Author: Ramesh Adhikari & Dr. Vipin Sharma
DOI Link: : https://doi.org/10.70798/Bijmrd/020800016
ABSTRACT: This study investigates the impact of survey design on quantitative research, specifically within educational contexts. It aims to assess how well surveys capture and analyze data on participants’ attitudes, experiences, and opinions regarding specific research phenomena. Using a descriptive, data-driven approach, the research highlights the need for well-constructed surveys with clear, unbiased questions that align with research goals to ensure data relevance and reliability. Effective survey design is essential for obtaining reliable data. It is useful for trend analysis, comparative studies, and predictive insights, especially in education, due to its cost-effectiveness and capacity to handle large samples. However, the study also notes limitations, including potential sampling and response biases, low response rates, and question clarity issues. To mitigate these challenges, the research advocates for rigorous survey design practices, such as pilot testing and validation, to enhance reliability and validity. Properly designed surveys thus offer valuable insights into educational trends.
Keywords: Attitudes, bias, data, design, method, reliability, surveys, validity
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