Quantitative research: foundations, characteristics, and applications in the social sciences
DOI:
https://doi.org/10.51247/st.v8iS3.47Keywords:
quantitative research, methodology, measurement, statistical analysisAbstract
This article addressed the importance of quantitative research as a fundamental approach to knowledge generation and evidence-based decision-making. Its role in various fields, including education, health, public administration, and psychology, was contextualized, highlighting its ability to measure variables, analyze relationships, and generalize results. The main objective was to describe the principles, methods, and examples of the quantitative approach, showing how it allows for the identification of correlations, causal relationships, and behavioral patterns in an objective and replicable manner. The methodology employed consisted of a theoretical review of specialized literature, complemented by illustrative examples that demonstrated the application of the approach in studies on academic performance, job satisfaction, public policies, epidemiological studies, and behavioral or attitudinal analyses. Emphasis was placed on the use of structured instruments, representative samples, and statistical analysis as essential tools to ensure the validity and reliability of the results. Among the main conclusions, it was highlighted that quantitative research offered precision, objectivity, and replicability, making it useful for supporting decisions and evaluating policies and interventions. However, limitations were also identified, such as the rigidity of the instruments, the lack of interpretive depth, and a limited understanding of the context. Finally, it was concluded that the integration of qualitative approaches strengthened the research, allowing for a more complete and contextualized understanding of the phenomena studied.
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Aithal, A., & Aithal, P. S. (2020). Development and validation of survey questionnaire & experimental data–a systematical review-based statistical approach. International Journal of Management, Technology, and Social Sciences (IJMTS), 5(2), 233-251.
Alakwe, K. O. (2017). Positivism and Knowledge Inquiry: From Scientific Method to Media and Communication Researc. Specialty Journal of Humanities and Cultural Science, 2(3-2017), 38-46.
Aldaihani, F. M. F., Islam, M. A., & Aldaihani, D. K. (2025). Justifications for Adopting Mediation and Moderation Variables in Quantitative Research: What, Why and When to Use. Journal of International Business and Management, 8(3), 01-07.
Alford, S., & Teater, B. (2025). Quantitative research. In Handbook of research methods in social work (pp. 156-171). Edward Elgar Publishing.
Ali, I. M. (2024). A guide for positivist research paradigm: From philosophy to methodology. Idealogy Journal, 9(2).
Anguera, M. T., Blanco-Villaseñor, A., Losada, J. L., Sánchez-Algarra, P., & Onwuegbuzie, A. J. (2018). Revisiting the difference between mixed methods and multimethods: Is it all in the name?. Quality & quantity, 52(6), 2757-2770.
Asmus, E. P., & Radocy, R. E. (2017). Quantitative analysis. In Critical essays in music education (pp. 129-172). Routledge.
Atmanspacher, H., & Martin, M. (2019). Correlations and how to interpret them. Information, 10(9), 272.
Atmanspacher, H., & Martin, M. (2019). Correlations and how to interpret them. Information, 10(9), 272.
Bandola-Gill, J., Arthur, M., & Leng, R. I. (2023). What is co-production? Conceptualising and understanding co-production of knowledge and policy across different theoretical perspectives. Evidence & Policy, 19(2), 275-298.
Barsalou, M. (2024). Explanatory hypothesis generation during a root cause analysis: a multiple case study. International Journal of Productivity and Quality Management, 43(3), 371-384.
Bauer, G. R., Churchill, S. M., Mahendran, M., Walwyn, C., Lizotte, D., & Villa-Rueda, A. A. (2021). Intersectionality in quantitative research: A systematic review of its emergence and applications of theory and methods. SSM-population health, 14, 100798.
Bellemare, M. F., Masaki, T., & Pepinsky, T. B. (2017). Lagged explanatory variables and the estimation of causal effect. The Journal of Politics, 79(3), 949-963.
Berwick, M. (2017). When Is Correlation Causation?. JNCI: Journal of the National Cancer Institute, 109(8), djx087.
Berwick, M. (2017). When Is Correlation Causation?. JNCI: Journal of the National Cancer Institute, 109(8), djx087.
Blatchford, M. L., Mannaerts, C. M., & Zeng, Y. (2021). Determining representative sample size for validation of continuous, large continental remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 94, 102235.
