Eval Rev. 2026 Aug 9:193841X261476152. doi: 10.1177/0193841X261476152. Online ahead of print.
ABSTRACT
Scholarly publications in social sciences have increased sharply and continue to expand in the era of big data and artificial intelligence. However, comprehensive syntheses of quantitative research methods remain scarce, presenting significant challenges for early-career researchers and graduate students in selecting appropriate research methods for their studies. To address this gap, we propose a conceptual framework that provides a structured guide to quantitative techniques, thereby enhancing methodological literacy and supporting informed decision-making in academic publishing. By integrating applied statistics and operations research-spanning basic to advanced analytics along a static-dynamic continuum, this framework empowers novice scholars to navigate technique selection effectively and mitigates the dominance of a few methodological choices in economics, business, and management research.
PMID:42571994 | DOI:10.1177/0193841X261476152
