Analysis of Response Time Distributions
By T. Zandt. 2002
190 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Food Science
View Paper: https://www.semanticscholar.org/paper/b2556774493ebf624a091eaf71ee22885ef89536
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- David A. Balota
- R. Harald Baayen
- M. Yap
- Max Coltheart
- Petar Milin
- L. Nickels
- Davide Crepaldi
- Jason M. Watson
In Experimental and Cognitive Psychology
- Petar Milin
- Robert A. Whelan
- Jason M. Watson
- Jeremy M. Wolfe
- David A. Balota
- Karl Christoph Klauer
- Max Coltheart
- M. Yap
In Food Science
- Petar Milin
- R. Harald Baayen
- Robert A. Whelan
- Jason M. Watson
- Jeremy M. Wolfe
- David A. Balota
- Karl Christoph Klauer
- Max Coltheart
Citations in the corpus
- Beyond mean response latency: Response time distributional analyses of semantic priming (2008, methodology): “Fitting an obtained RT distribution to an explicit mathematical function There has been considerable work describing how best to capture empirical RT distributions (see Heathcote, Brown, & Mewhort, 2002; Luce, 1986; Rouder et al., 2005; Van Zandt, 2000, 2002).”
- Applying processing trees in social psychology (2016, background): “Sequential and positional effects are frequently found in response-latency data (Van Zandt, 2002), whereas little is known about their prevalence in categorical-response data in the kind of paradigms discussed so far.”
- ‘Fell’ primes ‘fall’, but does ‘bell’ prime ‘ball’? Masked priming with irregularly-inflected primes (2010, methodology): “…points were considered to be outliers was determined independently for each experiment: a histogram of the reaction times was plotted and the first empty bin (i.e., the first zero of the density function) was taken as the cut-off value (see, e.g., Ratcliff, 1993; Sprent, 1998; van Zandt, 2002).”
- Guided Search 4.0: Current Progress With a Model of Visual Search (2007, background): “Van Zandt and Ratcliff (2005) note that “the increasing then decreasing hazard is ubiquitous” and are an indication that the RT distribution is a mixture of two or more underlying distributions.”
- Analyzing Reaction Times (2010, methodology): “Conversely, if the effect is not in the tail, then removing long RTs increases statistical power (c.f., Ratcliff, 1993; Van Zandt, 2002).”
- Effective Analysis of Reaction Time Data (2008, methodology): “…and the data included outliers, the ability to detect the difference with an ANoVA on mean rt was severely reduced. this type of analysis is common (Van Zandt, 2002); for example, in Dibbets, Maes, and Vossen (2002) and Fields, landon-Jimenez, Buffington, and Adams (1995) mean raw rt was reported.…”