In the competitive landscape of modern human resource management, the goal of the selection process is to choose individuals with the relevant qualifications to fill existing or projected job openings. However, selection is not merely about finding someone who can do the work; it is about maximizing "hits" (successful hires) and avoiding "misses" (false positives, where an unsuccessful employee is hired, or false negatives, where a potentially successful candidate is rejected). To achieve this balance, organizations must rely on data that is consistent, accurate, and legally defensible.
The Foundations of Quality Selection: Reliability and Validity
Before an organization can implement any selection tool—be it an interview, a test, or a background check—it must ensure the information gathered meets two critical scientific standards: reliability and validity.
Reliability refers to the consistency of the data. Specifically, it is the degree to which various selection procedures (such as interviews or tests) produce comparable results over time. If a candidate takes a cognitive ability test on Monday and again on Friday, a reliable test should yield nearly identical scores.
Validity refers to the accuracy of the measurement. It is the degree to which a selection procedure successfully measures an individual's attributes and predicts their future job performance. A test might be reliable (giving the same score every time) but invalid (the score has nothing to do with how well the person actually performs on the job).
Exam Tip: Remember that reliability is about consistency, while validity is about accuracy and prediction. A scale that is always 5 lbs off is reliable (consistent) but not valid (inaccurate).
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