Quantitative Research Methodology Support
Quantitative methodology consulting for study design, variables, hypotheses, sampling, measurement, analysis planning, and defensible inference.
A quantitative methodology should connect the research question to a design, population, variables, measurements, sampling strategy, and analysis plan before data are collected or analysed. Tezyar helps researchers make those choices explicit and internally consistent so the methods chapter explains not only what will be done, but why the design can answer the research question.
Choose the Design From the Research Question
Experimental, quasi-experimental, cross-sectional, longitudinal, survey, and correlational designs support different kinds of inference. The design should follow from the question, timing, comparison structure, and practical constraints.
Define Variables and Operational Measures
Constructs need observable definitions. Outcomes, predictors, exposures, covariates, mediators, moderators, and repeated measures should be identified before an analysis plan is selected.
Sampling and Sample-Size Logic
The target population, sampling frame, recruitment strategy, inclusion criteria, design effects, expected attrition, and primary analysis all influence sample-size planning and generalizability.
Pre-Specify the Analysis
A useful methodology chapter maps each research question or hypothesis to the variables, descriptive summaries, statistical model, assumptions, and planned sensitivity checks.
Frequently Asked Questions
Can you help design a quantitative PhD methodology before data collection?
Yes. Early methodology planning is often the best time to align the research question, design, sampling, instruments, and analysis.
Do you choose statistical tests before the study design?
No. The analysis should follow the research question, outcome type, design, and data structure rather than drive them.
Related specialized topics
Qualitative methodology consulting for interviews, focus groups, thematic analysis, grounded theory, phenomenology, sampling, reflexivity, and rigor.
Mixed-methods consulting for convergent, explanatory sequential, exploratory sequential, integration, sampling, and joint interpretation.
Sampling strategy consulting for probability and non-probability sampling, target populations, recruitment, sample frames, and defensible generalization.
Support for questionnaires, interview guides, scale adaptation, pilot testing, reliability, validity, and measurement planning.
Methodology chapter review for thesis and dissertation projects, including design consistency, supervisor comments, sampling, instruments, and analysis alignment.