Reporting the reliability of accelerometer data with and without missing values.

ABSTRACT:

Objectives

Participants with complete accelerometer data often represent a low proportion of the total sample and, in some cases, may be distinguishable from participants with incomplete data. Because traditional reliability methods characterize the consistency of complete data, little is known about reliability properties for an entire sample. This study employed Generalizability theory to report an index of reliability characterizing complete (7 days) and observable (1 to 7 days) accelerometer data.

Design

Cross-sectional.

Methods

Accelerometer data from the Study of Early Child Care and Youth Development were analyzed in this study. Missing value analyses were conducted to describe the pattern and mechanism of missing data. Generalizability coefficients were derive

SUBMITTER: Wickel EE 

PROVIDER: S-EPMC4257690 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature