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Alpha (Level of Significance)
In null hypothesis testing, alpha () is the predetermined criterion used to decide how low a -value must be before a sample result is considered unlikely enough to reject the null hypothesis. It is almost always set to 0.05. This means that if there is a 5% chance or less of observing a result at least as extreme as the sample result when the null hypothesis is true, researchers will reject the null hypothesis.
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Research Methods in Psychology - 4th American Edition @ KPU
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Misinterpretations of the p-value
Alpha (Level of Significance)
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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.
Based on the standard definition of a value and its typical threshold, explain in your own words what it means if the researchers determined the probability of their outcome occurring purely by chance was less than 1 in 20.
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?
Learn After
Retaining the Null Hypothesis
Trade-off Between Type I and Type II Errors
Type I Error
In the context of psychological research, what does it mean for a researcher to set the level of significance (alpha, or ) at .05?
A researcher investigating the impact of social media on self-esteem sets the level of significance () at .05. After collecting and analyzing the data, they obtain a value of .06. True or False: The researcher should reject the null hypothesis because the result is very close to the significance level.
A researcher is evaluating the results of a psychological study using a standard significance level () of .05. Match each component of the null hypothesis testing process to its correct analytical role or logical condition in the decision-making process.
Rank the following significance levels () based on their effectiveness in preventing a researcher from incorrectly rejecting the null hypothesis, from the 'most protective' (strictest) level to the 'least protective' (most lenient) level.
In the context of null hypothesis testing within psychological research, what is the numerical value almost always used as the level of significance ()?
Match each component of the level of significance () to its conceptual role in the process of null hypothesis testing.
A researcher sets her significance level at before beginning a study on caffeine and reaction time. After data collection and analysis, she obtains a value of exactly .05. True or False: This result meets the alpha criterion, and the researcher should reject the null hypothesis.
When the null hypothesis is actually true and a researcher has set , the researcher will mistakenly reject the null hypothesis _____ % of the time—demonstrating that alpha simultaneously functions as both the decision threshold for the value and the long-run rate of a specific type of decision error.
A psychology student is designing a study on mindfulness training and stress levels. Evaluate the logical order of the following steps involved in correctly applying alpha () within null hypothesis testing, arranging them from first (1) to last (5).
In null hypothesis testing, the predetermined criterion used to decide how low a value must be before a sample result is considered unlikely enough to reject the null hypothesis is called _____.
Define the term alpha () in the context of null hypothesis testing and state its most commonly used numerical value in psychological research.
Based on the definition of alpha (), explain what setting this criterion to .05 means regarding the probability of making a decision error if the training program actually has no effect (i.e., if the null hypothesis is true).
A clinical psychologist designs an experiment to test whether a new therapy reduces depressive symptoms and sets the level of significance () to .05. After analyzing their sample data, they obtain a value of .03. Apply the rules of null hypothesis testing to determine and justify whether the psychologist should reject or retain the null hypothesis.