PhD/Doctoral Quantitative Methods Rubric Description This rubric is designed to evaluate doctoral students’ proficiency in quantitative research methods; ensuring they meet the rigorous academic standards required for advanced research. The rubric assesses key competencies; including research design; data collection; statistical analysis; interpretation of results; and ethical considerations. By providing clear criteria for evaluation; the rubric helps students understand expectations and refine their methodological skills. The rubric emphasizes the educational benefits of mastering quantitative methods; which are essential for producing high-quality; evidence-based research. Students learn to select appropriate research designs; ensuring their studies are valid; reliable; and generalizable. The rubric also evaluates their ability to apply advanced statistical techniques; such as regression analysis; structural equation modeling; or multilevel modeling; depending on their research needs. Mastery of these techniques enables students to analyze complex data sets and draw meaningful conclusions. Another critical component is the interpretation and communication of results. The rubric assesses whether students can accurately explain statistical findings in the context of their research questions; demonstrating both technical and conceptual understanding. Ethical considerations are also evaluated; ensuring students adhere to best practices in data management; confidentiality; and transparency. By using this rubric; faculty can provide structured feedback; guiding students toward methodological rigor and scholarly excellence. For students; the rubric serves as a roadmap for developing the analytical skills necessary for dissertation research and future academic or professional work. Ultimately; this tool fosters a deeper understanding of quantitative methods; preparing students to contribute original; methodologically sound research to their fields.
