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GLIMMPSE Lite: Calculating Power and Sample Size on Smartphone Devices

Author

Listed:
  • Aarti Munjal
  • Uttara R Sakhadeo
  • Keith E Muller
  • Deborah H Glueck
  • Sarah M Kreidler

Abstract

Researchers seeking to develop complex statistical applications for mobile devices face a common set of difficult implementation issues. In this work, we discuss general solutions to the design challenges. We demonstrate the utility of the solutions for a free mobile application designed to provide power and sample size calculations for univariate, one-way analysis of variance (ANOVA), GLIMMPSE Lite. Our design decisions provide a guide for other scientists seeking to produce statistical software for mobile platforms.

Suggested Citation

  • Aarti Munjal & Uttara R Sakhadeo & Keith E Muller & Deborah H Glueck & Sarah M Kreidler, 2014. "GLIMMPSE Lite: Calculating Power and Sample Size on Smartphone Devices," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-26, December.
  • Handle: RePEc:plo:pone00:0102082
    DOI: 10.1371/journal.pone.0102082
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    References listed on IDEAS

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    1. Kreidler, Sarah M. & Muller, Keith E. & Grunwald, Gary & Ringham, Brandy M. & Coker-Dukowitz, Zacchary T. & Sakhadeo, Uttara R. & BarĂ³n, Anna E. & Glueck, Deborah H., 2013. "GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i10).
    2. Johnson, Jacqueline L. & Muller, Keith E. & Slaughter, James C. & Gurka, Matthew J. & Gribbin, Matthew J. & Simpson, Sean L., 2009. "POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i05).
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