Welcome everyone to corporate learning excerpts. My name is Jardine.
Todays episode is all about Measuring Accuracy of Psychometric Tests, a topic of Psychometric Profiling Tools.
We will cover briefly the two accuracy factors which are validity and reliability.
So let’s begin.
Psychometric tests are measurement tools, they are used to measure personality traits, cognitive abilities, and behavioral tendencies.
Pretty much they’re being used in the education and work setting to make important decisions regarding career planning, hiring, role fitment and work styles.
So accuracy is key in these assessments. And to make something accurate, you should look into its validity and reliability.
Let’s cover what each means.
When we speak of Validity: it means a test should measure what it is designed to measure. It’s the degree to which a resulting score can be used to figure out the level of the person answering the test.
When we speak of reliability : it means a test should measure whatever it is supposed to, consistently. So it’s the degree to which scores from a particular test are consistent from one time to the next.
Of the two, validity is generally considered the most important for the quality and accuracy of the assessment, because it relates to the actual content of an assessment.
So how do you know if a test is valid?
There are three main types of validity and there needs to be evidence of all of these before a test can be accepted as valid.
To establish whether a test is valid, ask yourself the following questions:
First question. What do you want to measure and does the assessment cover this? This is known as content validity.
Second. How well is the assessment measuring the content? This is known as criterion validity.
Third, is it actually measuring the content (or something else)? This is known as construct validity.
If you can find evidence for all of these validity measures, you can conclude the assessment is valid to whatever it is you want to measure.
Now let’s come to reliability. How do you know if a test is reliable?
Once you’ve figured that your assessment is valid, the next thing to look into is whether it’s found to be doing its job when used in different scenarios, for example with different groups, or over different points in time. This is the main point of reliability.
Now there are three ways a test can be examined for its reliability, and these can be addressed by posing the following questions:
First question. Are the results of your test replicable? In other words, are similar results achieved if a group of people take the test twice? This is known as test-retest reliability.
Second. Are similar results achieved if similar assessments are taken within a short time? This refers to similarity between scores as well as positions, and is known as alternate form reliability.
And third. Is the test internally consistent? This measures how the content of an assessment works together to evaluate understanding of a concept, and is known as internal consistency reliability.
If you can find evidence for all of these reliability measures then the assessment is reliable.
Together, validity and reliability make up the main considerations for judging whether an assessment provides an accurate data. A test is valid if the interpretation of a test-taker’s scores can be directly related to what the test is designed to measure, and it is reliable if this is the case over multiple applications of the test – both for different test-takers as well as for the same test-taker sitting the test at different times.