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Title: RISK FACTORS IN WOMEN FOR POSTPARTUM DEPRESSION VERSUS POSTPARTUM PSYCHOSIS: AN INTEGRATIVE LITERATURE REVIEW.
Creator: Jamieson, Briana, Bushy, Angeline, University of Central Florida
Abstract / Description: The purpose of this literature review was to identify differentiating risk factors in women for postpartum depression and postpartum psychosis. By understanding differentiating risk factors health care professionals, and nurses in particular, can be alert to women who are at higher risk for postpartum depression or postpartum psychosis. This information allows for early nursing intervention and the development of appropriate treatment plans. Fifteen peer-reviewed, English language research...
Show moreThe purpose of this literature review was to identify differentiating risk factors in women for postpartum depression and postpartum psychosis. By understanding differentiating risk factors health care professionals, and nurses in particular, can be alert to women who are at higher risk for postpartum depression or postpartum psychosis. This information allows for early nursing intervention and the development of appropriate treatment plans. Fifteen peer-reviewed, English language research articles published between 2000 and 2015 were analyzed for the purpose of this literature review. Study results were inconclusive for the intention of this review, but do provide valuable information on independent risk factors for both disorders. A history of depression and significant life stressors are strong predictors for postpartum depression. Whereas a history of bipolar disorder is strongly associated with the development of postpartum psychosis. Further research is needed to examine the role of genetics in both postpartum depression and postpartum psychosis and to further evaluate risk factors for postpartum psychosis, specifically in women with no history of bipolar disorder. Moreover, additional research needs to be conducted within the United States due to a lack of generalizability of studies conducted in other nations.
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Date Issued: 2016
Identifier: CFH2000083, ucf:45562
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH2000083

Title: Curriculum-Embedded Reading Tests as Predictors of Success on Florida Comprehensive Assessment Test in Reading.
Creator: Johnson, Nicole, Wilson, Nancy, Zygouris-Coe, Vassiliki, Bai, Haiyan, University of Central Florida
Abstract / Description: ABSTRACTWith the passing of the No Child Left Behind legislation (2001), individual states have been required to administer standardized tests to measure students' academic achievement in several academic areas, including reading comprehension. Many schools are using curriculum embedded reading comprehension tests to assess students' progress in achieving grade level expectations before the administration of state standardized test. This study used de-identified student data on curriculum...
Show moreABSTRACTWith the passing of the No Child Left Behind legislation (2001), individual states have been required to administer standardized tests to measure students' academic achievement in several academic areas, including reading comprehension. Many schools are using curriculum embedded reading comprehension tests to assess students' progress in achieving grade level expectations before the administration of state standardized test. This study used de-identified student data on curriculum embedded reading comprehension tests and the state standardized reading test, FCAT 2.0 to assess the correlation between a specific curriculum-based measure and the FCAT 2.0. The researcher used Pearson and Spearman Correlation to assess the predictive relationship of the curriculum-embedded reading tests and FCAT 2.0 reading. Strong correlations were found between the two assessments which educators may find useful when planning and differentiating reading comprehension instruction throughout the school year.
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Date Issued: 2012
Identifier: CFE0004282, ucf:49522
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004282

