Designing your Research Project

1. Designing your Research Project Ivan J Perry Department of Epidemiology & Public Health University College Cor

2. Learning objectives • Understand the nature of science, with particular reference to the core concept of measurement of causes and effects • Explain the concept of hypothesis testing in quantitative research and understand the need to specify hypotheses in terms of measurement • Understand that epidemiological methods provide a conceptual framework for the conduct of clinical and population based research. • Understand the need to address bias,confounding and chance in designing your research project. • Understand the importance of sampling and the concept of target populations, study populations and study samples • List the major elements to be addressed in drafting a research protocol

3. Scenario It is suggested that occupational exposure to volatile anaesthetic agents causes depression. You wish to test this hypothesis.

4. Science Seeking to understand the world by a process of observation or experimentation Measurement - core activity Measurement of causes and effects or exposures (gene and environment) and disease To test hypothesis relating cause to effect Hypothesis must be testable/capable of being disproved or refuted

5. Research Method In the late eighteenth century, Antoine Lavoisier, introduced the scientific approach to problem solving: Theory Results Hypothesis Interpretation Observations or Experiment

6. Designing & Planning A Quantitative Research Project Question or hypothesis:must be clearly stated (descriptive vs.. analytical research) Would qualitative methods be more appropriate? Science/research:essentially an exercise in measurement Study design:appropriate to question/hypothesis and feasible?

7. What Will Be Measured? Be as specific as possible (e.g. Prevalence or Incidence) Prevalence of Asthma in children with and without pets at home. Incidence of Diabetes in smokers and non-smokers

8. Five Major Study Designs For Quantitative Work Randomised Controlled Trial Cohort Case Control Quantitative Study Designs Ecological Cross-sectional

9. Measurement How will exposure and outcomes be measured? How will validity (accuracy) and reliability (precision) be determined? Are established questionnaires/instruments available? Need for standardised methods to minimise random error (chance) and systematic measurement error (measurement bias).

10. Population/Sample Define target population:-to whom will the findings apply Study Population:-available for study -sufficiently representative of target population Study Sample:-representative (in statistical sampling terms) of study population Concept of sampling:-variation/sampling error

11. Sampling Study population and study sample? Methods of sampling: random, stratified, systematic, cluster, convenience. Representativeness of sample (selection bias). Methods of recruitment and expected response rate (selection bias) Sample size (chance, type I and type II errors).

12. Data Collection Data collection methods, questionnaires (interview or postal), physical measurements, blood tests. Data to be collected (potential confounding variables).

13. Data Entry/Analysis EpiData/Microsoft Access Avoid Microsoft Excel Minitab/SPSS

14. Ethical Issues Ethics Committee Informed Consent Confidentiality/Data Protection Conflicts of Interests Research Integrity