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Power Analysis
A power analysis is a statistical calculation performed during the design phase of a study to determine the exact number of participants needed to reliably detect a specific expected effect. Because the likelihood of finding a statistically significant relationship between variables depends heavily on both the size of the sample and the number of experimental conditions, researchers conduct this analysis to ensure their study has sufficient statistical power to test their hypothesis effectively.
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Research Methods in Psychology - 4th American Edition @ KPU
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Power Analysis
Which of the following best describes what is evaluated by statistical validity in a research study?
Match each component of statistical validity with the role it plays in evaluating psychological research results.
A psychology researcher wants to compare the average reaction times of three different groups: a low-caffeine group, a high-caffeine group, and a no-caffeine control group. If the researcher chooses to use a -test to analyze the differences among these three groups, they are maintaining high statistical validity.
Arrange the following steps in the logical order a researcher must follow to ensure their numerical conclusions are sound and their statistical treatments are correct, beginning with the initial categorization of data.
Imagine you are designing a study to determine if three different study environments ('silent', 'classical music', or 'white noise') produce different average scores on a memory test measured on a ratio scale from to . Which of the following research plans would you construct to ensure the highest level of statistical validity for your final conclusions?
A researcher can guarantee high statistical validity simply by choosing the correct inferential test, regardless of whether the sample size is adequate or the mathematical assumptions of the test are met.
A researcher finds a significant difference between two groups using a -test (), but a critic argues the results are unsound because the data violated the test's mathematical assumptions and the sample size was too small. By judging the soundness of the researcher's numerical conclusions in this way, the critic is focusing on the study's _____ validity.
A researcher wants to compare the scores of two groups using a -test. To ensure the study has high statistical validity, the researcher must not only select the correct test but also verify that the data does not violate the underlying mathematical _____ of that test.
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Which of the following best describes the primary purpose of conducting a power analysis during the design phase of a study?
Match each term related to power analysis with the statement that best describes its role or definition in psychological research design.
Dr. Aris is designing a study on a new teaching method that she expects will produce a very small effect on student test scores. A power analysis will likely indicate that she needs a larger sample of participants to reliably detect this effect compared to a study looking for a much larger effect size.
Based on the logic of power analysis, arrange the following research scenarios in order from the one that would require the smallest sample size (Order 1) to the one that would require the largest sample size (Order 3).
At which stage of the research process is a power analysis typically performed by a researcher?
By identifying the specific number of participants needed to reliably detect an expected effect, a power analysis can help researchers avoid the inefficient use of resources that occurs when recruiting a larger sample than is statistically required.
A peer reviewer evaluates a research manuscript and critiques the authors for using a sample size of only , arguing it is likely too small to detect the hypothesized effect. To have justified their sample size and evaluated the design's adequacy during the planning phase, the authors should have conducted a(n) _____.
Match each research design scenario with its corresponding implication for conducting a power analysis to ensure statistical validity.
A researcher increases the number of experimental conditions in their study from two to five. To analyze how this change affects the likelihood of detecting a significant relationship, the researcher must calculate the new number of participants needed to maintain adequate statistical _____.
Order the following steps a researcher should take to evaluate and ensure the statistical validity of their study design, from the earliest planning step to the final analysis step.