A REVIEW OF RESEARCH PROCESS: DATA COLLECTION AND ANALYSIS

Main Article Content

Dr. Anjana Kumari

Abstract

Research is a highly specialized activity that entails much more than simply gathering data or writing a description. It entails gathering information in a specific manner, which is then thoroughly analyzed to provide answers to research questions and evaluate results. Regardless of the subject of investigation, data collecting is at the center of any research strategy. Any research project begins with a set of questions that must be answered. Data collection is the process of carefully acquiring the desired information with the least amount of distortion possible so that the analysis can produce responses that are believable and logical. Data collection tools refer to the devices/instruments used to collect data, such as a paper questionnaire or computer-assisted interviewing system. Case Studies, Checklists, Interviews, Observation sometimes, and Surveys or Questionnaires are all tools used to collect data.

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How to Cite
Dr. Anjana Kumari. (2022). A REVIEW OF RESEARCH PROCESS: DATA COLLECTION AND ANALYSIS. Galaxy International Interdisciplinary Research Journal, 10(5), 771–780. Retrieved from https://internationaljournals.co.in/index.php/giirj/article/view/1947
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References

Ahuja R. (2015). Research methods. New Delhi: Rawat Publications.

Bailey K. D. (2008). Methods of Social Research (4. Ed.). Free Press. Pg. 194.

Bloor M. Frankland, J. Thomas, M., &Robson, K. (2001).Focus groups in social research. London: Sage Publications.

Brewer J. D. (2000). Ethnography. Buckingham, MK: Open University Press.

Cargan L. (2007). Doing Social Research. Plymouth, UK: Rowman and Littlefield Publishers.

Gill, P., Stewart, K., Treasure, E., & Chadwick, B. (2008). Methods of data collection in qualitative research: interviews and focus groups. British Dental Journal, 204, 291-295.

Niraula SR. A review of the research process, data collection, and analysis. Insights Biol Med. 2019; 3: 001-006. https://doi.org/10.29328/journal.ibm.1001014.