What is concurrent validity in statistics?

The concurrent validity of survey instruments, like the tests used in psychometrics , is a measure of agreement between the results obtained by the given survey instrument and the results obtained for the same population by another instrument acknowledged as the “gold standard”.

What is the major difference between concurrent validity and predictive validity?

The difference between the two is that in concurrent validity, the test and the criterion measure are both collected at the same time, whereas in predictive validity, the test is collected first and the criterion measure is selected later.

What is convergent validity in statistics?

Convergent validity states that tests having the same or similar constructs should be highly correlated. Two methods are often applied to test convergent validity. One is to correlate the scores between two assessment tools or tools’ sub-domains that are considered to measure the same construct.

What statistical analysis determines concurrent validity?

Concurrent validity is usually measured by the correlation between a new test and an existing test to demonstrate whether the new test correlates well with the existing test (Murphy & Davidshofer, 1998). Therefore, the resulting correlation is a concurrent validity coefficient.

What is concurrent validity example?

When we examine concurrent validity, both measures are taken at the same time. For example, sample participants were given the Rice Depression Scale and the Beck Depression Inventory at the same time. When measuring predictive validity, one measurement is given before the other.

How do you determine convergent validity?

Convergent validity can be estimated using correlation coefficients. A successful evaluation of convergent validity shows that a test of a concept is highly correlated with other tests designed to measure theoretically similar concepts.

How do you fix discriminant validity?

If items cross-load on more than one latent variable, removal of offending items should improve discriminant validity. CFA can also be used, and a researcher can inspect modification indices or correlated error terms, but the ability of EFA to identify cross-loadings is particularly beneficial.

What is a high concurrent validity?

Concurrent validity refers to the degree in which the scores on a measurement are related to other scores on other measurements that have already been established as valid. It is different from predictive validity, which requires you to compare test scores to performance on some other measure in the future.

What is an example of a concurrent validity?

Criterion validity is typically assessed by comparison with a gold standard test. An example of concurrent validity is a comparison of the scores of the CLEP College Algebra exam with course grades in college algebra to determine the degree to which scores on the CLEP are related to performance in a college algebra class.

What is testing for convergent and divergent validity?

Another method of finding out if the survey is getting you the results that you want is by testing for convergent validity and divergent validity. These can be defined as: Convergent Validity – When two similar questions reveal the same result. Divergent Validity – When two opposite questions reveal opposite results. Testing for this type of validity requires that you essentially ask your sample similar questions that are designed to provide you with expected answers.

What is a convergent validity?

Convergent validity, a parameter often used in sociology, psychology, and other behavioral sciences , refers to the degree to which two measures of constructs that theoretically should be related, are in fact related. Convergent validity, along with discriminant validity, is a subtype of construct validity.

What are the types of construct validity?

Construct Validity. Construct validity refers to whether the method of assessment will actually elicit the desired response from a subject. Two types of construct validity are convergent and discriminant. If an assessment yields similar results to another assessment intended to measure the same skill, the assessment has convergent validity.