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Title: MEA FAMILIA: ETHNIC BURIAL IDENTIFIERS IN ST. MICHAEL'S CEMETERY, PENSACOLA, FLORIDA.
Creator: Giroux, Amy, Chase, Diane, University of Central Florida
Abstract / Description: Grave markers from St. Michael's Cemetery in Pensacola, Florida, were studied for evidence of ethnicity and acculturation. The 1,447 grave markers dating from 1870 to 1939 were used to test two hypotheses: 1) the grave markers for ethnic groups represented in the cemetery during the project's time period have identifiable sets of burial attributes; and 2) changes in the visible ethnic attribute sets show evidence of the acculturation of ethnic groups over time. Physical attributes...
Show moreGrave markers from St. Michael's Cemetery in Pensacola, Florida, were studied for evidence of ethnicity and acculturation. The 1,447 grave markers dating from 1870 to 1939 were used to test two hypotheses: 1) the grave markers for ethnic groups represented in the cemetery during the project's time period have identifiable sets of burial attributes; and 2) changes in the visible ethnic attribute sets show evidence of the acculturation of ethnic groups over time. Physical attributes pertaining to grave markers, and personal characteristics (e.g. sex, age) for the individuals inscribed upon the markers were collected for analysis. Historical sources were used to assign ethnicity to each marker by determining the ancestry of the individuals memorialized. Grave marker attributes for ten ethnic groups were examined. The statistical results indicate a correlation of ethnicity with marker attributes. Central Europeans had the most identifiable preferences including large markers, vertical markers, floral design motifs, and headstone molding. Other observable ethnic patterns include the use of family markers, non-marble materials, horizontal markers, relationship wording, and religious symbolism. Spatial analysis illustrates that ethnic markers were dispersed across the cemetery; this lack of segregation in the graveyard may be due to acculturation. However, the diachronic changes in burial identifiers cannot be clearly ascribed to the acculturation of immigrants. Use of marble materials and the height of markers diminished for all ethnic groups. Changes in the memorialization industry were likely contributing factors to differences in attribute selection over time. Therefore, while ethnic burial identifiers are statistically visible in the cemetery landscape, attribute changes are not exclusively caused by acculturation.
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Date Issued: 2009
Identifier: CFE0002910, ucf:47997
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002910

Title: PARENTAL ATTRIBUTIONS AND DISCIPLINE OF CHILD BEHAVIOR.
Creator: Oliveros, Arazais, Renk, Kimberly, University of Central Florida
Abstract / Description: Extant empirical evidence suggests that multiple risk and protective factors implicated in children's development of behavior problems are intertwined. This study, therefore, investigated the relationships among parental depression and anger, attributions of control, discipline, parent-child relationship variables, and children's behavior problems. Results were based on the responses of parents (55 mothers and 13 fathers) with children in Head Start and parents (52 mothers and 4 fathers) with...
Show moreExtant empirical evidence suggests that multiple risk and protective factors implicated in children's development of behavior problems are intertwined. This study, therefore, investigated the relationships among parental depression and anger, attributions of control, discipline, parent-child relationship variables, and children's behavior problems. Results were based on the responses of parents (55 mothers and 13 fathers) with children in Head Start and parents (52 mothers and 4 fathers) with children in Private School settings. All parents had children who ranged in age from 3- to 8-years. Compared to Private School parents, Head Start parents had lower levels of nonviolent discipline, involvement, and autonomy granting and endorsed greater internalizing behavior problems in their children. Significant correlations were found among parent-child relationship characteristics, parental discipline practices, and child behavior problems in both samples. Regression analyses suggested that Private School parents' use of psychological aggression and autonomy granting interact in the prediction of children's internalizing behavior problems. Although Head Start parents' higher attributions of child control for failure predicted lower levels of nonviolent discipline, and Private School parents' use of psychological aggression predicted greater levels of children's externalizing behavior problems, there was no evidence of parental discipline mediating the relationship between parental attributions and children's behavior problems. These findings emphasize the importance of research involving disadvantaged and nondisadvantaged community samples in order to provide a context for understanding how parental discipline and children's behavior problems are related to parent traits and parent-child relationship characteristics.
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Date Issued: 2005
Identifier: CFE0000529, ucf:46449
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000529

Title: Gee, thanks: The emotional and structural forces that influence subordinates' upward gratitude expressions.
Creator: Sheridan, Sharon, Ambrose, Maureen, Crossley, Craig, Schminke, Marshall, Sivo, Stephen, University of Central Florida
Abstract / Description: Recently, relationship scholars have demonstrated the importance of expressions of gratitude in cultivating relational bonds and relational satisfaction between close friends and romantic partners. Although there is growing evidence that gratitude facilitates improved relationships, organizational scholars have largely ignored the importance of gratitude in the workplace. What little we know indicates that expressions of gratitude in organizations may be rare. Indeed, a recent national survey...
Show moreRecently, relationship scholars have demonstrated the importance of expressions of gratitude in cultivating relational bonds and relational satisfaction between close friends and romantic partners. Although there is growing evidence that gratitude facilitates improved relationships, organizational scholars have largely ignored the importance of gratitude in the workplace. What little we know indicates that expressions of gratitude in organizations may be rare. Indeed, a recent national survey revealed that 74% of the participants rarely, if ever, expressed gratitude to their supervisors (Kaplan, 2012). What might explain this apparent lack of gratitude?Research demonstrates that when individuals feel grateful for the generosity of a benefactor, they are motivated to acknowledge the benefactor's efforts and this typically manifests in a desire to express thanks or appreciation. Thus, in order to understand why subordinates may be unlikely to express gratitude towards their supervisors for benefits received, we must understand why they may not feel grateful in the first place. In this dissertation, I review the extant research on gratitude expressions and theorize about the factors that may influence subordinates' emotional reactions to benefits received from supervisors. Using a cognitive-emotion framework, I explain how subordinates' attributions can elicit divergent emotional responses that exert differential influences on upward expressions of gratitude and how supervisors' behavior influences these attributions. Across two studies, I find mixed support for my hypotheses.
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Date Issued: 2017
Identifier: CFE0006658, ucf:51225
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006658

