Outcome 1
Translate quantitative questions into variables, hypotheses and an analysis-ready design.
Research Design · Premium downloadable PDF
Plan a quantitative study from constructs and hypotheses through measurement, sampling, analysis, assumptions and evidence-bounded conclusions.
Who this is for
Researchers planning surveys, experiments, observational studies or quantitative components of a thesis, dissertation or article.
The PDF course is written in English and designed for independent, self-paced study. It explains each decision, provides fictional illustrations, and includes workbook pages that you can print or complete separately against your own research.
The purchase does not include private document review, editing, data analysis, or live sessions. Those are available through the live group fee or a separately quoted one-to-one or institutional format.
Learning outcomes
Achievement depends on completing the lessons, using the worksheets, practising the decisions, and applying the process to your own work.
Translate quantitative questions into variables, hypotheses and an analysis-ready design.
Plan measurement, sampling and data collection around the target inference.
Select statistical analyses and diagnostics before examining results.
Report effect sizes, uncertainty, limitations and reproducible decisions responsibly.
PDF course syllabus
21 pages of original instruction, guided decision tools, printable worksheets, and completion checks.
Convert the research problem into measurable constructs, explicit relationships and testable expectations.
Plan observations that represent the intended constructs and population with known uncertainty.
Predefine data preparation, models, diagnostics and decision rules that answer the stated questions.
Report quantitative evidence with effect magnitude, uncertainty and limits rather than binary significance claims.
Apply this learning
Start with the free guide. If your own document, design, data, or journal requirements need individual review, use the matching support page to define the scope.
A practical checklist for preparing datasets, codebooks, transcripts, missing-data decisions and analysis files.
Read Data analysis readiness Project supportDesign a method that can genuinely answer the research question.Methodology support connects the question to a defensible design, evidence source, sampling strategy, measurement or interview process, analysis plan, and ethical approach.
Review Methodology supportIncluded in the PDF purchase
Course and training options
21-page focused PDF course + printable workbook with a personal-use licence and secure post-payment download.
Request PDF purchase4 live sessions delivered online across 2 weeks, with shared activities and included resources.
Request live enrolmentPrivate sessions adapted to your stage, discipline, objectives, and preferred timetable.
Request a quoteA private workshop or licensed learning package for a university, department, research team, or organisation.
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Course questions
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You may save and print a copy for your own learning. Redistribution, resale, public upload, classroom distribution, or inclusion in another commercial product is not permitted under the personal licence.
No. It teaches design and analysis logic that applies across packages. The SPSS course provides software-specific instruction.
It introduces model planning boundaries. AMOS and SmartPLS are covered in dedicated courses.
Continue this pathway
Start with the research problem
Tell us your degree level, research stage, exact requirement, and deadline.