Type 2 error, Effect sizes, Beta and Power

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Description and Tags

Evidence Based Practice

5 Terms

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Type 2 Error

A false negative - accepting the null hypothesis when there is a statistical difference.

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Power

Detects the chances that the study will find a true, significant difference anf a false null hypothesis will be rejected.

<p>Detects the chances that the study will find a true, significant difference anf a false null hypothesis will be rejected.</p>
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Effect size

A measurement of the magnitude of a statistical difference and its practical significance.

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Cohen’s d

Standardised effect size:

small (d=.2)

medium (d=.5)

large (d=.8)

Used in t-tests

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A priori sample size calculation

Determines the sample size needed for a high effect size and reliability of findings.