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 25 for “"Causal inferences"”.
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Discovering hidden patterns in technology management phenomena: three essays on using data analytics for exploration of causal inferences
… the ability of these methods to generate causal inferences is still one of the fundamental questions that must be resolved before its mainstream incorporation into quantitative research in management. To answer the question -- of what represents the current data deluge and data analytics …
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Outdoor adventures, self-efficacy, and proactive work behaviors
… Study 2 used a repeated measures design to draw causal inferences. Both studies showed partial support for the proposed hypothesis.
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Empowering RCT with Multi-site Multi-source RWD: a Statistical Learning Perspective
… randomization, thereby establishing robust causal inferences in clinical research. However, the stringent protocols and limited sample sizes typical of RCTs can restrict statistical efficiency and the scope of inference. In contrast, real-world data (RWD), such as electronic health records …
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Rural Student Career Development: Examining Between-Group Differences in Self-Efficacy and Outcome Expectation
… Regression and path analysis were used to make causal inferences from the data. The mixed-method exploratory study utilized a convergent design where qualitative data was concurrently collected and analyzed to provide context to the quantitative findings. The findings show that while no …
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An Item Response Theory Approach to Causal Inference in the Presence of a Pre-intervention Assessment
This research develops a form of causal inference based on Item Response Theory (IRT) to combat bias that occurs when existing causal inference methods are used under certain scenarios. When a pre-test is administered, prior to a treatment decision, bias can occur in causal inferences about the …
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Causal Inference Beyond Estimating Average Treatment Effects
… questions are to understand and reveal the causal mechanisms from observational study data or experimental data. Over the past several decades, there has been a large number of developments to render causal inferences from observed data. Most developments are designed to estimate the mean …
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Essays on impact of information technology
… performance. In the second essay, we study the causal effects of digitizing work on information workers' time- use and performance at a large insurance firm. We make causal inferences and obtain unbiased estimates by exploiting a quasi-experiment: the phased introduction of Electronic Document …
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Illness representations, coping and psychosocial outcome in chronic pain
… of life. Due to the cross-sectional design, causal inferences cannot be made. However, the findings imply partial support for the CSM in a chronic pain population. Directions for future research are highlighted, as well as implications for psychotherapeutic interventions which could help …
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Mistaking the Forest for the Trees: The Mistreatment of Group-level Treatments in the Study of American Politics
… challenges in using observational data. Making causal inferences with observational data is difficult for numerous reasons. One reason is that one can never be sure that the estimate of interest is un-confounded by omitted variable bias (or, in causal terms, that a given treatment is ignorable …
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Causal Structure Learning through Double Machine Learning
Learning the causal structure of a system solely from observational data is a fundamental yet intricate task with numerous applications across various fields, including economics, earth sciences, biology, and medicine. This task is challenging due to several reasons: i) observational data alone, as …
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Attributions, affect, and distributive justice: toward an explanation of allocation preferences
… who felt that they are victims of injustice use causal inferences similar to those characteristically employed for ego defense. This hypothesis was evaluated in an experimental paradigm which induced feelings of injustice and attributional egotism. Undergraduate participants (N=153) were provided …
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Finite Mixture Model Specifications Accommodating Treatment Nonresponse in Experimental Research
For researchers exploring causal inferences with simple two group experimental designs, results are confounded when using common statistical methods and further are unsuitable in cases of treatment nonresponse. In signal processing, researchers have successfully extracted multiple signals from data …
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Interstate rivals’ intervention in third-party civil wars: The comparative case of Saudi Arabia and Iran in Yemen (2004-2018)
… war (2014-2018). To ensure the validity of my causal inferences I triangulate data from three sources: the development of a novel mediation and ceasefire dataset1 (1), semi-structured in-depth elite-interviews2 (2), and document reviews (3). This dissertation develops a mechanism-focused …
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The career pursuits of engineering students : inquiries into options, informedness, and intentions at the education-careers interface
… for jobs. The experiment allowed us to draw causal inferences about how jobs' attributes interact with students' characteristics to explain variance in job preferences. We discuss the experiment's implications for enhancing candidate-career matching and for mitigating undue attrition from the …
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The Influence of Multiple Risk Factors on WMSD Risk and Evaluation of Measurement Methods Used to Assess Risks
… have been associated with WMSD development, but causal inferences are not available due to lack of experimental designs. Because the responses, validity, and reliability of measured outcomes under multiple-exposure environments are not known, the current work analyzed the effects of multiple WMSD …
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Educational Facilities Planning: A Systems Model
… educational facility planning, and (3) formalize causal inferences between social, cultural, political, and economic mechanisms, educational facility planning, and educational facilities. The goal of this study was to determine the validity of the Systems Model for Planning of Educational …
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Organizational and group antecedents of workgroup innovativeness in a service industry
… cross-sectional designs: the inability to draw causal inferences. Longitudinal studies of the workgroup antecedents of service innovativeness are called for. Finally, the sample in this study was limited to one kind of service industry, the 4-5 star hotel industry, thus limiting …
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Essays on Propensity Score Methods for Causal Inference in Observational Studies
… different usages of propensity scores in drawing causal inferences in observational studies. </p><p>Chapter 1 talks about the general idea of causal inference as well as the concept of randomized experiments and observational studies. It introduces the three different projects and their …
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Essays in Islamic Banking, Institutional Quality, and Financial Development Outcomes
… endogeneity concerns and arrive at more credible causal inferences. The first essay studies the Islamic banking–institutional quality–financial inclusion linkages. The analysis exploits repeated cross-sectional data on nearly all countries covered by the World Bank’s Global Findex database over …
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The relationship between quality management and competitive advantage : an empirical study of the Egyptian hotel industry
… one specific point in time. As a result, while causal relationships can be inferred, they cannot be strictly proven. Causal inferences are stronger with longitudinal studies.
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