Title: Patient Violence and Aggression in Non-Institutional Health Care Settings: Predictors of Reporting By Healthcare Providers.
Creator: Campbell, Colleen, Burg, Mary Ann, Gammonley, Denise, Steen, Julie, Potter, Roberto, University of Central Florida
Abstract / Description: This dissertation is conducted to examine the factors which contribute to the reporting of incidents of violence or aggression perpetrated by patients against health care providers in non-institutional health care settings. With a theoretical foundation grounded in community science, applying stress theory, broken windows theory and the theory of reasoned action, the following cross sectional study examines the contribution of characteristics of the healthcare provider, characteristics of the...
Show moreThis dissertation is conducted to examine the factors which contribute to the reporting of incidents of violence or aggression perpetrated by patients against health care providers in non-institutional health care settings. With a theoretical foundation grounded in community science, applying stress theory, broken windows theory and the theory of reasoned action, the following cross sectional study examines the contribution of characteristics of the healthcare provider, characteristics of the patient perpetrator and the form of violence to the providers' reporting or failing to report incidents. A self-administered survey was disseminated to a sample of non-institutional healthcare providers to test the research hypotheses about variables associated with reporting of incidents. The final sample size included 218 respondents, of which 213 met inclusion criteria for the study. 79.4% (N=169) of respondents had experienced at least one form of patient violence or aggression and were thus eligible for inclusion in the statistical analysis. The collected data was then analyzed through use of logistic regression to determine the contribution of each variable and the relative impact on the dependent variable of incident reporting. Findings indicated that there is a statistically significant contribution of the form of abuse, specifically verbal abuse in comparison to sexual abuse, to incident reporting. Specifically, the odds of reporting abuse are four times higher among individuals experiencing verbal abuse in contrast to providers subjected to patient-perpetrated sexual abuse.
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Date Issued: 2016
Identifier: CFE0006082, ucf:50953
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0006082

Title: PREDICTORS OF PRESENCE IN VIRTUAL REALITY.
Creator: Sollins, Brandon, Beidel , Deborah, University of Central Florida
Abstract / Description: The subjective experience of presence is considered to be important in the treatment of anxiety disorders using virtual reality. Presence can be defined as a psychological phenomenon through which one's cognitive processes are oriented towards another world. Most of the research on presence has focused on the roles of technological factors influencing presence, while the number of studies focusing on the personality and physiological predictors are far fewer. Thus, the present study examined...
Show moreThe subjective experience of presence is considered to be important in the treatment of anxiety disorders using virtual reality. Presence can be defined as a psychological phenomenon through which one's cognitive processes are oriented towards another world. Most of the research on presence has focused on the roles of technological factors influencing presence, while the number of studies focusing on the personality and physiological predictors are far fewer. Thus, the present study examined the relationship between various personality variables and presence, along with physiological correlates of presence when engaged in a virtual environment. The Presence Questionnaire, to determine their experience of presence, and a small battery of personality-related questionnaires were administered to 70 young adults who participated in 3 different virtual reality scenarios. Participants' physiological responses were recorded in the form of heart rate, galvanic skin levels, and galvanic skin responses were assessed as were urges to drink (craving). Data analysis showed that expectations, levels of craving, and drinking history played a significant role in the experience of presence.
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Date Issued: 2011
Identifier: CFH0003794, ucf:44754
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0003794

Title: Childhood Predictors in the Severity of Combat Related Posttraumatic Stress Disorder Among Veterans with Combat Related Exposure.
Creator: Bermes, Michael, Abel, Eileen, Burg, Mary, Steen, Julie, Johnson, Ann, University of Central Florida
Abstract / Description: Emerging research suggests that childhood adversities may increase both the risk and symptomology of posttraumatic stress disorder (PTSD) in our veteran population. Over 40% of our reintegrating military veterans return with significant mental health issues led by combat-related PTSD. PTSD impacts veterans in numerous areas including unemployment, increased criminal justice involvement, increased treatment costs, divorce, co-morbid mental illness, greater levels of domestic violence,...
Show moreEmerging research suggests that childhood adversities may increase both the risk and symptomology of posttraumatic stress disorder (PTSD) in our veteran population. Over 40% of our reintegrating military veterans return with significant mental health issues led by combat-related PTSD. PTSD impacts veterans in numerous areas including unemployment, increased criminal justice involvement, increased treatment costs, divorce, co-morbid mental illness, greater levels of domestic violence, homelessness, high college dropout rates, suicide, and long term health problems. The purpose of this study is to investigate the impact of childhood adversities (abuse, neglect, and poverty) upon the severity of combat-related PTSD in veteran populations. Specifically, the researcher examines the direct effects of: (1) childhood trauma; (2) childhood neglect; and (3) childhood poverty (as assessed based on socioeconomic status [SES]) upon the severity of combat-related PTSD. This study of student veterans (n=102) receiving services from a veteran service center at a major metropolitan university in Central Florida is a non-experimental, explanatory, retrospective survey design using structural equation modeling (SEM) to test the relationships among study variables. Findings strongly supported a relationship between childhood trauma and neglect and the severity of combat-related PTSD. Similarly, findings also supported that no relationship existed between childhood SES and the severity of combat-related PTSD. Both childhood trauma and neglect were significantly associated with combat-related PTSD at an even greater effect than that of combat exposure. SES was not found to be significant in the severity of combat-related PTSD. The findings suggest that preventive screening policies to reduce costs and severity of combat-related PTSD might be needed.
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Date Issued: 2013
Identifier: CFE0004815, ucf:49739
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0004815

