EDKP 443 Lecture Notes - Lecture 18: Stratified Sampling, Diabetes Mellitus Type 2, Statistical Hypothesis Testing

• School: McGill University
• Department: Kinesiology and Physical Ed
• Course: EDKP 443
• Professor: Lindsay Duncan

Document Summary

Involves both qualitative and quantitative data: combination to extract information. Often requires a team of researchers; ensure research is being performed properly. Can be sequential or parallel: collection of both measures can vary, sequential: one methodology follows the other, parallel: methodologies occur concurrently in the study. Research question and hypothesis: strong rationale for each component. Design selection: must think of proportion of study that requires quantitative vs qualitative data, assess the proportion of quantitative vs qualitative. Data collection: plan and test all data collection procedures, check for alignment of quantitative and qualitative data. Evidence of good data: ensure the validity and reliability of quantitative measures, ensure the trustworthiness of qualitative data. Presentation of results: quantitative and qualitative findings should complement one another. What does epidemiology mean: epidemic, from greek epidemios (cid:373)ea(cid:374)i(cid:374)g (cid:862)a(cid:373)o(cid:374)g the people, a(cid:373)o(cid:374)g o(cid:374)e"s cou(cid:374)try(cid:373)e(cid:374)(cid:863) Research at the population level: public health, disease specific research, the key is to look at large scale.