Question

Surveys were administered to every 10 th household in a community. The purpose of the study was to examine the relationship between education level and knowledge on long COVID symptoms. Each person was asked to report age, sex, education, and questions that tested their knowledge on long COVID symptoms. Nearly 30% of the surveys were completed and returned. Researchers found that those that had completed higher education (completed at least a bachelors) were more likely to answer the questions that tested their knowledge on long COVID symptoms more accurately compared to those with lower education (had not completed college). 1. What research design was likely used to conduct this research? ( 3 points) a. Case report b. Case series c. Ecological Study d. Cross-sectional (descriptive) e. Cross-sectional (analytic) f. Case-control study g. Retrospective cohort study h. Prospective cohort study i. Randomized clinical trial 2. What is the likely impact of the 30% participation rate on the study's results or findings? (2 point)

Answer 1

The research in question likely used a Cross-sectional (analytic) design to analyze the relationship between education level and knowledge of long COVID symptoms. A 30% participation rate could introduce non-response bias, affecting the study's generalizability.

Step-by-step explanation:

The research design most likely used to conduct the research on the relationship between education level and knowledge on long COVID symptoms, where surveys were administered to every 10th household in a community, is e. Cross-sectional (analytic). This design allows researchers to observe and analyze a snapshot of the population at a single point in time to determine prevalence and associations between variables such as education level and knowledge of long COVID symptoms.

As for the impact of the 30% participation rate, it could introduce biases such as non-response bias, where those who chose to participate might differ significantly from those who did not. This can affect the generalizability of the results, making it less certain that the findings reflect the true relationship between education level and knowledge of long COVID symptoms in the broader population. If individuals with higher education are more likely to respond to surveys, this might overestimate the relation between education and knowledge about long COVID. Providing incentives for completing the survey or following up with non-respondents could help mitigate this issue.