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 99 for “"Multiple regression models"”.
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Multiple Regression Models of the Mechanics of the Acceleration Phase of Ice Skating
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1975.
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Self-evaluations and perceived evaluations of occupational prestige: a study of podiatrists
… are involved in the rating of one's profession. Multiple regression models were estimated to determine the most important predictors of podiatrists' self-evaluations and prestige interpretations of their profession. Among 12 demographic, job-related, and attitudinal measures, it was found that …
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A comparison of the performance of the FTSE South Africa Islamic Index to the market in South Africa
… to three proxies for the market using single and multiple regression models: (1) the All Share Index on the JSE in a single factor regression (2) the Resources Index and Financial/Industrial Index in a two factor model (3) a four factor model developed by Carhart (1997) that accounts for size, …
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Integrated Thermal and Daylight Performance Comparison of Single and Double Glass Skin Facade for Hot Climate Conditions
… façade system, data was collected to create multiple regression models, and then evaluate the double-skin façade's performance and compare it to a single-skin system in hot arid climate conditions.
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Effects of Anaerobic and Aerobic Digestion at Mesophilic and Thermophilic Temperatures on the Quantity of Carbapenem Resistance Genes in Wastewater Sludge
… the process, and it was analyzed by kinetic models. The absolute value of the first-order kinetic rate constants followed the order blaOXA-48 > blaGES > Int 1 > 16S rRNA during batch anaerobic digestion. Because gene quantification is time-consuming, costly and sensitive to contamination, …
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An analysis of surface water from an informal settlement, Langrug, Franschhoek: down a slippery slope
… settlement and NH₃-N, PO₄³⁻, DO, EC and TSS. Multiple regression models investigated six hypothetical land use changes scenarios and indicated that if informal settlement and built-up area doubled in size, there would be an increase in the concentration of NH₃-N by 83%, PO₄³⁻ by 85% and TSS by …
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Daily Stress and Physical Health: The Role of Intimacy and Conflict in Romantic Relationships
… and between-person differences. Hierarchical multiple regression models were used to examine between-person differences and hierarchical linear modeling was used to examine within-person differences across seven days of daily diary assessments. Participants reported about their experience of …
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The Association Between Soft Tissue Releases and Bony Resections Performed During Total Knee Arthroplasty and Patients' Pain and Satisfaction Postoperatively
… on 100 patients who had undergone a TKA. Using multiple regression models, we showed no association between degree of releases and satisfaction or pain. These results were limited by sample size such that we are unable to make definitive conclusions about the relationship between STRs and BRs …
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Social Support And Health Behaviors
… Examination Survey (2005-2006, NHANES III). Multiple regression models were used to explore such a correlation. The findings suggest that social support does not act the same across varying health behaviors. The findings also suggest that educational attainment was the consistent predictor of …
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Explaining the Gender Wage Gap in Rural and Urban China
… statistics, correlation, and stepwise multiple regression models are applied in analyzing the data. The results suggest that: (1) the gender wage gap is larger in rural areas than in urban areas; (2) education has a positive effect on wage, housework involvement has a negative impact on …
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Teacher Self-Efficacy, Teacher Attitudes about Reform Accountability Measures, and Teacher Burn-out
… school grades and performance pay, and burnout. Multiple regression models used to test the predictability of burnout from teacher self-efficacy and teachers’ attitudes about reform measures resulted in few significant predictors from the teacher attitude subscales. Possible implications are …
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An examination of time and industry effects on Strassmann's information productivity index : evidence from the TSE300 index industries
… time and interaction effects by running multiple regression models estimated using Ordinary Least Squares procedure. (Abstract shortened by UMI.)
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The Development of Models to Identify Relationships Between First Costs of Green Building Strategies and Technologies and Life Cycle Costs for Public Green Facilities
… the research question, this study developed multiple regression models to identify the relationships between GBSTs and their initial cost premiums, operating costs, and LCCs. The multiple regression models include dummy variables because this is a convenient way of applying a single …
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Effects of Foster Care Placements on the Mental Health of Abused Children in Florida
… environments were included. RESULTS: Results of multiple regression models indicated that a history of foster care plays a significant role in the association between children and adolescents who have witnessed domestic violence and internalizing disorders, externalizing disorders, and parenting …
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Evaluation of Market Performance of Initial Public Offerings (IPOs) and Its Determinants: Evidence from Australian IPOs
… performance, this study estimated binary and multiple regression models with offer, firm and market characteristics. Marginal probability analysis was also carried out to estimate the associated probability of each determinant that indicated a directional change in market performance.
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The role of personal and contextual variables in college students' academic achievement
… was self-efficacy for learning from the MSLQ. Multiple regression models accounted for 27--36% of the variance in test grades and 49--67% of the variance in expected final grades. Evaluation of strategy change over the course of a semester revealed that students do adjust their study strategies …
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Using Robust Standard Errors to Combine Multiple Regression Estimates with Meta-Analysis
<p>Combining multiple regression estimates with meta-analysis has continued to be a difficult task. A variety of methods have been proposed and used to combine multiple regression slope estimates with meta-analysis, however, most of these methods have serious methodological and practical …
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The determinants of capital structure and internal factors that influence the performance of commercial banks in Botswana
… literature. Quantitative approach, mainly multiple regression models and descriptive statistics, are used to find the relationship among the independent and dependent variables based on the five years data for the period 2012 to 2016. The dependent variables are the total leverage, …
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Faunal Diversity and Richness of Natural, Restored, Dam-Created, and Borrow-Pit Wetlands in the Prairie Pothole Region of Eastern South Dakota
… of each study wetland were used in step-wise multiple regression models to determine which factors best explained faunal richness and diversity. The best models, based on the bird communities, explained 27 and 44% of the variation in wetland diversity and richness, respectively. Engineering …
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An assessment of the relationship between Global Competitiveness Index scores and national GDP per capita growth rates
… competitiveness patterns, followed by stepwise multiple regression modelling on the total sample and the resulting clusters in order to assess impacts on adjusted R-squared values. Regressions were performed on stock and flow values for twelve country competitiveness variables. The results show …
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