Validity in Psychology: Types & Definition

Validity in Psychology: Types & Definition
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  • 0:01 Considering Validity
  • 0:50 Construct Validity
  • 2:18 Content Validity
  • 2:56 Criterion-Related Validity
  • 4:02 Why Is Validity Important?
  • 5:07 Lesson Summary
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Lesson Transcript
Instructor: Yolanda Williams

Yolanda has taught college Psychology and Ethics, and has a doctorate of philosophy in counselor education and supervision.

Validity refers to a test's ability to measure what it is supposed to measure. Learn more about the different types of validity and why they are important, and test your knowledge with a quiz.

Considering Validity

Imagine that you are a psychologist working in your office. Your client comes in and tells you that he thinks he is suffering from anxiety. You decide that before you proceed with treatment and diagnosis, you need to administer a psychological assessment.

You search through your drawer of tests and find the Beck Anxiety Inventory (BAI). The first question you ask yourself is 'What does the BAI measure?' You read the test manual, which notes that the BAI is used to assess the level of anxiety for adults and adolescents. The second question that you ask yourself is related to the validity of the BAI, or how well the BAI measures what it was designed to measure. To answer this question, we will look at three different subdivisions of validity: construct validity, content validity, and criterion validity.

Construct Validity

You are probably already familiar with the definition of a construct. A construct is an attribute, skill, or ability that is based on established theories and exists in the human brain. Intelligence, anxiety, and depression are all examples of constructs. Construct validity is the degree to which a test measures the construct that it is supposed to measure. In other words, how well does the BAI measure the theoretical concept of anxiety? Establishing construct validity involves looking at numerous studies that use the BAI. There are two necessary components of construct validity: convergent and discriminant validity.

Let's say that while reading the manual you found that the BAI is highly correlated with the Hamilton Rating Scale (HRS) and the State Trait Anxiety Inventory (STAI), which are two previously validated measures of anxiety. This establishes convergent validity. Convergent validity is the degree to which a measurement agrees with other measurements that assess the same construct.

You also found that the BAI has a low correlation with the Beck Depression Inventory, which is meant to measure depression. This establishes discriminant validity. Discriminant validity is the degree to which a measurement does not correlate with other measurements that assess different concepts, so that it differentiates between the two constructs.

Content Validity

You also read in the manual that the BAI items were selected based on their similarity to the criteria for anxiety disorders as given in the Diagnostic and Statistical Manual of Mental Disorders. Furthermore, the items cover the entire range of anxiety symptoms, including those found in panic and generalized anxiety disorders. This establishes the content validity of the BAI. A measurement has content validity when its items cover all aspects of the construct being measured. In other words, content validity lets us know if the items on the BAI adequately cover all areas of anxiety.

Criterion-Related Validity

Criterion-related validity refers to the degree to which a measurement can accurately predict specific criterion variables. Concurrent validity and predictive validity are the two types of criterion-related validity. Concurrent validity involves measurements that are administered at the same time, while predictive validity involves one measurement predicting future performance on another.

Say that you found a significant correlation between the scores on the BAI and the scores on the HRS and STAI. You have established concurrent validity, which is the degree in which the scores on a measurement correspond to other measurements that have already been established as valid.

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