2. Methods and Evidence Flashcards
What are the two main groups of methods for investigating health and illness?
Quantitative and qualitative.
What is quantitative research?
A collection of numerical data which begins as a hypothesis.
What are the strengths of quantitative research?
Reliability and repeatability.
What are quantitative research methods good for?
Describing, measuring, finding relationships between things, and allowing comparisons.
What are the problems with quantitative research?
May force people into inappropriate categories, don’t allow people to express things in a way they want, may not access all important information, may not be effective in establishing causality.
What are some experimental study designs of quantitative research?
RCT, cohort studies, case control studies, cross-setional surveys.
How can quantitative research methods be used with secondary analysis of data?
Official statistics from census, national surveys from charities, local and regional surveys from universities.
What is a common method for quantitative research collection?
Questionnaires.
What can questionnaires provide data on?
Exposure to risk factors, knowledge and attitudes, and satisfaction with health services.
What are the two key features that a questionnaire must be?
Valid and reliable.
What does validity mean in questionnaires?
Measure what they’re supposed to measure.
What does reliability mean in questionnaires?
Measure things consistently so differences are from the participants and not from understanding questions or interpreting responses incorrectly.
What is the difference between published and unpublished questionnaires?
Published ones may have been tested for validity and reliability whereas these are yet to be established in unpublished questionnaires.
What are the types of questions on questionnaires?
Mainly closed questions - yes/no. Some may have open questions at the end.
What is qualitative research useful for?
Understanding the perspective of those in a situation, accessing information not revealed by quantitative research, explaining relationships.