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Validation of statistical findings

Increase the internal and external validity of inferences

The validity of statistical findings can always be called into question due to 1) the biases (selection and observation) that exist in research methodologies and 2) the assumptions associated with conducting inferential statistics (normality, homoscedasticity, linearity). There are three primary methods for validating statistical findings: Split-group, jack-knife, and bootstrap. Click on a button below to learn more about validating statistical findings.

Methods for validating statistical findings

Take thousands of random samples from a group of participants to yield 95% confidence intervals for statistical differences or associations.
Bootstrap
Randomly assign participants into one of two groups, the derivation group and the confirmatory group, and run statistics on each set.
Split-Group
Run statistical analyses on every independent sample possible with each participant removed one time.
Jack-Knife

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Hire A Statistician - Statistical Consulting for Students

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Eric Heidel, Ph.D. will provide the following statistical consulting services for undergraduate and graduate students at $75/hour. Secure checkout is available with Stripe, Venmo, Zelle, or PayPal.


  • Statistical Analysis 
  • Research Design
  • Sample Size Calculations
  • Diagnostic Testing and Epidemiological Calculations
  • Survey Design and Psychometrics

There are three methods for validation of statistical findings: Bootstrap, split-group, and jack-knife.

Contact Dr. Eric Heidel
consultation@scalelive.com
(865) 742-7731

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