Week 10 - Internal and External Study Validity Flashcards
What does The World Health Organisation say about Interprofessional Education (IPE)?
Interprofessional education = occurs when two or more professions learn about, from and with each other to enable effective collaboration and improve health outcomes
What is internal validity?
Internal validity means there is an exposure-outcome association in the source population.
The results cannot be explained by anything else.
What is external validity?
External validity is when the results of the sample can be generalised to the general population or other similar populations.
What 3 factors can influence internal validity?
- Chance (random/ sampling error)
- Bias (systematic error)
- Cofounding
How is Chance an influence on internal validity?
- Random nature of sampling thus chance will always play an important role in our results, because we use sample to derive conclusions about populations
- Any estimate from any study is a subject to chance (ANY FINDING CAN BE A CHANCE FINDING)
- The role of chance is determined by the p-value and 95% Confidence Interval
How do we determine whether validity was affected by chance?
- Check findings for statistical significance (p-value/ 95% Confidence Interval)
- If the exposure-outcome association is statistically significant. THUS NOT DUE TO CHANCE
How can we minimise the influence of chance in our findings?
- Large, representative sample must be used
- Thus reduces standard error and increases study power THUS MORE PRECISE ESTIMATES
What are the two types of bias?
- Selection Bias
- Information bias
What is selection bias?
-Errors in sampling
-Creates a non-representative sample
-Any derived estimate is likely biased
What is information bias?
-Errors in process of data collection
-Inaccurate assessment of exposure/ outcome variables (recall bias, interviewer bias etc.)
How do determine if the validity is affected by bias?
-Difficult to determine
- Researchers need to make his/her reflection and self-criticism regarding appropriateness of sample chosen and accuracy of measurements
- SAMPLES FROM CONVENIENCE SAMPLING AND SELF-REPORTS ALWAYS ARE EXPECTED TO CONTAIN BIAS
How can we minimise the influence of bias on our findings?
- Choose representative sample (lowers selection bias)
- Choose assessment tools having high accuracy (minimises information bias)
- Make thorough investigation of accuracy of data collected (must be done during data collection AND data analysis (data cleaning))
What is confounding in Internal Validity terms?
- Confounding = a factor explains all or part of association between exposure and outcome
–> Compromises validity ( distorts the estimate of possible association
–> Can mask true association
–> OR makes false association appear
How do we determine if validity is affected by confounding?
- Under non-experimental conditions = expect that confounding is affecting results to some degree
- Confounding effects includes:
–> unexpected result is obtained
–> OR something that doesn’t make sense biologically
How can we minimise the influence of confounding in our findings?
- Make a list of potential confounders for given exposure-outcome association
- Adjust for potential confounders during data analysis (cofounder-adjusted estimates which are free of confounding effects)
- ALWAYS BE CAUTIOUS OF RESIDUAL CONFOUNDING