How well can the test predict your potential employee's job performance? - Validityīefore jumping to determine the usefulness of these tests, you need to understand what a pre-employment test is. How reliable are the scores obtained in the test? - Reliability. To do this, you need to answer two questions: Pre-employment tests need to be vetted to determine their usefulness. So, there is a high possibility that you are part of an organization that uses tests to hire new employees.ĭoes that mean you can pick up any test, implement it for your hiring needs, and end up with stellar employees at work? Definitely not. The thoughts and feelings and the environment (in which the test is taken) may vary across time and this may bring about variance in scores.Research shows that almost 85% of today's companies use some form of pre-employment assessment in their hiring procedure. However, one needs to keep in mind that it will not always be possible to remove all discrepancies in test reliability. Test reliability depends upon a number of factors like the timing between two test sessions, the construction of test elements (including test instructions), the conditions specific to the test-taker and more. So, we see how important it is for organizations to choose a psychometric test which is both reliable and valid. According to studies, bad recruiting decisions are responsible for close to 80% of employee turnover. It is crucial for psychometric assessments to be reliable because they help organizations take hiring decisions. 
If a test gives consistent scores for personality characteristics of an individual, it is said to be reliable. When it comes to reliability, psychometric tests are no different than weighing scales. Psychometric assessments are administered by organizations to figure out a candidate’s cognitive capacities, behavioural styles and personality traits to understand if they will be a good fit for the job and the company’s overall culture. If a person weighs himself or herself several times a day, then a reliable scale is going to give the same results. This can be understood from a simple analogy of using a weighing scale. In simple terms, reliability indicates consistency which means scores of a test and set of data should remain stable spanning time period and instances of application.
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