Face Validity | Guide with Definition & Examples
Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing on the surface.
Why face validity matters
Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.
Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.
To have face validity, your measure should be:
- Clearly relevant for what it’s measuring
- Appropriate for the participants
- Adequate for its purpose
Having face validity doesn’t guarantee that you have good overall measurement validity or reliability. It’s considered a weak form of validity because it’s assessed subjectively without any systematic testing or statistical analyses.
But testing face validity is an important first step to reviewing the validity of your test. Once you’ve secured face validity, you can assess more complex forms of validity like content or criterion validity.
How to assess face validity
To assess face validity, you ask other people to review your measurement technique and items and gauge their suitability for measuring your variable of interest.
Ask them the following questions:
- Are the components of the measure (e.g., questions) relevant to what’s being measured?
- Does the measurement method seem useful for measuring the variable?
- Is the measure seemingly appropriate for capturing the variable?
You can create a short questionnaire to send to your test reviewers, or you can informally ask them about whether the test seems to measure what it’s supposed to.
Who should assess face validity?
There’s a debate in academia about whether you should ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.
It’s often best to ask a variety of people to review your measurements. While experts have a deep understanding of research methods, the people you’re studying can provide you with valuable insights you may otherwise miss.
You’ll have a good understanding of face validity in your test if there’s strong agreement between different groups of people.
When should you test face validity?
It’s important to get an indicator of face validity at an early stage in the research process or whenever you’re applying an existing test in new conditions or with different populations.
Here are three example situations where (re-)assessing face validity is important.
You’re developing a brand new measure or test
You’re using an existing test for a population the test wasn’t designed for
You’re using an existing test in a context it wasn’t designed for
Frequently asked questions about face validity
- What is the definition of face validity?
-
Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.
- Why is face validity important?
-
Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.
Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.
- Who should assess face validity?
-
It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.
While experts have a deep understanding of research methods, the people you’re studying can provide you with valuable insights you may have missed otherwise.
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