Quantitative Research: Data Collection and Data Analysis for Beginner Researcher in Discussion

Authors

  • Delfia Herwanis State Islamic Institute of Takengon, Aceh, Indonesia Author
  • Mudfar Alianur State Islamic Institute of Takengon, Aceh, Indonesia Author
  • Maulida State Islamic Institute of Takengon, Aceh, Indonesia Author
  • Khairun Nasir State Islamic Institute of Lhokseumawe, Aceh, Indonesia Author

DOI:

https://doi.org/10.63142/educompassion.v1i3.88

Keywords:

Quantitative Design, Data Collection, Data Analysis, Beginner, Researcher

Abstract

This article is a comprehensive summary of the fundamental components of quantitative research design, specifically designed to cater to researchers who are new to the field. Quantitative research is a methodical and structured technique of investigation that utilizes numerical data and statistical analysis in order to address research inquiries and evaluate hypotheses. Although it may appear intimidating to individuals who are new to the field, this summary provides an overview of the essential stages and factors necessary to commence a profitable quantitative research endeavor. The writing commences by highlighting the significance of a precisely formulated research inquiry and hypothesis, underscoring the necessity for lucidity and precision. This emphasizes the relevance of doing a comprehensive literature evaluation to inform the design of the study and the value of choosing a suitable research methodology. For those who are new to the field, this frequently entails the utilization of surveys, experiments, or the examination of pre-existing datasets. The subsequent section delineates the essential components of study design, encompassing the formulation of a research plan, the creation of data gathering tools, and the utilization of sampling methodologies. The importance of ethical issues and the acquisition of informed permission from participants is underscored. The significance of conducting pilot tests on the research instruments to establish their validity and reliability is also emphasized in the research or study. In conclusion, this writing offers novice researchers a succinct outline of the fundamental elements comprising quantitative research design. This resource provides a valuable foundation for individuals initiating quantitative research endeavors, providing assistance in navigating the essential stages and factors involved in undertaking substantial and methodical research.

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Author Biographies

  • Delfia Herwanis, State Islamic Institute of Takengon, Aceh, Indonesia

    State Islamic Institute of Takengon, Aceh, Indonesia

  • Mudfar Alianur, State Islamic Institute of Takengon, Aceh, Indonesia

    State Islamic Institute of Takengon, Aceh, Indonesia

  • Maulida, State Islamic Institute of Takengon, Aceh, Indonesia

    State Islamic Institute of Takengon, Aceh, Indonesia

  • Khairun Nasir, State Islamic Institute of Lhokseumawe, Aceh, Indonesia

    State Islamic Institute of Lhokseumawe, Aceh, Indonesia

References

Al Tajir, G. K. (2018). Ethical treatment of participants in public health research. Journal of Public Health and Emergency, 2, 2–2. https://doi.org/10.21037/jphe.2017.12.04

Aspers, P., & Corte, U. (2019). What is Qualitative in Qualitative Research. Qualitative Sociology, 42(2), 139–160. https://doi.org/10.1007/s11133-019-9413-7

Baker, C. (2018). Quantitative research designs: Experimental, quasi-experimental, and descriptive. Nutrition Research: Concepts and Applications, 155–183.

Bhattacherjee, A. (2012). Social Science Research: Principles, Methods, and Practices. In Journal of Facilities Management (Vol. 15, Issue 1). https://doi.org/10.1108/jfm-07-2016-0032

Bowen, G. A. (2009). Análise Documental como Método de Investigação Qualitativa. Jornal de Investigação Qualitativa, 9(2), 27–28.

