Author Archives for Shanan Marshall
October 12, 2022 12:02 pm
Published by Shanan Marshall
Welcome to the 2nd installment of our blog series on the importance of leveraging both the art and science of selecting top performers. In our previous blog we demonstrated that the predictive power of a validated psychometric assessment tool is far higher than that of a hiring manager’s “gut-feel” prediction of a candidates’ future performance levels. With that being said, the use of both pieces of information was found to produce the highest level of selection accuracy, reinforcing the need for selection processes to include both art and science. With 43 years of experience, and over 10,000 validation studies under our belt, SMG could see the critical importance of including both subjective and objective components within the hiring process. A multicomponent systematic process that quantifies and evaluates a candidate’s Talent, Effort, and Fit for any particular position within an organization. What differentiates the Selection Rater from other selection processes in......
September 22, 2022 11:27 am
Published by Shanan Marshall
As an assessment firm with over 43 years of experience, one of the most frequent challenges we see from hiring managers is the belief that they can identify top performers more accurately than our assessment. On several occasions we have put this hypothesis to the test. This blog will test the SCIENCE vs GUT hypothesis by illustrating the importance they both bring to the selection process & how to incorporate and leverage them as part of a Best Practices Talent Strategy. A predictive data point is one that possesses strong discriminant validity. This means that it can clearly discern between top and bottom future performers. Below are the predictive properties of both a psychometric assessment and sales managers’ subjective ratings. ***Each graph represents the percentage of candidates that were predicted correctly to be either top or bottom performers by the rating data point Overall, the validated assessment was 70% correct......
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