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Using R for Repeated and Time-Series Observations

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Modern Statistical Methods for HCI

Part of the book series: Human–Computer Interaction Series ((HCIS))

Abstract

This chapter explores calculating two types of analyses that are often used for repeated measures designs: within-subjects Analysis of Variance (ANOVA) and Event History Analysis. Within-subjects ANOVA is used when members of a particular sample are exposed to several different conditions or experiments and the measurement of the dependent variable is repeated in each condition, thus inducing correlation between the set of dependent variable measurements for each individual. Event history analysis, by contrast, helps researchers to determine the probability that an event occurs at a particular time interval, making it useful for research questions that want to know how long it takes before the event of interest happens. Both of these analyses have particular relevance for the field of human-computer interaction and this chapter will explore how to use R for these two types of analyses using the Mango watch example.

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Notes

  1. 1.

    Chap. 14 discusses the problems resulting from uncorrected multiple comparisons in HCI, while Chap. 13 advises designing experiments in such a way as to avoid unplanned comparisons.

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Author information

Authors and Affiliations

  1. Moray House School of Education, University of Edinburgh, Edinburgh, UK

    Deborah Fry

  2. Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK

    Kerri Wazny

  3. Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK

    Niall Anderson

Authors
  1. Deborah Fry
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  2. Kerri Wazny
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  3. Niall Anderson
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Corresponding author

Correspondence to Deborah Fry .

Editor information

Editors and Affiliations

  1. Moray School of Education, Edinburgh University, Edinburgh, United Kingdom

    Judy Robertson

  2. Donders Centre for Cognition, Radboud University Nijmegen, Tilburg, The Netherlands

    Maurits Kaptein

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© 2016 Springer International Publishing Switzerland

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Fry, D., Wazny, K., Anderson, N. (2016). Using R for Repeated and Time-Series Observations. In: Robertson, J., Kaptein, M. (eds) Modern Statistical Methods for HCI. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-26633-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-26633-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26631-2

  • Online ISBN: 978-3-319-26633-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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