifier: CFE0004164, ucf:49074
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004164

Title: DOMESTIC PARENT-CHILD INTERACTION PROBLEMS AND WORKING MEMORY: THE MEDIATING ROLE OF INATTENTIVE ADHD SYMPTOMS.
Creator: Mohan, Svetha, Rapport, Mark, University of Central Florida
Abstract / Description: The intent of this thesis is to explore the mediating effects of ADHD Inattentive symptoms on domestic parent-child interaction problems and working memory. Inattentive symptoms in children with ADHD are known to cause forgetfulness, slow processing speed, and negative parent-child interactions. Working memory deficits in phonological short term memory and the central executive are also well-established in children with ADHD. However, it is currently unknown to what extent inattentive...
Show moreThe intent of this thesis is to explore the mediating effects of ADHD Inattentive symptoms on domestic parent-child interaction problems and working memory. Inattentive symptoms in children with ADHD are known to cause forgetfulness, slow processing speed, and negative parent-child interactions. Working memory deficits in phonological short term memory and the central executive are also well-established in children with ADHD. However, it is currently unknown to what extent inattentive symptoms are responsible for home behavior problems in conjunction with phonological working memory deficits. The aims are tested using two validated, common clinical questionnaires: The Teacher Report Form and the Home Situations Questionnaire. Additionally, working memory and executive function are tested using a phonological letter-number sequencing task and a visuospatial dot-in-the-box task. Results show that inattentive symptoms mediate the relationship between working memory and parent-child interaction problems. Teacher reports of inattention affect the degree to which the child experiences behavior problems at home, and also affects the phonological working memory system implicated in this behavior. Future directions include using a more diverse sample, investigating a wider range of ADHD symptoms, investigating effects across multiple settings, and exploring possibilities of additional executive functioning mediators.
Show less
Date Issued: 2017
Identifier: CFH2000161, ucf:45976
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH2000161

Title: Holistic Representations for Activities and Crowd Behaviors.
Creator: Solmaz, Berkan, Shah, Mubarak, Da Vitoria Lobo, Niels, Jha, Sumit, Ilie, Marcel, Moore, Brian, University of Central Florida
Abstract / Description: In this dissertation, we address the problem of analyzing the activities of people in a variety of scenarios, this is commonly encountered in vision applications. The overarching goal is to devise new representations for the activities, in settings where individuals or a number of people may take a part in specific activities. Different types of activities can be performed by either an individual at the fine level or by several people constituting a crowd at the coarse level. We take into...
Show moreIn this dissertation, we address the problem of analyzing the activities of people in a variety of scenarios, this is commonly encountered in vision applications. The overarching goal is to devise new representations for the activities, in settings where individuals or a number of people may take a part in specific activities. Different types of activities can be performed by either an individual at the fine level or by several people constituting a crowd at the coarse level. We take into account the domain specific information for modeling these activities. The summary of the proposed solutions is presented in the following.The holistic description of videos is appealing for visual detection and classification tasks for several reasons including capturing the spatial relations between the scene components, simplicity, and performance [1, 2, 3]. First, we present a holistic (global) frequency spectrum based descriptor for representing the atomic actions performed by individuals such as: bench pressing, diving, hand waving, boxing, playing guitar, mixing, jumping, horse riding, hula hooping etc. We model and learn these individual actions for classifying complex user uploaded videos. Our method bypasses the detection of interest points, the extraction of local video descriptors and the quantization of local descriptors into a code book; it represents each video sequence as a single feature vector. This holistic feature vector is computed by applying a bank of 3-D spatio-temporal filters on the frequency spectrum of a video sequence; hence it integrates the information about the motion and scene structure. We tested our approach on two of the most challenging datasets, UCF50 [4] and HMDB51 [5], and obtained promising results which demonstrates the robustness and the discriminative power of our holistic video descriptor for classifying videos of various realistic actions.In the above approach, a holistic feature vector of a video clip is acquired by dividing the video into spatio-temporal blocks then concatenating the features of the individual blocks together. However, such a holistic representation blindly incorporates all the video regions regardless of their contribution in classification. Next, we present an approach which improves the performance of the holistic descriptors for activity recognition. In our novel method, we improve the holistic descriptors by discovering the discriminative video blocks. We measure the discriminativity of a block by examining its response to a pre-learned support vector machine model. In particular, a block is considered discriminative if it responds positively for positive training samples, and negatively for negative training samples. We pose the problem of finding the optimal blocks as a problem of selecting a sparse set of blocks, which maximizes the total classifier discriminativity. Through a detailed set of experiments on benchmark datasets [6, 7, 8, 9, 5, 10], we show that our method discovers the useful regions in the videos and eliminates the ones which are confusing for classification, which results in significant performance improvement over the state-of-the-art.In contrast to the scenes where an individual performs a primitive action, there may be scenes with several people, where crowd behaviors may take place. For these types of scenes the traditional approaches for recognition will not work due to severe occlusion and computational requirements. The number of videos is limited and the scenes are complicated, hence learning these behaviors is not feasible. For this problem, we present a novel approach, based on the optical flow in a video sequence, for identifying five specific and common crowd behaviors in visual scenes. In the algorithm, the scene is overlaid by a grid of particles, initializing a dynamical system which is derived from the optical flow. Numerical integration of the optical flow provides particle trajectories that represent the motion in the scene. Linearization of the dynamical system allows a simple and practical analysis and classification of the behavior through the Jacobian matrix. Essentially, the eigenvalues of this matrix are used to determine the dynamic stability of points in the flow and each type of stability corresponds to one of the five crowd behaviors. The identified crowd behaviors are (1) bottlenecks: where many pedestrians/vehicles from various points in the scene are entering through one narrow passage, (2) fountainheads: where many pedestrians/vehicles are emerging from a narrow passage only to separate in many directions, (3) lanes: where many pedestrians/vehicles are moving at the same speeds in the same direction, (4) arches or rings: where the collective motion is curved or circular, and (5) blocking: where there is a opposing motion and desired movement of groups of pedestrians is somehow prohibited. The implementation requires identifying a region of interest in the scene, and checking the eigenvalues of the Jacobian matrix in that region to determine the type of flow, that corresponds to various well-defined crowd behaviors. The eigenvalues are only considered in these regions of interest, consistent with the linear approximation and the implied behaviors. Since changes in eigenvalues can mean changes in stability, corresponding to changes in behavior, we can repeat the algorithm over clips of long video sequences to locate changes in behavior. This method was tested on over real videos representing crowd and traffic scenes.
Show less
Date Issued: 2013
Identifier: CFE0004941, ucf:49638
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004941

