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Null Hypothesis Significance Testing |
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traditional method of statistical data analysis, associated with P Level |
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1) The criterion is arbitrary; why is a result of <.05 significant, when the result of <.06 is not? 2) The chances of getting a significant result vary with how many participants are in a study. 3) Too often even experienced researchers interpret nonsignificant as no result. |
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Deciding that one variable has an effect on or a relationship to another variable when it actually does not |
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Type II error is deciding that one variable does not have an effect on or relationship with another variable, when it actually does |
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Most common kind of correlation coefficient |
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