Cerci, P. A., & Dumludag, D. (2019). Life satisfaction and job satisfaction among university faculty: The impact of working conditions, academic performance and relative income. Social Indicators Research, 144(2), 785-806.
Cohen, L., Manion, L., & Morrison, K. (2017). Validity and reliability. In Research methods in education (pp. 245-284). Routledge.
Coolican, H. (2017). Research methods and statistics in psychology. Psychology press.
de Guevara, B. B., & Kostić, R. (2018). Knowledge production in/about conflict and intervention: Finding ‘facts’, telling ‘truth’. In Knowledge and Expertise in International Interventions (pp. 1-20). Routledge.
de Souza Minayo, M. C. (2017). Limits and possibilities to combine quantitative and qualitative approaches. Qualitative versus Quantitative Research, 87-99.
Dicke, T., Marsh, H. W., Parker, P. D., Guo, J., Riley, P., & Waldeyer, J. (2020). Job satisfaction of teachers and their principals in relation to climate and student achievement. Journal of educational psychology, 112(5), 1061.
Djenontin, I. N. S., & Meadow, A. M. (2018). The art of co-production of knowledge in environmental sciences and management: lessons from international practice. Environmental management, 61(6), 885-903.
England, A. (2022). Quantitative and qualitative research methods. In Research for Medical Imaging and Radiation Sciences (pp. 71-96). Cham: Springer International Publishing.
Espinoza Freire, E. E. (2020). El problema, el objetivo, la hipótesis y las variables de la investigación. Portal de la Ciencia, 1(2), 1-71.
Espinoza Freire, E. E. (2020). La búsqueda de información científica en las bases de datos académicas. Revista Metropolitana de Ciencias Aplicadas, 3(1), 31-35.
Espinoza Freire, E. E. (2020). La investigación cualitativa, una herramienta ética en el ámbito pedagógico. Conrado, 16(75), 103-110.
Espinoza-Freire, E. E. (2022). Ética en la investigación científica. Revista Mexicana de Investigación e Intervención Educativa, 1(2), 35-43.
Espinoza-Freire, E. E. (2025). Estrategias de búsqueda de información en bases de datos científicas: Una guía práctica. Sociedad & Tecnología, 8(S2), 647-658.
Espinoza-Freire, E. E. (2025). PRISMA en la práctica: Guía y desafíos en la conducción de revisiones sistemáticas. Sociedad & Tecnología, 8(S2), 623-646.
Farhady, H. (2013). Quantitative methods. The encyclopedia of applied linguistics. Oxford: Blackwell. DOI: https://doi. org/10.1002/9781405198431. wbeal0989.
Fidler, F., & Wilcox, J. (2025). Reproducibility of scientific results. In E. N. Zalta & U. Nodelman (Eds.), The Stanford Encyclopedia of Philosophy (Winter 2025 Edition). Stanford University. https://plato.stanford.edu/archives/win2025/entries/scientific-reproducibility.
Fox, M. P., MacLehose, R. F., & Lash, T. L. (2021). Applying quantitative bias analysis to epidemiologic data (Vol. 10, pp. 978-3). New York: Springer.
Garver, M. S. (2019). Threats to the validity of logistics and supply chain management research. Journal of Business Logistics, 40(1), 30-43.
Garver, M. S. (2019). Threats to the validity of logistics and supply chain management research. Journal of Business Logistics, 40(1), 30-43.
Hernández Sampieri, R., Fernández Collado, C., & Baptista, P. (2022). Metodología de la investigación. McGraw-Hill.
Holtz, P., & Odağ, Ö. (2020). Popper was not a positivist: Why critical rationalism could be an epistemology for qualitative as well as quantitative social scientific research. Qualitative research in psychology, 17(4), 541-564.
Ikart, E. M. (2019). Survey questionnaire survey pretesting method: An evaluation of survey questionnaire via expert reviews technique. Asian Journal of Social Science Studies, 4(2), 1.
Islam, M. A., & Aldaihani, F. M. F. (2022). Justification for adopting qualitative research method, research approaches, sampling strategy, sample size, interview method, saturation, and data analysis. Journal of International Business and Management, 5(1), 01-11.
