
Phoebe T. answered 10/10/23
High School & College Tutor: Study Skills & Social Sciences
External Validity: Ability to generalize findings
Threat: small/convenient sample size
**Statistical Validity: The overarching type of validity- can we confirm our numbers are representing what we claim they do.(The 3 other kinds of validity mentioned fall under this umbrella)
Threat: participants are not blindfolded prior to seeing target, could create unwanted "aiming" or practice effect.
Correction: I don't think this would count as just Statistical Validity, I think there is definitely a better suited one in the six broken down categories. Statistical validity more speaks to the type of statistics used and the validity of the computed variables, not necessarily issues in the collection of data.
*****I would probably guess this is a form of Face Validity, ensuring the prepared instruments and measurements encapsulate all aspects of the variable.
Internal Validity: Confidence in cause-effect relationships by ruling out changes caused be extraneous factors.
Threat: Lack of specificity in throwing instructions could cause massive flux in numbers reported.
Construct Validity: how well a test measures the theoretical concept it was designed to evaluate
I think this might be a missed one as well, I believe construct has more to do with ensuring that all researchers and participants are fully aware of the constructs being tested or investigated.
I think this one would fall into the 'confound' category as opposed to Validity. Mainly because it is about the potential effects of the physical environment, which would be controlled for differently than validity.
External/Internal Validities look good to me, I think statistic could be better specified with a different validity check, and the final one might fall under something other than validity, if it is, then I would say its probably similar to Internal validity.
Hope this helps, let me know if I can clarify anything for you! Good luck :)