Concurrent validity is a type of evidence that can be gathered to defend the use of a test for predicting other outcomes. It is a parameter used in sociology, psychology, and other psychometric or behavioral sciences. Concurrent validity is demonstrated when a test correlates well with a measure that has previously been validated. The two measures may be for the same construct, but more often used for different, but presumably related, constructs. Show
The two measures in the study are taken at the same time. This is in contrast to predictive validity, where one measure occurs earlier and is meant to predict some later measure.[1] In both cases, the (concurrent) predictive power of the test is analyzed using a simple correlation or linear regression. Alignment with classical conceptions of validity[edit]Concurrent validity and predictive validity are two types of criterion-related validity. The difference between concurrent validity and predictive validity rests solely on the time at which the two measures are administered. Concurrent validity applies to validation studies in which the two measures are administered at approximately the same time. For example, an employment test may be administered to a group of workers and then the test scores can be correlated with the ratings of the workers' supervisors taken on the same day or in the same week. The resulting correlation would be a concurrent validity coefficient. This type of evidence might be used to support the use of the employment test for future selection of employees. Concurrent validity may be used as a practical substitute for predictive validity. In the example above, predictive validity would be the best choice for validating an employment test, because using the employment test on existing employees may not be a strong analog for using the tests for selection. Reduced motivation and restriction of range are just two possible biasing effects for concurrent validity studies.[2][3] Contrasting similar terms[edit]Concurrent validity differs from convergent validity in that it focuses on the power of the focal test to predict outcomes on another test or some outcome variable. Convergent validity refers to the observation of strong correlations between two tests that are assumed to measure the same construct. It is the interpretation of the focal test as a predictor that differentiates this type of evidence from convergent validity, though both methods rely on simple correlations in the statistical analysis. See also[edit]
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Design of Experiments > What is Concurrent Validity? Concurrent validity is a type of Criterion Validity. If you create some type of test, you want to make sure it’s valid: that it measures what it is supposed to measure. Criterion validity is one way of doing that. Concurrent validity measures how well a new test compares to an well-established test. It can also refer to the practice of concurrently testing two groups at the same time, or asking two different groups of people to take the same test. Advantages:
Disadvantages:
Example 1: If you create a new test for depression levels, you can compare its performance to previous depression tests (like a 42-item depression level survey) that have high validity. Concurrent means “as the same time”, so you would perform both tests at about the same interval: you could test depression level on one day with your test, and on the next day with the established test. A statistically significant result would mean that you have achieved concurrent validity. If the tests are farther apart (i.e. they aren’t administered concurrently), then they would fall into the category of Predictive Validity instead of criterion validity. Example 2: Concurrent validity can also occur between two different groups. For example, let’s say a group of nursing students take two final exams to assess their knowledge. One exam is a practical test and the second exam is a paper test. If the students who score well on the practical test also score well on the paper test, then concurrent validity has occurred. If, on the other hand, students who score well on the practical test score poorly on the paper test (and vice versa), then you have a problem with concurrent validity. In this particular example, you would question the ability of either test to assess knowledge. ---------------------------------------------------------------------------
Need help with a homework or test question? With Chegg Study, you can get step-by-step solutions to your questions from an expert in the field. Your first 30 minutes with a Chegg tutor is free! Comments? Need to post a correction? Please Contact Us. What is concurrent validity quizlet?Concurrent validity refers to the degree of correlation of two measures of the same concept administered at the same time.
Which is the best definition of validity quizlet?Validity can be defined as the agreement between a test score or measure and the quality it is believed to measure.
What is the main difference between concurrent and predictive validity?The main difference is that in concurrent validity, the scores of a test and the criterion variables are obtained at the same time, while in predictive validity, the criterion variables are measured after the scores of the test.
Which of the following is true regarding validity and reliability?Which of the following statements is true regarding reliability and validity? Reliability of a measure is essential for it to have any validity.
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Which of the following is the most accurate definition of concurrent validity?
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