Title: Detecting Semantic Method Clones in Java Code using Method IOE-Behavior.
Creator: Elva, Rochelle, Leavens, Gary, Johnson, Mark, Orooji, Ali, Hughes, Charles, University of Central Florida
Abstract / Description: The determination of semantic equivalence is an undecidable problem; however, this dissertation shows that a reasonable approximation can be obtained using a combination of static and dynamic analysis. This study investigates the detection of functional duplicates, referred to as semantic method clones (SMCs), in Java code. My algorithm extends the input-output notion of observable behavior, used in related work [1, 2], to include the effects of the method. The latter property refers to the...
Show moreThe determination of semantic equivalence is an undecidable problem; however, this dissertation shows that a reasonable approximation can be obtained using a combination of static and dynamic analysis. This study investigates the detection of functional duplicates, referred to as semantic method clones (SMCs), in Java code. My algorithm extends the input-output notion of observable behavior, used in related work [1, 2], to include the effects of the method. The latter property refers to the persistent changes to the heap, brought about by the execution of the method. To differentiate this from the typical input-output behavior used by other researchers, I have coined the term method IOE-Behavior; which means its input-output and effects behavior [3]. Two methods are defined as semantic method clones, if they have identical IOE-Behavior; that is, for the same inputs (actual parameters and initial heap state), they produce the same output (that is result- for non-void methods, and final heap state).The detection process consists of two static pre-filters used to identify candidate clone sets. This is followed by dynamic tests that actually run the candidate methods, to determine semantic equivalence. The first filter groups the methods by type. The second filter refines the output of the first, grouping methods by their effects. This algorithm is implemented in my tool JSCTracker, used to automate the SMC detection process. The algorithm and tool are validated using a case study comprising of 12 open source Java projects, from different application domains and ranging in size from 2 KLOC (thousand lines of code) to 300 KLOC. The objectives of the case study are posed as 4 research questions:1. Can method IOE-Behavior be used in SMC detection?2. What is the impact of the use of the pre-filters on the efficiency of the algorithm?3. How does the performance of method IOE-Behavior compare to using only input-output for identifying SMCs?4. How reliable are the results obtained when method IOE-Behavior is used in SMC detection? Responses to these questions are obtained by checking each software sample with JSCTracker and analyzing the results.The number of SMCs detected range from 0 45 with an average execution time of 8.5 seconds. The use of the two pre-filters reduces the number of methods that reach the dynamic test phase, by an average of 34%. The IOE-Behavior approach takes an average of 0.010 seconds per method while the input-output approach takes an average of 0.015 seconds. The former also identifies an average of 32% false positives, while the SMCs identified using input-output, have an average of 92% false positives. In terms of reliability, the IOE-Behavior method produces results with precision values of an average of 68% and recall value of 76% on average.These reliability values represent an improvement of over 37% (for precision) of the values in related work [4]. Thus, it is my conclusion that IOE-Behavior can be used to detect SMCs in Java code with reasonable reliability.
Show less
Date Issued: 2013
Identifier: CFE0004835, ucf:49689
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004835

