Everything Flashcards
Validity.
The extent to which a tool or instrument measures what it is supposed to measure.
- precision.
- inductive reasoning.
- strength of qualitative research.
Reliability.
The degree to which a tool or instrument produces consistent or similar results.
- accuracy.
- deductive reasoning.
- strength of quantative research.
What are the 3 main methods to approaching finding evidence?
- Informally.
- Focused.
- Surveying the existing literature.
Sampling error.
When the groups of participants chosen is inadequate or not random enough.
- random errors.
- systematic errors.
Random errors.
- under or over representation of certain groups.
- likelihood of error can be reduced by increasing the sample size.
- standard deviation changes.
Systematic errors.
- inconsistencies or errors in the sampling frame.
- CANNOT be reduced by increasing sample size.
- mean changes.
Common observational study designs?
- descriptive research.
- diagnostic accuracy studies.
- epidemiological research.
Descriptive statistics.
Refer ONLY to the sample-not attempting to generalise beyond the sample.
Diagnostic accuracy studies.
Evaluates how well a diagnostic or assessment procedure:
- correctly identifies people who have the health condition the procedure is designed to protect.
- correctly identifies people who do not have the health condition.
Meta-analysis.
Specialised statistical technique for combining the results from a set of quantative studies in a systematic review.
Can have reliability without validity.
👍🏻.
Inferential statistics.
Go beyond the sample to help us infer what happens in the wider population.
Central tendency.
Refers to the mid-way point between the highest and the lowest of a sample of scores on a continuous variable.
- mean.
- median.
- mode.
Dispersion.
Refers to how spread out the scores are on a continuous variable.
- standard deviation.
- the minimum and maximum.
- the range.
Two types of inferential statistics.
- t-test.
- analysis of variance.