NO AI !!!!!! SCHOOL CHECKS AND WILL NOT ACCEPT
The objective of this assignment is to apply the concepts learned about quantitative and qualitative research methods to evaluate real-world surveys. You will collect various types of surveys from different sources (use the receipts at fast food restaurants or stores, healthcare follow-up surveys, customer service surveys, market survey, etc.) and analyze them using appropriate quantitative and qualitative techniques.
Instructions:
Select a minimum of three different types of real-world surveys. These surveys should cover diverse areas such as customer service, market survey, healthcare follow-ups, etc. Ensure that both quantitative and qualitative questions are part of at least one of your surveys.
Evaluate each selected survey both quantitative and qualitative methods based on the following criteria:
Quantitative Analysis:
Identify and explain the primary elements of the quantitative method section in each survey.
Assess the survey design, sampling procedures, data collection methods.
Based on what you know about the survey, discuss how the data could be analyzed and discuss any concerns with the validity of the quantitative findings and potential biases.
Qualitative Analysis:
Identify the basic characteristics of the qualitative data collected in each survey.
Evaluate the study design, data collection procedures, sample sizes, ethical considerations, and data analysis techniques.
Based on what you know about the survey, discuss how the data could be analyzed and discuss any concerns with the validity of the quantitative findings and potential biases.
Write a comprehensive report that includes the following sections:
Introduction
Quantitative Analysis: Present the findings of the quantitative analysis for each survey, including a discussion of the strengths and weaknesses of the data analysis techniques employed.
Qualitative Analysis: Present the findings of the qualitative analysis for each survey, including a discussion of the strengths and weaknesses of the data analysis techniques employed.
Comparison and Conclusion: Compare the data analysis techniques used in quantitative and qualitative approaches, highlighting their strengths and weaknesses. Discuss how researchers can ensure rigor and trustworthiness in their data analysis processes across different research paradigms. Conclude by reflecting on your preferred approach for data analysis.
