International Journal of Academic and Applied Research (IJAAR)   Year: 2024 | Volume: 8 | Issue: 3 | Page No.: 55-58 Robustness of Quantitative Research Methods in Mathematics Education Download PDF Jay Fie P. Luzano, PhD Abstract: This study explored the robustness of quantitative research methods in mathematics education citing the challenges and importance of developing theoretical, conceptual, and analytical models to enhance teaching and learning in mathematics. This review systematically examines existing literature to investigate the strengths and limitations of quantitative methods in evaluating educational interventions, identifying factors influencing student achievement, and gauging the effectiveness of various instructional approaches in mathematics education. Findings revealed five (5) emerging themes on the robustness of quantitative research methods in mathematics education, namely; (1) Standardized Testing and Assessment; (2) Large-Scale Data Analysis and Generalizability; (3) Objectivity and Control of Variables; (4) Statistical Power and Replication; and (5) Longitudinal Studies and Trend Analysis. Quantitative research methods are essential in mathematics education for standardized testing, data analysis, objectivity, and trend analysis, supporting student learning assessment and policy-making. Despite concerns about test-intervention alignment, researchers may persist in using these methods while addressing limitations, improving test-intervention coherence, enhancing variable control, and exploring innovative data analysis for better educational outcomes. Continuous efforts to refine quantitative research practices will advance understanding of teaching impacts on learning outcomes and drive improvements in educational programs for students.