6 min read

Is there a proven scientific link between psychometric testing and hiring the best people?

With the ever-increasing use of psychometric testing, hiring managers are either using psychometric testing or considering incoroporating testing in their recruitment process. After all, when it seems like everyone’s doing it … should you?

Guy Thornton
Guy Thornton November 01, 2019
Is there a proven scientific link between psychometric testing and hiring the best people?

Seems like everyone’s doing it … Should you?

Psychometric tests have been continually refined since the early part of the 20th century and confidence in them has risen exponentially. Now used on a global scale, Psychometric testing is utilised by over 75% of the Times Top 100 companies in the UK and over 80% of Fortune 500 companies in the USA. Now, 81% of companies using these tests in their interview process said they expect to make more reliable hiring decisions, whereas only 67% said the same in 2010.

Img The percentage of employers who believed that psychometric testing can predict future performance has risen from 49% in 2010 to 57% in 2016 and continues to grow. More than three quarters of HR recruitment professionals in the UK are now using psychometric testing during interviews, and 78% agree that it is a ‘powerful tool’ for hiring.

Img Are you still unsure about using Psychometric tests in your hiring process? Here are the facts you need to know… The psychometric tests’ rise in popularity is undeniable, companies are employing these tests to help them make hiring decisions more and more. If the consistent rise in popularity seen in the last 100 years can be considered a clue, psychometric testing is here to stay.

Img It becomes even clearer to see why when we briefly segue into the origins of psychometric testing. As we should all now know psychometric tests have been used to refine selection processes for the better part of a century. The first test can be traced back to Charles Darwin’s cousin, Sir Francis Galton, who’s obsession (no really, he was obsessed) with individual human differences geared his studies towards “objective testing” and he discovered that these tests could provide “meaningful scores”. These tests were reinvented and mass distributed by the War Office Selection board in the UK during World War II, subsequently they were adopted by the Civil Service and from there spread into other professions. This is great news for present day employers considering using modern psychometric tests in their interview process, but how relevant are Galton’s “meaningful scores”? If we put Galton’s “Feminine Beauty Map of the British Isles” to the side, we can see that genuinely helpful insights can been drawn from his objective testing. Since Galton’s first scientific psychometric trial in 1884 there has been (literally) thousands of studies on the prediction of job performance involving preliminary testing. For example, in 1998 Frank Schmidt and John Hunter published a meta-analysis of 85 years of research on how well assessments predict performance. In "Quantifying the Effects of Psychological Interventions on Employee Job Performance and Work-Force Productivity” they highlight; > “Analysis has shown that [aptitude tests] predict performance in all jobs … [It] has shown that reliable tests yield accurate assessments of ability”

They found that the best predictor of how someone will perform in a job is a work sample test (representing 29% of an employees performance). This means giving candidates an exercise emulating work they would be doing in the job and evaluating it appropriately. It is an imperfect assessment as real performance also depends on other skills such as adaptability and ability to work with a team. Because of this it is an uncommon approach at interview. It is a time consuming process and often there are too many variables to be able to present a fair representation of day-to-day work in a single work example. The close second-best predictors of performance are tests of general cognitive ability or psychometric tests (26%). These are scientifically constructed tests with definite right and wrong answers similar in format to an IQ test. They are accurately predictive as cognitive ability encompasses the capacity to develop, raw intelligence and learning capability. An assessment of these qualities will give a reliable prediction about the most successful people for a job. Schmidt and Hunter conclude that those persons who perform well in psychometric testing prior to an offer of employment are more likely to fit in with the business and it’s values as well as adapting to their actual role more quickly and with improved job performance. Which leads me nicely to my second quote from their paper: > “Findings show that the economic value of increased job performance resulting from use of cognitive tests in selection is substantial. Valid selection can produce major increases in work-force productivity”

