Investigação quantitativa: fundamentos, características e aplicações nas ciências sociais
DOI:
https://doi.org/10.51247/st.v8iS3.47Palavras-chave:
investigação quantitativa, metodologia, medição, análise estatística.Resumo
Este artigo abordou a importância da investigação quantitativa como abordagem fundamental para a geração de conhecimento e a tomada de decisão baseada na evidência. O seu papel em diversas áreas, incluindo a educação, a saúde, a administração pública e a psicologia, foi contextualizado, destacando-se a sua capacidade de medir variáveis, analisar relações e generalizar resultados. O principal objetivo foi descrever os princípios, métodos e exemplos da abordagem quantitativa, mostrando como esta permite a identificação de correlações, relações causais e padrões de comportamento de forma objetiva e replicável. A metodologia empregue consistiu numa revisão teórica da literatura especializada, complementada por exemplos ilustrativos que demonstrassem a aplicação da abordagem em estudos sobre o desempenho académico, satisfação no trabalho, políticas públicas, estudos epidemiológicos e análises comportamentais ou atitudinais. Destacou-se a utilização de instrumentos estruturados, amostras representativas e análise estatística como ferramentas essenciais para garantir a validade e fiabilidade dos resultados. Entre as principais conclusões, destacou-se que a investigação quantitativa oferece precisão, objetividade e replicabilidade, tornando-a útil para apoiar decisões e avaliar políticas e intervenções. No entanto, também foram identificadas limitações, como a rigidez dos instrumentos, a falta de profundidade interpretativa e a compreensão limitada do contexto. Por fim, concluiu-se que a integração de abordagens qualitativas fortaleceu a investigação, permitindo uma compreensão mais completa e contextualizada dos fenómenos estudados.
Downloads
Referências
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.
Downloads
Publicado
Edição
Secção
Licença
Direitos de Autor (c) 2025 Eudaldo Enrique Espinoza-Freire

Este trabalho encontra-se publicado com a Licença Internacional Creative Commons Atribuição-NãoComercial-CompartilhaIgual 4.0.














