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Misinterpretation of the p Value
The most common misinterpretation of the value is mistakenly believing it represents the probability that the null hypothesis is true (i.e., the probability that the result occurred by chance). In reality, the value calculates the probability of obtaining the specific sample data assuming the null hypothesis is already true.
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Research Methods in Psychology - 4th American Edition @ KPU
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Factors Determining the p-value
Test Statistic
Misinterpretations of the p-value
Alpha (Level of Significance)
p-hacking
The 2015 Ban on Null Hypothesis Testing
Alpha Criterion
Misinterpretation of the p Value
Misinterpretation of the p Value
Determinants of the Value
Determinants of the Value
What does a p value represent in the context of psychological research?
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Which of the following represents the most common misinterpretation of a p value?
A researcher conducts a study comparing two therapy techniques for reducing test anxiety and obtains a p value of .02. She states: 'There is only a 2% chance that the null hypothesis is true.' This is a correct interpretation of the p value.