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Misinterpretations of the p-value
A common criticism of null hypothesis testing stems from researchers misinterpreting the -value. A frequent error is believing that the -value represents the probability that the null hypothesis is true, rather than the probability of observing the sample data if the null hypothesis were true. Another closely related misconception is assuming that equals the probability of replicating a statistically significant result, a claim that is overly optimistic and ignores the crucial role of statistical power in replication.
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Research Methods in Psychology - 4th American Edition @ KPU
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Don't make such black and white interpretations
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
What does a p value represent in the context of psychological research?
If a psychology researcher calculates a p-value of 0.08, they will typically declare the experimental result to be statistically significant.
A social psychologist is analyzing data from four different studies. Based on the standard thresholds for statistical significance provided in the table, match each study's obtained p value with its correct interpretation.
Misinterpretation of the p Value
Determinants of the Value
A researcher obtains a value of and labels the result 'highly significant' (). According to standard significance thresholds, where and , this labeling is _____.
A cognitive psychologist conducts an experiment on learning styles and calculates a value of . Applying the standard threshold of significance () described in the text, the researcher should declare this result to be statistically significant.
Define what a value represents in the context of an experiment and state the standard threshold for declaring an experimental result to be statistically significant.
Reporting Effect Sizes in Null Hypothesis Significance Testing
Using the convention stated in this question for marking results with asterisks (a cut-off value itself counts as meeting it), match each label with the range of values it marks.
By a common convention in psychology, a result is declared statistically significant when . For a result exactly at this threshold (), results at least as extreme would occur, under the test's model (the null hypothesis plus the test's assumptions), time in how many?
By a common convention in psychology, a result is declared statistically significant when . For a result exactly at this threshold (), if the null hypothesis and the test's assumptions were true, results at least as extreme would occur 1 time in _____.
Arrange the following three values in ascending numerical order, from the smallest (1) to the largest (3).
A psychologist has values from four different studies. Arrange the values in ascending numerical order, from the smallest to the largest. (This orders the numbers only: values from different studies, each calculated under its own model, do not by themselves rank how strong the evidence is.)
A psychology student runs an analysis on their study's data and obtains a value of . Using the common convention of a significance level of (a result is significant when ), what conclusion should the student draw about their experimental result, and why?
Based on the definition of a value and a significance level of set in advance, explain in your own words what it means if, assuming the null hypothesis and the test's assumptions were true, a result at least as extreme as the researchers' would occur less than 1 time in 20, and what this does not establish.
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What is a frequent error researchers make when interpreting a p-value?
If a study yields a statistically significant result with a p-value of .04, it means there is a 96% probability that a replication of the study will also achieve a statistically significant result.
A psychologist conducts a study on a new mnemonic technique and obtains a result of p = 0.03. Match each statement about this result to the specific interpretation category it represents.
A researcher obtains a -value of .04 and concludes that there is a 96% probability that a replication of the study will also yield a statistically significant result. This interpretation is an error because the -value does not account for __________, which is a crucial factor that determines the actual likelihood of reproducing a finding.
A researcher obtains a result of and claims there is a probability that a replication of the study will also yield a statistically significant result. Arrange the following steps in the logical process of evaluating the validity of this researcher's claim, from the initial analysis of their reasoning to the final judgment of the interpretation.
You are designing a standardized reporting protocol for a psychology lab to ensure that researchers do not misinterpret their findings. For a study that yields a result of , which of the following reporting structures should you construct to correctly define the significance level while explicitly guarding against the common misconceptions regarding the probability of the null hypothesis and the likelihood of replication?
In a psychological experiment, the -value represents the probability that the null hypothesis is true.
A researcher publishes a study on a new teaching method and reports a result of . Match each statement about this result to its correct description.
A psychology student critiques a research paper where the authors claim that a -value of .05 means there is a 95% chance of replicating the study's significant findings. The student correctly notes that this claim is overly optimistic because it ignores the crucial role of statistical _____ in replication.
A peer reviewer is evaluating a manuscript containing the claim: 'Our study yielded , indicating a 4% chance that the null hypothesis is true and a 96% chance that a replication will be successful.' Arrange the steps in the logical order the reviewer should follow to evaluate and correct this claim.
Describe the two common misinterpretations of the -value discussed in the text, and state the actual definition of a -value.
Based on your understanding of null hypothesis testing, diagnose the errors in the researchers' interpretation of their -value.
A student researcher calculates a -value of .04 for an experiment and wants to include the probability of successfully replicating the study in their final report. How should the student correctly report the probability of replication based solely on this -value?