Unit 3: Ch. 13 Flashcards
statistical results and interpretation
the statistical results of a study, in and of themselves, do not communicate enough meaning
statistical results must be interpreted to be of use to clinicians and other researchers
aspects of interpretation (6)
- credibility and accuracy of the results
- precision of the estimates
- magnitude of effects and importance
- meaning of results
- generalizability of results
- implications of the results for practice, theory, and further research
credibility and accuracy
credibility: is it believable?
accuracy: validity of the tool used to collect the data
precision of the estimate of effects
precision is the exactness of results. Communicated through “p” values and confidence intervals (CI)
p value is the probability that the results are due to chance
- p value < 0.05 means that there’s less than 5% chance result happened by accident
- usually something less than 0.05
CI gives you a p value and a range in which most of the results will fall
-often give an OR
magnitude of effects and importance
bigness of an effect; how big the effect is from the intervention (ex: did a tx cure a little bit or did it cure all cases?)
considered especially important in clinical decision making
clinically significant: important clinically
generalizability of the results
whether or not you can apply what was found in the study to other groups
apply the results from the sample to the population
aka external validity
implications of the results for practice, theory, and further research
theory implications, clinical implications, research implications
typically giving you ways the results can be used
inference and interpretation
interpreting research results involves making a series of inferences
-inference: act of using logical reasoning to draw conclusions from limited information
we infer from study results the “truth in the real world”
the interpretative, critique, or critical mindset
approach any research article with a critical and even skeptical mindset
show me! Expect researchers to provide strong evidence that their results are credible
-in other words, it’s true
don’t believe everything you read
-not all research articles are credible or true
credibility of quantitative results (4)
- proxies and interpretation
- credibility and validity
- credibility and bias
- credibility and corroboration
proxies and interpretation
proxy: when one thing is used to represent or substitute another thing
- ex: concepts like love, hate, anxiety require a proxy for measuring them –> come up with questionnaires to measure and describe these
- must be careful with reliability and validity
credibility and validity
Validity: tool measures what it purports to measure
4 types of validity:
- statistical conclusion validity
- internal validity
- external validity
- construct validity
statistical conclusion validity
accuracy of relationships between variables that have been determined via statistics
internal validity
degree to which it can be inferred that the tx, and not a confounding factor, was responsible for the outcome
external validity
aka generalizability
application of findings to others who are similar to the people in the sample