Individual information-centered approach for handling physical activity missing data

Minsoo Kang, David A. Rowe, Tiago V. Barreira, Terrance S. Robinson, Matthew T. Mahar

Research output: Contribution to journalArticlepeer-review

56 Scopus citations


The purpose of this study was to validate individual information (II)-centered methods for handling missing data, using data samples of 118 middle-aged adults and 91 older adults equipped with Yamax SW-200 pedometers and Actigraph accelerometers for 7 days. We used a semisimulation approach to create six data sets: three physical activity outcome measurements (i.e., step counts, activity counts, and minutes of moderate to vigorous physical activity) for both groups (i.e., middle-aged adults and older adults). After analyzing each data set separately, we replaced missing values with two II-centered and two group information (GI)-centered methods. Root mean square difference (RMSD), mean signed difference, paired t tests, and Pearson correlations were used to determine the effectiveness of the various recovery methods. Overall, the II-centered methods showed smaller RMSDs than the GI-centered methods for each data set in both groups. We found no significant mean differences between the known values and the replacement values in all conditions. The II-centered methods produced better results than GI-centered methods. We determined substituting missing data points using the average of days remaining to be an accurate missing data recovery method for middle-aged adults' and older adults' pedometer and accelerometer data.

Original languageEnglish (US)
Pages (from-to)131-137
Number of pages7
JournalResearch Quarterly for Exercise and Sport
Issue number2
StatePublished - Jun 2009
Externally publishedYes


  • Accelerometer
  • Missing value
  • Pedometer
  • Recovery method

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Nephrology


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