Mike Smith and Ivan Robertson’s paper on Personnel selection also concluded that preliminary testing was a very effective method of predicting how effective a prospective hire might be at the job. They ranked the combination of aptitude tests, psychometric tests and a well structured interview process as the most efficient method, with a 63% accuracy rating. Essentially, psychometric tests save employers money. The more fastidious the selection process the higher the chances of increased job performance which, ultimately, increases revenue. Every employer understands the “tremendous expense” of recruitment; as Philip Carter, author of “1000 Ways to Assess Your Personality, Creativity, Intelligence and Lateral Thinking”, puts it. Anything that a good hiring manager can do to ensure retention and reduce risk with hiring is ultimately a money saving activity and therefore well worth doing. Andy Gooday, Managing Director at Round Peg Search, said of psychometric testing that he believes the data speaks for itself. With Psychometric testing used in his hiring process he can boast a 92% retention rate of staff hired and still with the company after two years.

Img On average, each graduate job offer in the UK attracts 39 applications (with some larger institutions garnering 250 applications per job). It is no wonder then that employers need a method that can quickly and efficiently determine which candidates are of the best fit. High volume applications can be problematic to hiring managers especially when research has shown minimal consistency between the standard of degrees awarded by different universities in addition to considerable deviation in a standard quality measure between subjects. Gone are the days where University degrees are the be-all and end-all of performance indicators. In their book, Staffing Organizations (4th ed), Herbert Heneman and Timothy Judge contend that pre-hiring testing, including aptitude and psychometric, is a far more efficient method of prediction than education and interviews alone. Cognitive ability tests are 37% more accurate indicators of future performance than a degree certificate. > "There is much less faith in the ability of degree classes to accurately mirror the graduate competencies that matter.” Is a common conception in the graduate recruitment industry.

It is a fact, then, that the pre-hiring assessment tool removes human bias and assumptions about degrees and their institutions. The Psychometric tests measure the same level of ability across the board. Graduates from all Universities are assessed using the same metrics; the playing field is levelled and assumed ability associated with specific institutions or degrees is removed. Scientifically speaking, peripheral variables can’t impact the test results - natural talents and potential can be accurately predicted without the interference of human bias and assumption. Jayson Darby, psychology manager at Thomas International reiterates this, “Our research actually suggests psychometrics improves diversity because they remove unconscious human bias and seek just the best qualities irrespective of gender, or race, or academic background,”. Despite it’s popularity and evident efficiency, there have been some cases that suggest psychometric testing does have a chink in it’s armour, perhaps demonstrated most infamously in Co-op Bank’s misguided hiring of ill-qualified Paul Flowers as their Chairman. Flowers was hired off the back of his promising Psychometric Testing results but days after he appeared in front of the Treasury committee for the bank’s £1.5 Billion balance sheet black hole he stepped down following an illegal drug scandal exposé. Director of the University of Cambridge’s Psychometric Centre, John Rust, said, ‘Openness to experience is one of the big five scales in personality testing, and clearly one that Mr Flowers may have scored highly on.’ The scandal highlighted that Psychometric tests should not be used in isolation, they should be used in conjunction with face to face meetings or telephonic interviews when making a hiring decision. Perhaps if Flower’s was asked exactly what experiences he was open to in a typical interview setting, he may not have impressed quite as much.

In succinct summation:

**Yes, there is scientific evidence that links Psychometric Testing at interview to better hires.**The tests offer a standardised and scientifically proven way to measure a potential hire’s mental capabilities. With these results they are far more likely to successfully predict how effectively a candidate will adapt to their new role using a tool that can reveal information that a telephonic or face to face interview may not reveal and can assume they will stay in the job longer. This being said, these results should always be considered in conjunction with a typical interview discussion to further evaluate results. With any scientific experiment there are outliers, variations in measurements and exceptions to rules. However, a significant volume of data, experiments and statistics favour the psychometric test as an effective and reliable pre-hiring tool.

Guy Thornton
Guy Thornton November 01, 2019

Topics:

  • Assessments
  • Technology

Enjoy what you’ve read? Let others know!