Jenkins-Smith, H. C., Ripberger, J. T., Copeland, G., Nowlin, M. C., Hughes, T., Fister, A. L., & Wehde, W. (2017). Quantitative research methods for political science, public policy and public administration (with applications in R).
Kim, H., Sefcik, J. S., & Bradway, C. (2017). Characteristics of qualitative descriptive studies: A systematic review. Research in nursing & health, 40(1), 23-42.
Levitt, H. M., Surace, F. I., Wu, M. B., Chapin, B., Hargrove, J. G., Herbitter, C., ... & Hochman, A. L. (2022). The meaning of scientific objectivity and subjectivity: From the perspective of methodologists. Psychological methods, 27(4), 589.
Liu, Y. (2022). Paradigmatic compatibility matters: A critical review of qualitative-quantitative debate in mixed methods research. Sage Open, 12(1), 21582440221079922.
Makel, M. C., Meyer, M. S., Simonsen, M. A., Roberts, A. M., & Plucker, J. A. (2022). Replication is relevant to qualitative research. Educational Research and Evaluation, 27(1-2), 215-219.
Marradi, A. (2022). Representative samples, random sampling. Cambio: rivista sulle trasformazioni sociali: 23, 1, 2022, 213-233.
Maxwell, J. A. (2017). The validity and reliability of research: A realist perspective. The BERA/SAGE handbook of educational research, 1, 116-140.
McBeath, A., & Bager-Charleson, S. (2020). Introduction: Considering qualitative, quantitative and mixed methods research. In Enjoying research in counselling and psychotherapy: Qualitative, quantitative and mixed methods research (pp. 1-12). Cham: Springer International Publishing.
McCusker, K., & Gunaydin, S. (2015). Research using qualitative, quantitative or mixed methods and choice based on the research. Perfusion, 30(7), 537-542.
Mela, K., Dumbari, S. M., & Ali, M. (2023). Validity and reliability of research instruments in public administration. Public Administration, 1(1), 1-14.
Mertler, C. A., Vannatta, R. A., & LaVenia, K. N. (2021). Advanced and multivariate statistical methods: Practical application and interpretation. Routledge.
Miller, D. (2018). Challenging trends in configuration research: Where are the configurations?. Strategic Organization, 16(4), 453-469.
MR, M. I. F., Anam, A. M., Wiratmoko, D., Yaacob, N. H., & Alwiyah, N. (2025). Positivism and Ibn Khaldun's thought: bridging objectivity and social dynamics. Harmoni Sosial: Jurnal Pendidikan IPS, 12(1), 26-36.
Mulisa, F. (2022). When does a researcher choose a quantitative, qualitative, or mixed research approach?. Interchange, 53(1), 113-131.
Nardi, P. M. (2018). Doing survey research: A guide to quantitative methods. Routledge.
Niaz, M. (2017). Understanding Objectivity in Research Reported in the Journal Science & Education (Springer). In Evolving Nature of Objectivity in the History of Science and its Implications for Science Education (pp. 37-77). Cham: Springer International Publishing.
Onikoyi, O. A. (2022). Job Satisfaction of Teachers and Student's Performance in Academics in Public Secondary Schools. Indonesian Journal of Educational Research and Technology, 2(2), 109-116.
Parra, J. A. B., Escobar, Á. E. S., & Martínez, A. P. P. (2024). Determining Factors in the Labor Insertion of Recent Graduates of the Business Administration Program of the University of Sucre: Analysis of Trends, Selection Criteria and Hiring Modalities in the Business Market. Journal of International Crisis and Risk Communication Research, 7(S1), 9.
Patten, M. (2016). Questionnaire research: A practical guide. routledge.
Prayag, G. (2018). Positivism: viewing tourism and hospitality knowledge objectively. In Handbook of Research Methods for Tourism and Hospitality Management (pp. 24-31). Edward Elgar Publishing.
Queiroz, T., Monteiro, C., Carvalho, L., & François, K. (2017). Interpretation of statistical data: The importance of affective expressions. Statistics Education Research Journal, 16(1), 163-180.
Rahman, M. S. (2016). The advantages and disadvantages of using qualitative and quantitative approaches and methods in language “testing and assessment” research: A literature review. Journal of education and learning, 6(1).
