This paper examines the application of quantitative research methods in the social sciences, focusing on their strengths, criticisms, usefulness, and limitations within the Nigerian context. Quantitative research, grounded in positivism, employs numerical data and statistical analysis to test hypotheses, identify patterns, and generate generalizable findings. Its key advantages include objectivity, reliability, and the ability to analyze large‑scale samples, thereby supporting policy‑relevant inferences and cross‑regional comparisons. The study reviews four primary quantitative designs: experimental, correlational, descriptive (including surveys, case studies, and observations), and causal‑comparative/quasi‑experimental, highlighting how each contributes to understanding social phenomena. However, the paper also identifies notable weaknesses: oversimplification of complex human behavior, neglect of contextual and cultural nuances, measurement error, and a tendency to marginalize participants’ voices. Critics argue that treating social institutions as natural objects ignores interpretive processes and that reliance on standardized instruments can create an artificial sense of precision. To address these challenges, the paper recommends methodological pluralism (mixed‑methods and triangulation), cultural adaptation of instruments, capacity‑building for researchers, improved data quality infrastructure, and stronger stakeholder engagement. By integrating these strategies, quantitative research can enhance its validity, relevance, and impact on addressing Nigeria’s pressing social issues such as poverty, education, and health.
Tuluma et al. (Fri,) studied this question.