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1. The Impact and Interaction Effects of Prerequisite Course Type on Quantitative Research Methods Performance after Controlling for Mathematics Anxiety, Statistics Anxiety, and Task Presentation/Performance

Author

Dee William Bailey

Abstract

Purpose: The purpose of this quantitative, correlational study is to determine the impact of prerequisite course type on student final quantitative research methods final grade after controlling for mathematics anxiety, statistics anxiety, and task presentation/performance. The additional purpose is to determine if there are significant interaction effects for mathematics anxiety, statistics anxiety, and task presentation/performance on the relationship between prerequisite course type and student final quantitative research methods final grade. Theoretical Framework: The theoretical framework for this study is based on attentional control theory. Within attentional control theory, the goal-directed attentional system, which allows people to keep their attention on a particular goal, is impaired when people experience a threat-related anxiety. Additionally, when threat-related stimuli are encountered and anxiety is experienced, it not only impairs the goal-directed attentional system, but shifts (increases) control to the stimulus-driven attentional system. Methodology: Secondary data for eight quantitative research methods psychology courses was investigated to determine if there were significant relationships and interactions for: mathematics anxiety, statistics anxiety, task presentation/performance, and prerequisite course type with the dependent variable final course grade. Findings and Conclusion: This study found that there were no significant correlations or interactions between all four predictor variables and the dependent variable of final course grade. Recommendations: For further investigation, it is recommended that an interval/ratio dependent variable is used for the purpose of analyzing the data with a parametric statistical test. Also, it is recommended that a physiological measure of anxiety, such as cortisol levels, should be used in conjunction with self-report measures of anxiety. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2022

2. Vicarious Calibration of the Long Near Infrared Band: Cross-Sensor Differences in Sensitivity

Author

Sean William Bailey and Bryan Alden Franz

Subjects
Earth Resources and Remote Sensing
Abstract

Numerous assumptions and approximations are employed when translating satellite-derived radiance to surface remote sensing reflectance (RRS) for ocean color applications. Among these is the vicarious calibration coefficient (g) of the “long” near infrared band (NIRL) used for atmospheric correction. For this band, the prelaunch calibration has always been deemed sufficient [thus g(NIRL) = 1.00] as long as other bands are vicariously calibrated. Recent research, however, suggests that Moderate Resolution Imaging Spectroradiometer (MODIS)/Aqua RRS time series is quite sensitive to g(NIRL) (and associated vicarious gains in other bands). In this work, we assessed the sensitivity of Visible Infrared Imaging Radiometer Suite onboard the Suomi National Polar-orbiting Partnership satellite (VIIRS/SNPP) RRS to NIRL calibration and compared our results to previous MODIS/Aqua and Sea-viewing Wide Field-of-View Sensor onboard OrbView2 (SeaWiFS)/OrbView2 analysis. In doing so, we note that g(NIRL) sensitivities of mission-averaged RRS time series are lower for VIIRS and Sea-WiFS, relative to MODIS. At the scale of monthly climatologies (MCs), however, all sensors show prominent g(NIRL) sensitivity with that of SeaWiFS being the most substantial. These findings informed simulation analyses, whereby we identified signal-tonoise ratio (SNR) and radiant path geometry, as well as their interaction, as having notable impacts on g(NIRL) sensitivity. As such, g(NIRL) sensitivity is a necessary consideration for reflectance uncertainty budgets, especially for sensors with higher NIR SNR or particular prevailing radiant path geometries. Given the geometry components embedded within g(NIRL) sensitivity, such studies should be coupled with cross-sensor intercalibrations [e.g., using simultaneous same view (SSV) measurements] toward minimizing NIRL errors between satellite instruments, but such efforts will not completely remediate remaining cross-sensor biases in RRS. Index Terms—Moderate Resolution Imaging Spectroradiometer (MODIS)/Aqua, ocean color, ocean gyres, Sea-viewing Wide Field-of-View Sensor onboard OrbView2 (SeaWiFS), system vicarious calibration (SVC), Visible Infrared Imaging Radiometer Suite onboard the Suomi National Polar-orbiting Partnership satellite (VIIRS/SNPP).

Published
2022
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