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About this document
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- 3 pages
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- $3 one-time, yours to keep
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- Subject
- Research Methods, Sociology
This document discusses the importance of evaluating bias in research, particularly in the context of drug industry studies. It provides guidelines for conducting effective research and highlights the potential biases and controversies in drug research.
What's inside
- Research guidelines and strategies
- Identifying and developing research topics
- Bias in drug industry research
- Techniques used to introduce bias
- Consumer scrutiny of drugs
Who it is for: Students of Sociology, and anyone interested in research methods. (Undergraduate)
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Summary
Bias in research affects how results are reported. Students learn how to recognise bias in research, especially in drug trials.
Understanding the Research Topic
A research topic should be stated as a question. Students learn to identify keywords and concepts in the question.
Optimising the Research Process
Students find out how to narrow or broaden a research topic. They learn how to use keywords and concepts to refine their research.
Bias in Drug Research
Drug research can be biased towards the goals of the drug industry. Students learn how drug companies influence research outcomes.
Techniques for Bias in Drug Research
Students learn how drug companies use techniques to make their drugs look better. They learn how drug companies select academics and change statistics.
Key terms
- bias
- A bias is a prejudice or favour towards a particular outcome.
- keywords
- Keywords are the main concepts or words in a research question.
- research design
- Research design is the plan for how research will be carried out.
- capitalistic
- Capitalistic means driven by the desire for profit.
- controversy
- Controversy is a disagreement or dispute about something.
- scrutiny
- Scrutiny is a close examination or inspection.
Questions this document helps with
- How can bias affect research outcomes?
- What techniques do drug companies use to bias research?
- How can consumers recognise bias in drug research?
Summary written with AI from the document's text.
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