Search results
Results from the WOW.Com Content Network
External validity is the validity of applying the conclusions of a scientific study outside the context of that study. [1] In other words, it is the extent to which the results of a study can generalize or transport to other situations, people, stimuli, and times.
Validity has two distinct fields of application in psychology. The first is test validity (or Construct validity ), the degree to which a test measures what it was designed to measure. The second is experimental validity (or External validity ), the degree to which a study supports the intended conclusion drawn from the results.
Ecological validity, the ability to generalize study findings to the real world, is a subcategory of external validity. [ 6 ] Another example highlighting the differences between these terms is from an experiment that studied pointing [ 7 ] —a trait originally attributed uniquely to humans—in captive chimpanzees.
There are many subcategories of members checks, including: narrative accuracy checks, interpretive validity, descriptive validity, theoretical validity, and evaluative validity. In many member checks, the interpretation and report (or a portion of it) is given to members of the sample (informants) in order to check the authenticity of the work.
Validity [5] of an assessment is the degree to which it measures what it is supposed to measure. This is not the same as reliability, which is the extent to which a measurement gives results that are very consistent. Within validity, the measurement does not always have to be similar, as it does in reliability.
Naturalistic observation can also be used to verify external validity, permitting researchers to examine whether study findings generalize to real world scenarios. Naturalistic observation may also be conducted in lieu of structured experiments when implementing an experiment that would be too costly.
Test validity is the extent to which a test (such as a chemical, physical, or scholastic test) accurately measures what it is supposed to measure.In the fields of psychological testing and educational testing, "validity refers to the degree to which evidence and theory support the interpretations of test scores entailed by proposed uses of tests". [1]
The reason for the success of the swapped sampling is a built-in control for human biases in model building. In addition to placing too much faith in predictions that may vary across modelers and lead to poor external validity due to these confounding modeler effects, these are some other ways that cross-validation can be misused: