![]() ![]() The results of the assessment do not correlate with those of assessments that measure different things (i.e. ![]() The results of the assessment have a strong positive correlation with those of other assessments that measure the same construct (i.e.To test the construct validity of an assessment, its convergent and discriminant validity must be calculated. See our blog on understanding convergent and discriminant validity for further explanation of these subtypes of construct validity. There shouldn’t be much of a relationship between the results, as the tests measure different things – no (or very low) correlation indicates high discriminant validity. a mathematical aptitude test vs a linguistic aptitude test). With discriminant validity, assessment results are compared with the results of tests that are designed to measure different constructs (e.g. A strong positive correlation between the results would indicate high convergent validity, suggesting that the tests are good at measuring what they are meant to measure. a mathematical aptitude test vs other similar tests). With convergent validity, assessment results are compared with the results of other tests that are designed to measure the same thing (e.g. Both of these subtypes are used to establish how well a test evaluates what it is meant to evaluate, but there are key differences between them. The subtypes of construct validityĬonstruct validity is made up of two subtypes: convergent validity and discriminant validity. For more information, take a look at our guide to construct validity. It is important to understand this fundamental concept fully before attempting to measure it. For example, a math test would have high construct validity if it was good at showing which candidates possessed strong mathematical aptitude (and which did not). What is construct validity?Ĭonstruct validity is used to determine how well an assessment measures the construct that it is intended to measure. It briefly explains this form of validity and its subtypes, then shows how the construct validity of an assessment can be quantified through basic statistical analysis. This guide outlines how to measure construct validity. There are three main types of validity: content validity, criterion validity, and construct validity (see our post on validity and reliability to learn more). When analyzing assessments, validity shows how well an assessment measures what it is designed to measure. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |