This paper is in the following e-collection/theme issue:

Fitness Trackers and Smart Pedometers/Accelerometers (684) Evaluation and Research Methodology for mHealth (251) Research Instruments, Questionnaires, and Tools (764) mHealth for Data Collection and Research (1223) Wearable Devices and Sensors (1177) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1010) Instruments and Questionnaires for Physical Activity and Lifestyle (122)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64323, first published .
Determining Cluster-Specific Differences in the Number of Days Required to Reliably Predict Habitual Physical Activity: Intraclass Correlation Resampling Analysis

Determining Cluster-Specific Differences in the Number of Days Required to Reliably Predict Habitual Physical Activity: Intraclass Correlation Resampling Analysis

Determining Cluster-Specific Differences in the Number of Days Required to Reliably Predict Habitual Physical Activity: Intraclass Correlation Resampling Analysis

Authors of this article:

Conor Jordan Murphy1, 2 Author Orcid Image ;   Gabriel M Jouan1, 3 Author Orcid Image ;   Katrin Y Friðgeirsdóttir1, 2 Author Orcid Image ;   Anna Sigridur Islind1, 3 Author Orcid Image ;   Jose M Saavedra1, 2 Author Orcid Image ;   María Óskarsdóttir3 Author Orcid Image ;   Erna Sif Arnardóttir1 Author Orcid Image
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