Title: THE ROLE OF FACIAL APPEARANCE IN GENDER CATEGORIZATION.
Creator: Simpkins, Joshua, Carter, Shannon, University of Central Florida
Abstract / Description: Of the many systems of social organization which members of US society use to categorize other members, gender is one of the most important. The gender system operates to place members of US society into categories, and then allocate labor and resources to those members on the basis of their category membership. In order to better understand the gender system, this study examines the methods by which members of US society use the gender system to place other members into a gender category....
Show moreOf the many systems of social organization which members of US society use to categorize other members, gender is one of the most important. The gender system operates to place members of US society into categories, and then allocate labor and resources to those members on the basis of their category membership. In order to better understand the gender system, this study examines the methods by which members of US society use the gender system to place other members into a gender category. First, full facial photographs were taken of a group of participants of varying gender, race, ethnicity, and age. Then, parts of each participant's face were isolated digitally and shown to a second group of participants. This second group was asked to identify the sex and/or gender of the individual in the image, indicate how confident they were in this identification, and then write a brief explanation for why they identified the individual in the image as they did. The analysis conducted by this study supports three findings. First, though the gender categories "male" and "female" are still widely predominant, other categories such as "genderqueer" are seeing use as well. Second, the mouth and lips tend to be seen as more important indicators of gender than other facial features. Finally, while the race and gender category membership of the member doing the categorizing has little or no interaction with the gender categorization process, the race and gender category membership of the member being categorized does have a significant interaction.
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Date Issued: 2011
Identifier: CFH0003690, ucf:44750
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0003690

Title: PERCEIVED GENDER AND ITS EFFECT ON ATTRIBUTIONS TOWARD AVATARS IN THE VIDEO GAME SPORE.
Creator: Sweeney, Victoria, Sims, Valerie, University of Central Florida
Abstract / Description: In this study, 174 undergraduates from the University of Central Florida were asked to rate individual human and animal avatar features from the video game Spore on their level of femininity, masculinity, likability, and how well the feature represented them on a 7 point Likert scale of agreeability. Avatar features were presented on a neutral gray, quadruped body in two different views. It was expected that participants would show higher likability for avatar features that they perceived as...
Show moreIn this study, 174 undergraduates from the University of Central Florida were asked to rate individual human and animal avatar features from the video game Spore on their level of femininity, masculinity, likability, and how well the feature represented them on a 7 point Likert scale of agreeability. Avatar features were presented on a neutral gray, quadruped body in two different views. It was expected that participants would show higher likability for avatar features that they perceived as corresponding to their Personal Attribute Questionnaire (PAQ) gender. Males liked feminine features approximately the same as females, however, in many categories females liked the most masculine features more than the most feminine features. Males liked the most masculine body detail feature more than females, and females liked the most masculine body detail more than males. It also was anticipated that avatar features rated as having both low femininity and low masculinity would be the features rated lowest in likability overall. These features did not have the lowest likability, but were somewhat close to neutral in likability. These results have implications for likable avatar creation for businesses, the military, and education.
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Date Issued: 2011
Identifier: CFH0003815, ucf:44714
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0003815

Title: ATTRIBUTES INFLUENCING MEETING PLANNERS' DESTINATION SELECTION: A CASE OF ORLANDO, FL.
Creator: Hayat, Adi, Okumus, Fevzi, University of Central Florida
Abstract / Description: The meetings, incentives, conventions, and exhibitions (MICE) industry generates billions of dollars in direct and indirect spending annually, and is considered one of the fastest growing segments of the tourism industry. Destinations that want to capitalize on this industry must understand what drives its planners. The current study used Orlando, Florida as a case study, and investigated whether there are differences between the three meeting planners' types (association, corporate, 3rd...
Show moreThe meetings, incentives, conventions, and exhibitions (MICE) industry generates billions of dollars in direct and indirect spending annually, and is considered one of the fastest growing segments of the tourism industry. Destinations that want to capitalize on this industry must understand what drives its planners. The current study used Orlando, Florida as a case study, and investigated whether there are differences between the three meeting planners' types (association, corporate, 3rd party) in regards to destination selection attributes and the recent recession impact. The study further identified attributes that affect future bookings to Orlando. Data was collected from a nationwide survey of meeting planners with a usable sample of 2,388 completed phone surveys and 118 completed online questionnaires. Only one significant difference was found between the three meeting planners' types. This research was performed in the midst of the recent recession. Some effects of the recent economic downturn on the events industry are decreased attendance and more conservative cost management. Most association meeting planners did not cancel or postponed their events, although all planners agree that attendance to their meetings decreased. Third party planners seemed to be the most sensitive to budget allocations. Recommendations for the Orlando Orange County Conventions and Visitor's Bureau include marketing the variety and quality of its meeting facilities better, its extreme weather insurance and its website. It is also wise to pursue more local associations, because those can be the main source of income during recessions.
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Date Issued: 2011
Identifier: CFE0004008, ucf:49180
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004008

