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Suggestions for Reading Research
Involving Statistics
Overarching
Guideline: Look for sources of uncertainty.
Specific
suggestions:
- Do not just read the abstract. Abstracts sometimes
focus on conclusions that are more speculative than the data warrant.
- Identify the research question the researchers are
asking. Decide if this is a question that you are interested in.
- Determine the type of
study: observational or experimental; exploratory or confirmatory.
This will influence the strength of the conclusions that can be drawn.
- Identify the measures the
researchers are using. Decide how well they fit what you are looking for from the study.
For example, if your interest is in how well a medication or lifestyle
change will reduce your chances of having a hip fracture, a study with
outcome based on hip fractures will be more informative that one with
outcome bone density.
- Pay attention to how the sample(s) were chosen. Think
about any factors that might make the sample biased. Results from a biased sample
are unreliable, although sometimes they might give some information
about a smaller population than intended. Remember that voluntary
response samples are usually biased.
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