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Causality in Statistical Power: Isomorphic Properties of Measurement, Research Design, Effect Size, and Sample Size
Author
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-03-17
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
Statistical power is the ability to detect a significant effect, given that the effect actually exists in a population.
Like most statistical concepts, statistical power tends to induce cognitive dissonance in hepatology researchers.
However, planning for statistical power by an a priori sample size calculation is of paramount importance when designing a research study.
There are five specific empirical components that make up an a priori sample size calculation: the scale of measurement of the outcome, the research design, the magnitude of the effect size, the variance of the effect size, and the sample size.
A framework grounded in the phenomenon of isomorphism, or interdependencies amongst different constructs with similar forms, will be presented to understand the isomorphic effects of decisions made on each of the five aforementioned components of statistical power.
American Psychological Association (APA)
Heidel, R. Eric. 2016. Causality in Statistical Power: Isomorphic Properties of Measurement, Research Design, Effect Size, and Sample Size. Scientifica،Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1117946
Modern Language Association (MLA)
Heidel, R. Eric. Causality in Statistical Power: Isomorphic Properties of Measurement, Research Design, Effect Size, and Sample Size. Scientifica No. 2016 (2016), pp.1-5.
https://search.emarefa.net/detail/BIM-1117946
American Medical Association (AMA)
Heidel, R. Eric. Causality in Statistical Power: Isomorphic Properties of Measurement, Research Design, Effect Size, and Sample Size. Scientifica. 2016. Vol. 2016, no. 2016, pp.1-5.
https://search.emarefa.net/detail/BIM-1117946
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1117946