Rebollo, P. A., & Ábalos, E. M. (2023). Research Metodology/Recompilation. Editorial Autores de Argentina.
Riezler, S., & Hagmann, M. (2024). Validity, reliability, and significance: Empirical methods for NLP and data science. Springer Nature.
Robson, C. (2024). Real world research. John Wiley & Sons.
Saracostti, M., De Toro, X., Miranda, H., Miranda-Zapara, E., Lara, L., & Hernández, M. T. (2024, July). Associations between contextual factors and school engagement: a longitudinal study of profiles. In Frontiers in Education (Vol. 9, p. 1365789). Frontiers Media SA.
Sassower, R. (2017). Causality and correlation. The Wiley‐Blackwell Encyclopedia of Social Theory, 1-4.
Sassower, R. (2017). Causality and correlation. The Wiley‐Blackwell Encyclopedia of Social Theory, 1-4.
Savela, T. (2018). The advantages and disadvantages of quantitative methods in schoolscape research. Linguistics and Education, 44, 31-44.
Schloss, P. D. (2018). Identifying and overcoming threats to reproducibility, replicability, robustness, and generalizability in microbiome research. MBio, 9(3), 10-1128.
Shin, J. C., & Jung, J. (2014). Academics job satisfaction and job stress across countries in the changing academic environments. Higher education, 67(5), 603-620.
Steyn, E., Oberholzer, M., Mullarkey, M., & Buys, P. (2025). Methodological Justification. In Programmable Decisions for Business Organizations: An Actor-Network Approach to AI-Driven Innovation (pp. 19-29). Singapore: Springer Nature Singapore.
Sürücü, L., & Maslakci, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694-2726.
Taguchi, N. (2018). Description and explanation of pragmatic development: Quantitative, qualitative, and mixed methods research. System, 75, 23-32.
Taherdoost, H. (2022). What are different research approaches? Comprehensive review of qualitative, quantitative, and mixed method research, their applications, types, and limitations. Journal of Management Science & Engineering Research, 5(1), 53-63.
Taherdoost, H. (2022). What are different research approaches? Comprehensive review of qualitative, quantitative, and mixed method research, their applications, types, and limitations. Journal of Management Science & Engineering Research, 5(1), 53-63.
Testa, M. A., & Simonson, D. C. (2017). The use of questionnaires and surveys. In Clinical and translational science (pp. 207-226). Academic Press.
Tuval-Mashiach, R. (2021). Is replication relevant for qualitative research?. Qualitative Psychology, 8(3), 365.
Uher, J. (2022). Functions of units, scales and quantitative data: Fundamental differences in numerical traceability between sciences. Quality & Quantity, 56(4), 2519-2548.
Vinueza, B. D. C. B., Peñafiel, V. A. C., Osorio, S. E. T., & Zambrano, B. A. J. (2024). Gamificación: capacitación y popularidad; desafíos existentes en su implementación dentro del aula en instituciones educativas en las zonas rurales de Ecuador. Explorador Digital, 8(4), 32-45.
Weaver, K. F., Morales, V. C., Dunn, S. L., Godde, K., & Weaver, P. F. (2017). An introduction to statistical analysis in research: with applications in the biological and life sciences. John Wiley & Sons.
Zehnalová, J., & Kubátová, H. (2019). From a target population to representative samples of translations and translators. The Translator, 25(2), 87-100.
Zurba, M., Petriello, M. A., Madge, C., McCarney, P., Bishop, B., McBeth, S., ... & Bailey, M. (2022). Learning from knowledge co-production research and practice in the twenty-first century: global lessons and what they mean for collaborative research in Nunatsiavut. Sustainability Science, 17(2), 449-467.
Zyphur, M. J., & Pierides, D. C. (2017). Is quantitative research ethical? Tools for ethically practicing, evaluating, and using quantitative research. Journal of Business Ethics, 143(1), 1-16.
Zyphur, M. J., & Pierides, D. C. (2020). Making Quantitative Research Work: From Positivist Dogma to Actual Social Scientific Inquiry: MJ Zyphur, DC Pierides. Journal of Business Ethics, 167(1), 49-62.
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