Research Methods: Which is more important: external validity, internal validity, or a balance between the two?
Explain why. How can external validity and internal validity affect one another?
External validity means that the experiment conforms closely to the natural conditions in the world and so the results would be expected to be generalizable to situations outside of the experimental conditions. In other words, what you find would be expected to be true in the "real world" outside of the experiment design.
Internal validity means that the cause and effect or relationships between variables are clearly controlled so that what you find is not contaminated by other variables. High internal validity comes when you are able to isolate the effects of a particular variable carefully enough that you can conclude that other influences ...
Solution Summary
Your response is 506 words and describes both types of validity, when one dominates, when they are balanced and how they might work together.
... Checking for Internal Validity determines whether "the connection ... An experiment that has external validity will be able to have results that can be generalized ...
... for an experiment design to have internal validity but not ...External validity refers to the extent to which the results of the experiment can be generalized ...
... we have little control over extraneous variables, so while our external validity may be ... often try to balance these two forms of validity as best they can. ...
... subject variables, as the control group can be assumed ... it does not pose a threat to internal validity. B. External validity, on the other hand, refers to the ...
... 4. External validity refers to our ability to generalize the ... main types of threats to internal validity - single group ... Thus, all of these threats can be greatly ...
...validity and may compromise an experiment's internal validity. ...External Validity is the extent to which the ... experimental or descriptive studies can be applied ...
... It is specific to internal needs and data. ...External Validity, on the other hand, makes general inference to ... and you created a program that can be replicated to ...
... demonstrates that (1) construct validity/external validity is not ... signal-noise ratio/residuals can be kept ... is high in (17) internal validity/multiple measures ...
... However, you can calculate sampling error. ... discusses how sampling affects the validity of a study and whether that would be internal or external validity. ...