Chigbu, U. E. (2019). Visually hypothesising in scientific paper writing: Confirming and refuting qualitative research hypotheses using diagrams. Publications, 7(1). https://doi.org/10.3390/PUBLICATIONS7010022

Christian Maier, Jason Bennett Thatcher, Varun Grover, Y. K. D. (2023). Cross-sectional research: A critical perspective, use cases, and recommendations for IS research. International Journal of Information Management, 70. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2023.102625. (https://www.sciencedirect.com/science/article/pii/S0268401223000063)

Creswell, J. W. (2009). Research Design Qualitative, Quantitative, and Mixed-Methods Research. Microbe Magazine, 4(11), 485–485. https://doi.org/10.1128/microbe.4.485.1

Daniel, E. (2016). The Usefulness of Qualitative and Quantitative Approaches and Methods in Researching Problem-Solving Ability in Science Education Curriculum. Journal of Education and Practice, 7(15), 91–100. https://doi.org/2222-288X

Deaton, A., & Cartwright, N. (2018). Understanding and misunderstanding randomized controlled trials. Social Science and Medicine, 210(October 2017), 2–21. https://doi.org/10.1016/j.socscimed.2017.12.005

Einola, K., & Alvesson, M. (2021). Behind the Numbers: Questioning Questionnaires. Journal of Management Inquiry, 30(1), 102–114. https://doi.org/10.1177/1056492620938139

Hämäläinen, W., & Webb, G. I. (2019). A tutorial on statistically sound pattern discovery. Data Mining and Knowledge Discovery, 33(2), 325–377. https://doi.org/10.1007/s10618-018-0590-x

Hassan ZA, Schattner P, M. D. (2006). Doing A Pilot Study: Why Is It Essential? Malays Fam Physician, 1(2–3), 70.

Imenda, S. (2014). Is There a Conceptual Difference between Theoretical and Conceptual Frameworks? Journal of Social Sciences, 38(2), 185–195. https://doi.org/10.1080/09718923.2014.11893249

J, P. (2015). Understanding and Evaluating Survey Research. J Adv Pract Oncol, 6(2), 168.

Jones, I. (2010). Research Methods for Sports Studies. In Research Methods for Sports Studies. https://doi.org/10.4324/9781003195467

Joshi, A., Kale, S., Chandel, S., & Pal, D. (2015). Likert Scale: Explored and Explained. British Journal of Applied Science & Technology, 7(4), 396–403. https://doi.org/10.9734/bjast/2015/14975

Kaliyadan F, K. V. (2019). Types of Variables, Descriptive Statistics, and Sample Size. Indian Dermatol Online J, 10(1), 86. https://doi.org/10.4103/idoj.IDOJ_468_18.

Lehman, A., & Rourke, N. O. (2005). JMP for Basic Univariate and Multivariate Statistics A Step-by-Step Guide. Analysis, 146. http://books.google.com/books?id=1nlApuloc0AC&pgis=1

Li, L. (2012). Data quality and data cleaning in database applications. September, 242. https://pdfs.semanticscholar.org/f551/918d57f83f4092e291378f567b25bc614e29.pdf

Loeb, S., Dynarski, S., McFarland, D., Morris, P., Reardon, S., & Reber, S. (2017). Descriptive analysis in education: A guide for researchers. U.S. Department of Education, Institute of Education Sciences. National Center for Education Evaluation and Regional Assistance, March, 1–40. https://eric.ed.gov/?id=ED573325

Maguire, Moira., & Delahunt, B. (2014). Doing a Thematic Analysis: A Practical, Step-by-Step Guide for Learning and Teaching Scholars. IEEE Transactions on Industry Applications, 50(5), 3135–3140. https://doi.org/10.1109/TIA.2014.2306979

Main, M., & Ogaz, V. (2016). Common Statistical Tests and Interpretation in Nursing Research. International Journal of Faith Community Nursing, 2(3), 5.

McNamee, M. (2004). Philosophy and the Sciences of Exercise, Health and Sport. In Philosophy and the Sciences of Exercise, Health and Sport.

Mcnamee, M., Olivier, S., & Wainwright, P. (2007). .

