Applying proportional hazards models to response time data

Michael J. Wenger, Christof Schuster, Lindsay E. Petersen, Ronald C. Petersen

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this chapter, we argue that the standard approaches to sum­ marizing and analyzing these response time (RT) data are not wellsuited to the fundamental constructs that researchers desire to assess. Specifically, we argue that although researchers are interested in measuring levels of and changes in the real-time capacity of individuals to process external and internal information, typical analyses only provide information about the average speed with which experimental tasks are performed. Further, we suggest that a set of reasonably well-known statistical techniques can be applied to RT data to allow direct inferences about real-time information processing capacity.

Original languageEnglish (US)
Title of host publicationMethodological Issues in Aging Research
PublisherTaylor and Francis
Pages231-267
Number of pages37
ISBN (Electronic)9781317824510
ISBN (Print)9780805843781
DOIs
StatePublished - Jan 1 2015

ASJC Scopus subject areas

  • Psychology(all)
  • Social Sciences(all)

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    Wenger, M. J., Schuster, C., Petersen, L. E., & Petersen, R. C. (2015). Applying proportional hazards models to response time data. In Methodological Issues in Aging Research (pp. 231-267). Taylor and Francis. https://doi.org/10.4324/9781315820989-13