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.
Results
Showing 1 to 20 of 154 for “"Multinomial logistic regression"”.
-
DEMOGRAPHIC DISPARITIES IN THE MANAGEMENT OF LOBULAR CARCINOMA IN SITU OF THE BREAST
… between race and type of treatment received, a multinomial logistic regression model was run including the interaction or product term of race*age. Similarly, to assess whether insurance type was an effect modifier of the association between race and type of treatment received, a multinomial …
-
Relationship between socioeconomic status and hunting/fishing license sales in Cook County, IL
… license sales and the other two indices. Linear regression and multinomial logistic regression were applied to the dataset respectively. Compared with linear regression, the multinomial logistic regression produced more accurate predictions, but there were still spatial factors not included in …
-
Examining the Impact of Human Resource Management (HRM) on Telework Participation Among US Federal Employees
… Federal Employee Viewpoint Survey (FEVS) through multinomial logistic regression. The results highlight that skills enhancement, promotional opportunities, and cooperative work environments significantly correlate with the likelihood of telework participation. Chapter 3, the second manuscript, …
-
Multicoil-HMM : improved prediction of coiled-coil oligomer state from sequence
… incorporates predictors deemed important by a multinomial logistic regression to distinguish between the dimer, trimer and non-coiled coil oligomerization states. The Multicoil-HMM algorithm shows significantly improved oligomer state prediction over a retrained Multicoil algorithm, which is …
-
Theoretical Antecedents of A New Model of Mental Health: Predictors of Well-Being and Psychopathology
… a child's current functioning. Results from multinomial logistic regression analyses showed that the proposed model was able to accurately classify children above and beyond chance. Furthermore, results from these analyses show that the predictive power of these variables varies across …
-
Finding One's Voice: Predicting Litigation Decision Making in a Class Action Sexual Harassment Lawsuit
… (""non-litigant"" sample; n = 465). Based on logistic regression, three variables were significant predictors of litigation initiation: organizational climate, PTSD symptomology, and primary appraisal (demoralization). Participants in Study Two (n = 492) were part of a two-year follow-up of …
-
Examining men’s disclosures, influences, and motivations for seeking mental health treatment
… these profiles were also examined using a multinomial logistic regression relating to men’s disclosure to seek therapy and the influence of a partner, parent, close friend, religious or spiritual leader, and medical doctor to seek therapy. A final multinomial logistic regression was …
-
Factors that influence household health care utilization patterns in two districts of Zambia : a rural - urban comparative evaluation
… utilization of both formal and informal care. A multinomial logistic regression model was used to analyse the data quantitatively in Stata® Version 8.0 software. Close to a quarter ofthe overall sample admitted to suffering an illness or injury in the 4-week period preceding the interview. …
-
The social reproduction of licensed professionals : a micro-class approach
… institutional arrangements. I run log-linear and multinomial logistic regression models on e datasets with detailed information at the level of unit occupations. Analyses indicate that children of licensed professionals are far more likely to inherit the occupation of their parents and that this …
-
Miles Matter: Demographics, Distance, and Decision-Making
… by a spatial interaction model), statistical (multinomial logistic regression model), and machine learning-based (graph neural networks and extreme gradient boosting) analysis, I explore the multifaceted nature of decision-making processes in different urban environments. The hidden patterns …
-
Engineering faculty views of teaching quality, accreditation, and institutional climate and how they influence teaching practices
… in higher education by Harvey and Greene. Multinomial logistic regression showed that views on quality teaching were associated with faculty teaching practices. The most common definition of teaching quality (held by 49 percent of participants) is associated with elitism and restricted …
-
The wages of fear: How gender, ideology, and symbolic threat influenced the voting behaviors of white southern women in the 2016 and 2020 presidential elections
… to further explore the role of symbolic threat. Multinomial logistic regression is used to model the relationship between the independent variables and the nominal dependent variable. Using models for politics, religiosity, demographics, threat, and all measures combined, the research reveals …
-
ESSAYS ON BANKING MERGERS AND ACQUISITIONS
… field and compares two different methodologies (multinomial logistic regression and machine learning method of XGBoost) on the prediction of bank failure or takeover. Chapter 1, titled FACTORS THAT INDICATE BANK TAKEOVER TARGET VS. BANK FAILURE, analyzes the mergers and acquisitions data for the …
-
PERSONALITY AND ETHICAL DECISION: AN EMPIRICAL INVESTIGATION OF PERSONALITY TRAITS AND MORAL PHILOSOPHY
… variable of Biological Sex were analyzed with multinomial logistic regression to predict a respondent's justification of moral philosophy across three different scenarios. Although none of the variables were significant predictors across all three scenarios, Machiavellianism significantly …
-
The Use of Violence in an Offense in a Sample of Convicted Rapists Within a Population Heterogeneity/State Dependence Framework
… relationship and job attributes. A multinomial logistic regression analysis was performed on three levels of the outcome: no violence, moderate violence or severe violence. The results support a mixed model. Theoretical and policy implications are discussed.
-
Discontinuance of Innovations: Social Network Characteristics, Product Attributes, and Adopter Traits Related to Post -Adoption Behavior
… product designed for home school families. Using multinomial logistic regression, 13 hypotheses were tested. Among an array of 24 variables, six predictors of post-adoption behavior were statistically significant: behavior of alters in the social network, attitudes of alters in the social network, …
-
Cape Town road traffic accident analysis: Utilising supervised learning techniques and discussing their effectiveness
… to a set of predictor variables. In this thesis, multinomial logistic regression, classification trees (CT), random forests (RF), gradient boosted machines (GBM) and artificial neural networks (ANN) are used to model the potentially non-linear relationships between accident-related factors and …
-
Exploring The Impact Of A Targeted Support Program For Underrepresented Minority Students At A Predominantly White Regional Institution
… study that used demographic analysis, linear regression, and multinomial logistic regression. The analyses included preentry characteristics and collegiate characteristics based on students’ institutional experiences. Preentry covariates included race and ethnicity, gender, residency, Pell …
-
Changes in Formal-Informal Caregiving in Elderly Stroke Survivors
… the HAS/AHEAD study spanning 1998 through 2002. Multinomial logistic regression was utilized to examine caregiving source cross-sectionally at each wave. Clustered multinomial logistic regression was used to examine relationships between predictor variables in the model and caregiving source …
-
Multilevel modelling of determinants of contraceptive method choice among women in South Africa
… Health Survey (SADHS). To analyse the dataset, a multinomial logistic regression model has been used, model parameters were estimated in SPSS for frequentist models. The Bayesian analyses with non informative priors were strengthened by the use of the state of the art Hamiltonian Monte Carlo …
Page 1 of 8