Title: INELASTIC DYNAMIC BEHAVIOR AND DESIGN OF HYBRID COUPLED WALL SYSTEMS.
Creator: Hassan, Mohamed Ali, El-Tawil, Sherif, University of Central Florida
Abstract / Description: A key consideration in seismic design of buildings is to ensure that the lateral load resisting system has an appropriate combination of strength, stiffness and energy dissipation capacity. Hybrid coupled wall systems, in which steel beams are used to couple two or more reinforced concrete shear walls in series, can be designed to have these attributes and therefore have the potential to deliver good performance under severe seismic loading. This research presents an investigation of the...
Show moreA key consideration in seismic design of buildings is to ensure that the lateral load resisting system has an appropriate combination of strength, stiffness and energy dissipation capacity. Hybrid coupled wall systems, in which steel beams are used to couple two or more reinforced concrete shear walls in series, can be designed to have these attributes and therefore have the potential to deliver good performance under severe seismic loading. This research presents an investigation of the seismic behavior of this type of structural system. System response of 12- and 18-story high prototypes is studied using transient finite element analyses that accounts for the most important aspects of material nonlinear behavior including concrete cracking, tension stiffening, and compressive behavior for both confined and unconfined concrete as well as steel yielding. The developed finite element models are calibrated using more detailed models developed in previous research and are validated through numerous comparisons with test results of reinforced concrete walls and wall-beam subassemblages. Suites of transient inelastic analyses are conducted to investigate pertinent parameters including hazard level, earthquake record scaling, dynamic base shear magnification, interstory drift, shear distortion, coupling beam plastic rotation, and wall rotation. Different performance measures are proposed to judge and compare the behavior of the various systems. The analyses show that, in general, hybrid coupled walls are particularly well suited for use in regions of high seismic risk. The results of the dynamic analyses are used to judge the validity of and to refine a previously proposed design method based on the capacity design concept and the assumption of behavior dominated by the first vibration mode. The adequacy of design based on the pushover analysis procedure as promoted in FEMA-356 (2000) is also investigated using the dynamic analysis results. Substantial discrepancies between both methods are observed, especially in the case of the 18-story system. A critical assessment of dynamic base shear magnification is also conducted, and a new method for estimating its effects is suggested. The method is based on a modal combination procedure that accounts for presence of a plastic hinge at the wall base. Finally, the validity of limitations in FEMA-368 (2000) on building height, particularly for hybrid coupled wall systems, is discussed.
Show less
Date Issued: 2004
Identifier: CFE0000047, ucf:46086
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000047

Title: Data-Driven Modeling and Optimization of Building Energy Consumption.
Creator: Grover, Divas, Pourmohammadi Fallah, Yaser, Vosoughi, Azadeh, Zhou, Qun, University of Central Florida
Abstract / Description: Sustainability and reducing energy consumption are targets for building operations. The installation of smart sensors and Building Automation Systems (BAS) makes it possible to study facility operations under different circumstances. These technologies generate large amounts of data. That data can be scrapped and used for the analysis. In this thesis, we focus on the process of data-driven modeling and decision making from scraping the data to simulate the building and optimizing the...
Show moreSustainability and reducing energy consumption are targets for building operations. The installation of smart sensors and Building Automation Systems (BAS) makes it possible to study facility operations under different circumstances. These technologies generate large amounts of data. That data can be scrapped and used for the analysis. In this thesis, we focus on the process of data-driven modeling and decision making from scraping the data to simulate the building and optimizing the operation. The City of Orlando has similar goals of sustainability and reduction of energy consumption so, they provided us access to their BAS for the data and study the operation of its facilities. The data scraped from the City's BAS serves can be used to develop statistical/machine learning methods for decision making. We selected a mid-size pilot building to apply these techniques. The process begins with the collection of data from BAS. An Application Programming Interface (API) is developed to login to the servers and scrape data for all data points and store it on the local machine. Then data is cleaned to analyze and model. The dataset contains various data points ranging from indoor and outdoor temperature to fan speed inside the Air Handling Unit (AHU) which are operated by Variable Frequency Drive (VFD). This whole dataset is a time series and is handled accordingly. The cleaned dataset is analyzed to find different patterns and investigate relations between different data points. The analysis helps us in choosing parameters for models that are developed in the next step. Different statistical models are developed to simulate building and equipment behavior. Finally, the models along with the data are used to optimize the building Operation with the equipment constraints to make decisions for building operation which leads to a reduction in energy consumption while maintaining temperature and pressure inside the building.
Show less
Date Issued: 2019
Identifier: CFE0007810, ucf:52335
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007810

Title: Using Bug in Ear Feedback to Increase the Accuracy of Discrete Trial Teaching Implementation.
Creator: McKinney, Tracy, Vasquez, Eleazar, Dieker, Lisa, Martin, Suzanne, Rock, Marcia, University of Central Florida
Abstract / Description: Many professionals have successfully implemented discrete trial teaching in the past. However, there have not been extensive studies examining the accuracy of discrete trial teaching implementation. This study investigated the use of Bug in Ear feedback on the accuracy of discrete trial teaching implementation among two pre-service teachers majoring in elementary education and one pre-service teacher majoring in exceptional education. An adult confederate was used to receive discrete trial...
Show moreMany professionals have successfully implemented discrete trial teaching in the past. However, there have not been extensive studies examining the accuracy of discrete trial teaching implementation. This study investigated the use of Bug in Ear feedback on the accuracy of discrete trial teaching implementation among two pre-service teachers majoring in elementary education and one pre-service teacher majoring in exceptional education. An adult confederate was used to receive discrete trial teaching. Implementing a multiple baseline across participants design, this study examined whether there was a functional relationship between receiving Bug in Ear feedback and the accuracy of discrete trial teaching implementation. The discrete trial teaching evaluation form was utilized to measure the accuracy of discrete trial teaching implementation. The findings demonstrated an increase in the discrete trial teaching implementation accuracy after Bug in Ear feedback was introduced. Participants agreed that using a self-instruction manual combined with receiving Bug in Ear feedback was beneficial in learning to implement discrete trial teaching.
Show less
Date Issued: 2012
Identifier: CFE0004576, ucf:49203
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004576

Title: Constructing and Validating an Integrative Economic Model of Health Care Systems and Health Care Markets: A Comparative Analysis of OECD Countries.
Creator: Helligso, Jesse, Wan, Thomas, Liu, Albert Xinliang, King, Christian, Hamann, Kerstin, University of Central Florida
Abstract / Description: This dissertation argues that there are three basic types of health care systems used in industrial nations: free market (private insurance and provision), universal (public insurance and private provision), and socialized (public insurance and provision). It examines the role of market forces (supply and demand) within the health care systems and their effects on health outcomes by constructing an integrative model of health care markets and policies that is lacking within the scientific and...
Show moreThis dissertation argues that there are three basic types of health care systems used in industrial nations: free market (private insurance and provision), universal (public insurance and private provision), and socialized (public insurance and provision). It examines the role of market forces (supply and demand) within the health care systems and their effects on health outcomes by constructing an integrative model of health care markets and policies that is lacking within the scientific and academic literature. The results show that, free market systems have decreased access to care, good quality of care, and are economically inefficient resulting in 2.7 years of life expectancy lost and wasted expenditures (expenditures that do not increase life expectancy) of $3474 per capita ($1.12 trillion per year in the U.S.). Socialized systems are the most economically efficient systems but have decreased access to care compared to universal systems, increased access to care compared to free market systems and have the lowest quality of care of all three systems resulting in 3 months of life expectancy lost per capita and a saving of $335 per capita. Universal systems perform better than either of the other 2 systems based on quality and access to care. The models show that health insurance is a Giffen Good; a good that defies the law of demand. This study is the first fully demonstrated case of a Giffen good. This investigation shows how the theoretically informed integrative model behaves as predicted and influences health outcomes contingent upon the system type. To test and substantiate this integrative model, regression analysis, Time-Series-Cross-Section analysis, and structural equation modeling were performed using longitudinal data provided and standardized by the Organization for Economic Cooperation and Development (OECD). The results demonstrate that universal health care systems are superior to the other two systems.
Show less
Date Issued: 2018
Identifier: CFE0007335, ucf:52114
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007335

