Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 229 for “"binary logistic regression"”.
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COURT DECISIONS REGARDING GOLF-RELATED INJURIES: A QUANTITATIVE CONTENT ANALYSIS AND BINARY LOGISTIC REGRESSION
This study investigated specific injury patterns among injured plaintiffs on or near golf courses, the characteristics of golf injury lawsuits brought against golf courses, as well as the most influential factors that can affect a golf courses success in golf-injury lawsuits. For these purposes, …
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Rural poverty & social isolation: measuring the impact of a national initiative in Northern Ireland using binary logistic regression
… Rural Transport Partnerships (CRTPs) etc. Using binary logistic regression, this study measured the impact of MARA on the health and social isolation of rural NI, whilst also quantifying the relationship between both. Particular focus was placed among low-income individuals, the disabled elderly, …
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Identifying Risk Factors Related to Premature Birth Through Binary Logistic and Proportional Odds Ordinal Logistic Regression
… the age of five. This thesis will implement binary logistic regression and proportional odds ordinal logistic regression to predict different levels of premature birth and identify associated risk factors. The models will be built from the Center for Disease Control and Prevention's 2014 …
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The Influence of Higher Education on Promotional Outcomes in the New Jersey State Police
… participant group analyses were conducted using binary logistic regression modelling. The participant data examined in this study, which represents a total population sample, pertained to 3,515 enlisted members of the New Jersey State Police considered for promotion during one, or both, of the …
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The Role of Empathy, Anger Management and Normative Belief about Aggression in Bullying Among Urban, African American Middle School Children
This study used binary logistic regression analysis to examine the role of empathy,anger management, and normative beliefs about aggression on overt bullying, relational bullying, and prosocial behavior in urban African-American middle school children. Participants included 177 African-American …
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Developmental Mathematics: A Quantitative Investigation of Instructor Classification as Related to Student Success
… collected in this study were analyzed through a binary logistic regression model to determine whether an instructor’s employment classification, student gender, student race, and first-generation status could predict academic success in developmental math. The results of this study showed that a …
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A cross sectional analysis of SME failure within the industrial sector: focus on IDC funded investments
… The study adopted non-parametric tests and binary logistic regression methods. The final data set included 50 failures covering the calendar years July 2009 and June 2012, and 50 going concerns listed in the IDC database on 30 June 2012. The dataset was limited to industrial sector firms …
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Showup identifications: the effects of presence of stolen property and suspect’s denial on identification performance
… silence) between-subjects factorial design. Binary logistic regression analysis indicated that both the target and stolen property, independently, and significantly predicted the accuracy of identification decisions. Surprisingly, the presence of stolen property facilitated more accurate …
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The Relationship of Interactive Instructional Technology-Rich Classrooms to High-Stakes Reading, Math and Science Test Results for Fifth Grade Students
… at the fifth grade level. Through the use of a binary logistic regression model, a statistically significant relationship was noted between students having access to this technology and passing the math and science tests. No such relationship was established for the reading test, however.
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Low-Fare Flights Across the Atlantic: Impact of Low-Cost, Long-Haul, Trans-Atlantic Flights on Passenger Choice of Carrier
… Flight Schedule, along with a variable, Airfare. Binary logistic regression was used to determine the variables/factors that affected passenger choice of LCLH or FSC. Younger passengers preferred LCLH carriers, whereas older passengers preferred FSCs. Airfare was the most important predictor of …
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Adherence to radiation therapy among cervical cancer patients at cancer diseases hospital in Lusaka, Zambia.
… Data was entered and analyzed using SPSS, the binary logistic regression was used to predict levels of adherence to treatment as well as to identify factors associated with adherence to RT among cervical cancer patients. Results: The findings showed that, 93% of the participants adhered to …
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Adherence to radiation therapy among cervical cancer patients at cancer diseases hospital in Lusaka, Zambia.
… Data was entered and analyzed using SPSS, the binary logistic regression was used to predict levels of adherence to treatment as well as to identify factors associated with adherence to RT among cervical cancer patients. Results: The findings showed that, 93% of the participants adhered to …
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Primary care patients’ preferred roles in treatment decision-making in an era of increased health information
… scores between shared and passive patients. A binary logistic regression was computed to see whether trust in physician and perceived health information literacy could predict patients’ preferred roles. Thematic analysis was done for qualitative interviews. Results: The results of this research …
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Factors Contributing to Child Malnutrition in the Informal Settlement of Inanda Area, eThekwini Municipality.
… descriptive and inferential statistics. A binary logistic regression model was used to identify factors that influence the nutritional status of children. This study revealed high levels of unemployment and illiteracy among child caregivers. The HFIAS analysis showed that more child …
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Identifying factors that predict student success in a community college online distance learning course.
… test, Pearson correlation, phi coefficient, and binary logistic regression. Variables in each factor were entered sequentially in a block using separate binary logistic regression models. Statistically significant variables were course load, financial stability, prior learning experiences, time …
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Pre-slaughter assessment and selection in commercial beef cattle in relation to final carcase classification
… provide farmers with an objective tool using a binary logistic regression model, to combine fat and morphometric measurements taken from live cattle, in order to help predict which cattle are most likely to achieve a desired carcase classification and therefore most suitable for slaughter. …
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Examining the factors impacting small and medium enterprises (SMEs) in accessing development debt finance in the kingdom of Eswatini
… an empirical analysis was done using a binary logistic regression analysis to assess credit rationing factors preventing SMEs in the Kingdom of Eswatini to access DFIs loans for their growth and development. Thus, the objectives of the study are to examine the relationships between …
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Salience and congregational growth : revisiting the strictness thesis.
… growth when it addresses salient issues. Using binary logistic regression to analyze data from the 2000 Faith Communities Today survey, I find that, while overall strictness continues to be positively associated with congregational growth, only prohibitions that are salient within a religious …
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Premature removal of Jadelle implant among women of childbearing age in Ndola district, Zambia.
… variable. Significance level was set at 0.05 and Binary logistic regression model was used as it adjusts for confounders. The findings showed that, majority (71.6%) of the respondents had Jadelle removed before the end of five-year period. Binary logistic regression analysis indicated; that the …
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