![]() Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives. ![]() of each question, analyzing whether each one covers the aspects that the test was designed to cover.Ī 4th grade math test would have high content validity if it covered all the skills taught in that grade. Assessing content validity is more systematic and relies on expert evaluation. On the other hand, content validity evaluates how well a test represents all the aspects of a topic. The traditional scientific method, in contrast, begins with a hypothesis and follows with an examination of the data. ![]() When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.įor example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test). data dredging (data fishing): Data dredging, sometimes referred to as 'data fishing' is a data mining practice in which large volumes of data are analyzed seeking any possible relationships between data. The difference is that face validity is subjective, and assesses content at surface level. Face validity and content validity are similar in that they both evaluate how suitable the content of a test is.
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