Title: PERCEIVED SERVICE QUALITY'S IMPACT ON BEHAVIORAL INTENTIONS IN THE TIMESHARE INDUSTRY.
Creator: Pollard, Leonard, Malone, Linda, University of Central Florida
Abstract / Description: This study created a model using factor analysis and structural equation modeling to investigate the relationship of service quality, word-of-mouth recommendation and price sensitivity of individuals who experienced a timeshare mini vacation at a branded timeshare resort. The constructs of service quality were developed by creating a survey tool. A total of 4,797 surveys were electronically sent resulting in a total of 1,275 of the individuals surveyed who met the criteria of staying at a...
Show moreThis study created a model using factor analysis and structural equation modeling to investigate the relationship of service quality, word-of-mouth recommendation and price sensitivity of individuals who experienced a timeshare mini vacation at a branded timeshare resort. The constructs of service quality were developed by creating a survey tool. A total of 4,797 surveys were electronically sent resulting in a total of 1,275 of the individuals surveyed who met the criteria of staying at a branded hotel or resort during their mini vacation. Six different variables were created from the ordinal level questions on the survey: Resort Accommodations, Sales Gallery, Sales Presentation, Resort Activities, Resort Staff and Brand Value. These were then used in an exploratory factor analysis to identify latent factors after which structural equation modeling was used to define the relationship between the factors and the independent variables. A total of 44 models were explored and evaluated based on goodness-of-fit metrics. The model that had the best level of fit was a first-order two-factor model. This model was created with an 80% subset and confirmed with a 20% subset of the sample. The factors found represent the Vacation Experience Promise (VEP) and the Vacation Experience Delivery (VED). There was a positive correlation for both VEP and VED with word-of-mouth recommendation and price sensitivity. The research also posited 24 hypotheses of the relationship between the service quality constructs, word-of-mouth recommendation and price sensitivity with the demographic characteristics of guest type, gender, stay type, age, marital status, gross income, timeshare ownership and the number of presentations attended. There was not enough information to support a relationship between the service quality constructs, word-of-mouth recommendation and price sensitivity with regards to gender, gross income and marital status. There was a difference in the scores for the service quality constructs and the varying categories within the age, stay type, and timeshare ownership demographic variables. There was a difference only in the VED scores and the varying categories within the guest type and presentations attended demographic variables. There was also a difference in the scores for the word-of-mouth recommendation construct and the varying categories within the age, guest type, timeshare ownership and number of presentations attended demographic variables. Lastly, there was also a difference in the scores for the price sensitivity construct and the varying categories within the guest type, timeshare ownership and presentation attended demographic variables. The research discusses the business implications associated with these findings and proposes next steps for future research.
Show less
Date Issued: 2010
Identifier: CFE0003475, ucf:48942
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003475

