Reliability and Validity in Personality Testing

1697 words 7 pages
Reliability and Validity in Personality Testing


Psychological tests are often used in the selection of projective personnel (Anastasia & Urbina, 1997). The idea is that by using the scientific approach to personality and emotional intelligence testing in hiring, the employers will be able to increase the number of successful employees (Beaz lll, 2013). “Personality refers to an individual’s unique constellation of consistent behavioral traits”, which in relationship to a person’s projected Emotional Intelligence (EI) may lead to matching the right person to the right job. Job proficiency tests are used to select candidates for employment and are the number one tool used to match the right
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The idea is to obtain consistent results regardless of who is administering the test or interpreting the results. The same person could take the same test several times and generate the same results. Any differences in the results should be due to the error variance, which includes any condition that is irrelevant to the purpose of the test. Since the variability is an intrinsic property of all behavior, some fluctuation could be expected and classified under error variance as well. Test reliability indicates the extent to which individual differences are due to ‘true’ differences or ‘error variance’. Testing the reliability of an assessment is paramount to the empirical value of the test, with regards to ethical and scientific standards. Far-reaching consequences for the patient may potentially be damaging with the misuse or abuse of psychological assessments. Not one test is 100 % reliable, and therefore all tests should be accompanied by statement of reliability, with specifications of its characteristics of the sample and an explanation of how the reliability was tested (Anastasia & Urbina, 1997).
The correlation coefficient expresses the degree of correspondence between two sets of scores and is used to express various types of reliability. The reliability coefficient can be calculated by using one of the following testing methods:


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