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Evaluating -Values in a Correlation Test
To determine statistical significance using software output, the computed -value for the correlation is evaluated against a pre-set alpha level. If the -value is less than or equal to , the null hypothesis is rejected, indicating a significant relationship. Conversely, a -value greater than means the null hypothesis is retained due to insufficient evidence.
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Research Methods in Psychology - 4th American Edition @ KPU
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How do standard statistical software programs typically handle the sample correlation coefficient when conducting significance testing?
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When evaluating the results of a correlation test against a pre-set alpha level of , what is the correct statistical decision if the computed -value is less than or equal to ?
If the computed -value for a correlation test is greater than the pre-set alpha level of , the researcher should reject the null hypothesis.