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The Impact Of Technology Attitudes And Skills Of Rural Health Clinic Nurses On The Level Of Adoption Of Electronic Health Records In Mississippi, Jennifer Lynn Styron
The Impact Of Technology Attitudes And Skills Of Rural Health Clinic Nurses On The Level Of Adoption Of Electronic Health Records In Mississippi, Jennifer Lynn Styron
Dissertations
The evolution of health information technology continues to reform the delivery of efficient, safe, and equitable healthcare in the United States. One such example is the emergence of electronic health records (EHRs) and the discerning emphasis placed on using this technology in meaningful ways. While the integration of EHRs into daily practice impacts all healthcare professionals, nurses remain a prominent driver in the successful adoption and usage of these systems. It is therefore imperative to understand the impact of nurses’ technology attitudes and skills on the level of EHR adoption in Mississippi.
This quantitative study examined the technology attitudes and …
The Effects Of Race And Gender On The Satisfaction Levels Of Entering And Advanced Level Doctoral Students, Tiffany Nicole Labon
The Effects Of Race And Gender On The Satisfaction Levels Of Entering And Advanced Level Doctoral Students, Tiffany Nicole Labon
Dissertations
Doctoral education is an aspect of higher education that can be both rewarding and challenging for anyone who attempts the journey. Thelin (2004) stated many graduate students obtain the necessary skills that their individual fields of study require in their master’s and doctoral programs of study. Levine (2005), however, has found that the levels of satisfaction between what students expect and what they receive are at odds at many colleges and universities around the country. Thus, the need to assess graduate programs and services regarding satisfaction is warranted.
The purpose of this study was to compare the relationship of overall …
A Comparative Study Of Exact Versus Propensity Matching Techniques Using Monte Carlo Simulation, Mukaria J. J. Itang'ata
A Comparative Study Of Exact Versus Propensity Matching Techniques Using Monte Carlo Simulation, Mukaria J. J. Itang'ata
Dissertations
Often researchers face situations where comparative studies between two or more programs are necessary to make causal inferences for informed policy decision-making. Experimental designs employing randomization provide the strongest evidence for causal inferences. However, many pragmatic and ethical challenges may preclude the use of randomized designs. In such situations, subject matching provides an alternative design approach for conducting causal inference studies. This study examined various design conditions hypothesized to affect matching procedures’ bias recovery ability.
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