Quantitative Research Design & Statistical Inference for Peer-Reviewed Publication

About this course

What this course covers

Methodological rigor is the principal criterion by which reviewers evaluate quantitative manuscripts, yet many authors reach the writing stage without defensible design decisions. This course takes a publication-forward approach to quantitative research design — from conceptual framework through sampling, instrumentation, data collection, statistical analysis, and results reporting — with emphasis on articulating design decisions in the language that satisfies Scopus and ISI-indexed reviewers. Learning outcomes • Construct a conceptual/theoretical framework connecting variables, hypotheses, and disciplinary theory • Select an appropriate quantitative design with written justification • Apply sampling strategies with justified sample-size calculations using G*Power • Execute and interpret parametric and non-parametric analyses using SPSS, R, or Stata • Report findings per APA 7 and journal conventions (CONSORT, STROBE, TREND) • Evaluate internal and external validity and pre-empt threats in the manuscript Assessment & deliverables A research-design proposal with conceptual framework, sampling plan, and power calculation; a statistical-analysis exercise on a provided dataset; a draft methodology chapter (3,500 words).

What you’ll learn

Outcomes you can put to work

Curriculum

• 01

  Module 1 — Conceptual Foundations of Quantitative Inquiry

  0 lessons

  Positivism, post-positivism, and critical realism and their design implications; distinguishing concepts from constructs, operationalizing variables, and developing measurable directional hypotheses.

• 02

  Module 2 — Research Design & Sampling

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• 03

  Module 3 — Instrumentation & Data Collection

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• 04

  Module 4 — Statistical Analysis & Interpretation

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• 05

  Module 5 — Reporting, Transparency & Publication

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