Mohajan, H. K. (2017). Two Criteria for Good Measurements in Research: Validity and Reliability. Annals of Spiru Haret University. Economic Series, 17(4), 59–82. https://doi.org/10.26458/1746

MS, S. (2016). Methodology Series Module 3: Cross-sectional Studies. Indian J Dermatol, 61(3), 261. https://doi.org/10.4103/0019-5154.182410

Nowell, L. S., Norris, J. M., White, D. E., & Moules, N. J. (2017). Thematic Analysis: Striving to Meet the Trustworthiness Criteria. International Journal of Qualitative Methods, 16(1), 1–13. https://doi.org/10.1177/1609406917733847

Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babai, M. Z., Barrow, D. K., Ben Taieb, S., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., Browell, J., Carnevale, C., Castle, J. L., Cirillo, P., Clements, M. P., Cordeiro, C., Cyrino Oliveira, F. L., De Baets, S., Dokumentov, A., … Ziel, F. (2022). Forecasting: theory and practice. International Journal of Forecasting, 38(3), 705–871. https://doi.org/10.1016/j.ijforecast.2021.11.001

Rahman, M. M., Tabash, M. I., Salamzadeh, A., Abduli, S., & Rahaman, M. S. (2022). Sampling Techniques (Probability) for Quantitative Social Science Researchers: A Conceptual Guidelines with Examples. SEEU Review, 17(1), 42–51. https://doi.org/10.2478/seeur-2022-0023

Rogers, J., & Révész, A. (2019). Experimental and quasi-experimental designs. The Routledge Handbook of Research Methods in Applied Linguistics, 133–143. https://doi.org/10.4324/9780367824471-12

SE, I.-A. (2020). Replication and the Establishment of Scientific Truth. Front Psychol. https://doi.org/10.3389/fpsyg.2020.02183.

Sechrest, L., & Sidani, S. (1995). Quantitative and qualitative methods:. Is There an Alternative? Evaluation and Program Planning, 18(1), 77–87. https://doi.org/10.1016/0149-7189(94)00051-X

Singer, E., & Couper, M. P. (2017). Some Methodological Uses of Responses to Open Questions and Other Verbatim Comments in Quantitative Surveys. Methods, Data, Analyses, 11(2), 20. https://doi.org/10.12758/mda.2017.01

Stabina, R. (2019). Quantitative Data Graphics : Best Practices of Designing Tables and Graphs for Use in Not-for-Profit Evaluation Reports. Elements, 97204(June 2005).

Sutton, J., & Austin, Z. (2015). Qualitative reserch: data collection,analysis,and managment. The Canadian Journal of Hospital Pharmacy, 68(3), 226–231.

Taherdoost, H. (2021). Data Collection Methods and Tools for Research; A Step-by-Step Guide to Choose Data Collection Technique for Academic and Business Research Projects. International Journal of Academic Research in Management (IJARM), 10(1), 10–38. www.elvedit.com

TC, G. (2019). Basics of statistics for primary care research. Fam Med Community Health, 7(2). https://doi.org/10.1136/fmch-2018-000067

Uyanık, G. K., & Güler, N. (2013). A Study on Multiple Linear Regression Analysis. Procedia - Social and Behavioral Sciences, 106, 234–240. https://doi.org/10.1016/j.sbspro.2013.12.027

Wang, M., Beal, D. J., Chan, D., Newman, D. A., Vancouver, J. B., & Vandenberg, R. J. (2017). Longitudinal research: A panel discussion on conceptual issues, research design, and statistical techniques. Work, Aging and Retirement, 3(1), 1–24. https://doi.org/10.1093/workar/waw033

Watson, R. (2015). Quantitative research. In Nursing standard (Royal College of Nursing (Great Britain) : 1987) (Vol. 29, Issue 31). https://doi.org/10.7748/ns.29.31.44.e8681

Zull, C. (2016). GESIS Survey Guidelines Open-Ended Questions.

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Published

2025-02-15

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How to Cite

Herwanis, Delfia, Mudfar Alianur, Maulida, and Khairun Nasir. 2025. “Quantitative Research: Data Collection and Data Analysis for Beginner Researcher in Discussion”. Educompassion: Jurnal Integrasi Pendidikan Islam Dan Global 2 (1): 1-18. https://doi.org/10.63142/educompassion.v1i3.88.