Writing the Problem Statement, Research Objectives and Questions
Learn to build a convincing research problem statement and formulate aligned general objectives, specific objectives, research questions and hypotheses.
Learn to build a convincing research problem statement and formulate aligned general objectives, specific objectives, research questions and hypotheses.
Learn how to choose and narrow a health research topic, assess feasibility with FINER, frame a question and write a clear title aligned with the study design.
Understand the importance of research to the health system—from clinical care and disease control to policy, equity, quality and resource allocation.
Types of health research explained: compare quantitative, qualitative and mixed-methods approaches, major study designs and their clinical and public-health applications.
An introduction to health research, its defining features, scientific process, variables, evidence, validity, reliability and essential research terminology.
SPSS for biostatistics: prepare a health data dictionary, clean clinical datasets, choose suitable statistical tests and interpret output with examples.
STATA for biostatistics: import and clean health data, run descriptive analyses, choose statistical tests and interpret epidemiological results.
Excel for biostatistics: learn to structure, validate, clean and summarise health data using formulas, PivotTables, worked examples and privacy safeguards.
Confidence intervals in health research explained: interpret 95% CIs, precision, null values, mean differences, ratios and clinical uncertainty.
Hypothesis testing in biostatistics explained: understand p-values, alpha, Type I and II errors, power, test choice and clinical examples.