Title: FLORIDA SCHOOL INDICATOR REPORT DATA AS PREDICTORS OF HIGH SCHOOL ADEQUATE YEARLY PROGRESS (AYP).
Creator: Carr, John, Bozeman, William, University of Central Florida
Abstract / Description: The focus of this research was to identify variables reported in the 2008-2009 Florida School Indicator Report (FSIR) that had a statistical impact, positive or negative, on the likelihood that a school would achieve Adequate Yearly Progress (AYP) in reading or mathematics using the logistic regression technique. This study analyzed four broad categories reported by the FSIR to include academic, school, student, and teacher characteristics. FSIR and AYP data was collected for 468 Florida high...
Show moreThe focus of this research was to identify variables reported in the 2008-2009 Florida School Indicator Report (FSIR) that had a statistical impact, positive or negative, on the likelihood that a school would achieve Adequate Yearly Progress (AYP) in reading or mathematics using the logistic regression technique. This study analyzed four broad categories reported by the FSIR to include academic, school, student, and teacher characteristics. FSIR and AYP data was collected for 468 Florida high schools that were categorized by the Florida Department of Education as presenting a comprehensive curriculum to grades 9-12 or grades 10-12. It was determined in this study that academic data associated with ACT results and the grade 11 FCAT Science were effective predictors of a school's academic health in reading and mathematics. Student absenteeism showed the greatest impact on a school obtaining AYP in reading while the percentage of students qualifying for free and disabled populations within a school showed the greatest impact on a school obtaining AYP in mathematics. Teachers teaching out of field were identified as having a negative influence on AYP in reading and mathematics while a teacher's experience was considered a positive influence on AYP in mathematics only. Further research is necessary to fully explore the use of logistic regression as a predictive tool at the state, school district, and school level.
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Date Issued: 2011
Identifier: CFE0003638, ucf:48848
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0003638

Title: COMPARING ASSESSMENT METHODS AS PREDICTORS OF STUDENT LEARNING IN UNDERGRADUATE MATHEMATICS.
Creator: Shorter, Nichole, Young, Cynthia, University of Central Florida
Abstract / Description: This experiment was designed to determine which assessment method: continuous assessment (in the form of daily in-class quizzes), cumulative assessment (in the form of online homework), or project-based learning, best predicts student learning (dependent upon posttest grades) in an undergraduate mathematics course. Participants included 117 university-level undergraduate freshmen enrolled in a course titled "Mathematics for Calculus". Initially, a multiple regression model was formulated to...
Show moreThis experiment was designed to determine which assessment method: continuous assessment (in the form of daily in-class quizzes), cumulative assessment (in the form of online homework), or project-based learning, best predicts student learning (dependent upon posttest grades) in an undergraduate mathematics course. Participants included 117 university-level undergraduate freshmen enrolled in a course titled "Mathematics for Calculus". Initially, a multiple regression model was formulated to model the relationship between the predictor variables (the continuous assessment, cumulative assessment, and project scores) versus the outcome variable (the posttest scores). However, due to the possibility of multicollinearity present between the cumulative assessment predictor variable and the continuous assessment predictor variable, a stepwise regression model was implemented and caused the cumulative assessment predictor variable to be forced out of the resulting model, based on the results of statistical significance and hypothesis testing. The finalized stepwise regression model included continuous assessment scores and project scores as predictor variables of students' posttest scores with a 99% confidence level. Results indicated that ultimately the continuous assessment scores best predicted students' posttest scores.
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Date Issued: 2008
Identifier: CFE0002432, ucf:47704
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0002432