Title: THE RELATIONSHIP BETWEEN GENRE CHOICE OF MUSIC AND ALTRUISTIC BEHAVIOR.
Creator: Hippler, Christine, Whitten, Shannon, University of Central Florida
Abstract / Description: ABSTRACT Extensive research has documented the relationship between listening to certain genres of music and negative effects on social behavior such as aggressive and antisocial behavior. The present study explored whether there are genres of music associated with altruism. Altruistic behavior is defined as behavior that is consistently more caring, helpful, considerate of other's feelings, and self- sacrificing. These behaviors promote our ability to thrive as a community. Yet, few studies...
Show moreABSTRACT Extensive research has documented the relationship between listening to certain genres of music and negative effects on social behavior such as aggressive and antisocial behavior. The present study explored whether there are genres of music associated with altruism. Altruistic behavior is defined as behavior that is consistently more caring, helpful, considerate of other's feelings, and self- sacrificing. These behaviors promote our ability to thrive as a community. Yet, few studies have addressed the relationship between music and altruism. Data was collected from 608 college students who completed a self-report altruism scale, music preference measure, the Marlowe Crowne social desirability scale, and a demographic information form in order to see if there is a relationship between choice of music and altruism. A multiple hierarchal regression analysis found music genre choice accounted for 15.9 percent of variance in self-reported altruism. Significant, positive correlations emerged also between altruism and several music genres including alternative, country, classical, and emo.
Show less
Date Issued: 2011
Identifier: CFH0003820, ucf:44753
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0003820

Title: Counterproductive Work Behaviors, Justice, and Affect: A Meta-Analysis.
Creator: Cochran, Megan, Joseph, Dana, Fritzsche, Barbara, Jentsch, Kimberly, University of Central Florida
Abstract / Description: Counterproductive work behaviors (CWBs) are an expensive phenomenon for organizations, costing billions of dollars collectively each year. Recent research has focused on justice perceptions as predictors of CWBs, but little research has been conducted on the specific types of counterproductive work behaviors (i.e., sabotage, withdrawal, production deviance, abuse, and theft) that result from specific organizational justice perceptions (i.e., distributive, procedural, interpersonal, and...
Show moreCounterproductive work behaviors (CWBs) are an expensive phenomenon for organizations, costing billions of dollars collectively each year. Recent research has focused on justice perceptions as predictors of CWBs, but little research has been conducted on the specific types of counterproductive work behaviors (i.e., sabotage, withdrawal, production deviance, abuse, and theft) that result from specific organizational justice perceptions (i.e., distributive, procedural, interpersonal, and informational) and the mediating effect of state affect. The current paper meta-analyzed the relationships between justice, CWB, and state affect and found that justice was negatively related to dimensions of CWB and state positive/negative affect were negatively/positively related to CWB dimensions, respectively. However, mediation of the relationship between justice and CWB by state affect was inconsistent across justice types and CWB dimensions. These findings suggests that, while managers should maintain an awareness of justice and state affect as individual predictors of CWBs, the current study does not necessarily support the claim that state affect explains the relationship between justice and counterproductive work behavior dimensions.
Show less
Date Issued: 2014
Identifier: CFE0005151, ucf:50689
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005151

Title: The Effects of State Leader Psychology on Civil War Lethality.
Creator: Kelley, Brandon, Vasquez, Joseph, Dolan, Thomas, Schafer, Mark, University of Central Florida
Abstract / Description: Does a state leader's psychology influence lethality in civil wars? This thesis analyzes the aforementioned question during post-1945 civil wars. This particular subject, paying close attention to individual psychology at the state level, is gaining traction amongst scholars, though limited scholarly attention has addressed whether leader psychology is an indicator of conflict severity in terms of lethality. The psychology of the state leader in this thesis is assessed from leadership traits...
Show moreDoes a state leader's psychology influence lethality in civil wars? This thesis analyzes the aforementioned question during post-1945 civil wars. This particular subject, paying close attention to individual psychology at the state level, is gaining traction amongst scholars, though limited scholarly attention has addressed whether leader psychology is an indicator of conflict severity in terms of lethality. The psychology of the state leader in this thesis is assessed from leadership traits and operational code indices, specifically direction of strategy (I1) and interpretation of the nature of the political universe (P1). The data and cases used are pulled from datasets by Dr. James Fearon and the Correlates of War Project. The leaders' speech content is derived primarily from prepared material and analyzed using verbal content analysis via Profiler Plus. In measuring the effects of the predictors on my dependent variable, I chose the methodological approach of count data models, specifically, zero-truncated negative binomial regression. The results from the eight models I ran show that specific psychological traits, particularly a leader's I1 and P1 scores, level of distrust, and need for power, do play a significant role when determining the causes of civil war lethality.
Show less
Date Issued: 2014
Identifier: CFE0005358, ucf:50469
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005358