Title: Childhood Trauma, Reflective Functioning and Attributions, Self-Efficacy, and Perceived Parenting Competence: What Happens When the Traumatized Child Grows Up and Becomes a Mother?.
Creator: Cunningham, Annelise, Renk, Kimberly, Paulson, Daniel, Sims, Valerie, University of Central Florida
Abstract / Description: Previous research documented the relationship between self-efficacy and perceived parenting competence. Further, previous evidence supported the cognitive, emotional, and behavioral consequences of early exposure to trauma. To build on these previously noted relationships, the present study examined the relationships among reflective functioning and attributions, self-efficacy, and perceived parenting competence, with self-efficacy serving as a mediating variable. Specifically, this study...
Show morePrevious research documented the relationship between self-efficacy and perceived parenting competence. Further, previous evidence supported the cognitive, emotional, and behavioral consequences of early exposure to trauma. To build on these previously noted relationships, the present study examined the relationships among reflective functioning and attributions, self-efficacy, and perceived parenting competence, with self-efficacy serving as a mediating variable. Specifically, this study sought to focus on the cognitive variables associated with mothers' perceived self-efficacy and parenting competence and how those variables interact differently when early exposure to trauma is present. As part of this study, a national community sample of 126 culturally diverse mothers of young children who were between the ages of 1(&)#189;- to 5-years rated their own reflective functioning, attributions, self-efficacy, and perceived parenting competence as well as their young children's emotional and behavioral functioning. Correlational analyses showed significant relationships among the variables of interest. Further, mediation analyses indicated that, for the overall sample, mothers' self-efficacy mediated the relationship between both mothers' reflective functioning and attributions and perceived parenting competence. Interestingly, a varying relationship among reflective functioning was found among mothers with a trauma history in comparison to the total sample. Additionally, hierarchical regression analyses demonstrated that, for both samples, mothers' reflective functioning, attributions, self-efficacy, and perceived parenting competence collectively predicted young children's emotional and behavioral functioning. Lastly, through an auxiliary hypothesis, a curvilinear relationship was identified between mothers' perceived self-efficacy and parenting competence. Overall, this study contributed information regarding the importance of self-efficacy as a mechanism through which reflective functioning and attributions may potentially be related to perceived parenting competence. Accordingly, these findings suggested that mothers' perceptions about their own abilities may be a potentially important point of intervention.
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Date Issued: 2016
Identifier: CFE0006092, ucf:51191
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006092

Title: WORK-FAMILY CONFLICT AND PERFORMANCE EVALUATIONS: WHO GETS A BREAK?.
Creator: Hickson, Kara, Fritzsche, Barbara, University of Central Florida
Abstract / Description: Forty percent of employed parents report that they experience work-family conflict (Galinsky, Bond, & Friedman, 1993). Work-family conflict (WFC) exists when role pressures from the work and family domains are mutually incompatible. WFC is associated with decreases in family, job, and life satisfaction and physical health; intention to quit one's job; and increases in workplace absenteeism. Women may be more impacted by WFC than men, as women report completing 65-80% of the child care ...
Show moreForty percent of employed parents report that they experience work-family conflict (Galinsky, Bond, & Friedman, 1993). Work-family conflict (WFC) exists when role pressures from the work and family domains are mutually incompatible. WFC is associated with decreases in family, job, and life satisfaction and physical health; intention to quit one's job; and increases in workplace absenteeism. Women may be more impacted by WFC than men, as women report completing 65-80% of the child care (Sayer, 2001) and spend 80 hours per week fulfilling work and home responsibilities (Cowan, 1983). Research suggests that WFC can be reduced with social support, such as co-workers providing assistance when family interferes with work (Carlson & Perrewé, 1999). It is unclear whether parents 'get a break' or are penalized by co-workers. The purpose of the present study was to examine co-workers' reactions to individuals who experience WFC. Based on sex role theory and attribution theory, it was predicted that women, people who experience family interference with work, and those who have more control over the work interference would be helped less and evaluated more poorly on a team task than men, people who experience non-family related work interference, and those who have less control over the work interference. A laboratory experiment was conducted in which participants signed up for a team-based study. The teammate was a confederate who was late for the study. Teammate control over the tardiness (unexpected physician's visit versus forgotten physician's appointment), type of work conflict (self- versus family-related), and gender of the teammate were manipulated. After learning about the reasons for the tardiness of their teammate, the 218 participants (63% female; 59% Caucasian) decided whether to help the late teammate by completing a word sort task for them or letting the late teammate make up the work after the experiment. When the teammate arrived, the participants completed a team task and then evaluated the task performance of their teammate. None of the hypotheses were confirmed in this study. However, exploratory analyses showed that people who had more control over the tardiness were rated lower than people who had less control over the tardiness. Contrary to expectations, exploratory analyses also showed that men rated women who were late to the study for a family-related reason higher than women who were late due to a self-related reason. These findings suggest that male co-workers may give women a break when they experience family interference with work. Implications for future research and practice are discussed.
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Date Issued: 2008
Identifier: CFE0002136, ucf:47517
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002136

