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psy400ch6p138-144

ch6power analysis

TermDefinition
Retrospective power analysis A series of computations that help you determine how much power you had in a study after the fact.
If you are dealing with an entirely new area, you always have the option to do a pilot study first to get a handle on the effect size.
Why Is Power Often Underemphasized? the issue of power can be evaded by having many analyses where at least some findings are likely to emerge as significant
bias for obtaining statistical significance in psychological research that has likely contributed to the problem
Statistical significance An indicator of the probability of obtaining an effect size as large as (or larger than) the one you obtained.
real-world implications of underpowered research fail to detect meaningful effects
FORMULATE AN ANALYSIS PLAN including an analysis plan in your protocol design may help to keep “ false positives" in your research findings to a minimum
You want your hypothesis—not the significant statistical results you may gather— to drive your research and analyses
Thinking carefully about how you will analyze your data will lead to a more thorough study design
p-Hacking: The process of deliberately manipulating factors in your research to maximize your chance of uncovering a statistically significant finding (p <.05)
exploring your data for potentially statistically significant findings after your study is completed leaves you open to the appearance of "p-Hacking"
you must disclose fully any steps you undertake that may either intentionally or unintentionally enhance your chances of uncovering statistically significant findings
p-Hacking can include dropping groups, specific cases, or variables from an analysis or adding analyses that were not part of an initial plan.
Clearly define your population of interest, giving thought to the criteria for inclusion and exclusion
Consider representativeness, payment, measurements, power analysis, and a general analysis plan
Created by: james22222222
 

 



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