Quantitative Research Methodology Course

All 3 days only R7,800.00 (Excl. VAT) per delegate

Mon 12th – Wed 14th Feb (3 days)

Mon 10th – Wed 12th Sept (3 days)

Johannesburg, South Africa

About this course

Researchers, including postgraduate students, need to have an indepth understanding of research methodologies from inception to completion, as well as reporting. They also need to be able to critically review publications in the context of their work.

The objective of this course is to provide participants with
comprehensive understanding of the methodologies for cutting edge research.

  • Understand research designs: types, strengths and weaknesses
  • Properly formulate research question and objectives, and align study objectives to study population and methodology
  • Understand statistical power and calculate sample size for crosssectional studies using Epi-Info software
  • Understand sampling techniques including simple random sampling, stratified sampling and cluster sampling. They will also learn design effect in cluster sampling and the need for adjusted standard errors
  • Discuss and ensure validity of their study by hypothesing about bias and confounding at design stage
  • Know the design and analytical methods for controlling for bias and confounding.
  • Theoretical concepts and practical considerations in research ethics.
  • Produce and interpret descriptive and inferential statistics.
  • Need to be able to write research protocols and reports.
  • Critically review research reports and scientific papers
Course Content

Day 1
Study designs: types, strengths and weaknesses
Research question(s) and literature review
Research hypothesis and SMART research objectives
Aligning study objectives to study population and methodology
Writing a research proposal
Group exercise: research question, objectives, design and proposal writing

Day 2
Sampling techniques: probabilistic and non-probabilistic
Statistical power and the need for proper sample size calculation
Calculate sample size for cross-sectional studies using Epi-Info software
Statistical independence, design effect in cluster sampling and the need robust standard errors and other approaches for clustered data
Data collection methods
Produce and interpret descriptive statistics
Group exercise: sample size calculation, sampling and descriptive statistics

Day 3
Produce and interpret inferential statistics
Research validity: precision, validity and reliability
Bias: in different research designs, controlling for bias at design stage
Confounding: concept and controlling for confounding at design
and analysis stage
Reporting research and responding to reviewers
Group exercise: statistics, bias and confounding
Group exercise: final report

This course has a significant amount of group exercises, including classroom and take home exercises, which culminate in each team presenting their final report on the day 3.

The course will teach participants the following:

  • An introduction to qualitative research
  • Strengths and weaknesses of qualitative research
  • Key data collection methods
  • Process of drafting data tools
  • Data synthesis
  • Data analysis and interpretation
  • Qualitative data quality
Who Should attend
  • Researchers
  • Biostatisticians
  • Data analysts
  • Research Analysts
  • HODs
  • Clinicians
  • Epidemiologists
  • Programme implementers
  • Programme managers
  • Market Researchers
  • Clinical and Medical researchers
  • Government Practitioners
  • Scientists

For more details about our services contact:

Rose More
eMail: rose.more@cesar-africa.com
Tel: +27 11 403 1411 / +27 72 509 1861

Price Includes
  • Course attendance
  • Full refreshments: lunch
  • Welcome tea
  • Two breaks for tea including pastries
  • Course lecture notes and training manual
  • Complimentary parking
  • Certificate of attendance