Statistical power and research designs
The researcher's choice of research design greatly impacts statistical power
Between-subjects research designs where independent groups are compared on an outcome will decrease statistical power and increase the needed sample size because more observations are needed to detect differences between independent groups.
Within-subjects designs, by far, are the most statistically powerful type of research design. This is because each participant serves as their own control.
Multivariate designs, by default, will always require larger sample sizes in order to detect any interactions or confounding effects associated with the relationship between predictor and outcome variables. At least 20-40 outcomes must be collected for each parameter (or variable) that is entered into a multivariate model.
What type of research design will answer the research question?
Statistician Services for Professionals
Eric Heidel, Ph.D. will provide the following services for researchers, professionals, and organizations at $100/hour. Secure checkout is available with Stripe or PayPal.
- Statistical Analysis
- Research Design
- Sample Size Calculations
- Diagnostic Testing and Epidemiological Calculations
- Survey Design and Psychometrics
AppNotch: Convert this website into an Android and iOS app.
AppNotch team will notify you when your app gets approved in Google Play and Apple iTunes App Stores. Once your app goes live, enter your App Store URLs in this property window, publish your Weebly site and your app store icons will be visible in this page.
Please visit AppNotch.com FAQ to learn more about how to add App Store icons to your website, update your app, send Push notifications and more.
Professional Statistician For Hire!
Copyright © 2017 Scalë. All Rights Reserved. Patent Pending.