Statistical conclusion validity

<p>Statistical conclusion validity is the degree to which conclusions about the relationship among <a href="/facts/Variable_(research)/vJm09hAC">variables</a> based on the data are correct or "reasonable". This began as being solely about whether the statistical conclusion about the relationship of the variables was correct, but now there is a movement towards moving to "reasonable" conclusions that use: quantitative, statistical, and qualitative data. Fundamentally, two types of errors can occur: <a href="/facts/Type_I_and_type_II_errors/aazbF3fq">type I</a> (finding a difference or correlation when none exists) and <a href="/facts/Type_I_and_type_II_errors/aazbF3fq">type II</a>  (finding no difference or correlation when one exists). Statistical conclusion validity concerns the qualities of the study that make these types of errors more likely. Statistical conclusion validity involves ensuring the use of adequate sampling procedures, appropriate statistical tests, and reliable measurement procedures.
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Statistical conclusion validity open-in-new

Statistical conclusion validity