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 59 for “"Ordinal logistic regression"”.
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Identifying Risk Factors Related to Premature Birth Through Binary Logistic and Proportional Odds Ordinal Logistic Regression
… 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 Vital …
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Ordinal Logistic Regression Analysis of RFID Doorway Portal Performance as a Function of System Design Parameters
… the response observations were modeled under an ordinal logistic regression model. The selection of a categorical analysis method was due to the flaws associated with the initial design of the experiment, which resulted in high valued observations which would have skewed the results of a …
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Metal culvert renewal prioritization framework development: A study for Saskatchewan Highways
… This study evaluates three methods, namely, ordinal logistic regression, artificial neural network, and Fuzzy Inference System, for the prioritization of culverts for renewal. Specifically, the approach presented in this research is developed for metal pipe materials, which are extensively …
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Automatic prediction of solar flares and super geomagnetic storms
… based on these relationships a statistical ordinal logistic regression model is developed to predict the probability of solar flare occurrences in the next 24 hours; and finally the relationship between magnetic structures of CME source regions and geomagnetic storms, in particular, the …
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Are MBAs and Master's Degrees Worth It? A Discussion of Wages, Job Security and Business Cycles
… a way to avoid unemployment during a recession? Ordinal logistic regression analysis is conducted and finds that master's degrees and MBAs experience very different outcomes, with much higher returns for MBAs, although master's degrees do see higher earnings than bachelor's degrees. Job security …
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Social Capital's Dark Side and Patriarchy in India
… norms. This study employs multivariate logistic and ordinal logistic regression to model the relationship between four measures of women's autonomy and the social capital of households: 1) wearing a veil; 2) eating order during meals; 3) mobility; 4) and decision making. A male-first …
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Influence of Organizational, Operational, Financial AndEnvironmental Factors on Hospitals' Adoption of Computerized Physician Order Entry Systems for Improving Patient Safety: A Resource Dependence Approach
… statistical methods along with bivariate and ordinal logistic regression models are used to analyze the data. The models provided support for multiple hypotheses for both the adoption and early adoption decisions of study hospitals. The operational characteristics of ownership, in-house …
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Effects of an Online Meditation-Based Intervention Compared to an Attention-Controlled Group on Chronic Pain Outcome among Nurses: A Randomized Controlled Pilot Study
… nurses. Results Analysis of covariance and ordinal logistic regression indicated that the intervention did not have an effect on the outcomes collected. However, unsolicited self-reports indicated improvements in symptoms. Conclusion This study indicates improved outcomes per self-reports …
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Determinants of spouse/partner informal caregiving and its impacts on informal caregivers' physical, psychological health and economic well-being: evidence from the health and retirement study
… well-being. To answer Q1, I used a hierarchical ordinal logistic regression model to identify predisposing, enabling, and need factors from both care recipients and care recipients’ and their impacts on caregiving hours. For Q2, multivariate ordinal logistic regression or ordinal least square …
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The Relationship Between Student Engagement and the Development of Character in Mission Driven Faith-Based Colleges and Universities as Measured by the National Survey of Student Engagement
… Engagement (NSSE) were used. Descriptive and ordinal logistic regression was performed to examine whether a relationship between educationally purposeful activities, student characteristics, behaviors, and institutional type and the student development of a deepened sense of spirituality, a …
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Identification of Specific Learning Disabilities: Georgia School Psychologists' Perceptions
… SLD eligibility. Results were analyzed using ordinal logistic regression to determine if psychologists’ perceptions could be predicted based on various explanatory variables. Results revealed that a little over half of the respondents preferred assessment of cognitive processing deficits …
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Microfinance in rural Ghana : a view from below
… Using qualitative, cross-tabulations and ordinal logistic regression, the analysis found that the microfinance institutions studied essentially employ top-down approaches and that the perception of microfinance as non-paternalistic is not supported by this study. The mode of group …
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An Interactive Learning Framework for Understanding Infrastructure Health Monitoring and Leveraging Machine Learning for Safety Improvement
… Forest (RF), K-Nearest Neighbors (KNN), and Ordinal Logistic Regression (OLR), the study quantifies the potential injury reduction benefits of infrastructure improvements. These data-driven predictions are validated against established Crash Modification Factors (CMFs), offering a practical …
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Investigation of Trends and Predictive Effectiveness of Crash Severity Models
<p>This thesis describes analysis using ordinal logistic regression to uncover temporal patterns in the severity level (fatal, serious injury, minor injury, slight injury or no injury) for persons involved in highway crashes in Connecticut, focusing on the demographic split between senior travelers …
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Student engagement and student characteristics as predictors of student academic achievement at Illinois community colleges
… characteristics. Descriptive statistics and ordinal logistic regression were used to analyze the data.</p> <p>Although four of the five student engagement CCSSE benchmarks were statistically significant for both grade point average and total credit hour, only benchmark one, active and …
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The Relationship between In-School Physical Activity and Life Satisfaction, Self-Rated Health, Academic Performance, and Out-of-School Physical Activity: A Canadian Study
… a partial proportional odds model form of ordinal logistic regression was fitted in order to investigate the relationship between in-school physical activity and self-rated health, life satisfaction, academic performance, and out-of-school physical activity, while controlling for potential …
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Lifecourse Patterns of Productive Engagement among Rural and Urban Older Adults
… of the patterns were studied using multinomial logistic regression, and the associations of the patterns with longstanding rural-urban disparities in cognitive functioning and self-rated health were studied using multiple linear regression and ordinal logistic regression, respectively. This …
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An Analysis of the Argumentative Writing Skills of Academically Underprepared College Students
… argumentative essays. Descriptive statistics and ordinal logistic regression were used to analyze a total of 112 writing samples. It was found that on average, the argumentation in the essays was only partially developed and coherent; the essays contained a relatively moderate amount of functional …
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A comparative analysis of perceptions on land expropration by commercial and emerging farmers in Limpopo Province of South Africa
… among emerging farmers. Likert scale and ordinal logistic regression were used to analyse the data. Emerging farmers expressed the view that land should be expropriated. However, commercial farmers indicated that land should not be expropriated as this would lead to increased poverty and …
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