Analyzing dynamic data: A tutorial

William Revelle*, Joshua Wilt

*Corresponding author for this work

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Modern data collection techniques allow for intensive measurement within subjects. Analyzing this type of data requires analyzing data at the within subject as well as between subject level. Although sometimes conclusions will be the same at both levels, it is frequently the case that examining within subject data will show much more complex patterns of results than when they are simply aggregated. This tutorial is a simple introduction to the kind of data analytic strategies that are possible using the open source statistical language, R.

Original languageEnglish (US)
Pages (from-to)38-51
Number of pages14
JournalPersonality and Individual Differences
Volume136
DOIs
StatePublished - Jan 1 2019

Keywords

  • Dynamic data
  • Open source
  • R
  • Repeated measures

ASJC Scopus subject areas

  • Psychology(all)

Fingerprint Dive into the research topics of 'Analyzing dynamic data: A tutorial'. Together they form a unique fingerprint.

  • Cite this