PSST #3 - Why Test? Part 3: Return on Investment
If fairness and public accountability were not enough, there is yet another compelling reason for developing an effective testing program - it makes business sense! Private sector companies do not have testing programs because they are required to or are concerned about societal values. They do so because the selection of the most highly qualified candidates directly impacts their productivity which, in turn, impacts their bottom line.
To illustrate the point, pause for a moment and consider the worst co-worker you have ever had. Think about the amount of work they completed and the disruption to the organization they caused. Now think about the best co-worker you have ever had. Think about their productivity and overall effect on the work environment. This reflection always portrays a stark contrast which directly points to the cost benefits of effective selection. Those who are best qualified and equipped to perform the work at hand tend to produce more, stay longer, and cause less harm to the organization and its people. If that weren’t enough, the cost of selection failure also must include the cost of replacement. How much does an organization invest in hiring and training an employee and what might be the costs resulting from the above noted problems associated with a less qualified worker?
The reflections here are intended to be brief and provide perspective rather than technical direction, but one must turn to the research to convey the astounding power of this point. While you can venture out on your own and find an abundance of information on test utility, I’ll provide a classic: The Validity and Utility of Selection Methods in Personnel Psychology: Practical and Theoretical Implications of 85 Years of Research Findings by Frank L. Schmidt and John E. Hunter, which appeared in Psychological Bulletin (1998, Vol. 124, No, 2, 262-274 ). In this seminal work, they state "The cumulative findings show that the research knowledge now available makes it possible for employers today to substantially increase the productivity, output, and learning ability of their workforces by using procedures that work well and by avoiding those that do not." In a follow-up work, Schmidt states that "The standard deviation of the dollar value of output (called SDy) has been found to be at a minimum 40% of the mean salary of the job." He illustrates this with the following: "If the average salary for a job is $40,000, then SDy is at least $16,000. If performance has a normal distribution, then workers at the 84th percentile produce output worth $16,000 more per year than average workers (i.e., those at the 50th percentile)."
You can see the power here. Ted experienced a similar outcome with a validation study for clerical classifications that he conducted while working for the then U.S. Civil Service Commission. Using the improved validity estimates and subsequent productivity improvements, he was able to concretely demonstrate the significant dollar value attributed to the use of an effective test. If you choose to explore the concept of test utility further, you will find a variety of approaches. However, the common thread is not a lack of significant findings, but rather value estimates that are so large as to seem implausible. The point is this: when we maximize the validity of our processes, the work we do has unparalleled potential to create value and impact in the organizations that we serve.
With that in mind, it seems fitting to close this reflection on the question of "Why Test?" with the quote from Ted that we used to introduce PSST: "We have the best story around. We need to discover and develop the best ways to tell it."