Title: THE ASSOCIATION OF ATTACHMENT STYLE AND PERCEPTIONS OF CAREGIVER EXPERIENCE.
Creator: Luther, Kandace, Paulson, Daniel, University of Central Florida
Abstract / Description: This research examines caregiver experiences as they relate to attachment style. The overarching hypothesis is that perceptions of the caregiver role differ depending on the degree of avoidance and anxiousness in the caregiver's attachment style. Caregiver response was measured in the areas of filial obligation, work reduction, perceived control, caregiver burden, depressive symptomatology, and preparedness for caregiving. The final sample consisted of 150 caregivers who identified as the...
Show moreThis research examines caregiver experiences as they relate to attachment style. The overarching hypothesis is that perceptions of the caregiver role differ depending on the degree of avoidance and anxiousness in the caregiver's attachment style. Caregiver response was measured in the areas of filial obligation, work reduction, perceived control, caregiver burden, depressive symptomatology, and preparedness for caregiving. The final sample consisted of 150 caregivers who identified as the primary caregiver for a parent over the age of 65. This sample was recruited using Mechanical Turk, an online survey distribution tool. The survey was created online with Qualtrics software. Data were analyzed using SPSS software, and procedures primarily focused on correlational and descriptive statistics. The results revealed several significant correlations between attachment style and caregiver burden as well as depression, supporting the hypothesis that attachment style is associated with differences in perception of the caregiver experience. This research is motivated by the increasingly urgent need for caregiver support through financial aid, counseling services, and cohesive healthcare options.
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Date Issued: 2014
Identifier: CFH0004705, ucf:45408
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004705

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: The effects of Japanese Ryokan attributes on perceived values and purchase intention.
Creator: Karakawa, Ryuichi, Kwun, David, Hara, Tadayuki, Kang, Juhee, University of Central Florida
Abstract / Description: The increasing demand for spa and hot spring resorts, particularly within the luxury markets, provides an opportunity for new types of accommodations. This study focused on Ryokan which is described as traditional Japanese hotels with hot springs. Despite the recent trend of expanding Japanese Ryokans in the global market, most extant research had only focused on perceptions of customers who have experienced Ryokans. Therefore, this study explored what attributes of Japanese Ryokans are...
Show moreThe increasing demand for spa and hot spring resorts, particularly within the luxury markets, provides an opportunity for new types of accommodations. This study focused on Ryokan which is described as traditional Japanese hotels with hot springs. Despite the recent trend of expanding Japanese Ryokans in the global market, most extant research had only focused on perceptions of customers who have experienced Ryokans. Therefore, this study explored what attributes of Japanese Ryokans are important to potential customers and to what extent these attributes could enhance perceived values toward Japanese Ryokans. A total of 983 usable responses were collected through an online self-administrative survey on Qualtrics.The results of this study identified four major dimensions of Japanese Ryokan's attributes (i.e., hotel attributes, hot springs and spas, Japanese servicescape, and Japanese culture) and two major dimensions of perceived value (i.e., functional (&) hedonic value and symbolic (&) financial value). Overall, Japanese servicescape, Japanese culture, and hot springs and spas had a significant positive effect on both value dimensions, while hotel attributes positively related to functional (&) hedonic value. In addition, the two dimensions of perceived value significantly mediated the relationship between Ryokan attribute dimensions and purchase intention.This study contributes to the theoretical foundation in the lodging literature by identifying dimensions of Japanese Ryokan attributes which reflect the unique characteristics of Japanese Ryokans within the luxury hot spring hotel/ resort context. Furthermore, the results of this study revealed potential consumers' value perceptions toward luxury Japanese Ryokans and their effects on purchase intention. Overall, this study provided useful guidelines for Japanese Ryokans to create value-based marketing strategies.
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Date Issued: 2019
Identifier: CFE0007473, ucf:52663
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007473

Title: SCALABLE AND EFFICIENT OUTLIER DETECTION IN LARGE DISTRIBUTED DATA SETS WITH MIXED-TYPE ATTRIBUTES.
Creator: Koufakou, Anna, Georgiopoulos, Michael, University of Central Florida
Abstract / Description: An important problem that appears often when analyzing data involves identifying irregular or abnormal data points called outliers. This problem broadly arises under two scenarios: when outliers are to be removed from the data before analysis, and when useful information or knowledge can be extracted by the outliers themselves. Outlier Detection in the context of the second scenario is a research field that has attracted significant attention in a broad range of useful applications. For...
Show moreAn important problem that appears often when analyzing data involves identifying irregular or abnormal data points called outliers. This problem broadly arises under two scenarios: when outliers are to be removed from the data before analysis, and when useful information or knowledge can be extracted by the outliers themselves. Outlier Detection in the context of the second scenario is a research field that has attracted significant attention in a broad range of useful applications. For example, in credit card transaction data, outliers might indicate potential fraud; in network traffic data, outliers might represent potential intrusion attempts. The basis of deciding if a data point is an outlier is often some measure or notion of dissimilarity between the data point under consideration and the rest. Traditional outlier detection methods assume numerical or ordinal data, and compute pair-wise distances between data points. However, the notion of distance or similarity for categorical data is more difficult to define. Moreover, the size of currently available data sets dictates the need for fast and scalable outlier detection methods, thus precluding distance computations. Additionally, these methods must be applicable to data which might be distributed among different locations. In this work, we propose novel strategies to efficiently deal with large distributed data containing mixed-type attributes. Specifically, we first propose a fast and scalable algorithm for categorical data (AVF), and its parallel version based on MapReduce (MR-AVF). We extend AVF and introduce a fast outlier detection algorithm for large distributed data with mixed-type attributes (ODMAD). Finally, we modify ODMAD in order to deal with very high-dimensional categorical data. Experiments with large real-world and synthetic data show that the proposed methods exhibit large performance gains and high scalability compared to the state-of-the-art, while achieving similar accuracy detection rates.
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Date Issued: 2009
Identifier: CFE0002734, ucf:48161
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002734