Title: A THREE-DIMENSIONAL BAY/ESTUARY MODEL TO SIMULATE WATER QUALITY TRANSPORT.
Creator: Yu, Jing, Yeh, Gour-Tsyh, University of Central Florida
Abstract / Description: This thesis presents the development of a numerical water quality model using a general paradigm of reaction-based approaches. In a reaction-based approach, all conceptualized biogeochemical processes are transformed into a reaction network. Through the decomposition of species governing equations via Gauss-Jordan column reduction of the reaction network, (1) redundant fast reactions and irrelevant kinetic reactions are removed from the system, which alleviates the problem of unnecessary and...
Show moreThis thesis presents the development of a numerical water quality model using a general paradigm of reaction-based approaches. In a reaction-based approach, all conceptualized biogeochemical processes are transformed into a reaction network. Through the decomposition of species governing equations via Gauss-Jordan column reduction of the reaction network, (1) redundant fast reactions and irrelevant kinetic reactions are removed from the system, which alleviates the problem of unnecessary and erroneous formulation and parameterization of these reactions, and (2) fast reactions and slow reactions are decoupled, which enables robust numerical integrations. The system of species transport equations is transformed to reaction-extent transport equations, which is then approximated with two subsets: algebraic equations and kinetic-variables transport equations. As a result, the model alleviates the needs of using simple partitions for fast reactions. With the diagonalization strategy, it makes the inclusion of arbitrary number of fast and kinetic reactions relatively easy, and, more importantly, it enables the formulation and parameterization of kinetic reactions one by one. To demonstrate the general paradigm, QAUL2E was recasted in the mode of a reaction network. The model then was applied to the Loxahatchee estuary to study its response to a hypothetical biogeochemical loading from its surrounding drainage. Preliminary results indicated that the model can simulate four interacting biogeochemical processes: algae kinetics, nitrogen cycle, phosphorus cycle, and dissolved oxygen balance.
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Date Issued: 2006
Identifier: CFE0001372, ucf:46991
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0001372

Title: PREDICTING SCIENCE LITERACY AND SCIENCE APPRECIATION.
Creator: Hellmuth, Robert, Negy, Charles, University of Central Florida
Abstract / Description: Research has shown that the benefits of having a populace literate in science are great. Even if citizens are not literate in basic science, it is important that citizens still appreciate science and those with expertise in the field for many reasons. Recent research suggests that the United States (U.S.) has lower levels of science literacy than it should. Evidence may also suggest that many U.S. citizens are not appreciative of science. Overall, little research has been conducted on what...
Show moreResearch has shown that the benefits of having a populace literate in science are great. Even if citizens are not literate in basic science, it is important that citizens still appreciate science and those with expertise in the field for many reasons. Recent research suggests that the United States (U.S.) has lower levels of science literacy than it should. Evidence may also suggest that many U.S. citizens are not appreciative of science. Overall, little research has been conducted on what may predict science literacy and science appreciation which is the aim of this research. Specifically, I have examined socio-personal variables, beliefs, thought paradigms, and various demographic variables that may be predictive of science literacy and science appreciation. Results indicated that scriptural literalism, religiosity, and magical ideation were predictive of low levels of science literacy. In addition, predictors of low levels of science appreciation included scriptural literalism and magical ideation. Implications of the findings are discussed.
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Date Issued: 2014
Identifier: CFH0004685, ucf:45240
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFH0004685

