Modeling the impact of large-scale solid mass transfers on the gravity field

The focus of this thesis is to explore and quantify the response of large-scale solid mass transfer events on satellite-based gravity observations. The gravity signature of large-scale solid mass transfers has not been deeply explored yet; mainly due to the lack of significant events during dedicated satellite gravity missions‘ lifespans. In light of the next generation of gravity missions, the feasibility of employing satellite gravity observations to detect submarine and surface mass transfers is of importance for geoscience (improves the understanding of geodynamic processes) and for geodesy (improves the understanding of the dynamic gravity field). The aim of this thesis is twofold and focuses on assessing the feasibility of using satellite gravity observations for detecting large-scale solid mass transfers and on modeling the impact on the gravity field caused by these events. A methodology that employs 3D forward modeling simulations and 2D wavelet multiresolution analysis is suggested to estimate the impact of solid mass transfers on satellite gravity observations. The gravity signature of various submarine and subaerial events that occurred in the past was estimated. Case studies were conducted to assess the sensitivity and resolvability required in order to observe gravity differences caused by solid mass transfers. Simulation studies were also employed in order to assess the expected contribution of the Next Generation of Gravity Missions for this application.

Proving My Competency One Test at a Time: Internationally Educated Nurses and the Canadian English Language Benchmark Assessment for Nurses

Abstract Professional language assessment is a new concept that has great potential to benefit Internationally Educated Professionals and the communities they serve. This thesis reports on a qualitative study that examined the responses of 16 Canadian English Language Benchmark Assessment for Nurses (CELBAN) test-takers on the topic of their perceptions of the CELBAN test-taking experience in Ontario in the winter of 2015. An Ontario organization involved in registering participants distributed an e-mail through their listserv. Thematic analyses of focus group and interview transcripts identified 7 themes from the data. These themes were used to inform conclusions to the following questions: (1) How do IENs characterize their assessment experience? (2) How do IENs describe the testing constructs measured by the CELBAN? (3) What, if any, potential sources of construct irrelevant variance (CIV) do the test-takers describe based on their assessment experience? (4) Do IENs feel that the CELBAN tasks provide a good reflection of the types of communicative tasks required of a nurse? Overall, participants reported positive experiences with the CELBAN as an assessment of their language skills, and noted some instances in which they felt some factors external to the assessment impacted their demonstration of their knowledge and skill. Lastly, some test-takers noted the challenge of completing the CELBAN where the types of communicative nursing tasks included in the assessment differed from nursing tasks typical of an IENs country or origin. The findings are discussed in relation to literature on high-stakes large-scale assessment and IEPs, and a set of recommendations are offered to future CELBAN administration. These recommendations include (1) the provision of a webpage listing all licensure requirements (2) monitoring of CELBAN location and dates in relation to the wider certification timeline for applicants (3) The provision of additional CELBAN preparatory materials (4) Minor changes to the CELBAN administrative protocols. Given that the CELBAN is a relatively new assessment format and its widespread use for high-stakes decisions (a component of nursing certification and licensure), research validating IEN-test-taker responses to construct representation and construct irrelevant variance is critical to our understanding of the role of competency testing for IENs.