Title: Synthetic generators for simulating social networks.
Creator: Mohammed Ali, Awrad, Sukthankar, Gita, Wu, Annie, Boloni, Ladislau, University of Central Florida
Abstract / Description: An application area of increasing importance is creating agent-based simulations to model human societies. One component of developing these simulations is the ability to generate realistic human social networks. Online social networking websites, such as Facebook, Google+, and Twitter, have increased in popularity in the last decade. Despite the increase in online social networking tools and the importance of studying human behavior in these networks, collecting data directly from these...
Show moreAn application area of increasing importance is creating agent-based simulations to model human societies. One component of developing these simulations is the ability to generate realistic human social networks. Online social networking websites, such as Facebook, Google+, and Twitter, have increased in popularity in the last decade. Despite the increase in online social networking tools and the importance of studying human behavior in these networks, collecting data directly from these networks is not always feasible due to privacy concerns. Previous work in this area has primarily been limited to 1) network generators that aim to duplicate a small subset of the original network's properties and 2) problem-specific generators for applications such as the evaluation of community detection algorithms.In this thesis, we extended two synthetic network generators to enable them to duplicate the properties of a specific dataset. In the first generator, we consider feature similarity and label homophily among individuals when forming links. The second generator is designed to handle multiplex networks that contain different link types. We evaluate the performance of both generators on existing real-world social network datasets, as well as comparing our methods with a related synthetic network generator. In this thesis, we demonstrate that the proposed synthetic network generators are both time efficient and require only limited parameter optimization.
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Date Issued: 2014
Identifier: CFE0005532, ucf:50300
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005532

Title: TEMPORAL TRENDS IN GRAVE MARKER ATTRIBUTES: AN ANALYSIS OF HEADSTONES IN FLORIDA.
Creator: Reynolds, Patrisha, Schultz, Ph.D., John J., University of Central Florida
Abstract / Description: Grave markers reflect a wealth of information and collectively epitomize society's historic, social, and economic patterns over time. Despite an abundance of cemetery research in other parts of the country, little research has been undertaken to evaluate grave marker attributes in Florida. The purpose of this research was to determine how grave marker attributes have changed over time in north-central, central, and southeast Florida. Data were collected from ten cemeteries in five counties in...
Show moreGrave markers reflect a wealth of information and collectively epitomize society's historic, social, and economic patterns over time. Despite an abundance of cemetery research in other parts of the country, little research has been undertaken to evaluate grave marker attributes in Florida. The purpose of this research was to determine how grave marker attributes have changed over time in north-central, central, and southeast Florida. Data were collected from ten cemeteries in five counties in Florida, representing the grave markers of over 1,100 individuals. Data collection involved visiting each cemetery, photographing markers, and cataloging grave marker attributes. Attributes analyzed included marker type, marker material, epitaphs, iconographic images, memorial photographs, footstones, and kerbs. A number of important trends were noted. Marker material exhibited the clearest example of a temporal trend, shifting over time from 73% marble to 73% granite. Marker type varied greatly from upright and flat ground markers to a variety of customized markers and vaults. Cultural differences were also noted with in-ground vaults dominating traditionally black cemeteries. There were clear differences in marker style between affluent and less affluent cemeteries, with numerous hand-cast cement markers observed in less prosperous areas. Furthermore, beginning in the early 1980's there is an increase in customized laser engraved markers. Overall, Florida's cemeteries offer a rich history of the state's mortuary practices and further research should be conducted to preserve this history.
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Date Issued: 2012
Identifier: CFH0004240, ucf:44918
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004240

Title: FAMILY CONFLICT AND EMERGING ADULTS' ATTRIBUTIONS OF CONFLICT IN ROMANTIC RELATIONSHIPS.
Creator: Oliveros, Arazais, Renk, Kimberly, University of Central Florida
Abstract / Description: The impact of parents' marital conflict and parent-child conflict on the adjustment of children is well documented. Given the theoretical and empirical data to support a relationship between experiencing interparental and parent-child conflict during childhood and later conflict in romantic relationships, it is important to investigate the potential mechanisms that operate in this relationship. Thus, the present study sought to investigate the extent to which attributions of conflict...
Show moreThe impact of parents' marital conflict and parent-child conflict on the adjustment of children is well documented. Given the theoretical and empirical data to support a relationship between experiencing interparental and parent-child conflict during childhood and later conflict in romantic relationships, it is important to investigate the potential mechanisms that operate in this relationship. Thus, the present study sought to investigate the extent to which attributions of conflict mediate the relationship between experiencing interparental and parent-child conflict and later conflict in a romantic relationship. Results were based on the responses of emerging adults (190 males and 473 females) enrolled in psychology courses at a large southeastern university. Compared to males, females reported experiencing lower levels of permissive parenting, as well as higher levels of interparental psychological aggression, maternal emotional availability, attachment with mothers and peers, and overt violence in their current romantic relationships. Consistent with extant research, significant correlations were found among interparental conflict, parent-child conflict, attributions of conflict, parenting style, emotional availability of parents, attachment, and conflict with current romantic partners. Regression analyses (for males and females separately) suggested that different types of interparental and parent-child conflict predict greater hostile attributions and greater levels of conflict with current romantic partners. Although attributions of conflict predicted conflict with current romantic partners, conflict attributions did not mediate the relationship between family conflict and conflict with current romantic partners. These findings emphasized the importance of research investigating the long-term cognitive and emotional effects of family conflict and violence in order to provide a context for understanding the development of risk and resilience factors for relationship violence.
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Date Issued: 2008
Identifier: CFE0002353, ucf:47819
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002353