Title: A NEW PARADIGM OF MODELING WATERSHED WATER QUALITY.
Creator: Zhang, Fan, Yeh, Gour-Tsyh, University of Central Florida
Abstract / Description: Accurate models to reliably predict sediment and chemical transport in watershed water systems enhance the ability of environmental scientists, engineers and decision makers to analyze the impact of contamination problems and to evaluate the efficacy of alternative remediation techniques and management strategies prior to incurring expense in the field. This dissertation presents the conceptual and mathematical development of a general numerical model simulating (1) sediment and reactive...
Show moreAccurate models to reliably predict sediment and chemical transport in watershed water systems enhance the ability of environmental scientists, engineers and decision makers to analyze the impact of contamination problems and to evaluate the efficacy of alternative remediation techniques and management strategies prior to incurring expense in the field. This dissertation presents the conceptual and mathematical development of a general numerical model simulating (1) sediment and reactive chemical transport in river/stream networks of watershed systems; (2) sediment and reactive chemical transport in overland shallow water of watershed systems; and (3) reactive chemical transport in three-dimensional subsurface systems. Through the decomposition of the system of species transport equations via Gauss-Jordan column reduction of the reaction network, fast reactions and slow reactions are decoupled, which enables robust numerical integrations. Species reactive transport equations are transformed into two sets: nonlinear algebraic equations representing equilibrium reactions and transport equations of kinetic-variables in terms of kinetically controlled reaction rates. As a result, the model uses kinetic-variables instead of biogeochemical species as primary dependent variables, which reduces the number of transport equations and simplifies reaction terms in these equations. For each time step, we first solve the advective-dispersive transport of kinetic-variables. We then solve the reactive chemical system node by node to yield concentrations of all species. In order to obtain accurate, efficient and robust computations, five numerical options are provided to solve the advective-dispersive transport equations; and three coupling strategies are given to deal with the reactive chemistry. Verification examples are compared with analytical solutions to demonstrate the numerical accuracy of the code and to emphasize the need of implementing various numerical options and coupling strategies to deal with different types of problems for different application circumstances. Validation examples are presented to evaluate the ability of the model to replicate behavior observed in real systems. Hypothetical examples with complex reaction networks are employed to demonstrate the design capability of the model to handle field-scale problems involving both kinetic and equilibrium reactions. The deficiency of current practices in the water quality modeling is discussed and potential improvements over current practices using this model are addressed.
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Date Issued: 2005
Identifier: CFE0000448, ucf:46405
Format: Document (PDF)
PURL: http://purl.flvc.org/ucf/fd/CFE0000448

Fast/ Equilibrium Reactions (2)	+ -
Finite Element Method (2)	+ -
Fully-implicit (2)	+ -
Kinetic-Variable (2)	+ -
Lagrangian-Eulerian approach (2)	+ -

Modeling (2)	+ -
Operator-splitting (2)	+ -
Predictor-corrector (2)	+ -
Reactive Chemical Transport (2)	+ -
Slow/Kinetic Reactions (2)	+ -
predictors (2)	+ -
Bay/Estuary Model (1)	+ -
Brandon Sollins (1)	+ -
Childhood Predictors (1)	+ -
Combat-Related PTSD (1)	+ -
Eutrophication (1)	+ -
Florida School Indicator Report (1)	+ -
Groundwater (1)	+ -
NCLB (1)	+ -
Overland Shallow Water (1)	+ -
Predictors of Presence in Virtual Reality (1)	+ -
Presence (1)	+ -
River/Stream Networks (1)	+ -
Sediemnt Transport (1)	+ -
Sediment Transport (1)	+ -
Subsurface Systems (1)	+ -
Virtual Reality (1)	+ -
Water Quality (1)	+ -
Watershed Systems (1)	+ -
adequate yearly progress (1)	+ -

ETD Collection (7)	+ -
Honors Collection (3)	+ -

English (9)	+ -
Engilsh (1)	+ -

University of Central Florida (10)	+ -
Steen, Julie (2)	+ -
Yeh, Gour-Tsyh (2)	+ -
Abel, Eileen (1)	+ -
Bai, Haiyan (1)	+ -

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