An Explanation of Statistical Tools from

A consulting practice focusing on working with colleges', organizations', and individuals' utilization of quantitative and qualitative assessment tools to analyze and document their quality outcomes through providing staff development, research design and analysis, and psychometric evaluations.

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Comparing Validity and Reliability

Frequently reliability and validity are confused when individuals are considering tool characteristics.  The following illustration may help us understand these concepts better.

bullet Reliable, not Valid:  When measurements are consistent (clustered), but  they don't hit the target they are reliable but not valid.  This missing the target usually indicates that the concepts requires substantial rethinking.
bullet Valid, not reliable:  When measures are scattered widely around the target but they are not tightly clustered they valid, but not reliable.  This wide spread indicates that the indicators are not focused on the core concepts.
bullet Neither Valid, nor Reliable:  When measures are scattered but not focused around a core concept they are neither valid nor reliable.   This missing the target without clustering indicates that the entire tool needs to be rethought.
bullet Both Valid and Reliable:  The measurements are consistent and tightly focused around the core concept.  This indicates that the tool is a solid measure of the concept.

bullet Statistical measures of reliability
bullet Statistical measures of validity

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Copyright © 2016 by Peter T. Klassen, Ph.D. Principal,
11 June, 2016