Title: Describing Images by Semantic Modeling using Attributes and Tags.
Creator: Mahmoudkalayeh, Mahdi, Shah, Mubarak, Sukthankar, Gita, Rahnavard, Nazanin, Zhang, Teng, University of Central Florida
Abstract / Description: This dissertation addresses the problem of describing images using visual attributes and textual tags, a fundamental task that narrows down the semantic gap between the visual reasoning of humans and machines. Automatic image annotation assigns relevant textual tags to the images. In this dissertation, we propose a query-specific formulation based on Weighted Multi-view Non-negative Matrix Factorization to perform automatic image annotation. Our proposed technique seamlessly adapt to the...
Show moreThis dissertation addresses the problem of describing images using visual attributes and textual tags, a fundamental task that narrows down the semantic gap between the visual reasoning of humans and machines. Automatic image annotation assigns relevant textual tags to the images. In this dissertation, we propose a query-specific formulation based on Weighted Multi-view Non-negative Matrix Factorization to perform automatic image annotation. Our proposed technique seamlessly adapt to the changes in training data, naturally solves the problem of feature fusion and handles the challenge of the rare tags. Unlike tags, attributes are category-agnostic, hence their combination models an exponential number of semantic labels. Motivated by the fact that most attributes describe local properties, we propose exploiting localization cues, through semantic parsing of human face and body to improve person-related attribute prediction. We also demonstrate that image-level attribute labels can be effectively used as weak supervision for the task of semantic segmentation. Next, we analyze the Selfie images by utilizing tags and attributes. We collect the first large-scale Selfie dataset and annotate it with different attributes covering characteristics such as gender, age, race, facial gestures, and hairstyle. We then study the popularity and sentiments of the selfies given an estimated appearance of various semantic concepts. In brief, we automatically infer what makes a good selfie. Despite its extensive usage, the deep learning literature falls short in understanding the characteristics and behavior of the Batch Normalization. We conclude this dissertation by providing a fresh view, in light of information geometry and Fisher kernels to why the batch normalization works. We propose Mixture Normalization that disentangles modes of variation in the underlying distribution of the layer outputs and confirm that it effectively accelerates training of different batch-normalized architectures including Inception-V3, Densely Connected Networks, and Deep Convolutional Generative Adversarial Networks while achieving better generalization error.
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Date Issued: 2019
Identifier: CFE0007493, ucf:52640
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0007493

Title: Beauty and the Beast: The Attractiveness Bias in an Online Peer Mentoring Program.
Creator: Garcia, Carollaine, Jentsch, Kimberly, Jentsch, Florian, Fritzsche, Barbara, Burke, Shawn, University of Central Florida
Abstract / Description: The bias against attractiveness is fairly implicit and furthermore, powerfully impacts people's subsequent impressions of and behaviors toward others (Cash, Gillen, (&) Burns, 1977; Dion et al., 1972). Pallet, Link and Lee (2010) examined the effect of various facial spatial configurations on attractiveness and found that raters rated faces as most attractive when the eye-to-mouth ratio approximated 36% of the face length (the "golden ratio"), which coincides with the measurements of an...
Show moreThe bias against attractiveness is fairly implicit and furthermore, powerfully impacts people's subsequent impressions of and behaviors toward others (Cash, Gillen, (&) Burns, 1977; Dion et al., 1972). Pallet, Link and Lee (2010) examined the effect of various facial spatial configurations on attractiveness and found that raters rated faces as most attractive when the eye-to-mouth ratio approximated 36% of the face length (the "golden ratio"), which coincides with the measurements of an average and thus more attractive face. The present study examined the extent to which the distance of these objectively measured facial features affected mentors' perceptions of their prot(&)#233;g(&)#233;s, the subsequent mentoring given to them, and the prot(&)#233;g(&)#233;s' own behavior (e.g. seek feedback, request specific information).The gender composition of the mentor-prot(&)#233;g(&)#233; dyad was expected to moderate these relationships. I also examined whether, given the expected effects of facial measurements, withholding access to visual cues would affect mentor perceptions and behavior. Participants were 118 mentor/prot(&)#233;g(&)#233; dyads from a large Southeastern university who volunteered to participate in a formal online peer mentoring program. After seeing their prot(&)#233;g(&)#233;s' profiles (and for those in the experimental condition, a picture), mentors chatted with their prot(&)#233;g(&)#233;s once a week for 30 minutes for a total of 4 weeks. Results indicated that prot(&)#233;g(&)#233;s with facial features moderately distant from the golden ratio were perceived as more similar by mentors in same-gender dyads and received greater mentoring than did prot(&)#233;g(&)#233;s closest and farthest from the golden ratio. In opposite-gender dyads, however, mentors reported greater similarity toward those that were farthest from the golden ratio but provided the greatest mentoring to those closest to the golden ratio. The relationship between facial measurements and prot(&)#233;g(&)#233; proactivity was moderated by whether or not their mentor had access to their picture. While prot(&)#233;g(&)#233;s closest to the ratio were more proactive in the picture condition, those that were farthest from it were more proactive in the non-picture condition. Proactivity was as expected associated with greater levels of mentoring, which was ultimately related to a more fulfilled and beneficial relationship for prot(&)#233;g(&)#233;s (i.e. less stress, greater self-efficacy and satisfaction). The results of this study indicate that facial measurements are associated with both differences in mentor and in prot(&)#233;g(&)#233; behavior and that the specific nature of these relationships differs as a function of gender composition. Implications for practice and theory will be discussed.
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Date Issued: 2012
Identifier: CFE0004504, ucf:49275
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004504