Title: Uncovering The Sub-Text: Presidents' Emotional Expressions and Major Uses of Force.
Creator: Assaf, Elias, Houghton, David, Kim, Myunghee, Dolan, Thomas, University of Central Florida
Abstract / Description: The global context of decision making continues to adapt in response to international threats. Political psychologists have therefore considered decision making processes regarding major uses of force a key area of interest. Although presidential personality has been widely studied as a mitigating factor in the decision making patterns leading to uses of force, traditional theories have not accounted for the emotions of individuals as they affect political actions and are used to frame public...
Show moreThe global context of decision making continues to adapt in response to international threats. Political psychologists have therefore considered decision making processes regarding major uses of force a key area of interest. Although presidential personality has been widely studied as a mitigating factor in the decision making patterns leading to uses of force, traditional theories have not accounted for the emotions of individuals as they affect political actions and are used to frame public perception of the use of force. This thesis therefore measures expressed emotion and cognitive expressions in the form of expressed aggression, passivity, blame, praise, certainty, realism, and optimism as a means of predicting subsequent major uses of force. Since aggression and blame are precipitated by anger and perceived vulnerability, they are theorized to foreshadow increased uses of force (Gardner and Moore 2008). Conversely, passivity and praise are indicative of empathy and joy respectively, and are not expected to precede aggressive behavior conducted to maintain emotional regulation (Roberton, Daffer, and Bucks 2012). Additionally, the three cognitive variables of interest expand on existing literature on beliefs and decision making expounded by such authors as Walker (2010), Winter (2003) and Hermann (2003). DICTION 6.0 is used to analyze all text data of presidential news conferences, candidate debates, and State of the Union speeches given between 1945 and 2000 stored by The American Presidency Project (Hart and Carroll 2012). Howell and Pevehouse's (2005) quantitative assessment of quarterly U.S. uses of force between 1945 and 2000 is employed as a means of quantifying instances of major uses of force. Results show systematic differences among the traits expressed by presidents, with most expressions staying consistent across spontaneous speech contexts. Additionally, State of the Union speeches consistently yielded the highest scores across the expressed traits measured; supporting the theory that prepared speech is used to emotionally frame situations and setup emotional interpretations of events to present to the public. Time sensitive regression analyses indicate that expressed aggression within the context of State of the Union Addresses is the only significant predictor of major uses of force by the administration. That being said, other studies may use the comparative findings presented herein to further establish a robust model of personality that accounts for individual dispositions toward emotional expression as a means of framing the emotional interpretation of events by audiences.
Show less
Date Issued: 2014
Identifier: CFE0005300, ucf:50513
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005300

Title: Textbook Cost-Lowering Initiatives: An Exploration of Community College Faculty Experiences.
Creator: Dunn, Susan, Cintron Delgado, Rosa, Owens, James, Boyd, Tammy, Mcardle, Michele, University of Central Florida
Abstract / Description: Faculty have been identified as critical players in the implementation of textbook affordability efforts at community colleges. Furthermore, emerging lower-cost alternatives to traditional textbooks present a wide and growing range of options that may help further efforts. This study sought to examine more closely the role of faculty with respect to textbook cost-lowering initiatives. The researcher utilized in-depth interviews to gain a rich picture of the experiences, attitudes, beliefs,...
Show moreFaculty have been identified as critical players in the implementation of textbook affordability efforts at community colleges. Furthermore, emerging lower-cost alternatives to traditional textbooks present a wide and growing range of options that may help further efforts. This study sought to examine more closely the role of faculty with respect to textbook cost-lowering initiatives. The researcher utilized in-depth interviews to gain a rich picture of the experiences, attitudes, beliefs, and behaviors of nine full-time community college faculty as they confronted textbook affordability efforts and textbook alternatives. The interview data were analyzed using a thematic analysis process. Five major themes and three minor themes were identified. The five major themes were: (a) campus administrators support, but do not mandate, efforts; (b) frequent edition revisions frustrate faculty; (c) departmental approaches to textbook selection vary; (d) content, then affordability, drive selection choices; and (e) faculty have mixed feelings about textbook alternatives. The three minor themes were: (a) faculty efforts to save students money are thwarted by campus bookstores and financial aid policies; (b) English faculty benefit from public domain readings; and (c) more faculty participating in textbook selection means more difficulty deciding on a text. Implications and recommendations were offered for community college leaders, campus bookstores, publishers, and future researchers.
Show less
Date Issued: 2014
Identifier: CFE0005159, ucf:50715
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005159

Title: University Students' Citizenship Shaped by Service-Learning, Community Service, and Peer-to-Peer Civic Discussions.
Creator: Winston, Haley, Cintron Delgado, Rosa, Welch, Kerry, Malaret, Stacey, Bowdon, Melody, University of Central Florida
Abstract / Description: Citizenship is often referred to as the forgotten outcome of colleges and universities. The present study examined the relationship between undergraduate students' perceived citizenship level and different types of civic experiences (service-learning, community service, and peer-to-peer civic discussions) and also different demographic factors (gender, race/ethnicity, and parental level of education) at a public institution using the Personal and Social Responsibility Inventory. This study...
Show moreCitizenship is often referred to as the forgotten outcome of colleges and universities. The present study examined the relationship between undergraduate students' perceived citizenship level and different types of civic experiences (service-learning, community service, and peer-to-peer civic discussions) and also different demographic factors (gender, race/ethnicity, and parental level of education) at a public institution using the Personal and Social Responsibility Inventory. This study used structural equation modeling and multiple regression analysis. This marks the first time these variables have been researched together. This study found a significant correlation between both community service and peer-to-peer civic discussions in relation to citizenship level. Yet, service-learning frequency was not found to be a significant factor. On the other hand, all three civic experiences together was found to be significantly correlated to citizenship aptitudes. Leading the researcher to find that a holistic (both inside and outside the classroom) approach to student citizenship is valuable for student development. Also, only one significant relationship was found between citizenship levels and any demographic variable (parental education level of doctorate or professional degree).
Show less
Date Issued: 2017
Identifier: CFE0006927, ucf:51695
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006927

affect (2)	+ -
behavior (2)	+ -
leadership traits (2)	+ -
operational code (2)	+ -
?Civics (1)	+ -

?Community Programs (1)	+ -
?Higher Education (1)	+ -
?Interpersonal Communication (1)	+ -
?Peer Relationship (1)	+ -
?Postsecondary Education (1)	+ -
?Service?Learning (1)	+ -
?Social Responsibility (1)	+ -
?Student Attitudes (1)	+ -
?Student Behavior (1)	+ -
?Student Participation (1)	+ -
?Student Surveys (1)	+ -
?Undergraduate Students (1)	+ -
?Volunteers (1)	+ -
ADHD (1)	+ -
Aggression (1)	+ -
Altruism (1)	+ -
Attitutinal Familism (1)	+ -
Autism (1)	+ -
Behavior Analysis (1)	+ -
Behavior Problems (1)	+ -
Behavioral Familism (1)	+ -
Behavioral Intention Battery (1)	+ -
Building Automation System Data (1)	+ -
Building Behavior Modeling (1)	+ -
CWB (1)	+ -

ETD Collection (18)	+ -
Honors Collection (2)	+ -

University of Central Florida (20)	+ -
Cintron Delgado, Rosa (2)	+ -
Dolan, Thomas (2)	+ -
Rapport, Mark (2)	+ -
Anagnostopoulos, Georgios (1)	+ -

Assaf, Elias (1)	+ -
Bowdon, Melody (1)	+ -
Boyd, Tammy (1)	+ -
Cassisi, Jeffrey (1)	+ -
Cochran, Megan (1)	+ -
Cook, Craig (1)	+ -
Cross, Lee (1)	+ -
Da Vitoria Lobo, Niels (1)	+ -
Dieker, Lisa (1)	+ -
Dunn, Susan (1)	+ -
El-Tawil, Sherif (1)	+ -
Elva, Rochelle (1)	+ -
Foroosh, Hassan (1)	+ -
Fritzsche, Barbara (1)	+ -
Georgiopoulos, Michael (1)	+ -
Gordon, Matthew (1)	+ -
Grover, Divas (1)	+ -
Hamann, Kerstin (1)	+ -
Hassan, Mohamed Ali (1)	+ -
Helligso, Jesse (1)	+ -
Hippler, Christine (1)	+ -
Hoffman, Eric (1)	+ -
Houghton, David (1)	+ -
Hughes, Charles (1)	+ -
Ilie, Marcel (1)	+ -

Search In

Sort Results By:

Narrow results by:

Topical Subject

Collection

Type of Resource

Language

Creator

Format

Owner