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 36 for “"Hierarchical Logistic Regression"”.
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The utility of hierarchical logistic regression for predicting repeated measures binary responses
This report will employ a hierarchical logistic regression model with mixed effects as an alternative to the traditional analysis of variance (ANOVA) approach that is often used when repeated observations are taken for each treatment. In the case of a binary response variable, ANOVA approaches …
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What do I want to be when I grow up? Exploring influencing factors on high school students’ agricultural career considerations
… then evaluated the data through a series of hierarchical logistic regression analyses. The trends in the data coupled with a review of previous work, provides insights to enable educators and agricultural advocates to build action-oriented solutions to place qualified persons in agricultural …
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A Multi-Level Examination of Influenza Vaccination Disparities from the 2009 Behavioral Risk Factor Surveillance System
… levels of analysis beginning with multivariate logistic regression at the individual level, least squares dummy variable modeling (LSDV), and hierarchical logistic regression modeling to incorporate aggregate data from the 50 United States. The results from the logistic regression show African …
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THE RELATIONSHIPS AMONG MENTAL HEALTH, MEDICINAL DRUGS, DRINKING AND DRIVING AND ROAD RAGE AND MOTOR VEHICLE COLLISIONS ON A REPRESENTATIVE SAMPLE OF ONTARIO ADULTS
… and Mental Health Monitor were used in a hierarchical logistic regression analysis. Demographic predictors, psychiatric distress, and mediating variables were entered in blocks into five models. Findings indicated the relationship between psychiatric distress and motor vehicle collisions …
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Preferences for Emotional Dependence and Togetherness in Romantic Relationships: The Impact of Cohort, Race, Gender, and Gender Ideology
… preference patterns found using binary hierarchical logistic regression analysis of data from the 1996 General Social Survey's (GSS) gender and emotions modules. Gender, gender ideology, cohort, and specific sociodemographic variables, such as education and marital status were found to …
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What are the odds? A preliminary test of a theoretical model of sports team effectiveness
… effectiveness were computed. Secondly, multiple logistic regression was used to examine the extent to which the antecedents predict winning while controlling for the other antecedents. Finally, hierarchical logistic regression was used to examine the extent to which the STE model can predict the …
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Intencijų išeiti į pensiją sveikatos ir psichosocialiniai veiksniai /
… used descriptive measure, correlation test and hierarchical logistic regression including moderation. The results showed that self-perceived health, depression and well-being predict retirement intentions. Emotional and physical demands and reward at work also predict retirement intentions. The …
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Developing, Refining, and Testing the Intersectional Model of Service Use: A Transgender and Nonbinary-Specific Model of Healthcare Access
… quantitatively tested in manuscript three using hierarchical logistic regression analyses. Results from manuscript three indicated that the inclusion of TNB-specific healthcare access factors of the IMSU significantly improved its ability to account for healthcare access variance. Specific …
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Optimizing Antipsychotic Use across Nursing Homes: Implications for Dementia Care
… variables and t-tests for continuous variables. Hierarchical logistic regression model was used to achieve all the study objectives. Results: For the objectives 1 and 2, a total of 9,611 dementia patients was identified residing in 2,548 nursing homes. Overall antipsychotic initiation rate was …
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Association Between Stress Mindset, Psychological Symptoms, and Psychosocial Risk in Liver Transplant Patients
… (GAD-7), and Perceived Stress Scale (PSS). Hierarchical logistic regression analyses indicated that stress mindset was significantly associated with psychosocial risk classification after accounting for diagnosis category and psychological symptom severity. Patients endorsing a more …
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A Model to Predict Pre-Hospital Endotracheal Intubation Success
… National and Comprehensive State models. Hierarchical logistic regression was used to evaluate what variables predicted pre-hospital ETI success. Results: Type of service requested, U.S. census region, EMS total call time, Center for Medicare and Medicaid Services service level, provider …
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Mitigating Risks for Youth in At-Risk Living Conditions Through School-Based Protective Factors
… the California Healthy Kids Survey. Results of a hierarchical logistic regression model showed supportive relationships between adults and students and high expectations may significantly and profoundly reduce suicidal ideation, depressive symptoms, and failing grades in students residing in …
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Employment as a Predictor of Substance Abuse Treatment Completion
… Results and Performance Act (GPRA) tool. A hierarchical logistic regression analysis was used to determine the relationship between the predictor variable of employment and the dichotomous dependent variable of treatment completion while controlling for variables of sex, criminal justice …
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Association of Alcohol Consumption with Verbal Memory and Visuospatial Memory in Older Adults: Multi-Center Study of Memory Impairment Clinics
… visuospatial memory impairment, respectively. Hierarchical logistic regression analysis was used to examine the association of drinking status and memory impairment. When the association between drinking status and memory impairment was analyzed, those who consumed alcohol moderately had lower …
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Gender-Specific Parent-Child Relationship Factors and Substance Use among At-Risk Adolescents
… association on substance use among adolescents. Hierarchical logistic regression was used to complete analysis using secondary data. The sample consisted of 166 adolescents who were involved in the juvenile justice system. Results showed that higher relationship quality with mothers was found to …
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Determinants of Nonrecovery Following Hip Fracture in Older Adults: a Chronic Disease Trajectory Analysis
… outcomes. The analysis consisted of a two-step hierarchical logistic regression model with the control variables of age, prefracture ambulation status, and prefracture cognitive status entered first and the variables of type of therapy program, frequency of therapy, number of therapy provider …
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Risk Perceptions, Past Vaccination, and Vaccine Acceptance for Seasonal and Outbreak (2009 H1N1) Influenzas Among a University Sample
… among 158 university members through multiple hierarchical logistic regression modeling of cross-sectional survey response data. Models were constructed for both seasonal and outbreak influenzas to determine if four risk perceptions and past uptake of the seasonal flu shot were associated with …
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Do South African mothers shake their babies? incidence and risk factors for infant abuse in Cape Town
… support at the time. The results from three hierarchical logistic regression analyses showed that (1) alcohol use, infant age, a lower knowledge of the dangers of shaking, inconsolable crying, and having thoughts of shaking, predicted shaking, (2) caregiver age, infant age, knowledge of the …
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The Impact of Resource Availability on Patterns of Discharge to Inpatient Rehabilitation after Stroke in Ontario, Canada
… adjusting for patient-level characteristics. Hierarchical logistic regression confirmed variability in referral patterns across the province, but mixed results in the association between resources and the adjusted probability of discharge to rehabilitation. Results from the second review were …
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They Who Persist: A Longitudinal Quantitative Case Study of a University Student Cohort
… were used to characterize the cohort, and hierarchical logistic regression analysis used to estimate a series of nested regression models that examined the year-to-year persistence of each student in the cohort. Results suggest that: demographic and pre-college preparation factors become …
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