RESEARCH DESIGN AND PROCEDURES Clause Samples
RESEARCH DESIGN AND PROCEDURES. The purpose of this thesis is to understand the access and satisfaction of pregnant persons with the telehealth perinatal services they received in Georgia during the COVID-19 pandemic, and if this differed based on rural or urban location. The thesis also aims to understand if perceived willingness to use telehealth services in the future differs between rural and urban Georgia perinatal care patients during the pandemic. Lastly, it aims to explore if there are any themes around the differing perceived satisfaction and future willingness of telehealth care in this population. The other graduate research assistant and I created the quantitative screener mentioned above. Then, we created a consent form as well as in-depth interview guides. The in- depth interviews included quantitative scale questions at the end, which allow me to determine the scale to which the interview participants are satisfied and willing to use telehealth in the future. Additionally, the qualitative narrative questions allow me to see if there are any themes that emerge in the difference in satisfaction and willingness with telehealth that could be attributed to geographical location. The screener and in-depth interview guides collect data on the patients to understand robustly their willingness and satisfaction both described as well as quantified. All the data collection tools were approved by Emory Institutional Review Board (IRB) for the study.
RESEARCH DESIGN AND PROCEDURES. This project focuses on the missing data analysis investigation of two retrospective cohort studies;17,18 consequently, it is retrospective in nature. The original findings of the two retrospective studies used complete-case analysis which will be labeled as the control group. Results from the missing data analysis will be categorized as the experimental group. Missing data mechanism for MCAR will be tested using Little’s test;23 however, this is not a confirmatory test for non-MCAR mechanism. There are no statistical tests to distinguish between MCAR/MAR and NMAR. Therefore, for the purpose of this project, MAR will be assumed in order to fulfill the assumptions of multiple imputation.
