validity of selection procedures Flashcards
validity concerns the _ of judgements made from scores on selection measures
accuracy
3 approaches to validity:
- _ validity
- _ validity
- _ validity
content, criterion, construct
a selection procedure has content validity when its _ representatively samples the _ of the job associated with _ performance
content, content, successful
content validity relies on _ (2), not _
expert judgement, statistics
_ validity may be confused with content validity, _ (2) deals with _ sampling of the _ domain of the job, while _ (2) deals with the _ of whether a measure is measuring what is intended
face, content validity, representative, content, face validity, appearance
types of criterion validation strategies: _ validation and _ validation
concurrent, predictive
concurrent validation is when information based on predictor and a criterion for a current group of employees is being _ at the _ (3)
collected, same time period
_ validation involves the collection of data _ (2), _ is first collected, and _ is collected at a later time
predictive, over time, predictor, criterion
for predictive validation, _ (2), not _ are the data source
job applicants, employees
a big weakness of predictive validation is the _ (2) required to determine the validity of the measure being examined
time interval
requirements for criterion validity:
- _, not in a period of _
- criterion free from _
- large, _ sample
stable, change, contamination, representative
differences between criterion validity and content validity:
- content V is more focused on the selection procedure job _ domain, while criterion V is more focused on an _ (2)
- criterion V is _ based on _ set of data, while content V is based on a _ base of data
- criterion V is _, content V uses judgemental descriptors
content, external criterion, narrowly, specific, broader, quantitative
_ validation helps us determine the degree to which test scores can be interpreted as reflecting an _ (3)
construct, underlying psychological construct
importance of _ sample sizes:
- _ on a small sample must be higher in value to be considered _ (2)
- small sample sizes are _ reliable, and show greater _
- lower chances of a predictor to be _
large, computation, statistically significant, less, variability, valid
utility analysis is to translate the results of a _ study into terms that are important to and _ by _
validation, understandable, managers