June 14, 2021


VALIDITY In general, 

VALIDITY is an indication of how sound your research is. More specifically, validity applies to both the design and the methods of your research. Validity in data collection means that your findings truly represent the phenomenon you are claiming to measure. Valid claims are solid claims.

Four types of validity.       

 examining the validity of an instrument, there are four levels of analysis: 

1) face validity, 

2) content validity, 

3) criterion-related validity(predictive or concurrent),  

4) construct validity.

Face validity,             

also called logical validity, is a simple form of validity where you apply a superficial and subjective assessment of whether or not your study or test measures what it is supposed to measure. … However, it doesn’t generally include much (if any at all) in the way of objective measurements.

Content validity               

is an important research methodology a term that refers to how well a test measures the behavior for which it is intended. … If the test does indeed measure this, then it is said to have content validity — it measures what it is supposed to measure.

Criterion validity (or criterion-related validity)               

measures how well one measure predicts an outcome for another measure. A test has this type of validity if it is useful for predicting performance or behavior in another situation (past, present, or future).

Construct validity
                  is “the degree to which a test measures what it claims, or purports, to be measuring.” In the classical model of test validity, construct validity is one of three main types of validity evidence, alongside content validity and criterion validity.

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