Title: Examining presence and influence of linguistic characteristics in the Twitter discourse surrounding the women's right to drive movement in Saudi Arabia.
Creator: Sahly, Abdulsamad, Kinnally, William, Neuberger, Lindsay, Miller, Ann, University of Central Florida
Abstract / Description: Social media platforms like Facebook and Twitter have been popular tools for social and political movements in non-democratic societies in which traditional media outlets are under government control. Activists in Saudi Arabia, particularly women, have launched several campaigns through social media to demand the right to drive for women. This study used framing theory as the foundation for looking at the degree to which cognitive, emotion, and religious or moral language has been used to...
Show moreSocial media platforms like Facebook and Twitter have been popular tools for social and political movements in non-democratic societies in which traditional media outlets are under government control. Activists in Saudi Arabia, particularly women, have launched several campaigns through social media to demand the right to drive for women. This study used framing theory as the foundation for looking at the degree to which cognitive, emotion, and religious or moral language has been used to frame discussion of this issue on Twitter. Additionally, this study observed the relationship between these linguistic attributes in Twitter and retweeting behavior to understand the characteristics of the discourse that relate to the potential influence of the message. The results suggested that, within the sociopolitical discussion in social media, cognitive language was expressed the most often, particularly insight and causation language. The results also suggested that tweets containing cognitive language are more likely to be retweeted than those with emotion language. However, among the components of cognitive and emotion language, anger was the strongest specific predictor of retweeting behavior. The implications of the presence of linguistic attributes and their relationship to retweeting behavior and suggestions for future communication research within the context of social and political movements are discussed.
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Date Issued: 2016
Identifier: CFE0006386, ucf:51535
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006386

Title: Automatic Detection of Brain Functional Disorder Using Imaging Data.
Creator: Dey, Soumyabrata, Shah, Mubarak, Jha, Sumit, Hu, Haiyan, Weeks, Arthur, Rao, Ravishankar, University of Central Florida
Abstract / Description: Recently, Attention Deficit Hyperactive Disorder (ADHD) is getting a lot of attention mainly for two reasons. First, it is one of the most commonly found childhood behavioral disorders. Around 5-10% of the children all over the world are diagnosed with ADHD. Second, the root cause of the problem is still unknown and therefore no biological measure exists to diagnose ADHD. Instead, doctors need to diagnose it based on the clinical symptoms, such as inattention, impulsivity and hyperactivity,...
Show moreRecently, Attention Deficit Hyperactive Disorder (ADHD) is getting a lot of attention mainly for two reasons. First, it is one of the most commonly found childhood behavioral disorders. Around 5-10% of the children all over the world are diagnosed with ADHD. Second, the root cause of the problem is still unknown and therefore no biological measure exists to diagnose ADHD. Instead, doctors need to diagnose it based on the clinical symptoms, such as inattention, impulsivity and hyperactivity, which are all subjective.Functional Magnetic Resonance Imaging (fMRI) data has become a popular tool to understand the functioning of the brain such as identifying the brain regions responsible for different cognitive tasks or analyzing the statistical differences of the brain functioning between the diseased and control subjects. ADHD is also being studied using the fMRI data. In this dissertation we aim to solve the problem of automatic diagnosis of the ADHD subjects using their resting state fMRI (rs-fMRI) data.As a core step of our approach, we model the functions of a brain as a connectivity network, which is expected to capture the information about how synchronous different brain regions are in terms of their functional activities. The network is constructed by representing different brain regions as the nodes where any two nodes of the network are connected by an edge if the correlation of the activity patterns of the two nodes is higher than some threshold. The brain regions, represented as the nodes of the network, can be selected at different granularities e.g. single voxels or cluster of functionally homogeneous voxels. The topological differences of the constructed networks of the ADHD and control group of subjects are then exploited in the classification approach.We have developed a simple method employing the Bag-of-Words (BoW) framework for the classification of the ADHD subjects. We represent each node in the network by a 4-D feature vector: node degree and 3-D location. The 4-D vectors of all the network nodes of the training data are then grouped in a number of clusters using K-means; where each such cluster is termed as a word. Finally, each subject is represented by a histogram (bag) of such words. The Support Vector Machine (SVM) classifier is used for the detection of the ADHD subjects using their histogram representation. The method is able to achieve 64% classification accuracy.The above simple approach has several shortcomings. First, there is a loss of spatial information while constructing the histogram because it only counts the occurrences of words ignoring the spatial positions. Second, features from the whole brain are used for classification, but some of the brain regions may not contain any useful information and may only increase the feature dimensions and noise of the system. Third, in our study we used only one network feature, the degree of a node which measures the connectivity of the node, while other complex network features may be useful for solving the proposed problem.In order to address the above shortcomings, we hypothesize that only a subset of the nodes of the network possesses important information for the classification of the ADHD subjects. To identify the important nodes of the network we have developed a novel algorithm. The algorithm generates different random subset of nodes each time extracting the features from a subset to compute the feature vector and perform classification. The subsets are then ranked based on the classification accuracy and the occurrences of each node in the top ranked subsets are measured. Our algorithm selects the highly occurring nodes for the final classification. Furthermore, along with the node degree, we employ three more node features: network cycles, the varying distance degree and the edge weight sum. We concatenate the features of the selected nodes in a fixed order to preserve the relative spatial information. Experimental validation suggests that the use of the features from the nodes selected using our algorithm indeed help to improve the classification accuracy. Also, our finding is in concordance with the existing literature as the brain regions identified by our algorithms are independently found by many other studies on the ADHD. We achieved a classification accuracy of 69.59% using this approach. However, since this method represents each voxel as a node of the network which makes the number of nodes of the network several thousands. As a result, the network construction step becomes computationally very expensive. Another limitation of the approach is that the network features, which are computed for each node of the network, captures only the local structures while ignore the global structure of the network.Next, in order to capture the global structure of the networks, we use the Multi-Dimensional Scaling (MDS) technique to project all the subjects from an unknown network-space to a low dimensional space based on their inter-network distance measures. For the purpose of computing distance between two networks, we represent each node by a set of attributes such as the node degree, the average power, the physical location, the neighbor node degrees, and the average powers of the neighbor nodes. The nodes of the two networks are then mapped in such a way that for all pair of nodes, the sum of the attribute distances, which is the inter-network distance, is minimized. To reduce the network computation cost, we enforce that the maximum relevant information is preserved with minimum redundancy. To achieve this, the nodes of the network are constructed with clusters of highly active voxels while the activity levels of the voxels are measured based on the average power of their corresponding fMRI time-series. Our method shows promise as we achieve impressive classification accuracies (73.55%) on the ADHD-200 data set. Our results also reveal that the detection rates are higher when classification is performed separately on the male and female groups of subjects.So far, we have only used the fMRI data for solving the ADHD diagnosis problem. Finally, we investigated the answers of the following questions. Do the structural brain images contain useful information related to the ADHD diagnosis problem? Can the classification accuracy of the automatic diagnosis system be improved combining the information of the structural and functional brain data? Towards that end, we developed a new method to combine the information of structural and functional brain images in a late fusion framework. For structural data we input the gray matter (GM) brain images to a Convolutional Neural Network (CNN). The output of the CNN is a feature vector per subject which is used to train the SVM classifier. For the functional data we compute the average power of each voxel based on its fMRI time series. The average power of the fMRI time series of a voxel measures the activity level of the voxel. We found significant differences in the voxel power distribution patterns of the ADHD and control groups of subjects. The Local binary pattern (LBP) texture feature is used on the voxel power map to capture these differences. We achieved 74.23% accuracy using GM features, 77.30% using LBP features and 79.14% using combined information.In summary this dissertation demonstrated that the structural and functional brain imaging data are useful for the automatic detection of the ADHD subjects as we achieve impressive classification accuracies on the ADHD-200 data set. Our study also helps to identify the brain regions which are useful for ADHD subject classification. These findings can help in understanding the pathophysiology of the problem. Finally, we expect that our approaches will contribute towards the development of a biological measure for the diagnosis of the ADHD subjects.
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Date Issued: 2014
Identifier: CFE0005786, ucf:50060
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0005786

attribution (2)	+ -
attributions (2)	+ -
gender (2)	+ -
physical appearance (2)	+ -
Activists (1)	+ -

Anomaly Detection (1)	+ -
Attention Deficit Hyperactive Disorder (1)	+ -
Attribute (1)	+ -
Attributed Graph (1)	+ -
Attributes based network (1)	+ -
Bag of Words (1)	+ -
Batch Normalization (1)	+ -
Burial Attributes (1)	+ -
Categorical Datasets (1)	+ -
Cemeteries (1)	+ -
Cemetery (1)	+ -
Cognitive language (1)	+ -
Communication (1)	+ -
Convolutional Neural Network (1)	+ -
Convolutional Neural Networks (1)	+ -
Data Mining (1)	+ -
Deep Learning (1)	+ -
Distributed Datasets (1)	+ -
Emotional language (1)	+ -
Epitaph (1)	+ -
Ethnicity (1)	+ -
Florida History (1)	+ -
Florida destinations (1)	+ -
Footstone (1)	+ -
Framing theory (1)	+ -

ETD Collection (14)	+ -
Honors Collection (5)	+ -

University of Central Florida (19)	+ -
Renk, Kimberly (3)	+ -
Fritzsche, Barbara (2)	+ -
Oliveros, Arazais (2)	+ -
Paulson, Daniel (2)	+ -

Shah, Mubarak (2)	+ -
Sims, Valerie (2)	+ -
Sukthankar, Gita (2)	+ -
Ambrose, Maureen (1)	+ -
Boloni, Ladislau (1)	+ -
Burke, Shawn (1)	+ -
Carter, Shannon (1)	+ -
Chase, Diane (1)	+ -
Choi, Youngsoo (1)	+ -
Crossley, Craig (1)	+ -
Cunningham, Annelise (1)	+ -
Dey, Soumyabrata (1)	+ -
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Kang, Juhee (1)	+ -
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