Recommended effect size interpretations for one-dimensional functional data

Todd Pataki; Alessia Pini; Ezio Preatoni; Lina Schelin

Recommended effect size interpretations for one-dimensional functional data

Todd Pataki, Alessia Pini, Ezio Preatoni, Lina Schelin

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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Abstract

We present effect size (Cohen’s d-value) interpretations for functional data that are probabilistically equivalent to conventional interpretation guidelines for scalar data. Results suggest that traditionally “Large” effects occur with a high probability in functional data, and ought to be regarded as “Small” or “Very small” for probabilistic consistency.

Original language	English
Title of host publication	Abstract book of the 30th Congress of the International Society of Biomechanics (ISB)
Publisher	International Society of Biomechanics (ISB)
Number of pages	1
Publication status	E-pub ahead of print - 2 Apr 2025
Event	Congress of the International Society of Biomechanics (ISB) - Stockholm, Sweden Duration: 27 Jul 2025 → 31 Jul 2025 Conference number: 30 https://isb2025.com/

Conference

Conference	Congress of the International Society of Biomechanics (ISB)
Country/Territory	Sweden
City	Stockholm
Period	27/07/25 → 31/07/25
Internet address	https://isb2025.com/

Access to Document

ISB2025-PatakyAccepted author manuscript, 163 KB

Cite this

Recommended effect size interpretations for one-dimensional functional data. / Pataki, Todd; Pini, Alessia; Preatoni, Ezio et al.
Abstract book of the 30th Congress of the International Society of Biomechanics (ISB). International Society of Biomechanics (ISB), 2025. 80723.

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

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