Abstract
RTSYS is a menu-driven DOS application for the manipulation, analysis, and graphical display of reaction time data. It can be used either in a single-task environment under DOS, with access to a set operating system commands, or as an application under Windows. All functions have context-sensitive help. RTSYS fits the ex-Gaussian distribution to reaction time data without the difficulties usually associated with numerical parameter estimation. Distribution fitting and flexible censoring and rescaling options allow RTSYS to address the problems of reaction time distribution skew and outlying responses with reasonable sample sizes. RTSYS can automatically process multiple input files from experiments with arbitrary designs and produce formatted output of statistics for further processing by graphical and inferential statistical packages. The present article reviews and explains techniques used by RTSYS and provides an overview of the operation of the program.
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Box, G. E. P., &Cox, D. R. (1964). An analysis of transformations (with discussion).Journal of the Royal Statistical Society B,26, 211–246.
Box, G. E. P., &Cox, D. R. (1982). An analysis of transformations revisited, rebutted.Journal of the American Statistical Association,77, 209–210.
Burbeck, S. L., &Luce, R. D. (1982). Evidence from auditory simple reaction times for both change and level detectors.Perception & Psychophysics,32, 117–133.
Cox, D. R., &Hinkley, D. V. (1974).Theoretical statistics. London: Chapman & Hall.
D’Angostino, R. B., &Stephens, M. A. (1986).Goodness-of-fit techniques. New York: Dekker.
Dawson, M. R. W. (1988). Fitting the ex-Gaussian equation to reaction time distributions.Behavior Research Methods, Instruments, & Computers,20, 54–57.
Dobson, A. J. (1983).An introduction to statistical modelling. London: Chapman & Hall.
Efron, B., &Tibshirani, R. J. (1993).An introduction to the bootstrap. New York: Chapman & Hall.
Heath, R. A., &Willcox, C. H. (1990). A stochastic model for interkeypress times in a typing task.Acta Psychologica,75, 13–39.
Heathcote, A. (1988). Screen control and timing routines for the IBM microcomputer family using a high-level language.Behavior Research Methods, Instruments, & Computers,20, 289–297.
Heathcote, A. (1994, September).Reaction time distribution. Seminar presented to the Department of Psychology, University of New South Wales, Sydney, Australia.
Heathcote, A. (1995a).Measurement noise and models of cognition. Paper presented at the Third Australian Cognitive Science Conference, Brisbane, Australia.
Heathcote, A. (1995b). A neural model of speed and accuracy. InProceedings of the Sixth Australian Conference on Neural Networks (pp. 237–240). Sydney, Australia: University of Sydney, Department of Electrical Engineering.
Heathcote, A., Popiel, S. J., &Mewhort, D. J. K. (1991). Analysis of response time distributions: An example using the Stroop task.Psychological Bulletin,109, 340–347.
Hilgard, E. (1938). A summary and evaluation of alternative procedures for the construction of Vincent curves.Psychological Bulletin,35, 282–297.
Hockley, W. E. (1984). Analysis of response time distributions in the study of cognitive processes.Journal of Experimental Psychology: Learning, Memory, & Cognition,6, 598–615.
Hohle, R. H. (1965). Inferred components of reaction times as functions of foreperiods duration.Journal of Experimental Psychology,69, 382–386.
Johnson, D. M. (1939). Confidence and speed in the two-category judgment.Archives of Psychology,241, 1–53.
Kendall, M. G., &Buckland, W. R. (1967).A dictionary of statistical terms. New York: Hafner.
Kendall, M. G., &Stuart, A. (1967).The advanced theory of statistics: Vol. 2. Inference and relationship (2nd ed.). London: Griffin.
Kendall, M. G., Stuart, A., &Ord, J. K. (1987).Kendall’s advanced theory of statistics: Vol. 1. Distribution theory (5th ed.). New York: Oxford University Press.
Kennedy, W. J., Jr., &Gentle, J. E. (1980).Statistical computing. New York: Dekker.
Link, S. W. (1968).Bisensory choice reactions. Unpublished doctoral dissertation, Stanford University.
Link, S. W. (1982). Correcting response measures for guessing and partial information.Psychological Bulletin,92, 469–486.
Luce, R. D. (1986).Response times: Their role in inferring elementary mental organization. New York: Oxford University Press.
McGill, W. J. (1963). Stochastic latency mechanisms. In R. D. Luce & R. R. Bush (Eds.),Handbook of mathematical psychology (Vol. 1, pp. 309–360). New York: Wiley.
Meijers, L. M. M., &Eijkman, E. G. J. (1974). The motor system in simple reaction time experiments.Acta Psychologica,38, 367–377.
Mewhort, D. J. K., Braun, J. G., &Heathcote, A. (1992). Response time distributions and the Stroop task: A test of the Cohen, Dunbar, and McClelland (1990) model.Journal of Experimental Psychology: Human Perception & Performance,18, 872–882.
Ollman, R. (1966). Fast guesses in choice reaction time.Psychonomic Science,6, 155–156.
Pachella, R. G. (1974). The interpretation of reaction time in information-processing research. In B. Kantowitz (Ed.),Human information processing: Tutorials in performance and cognition (pp. 41–82). Hillsdale, NJ: Erlbaum.
Press, W. H., Flannery, B. P., Teukolsky, S. A., &Vetterling, W. T. (1988).Numerical recipes: The art of scientific computing. Cambridge: Cambridge University Press.
Ratcliff, R. (1978). A theory of memory retrieval.Psychological Review,85, 59–108.
Ratcliff, R. (1979). Group reaction time distributions and an analysis of distribution statistics.Psychological Bulletin,86, 446–461.
Ratcliff, R. (1993). Methods for dealing with reaction time outliers.Psychological Review,114, 510–532.
Ratcliff, R., &Murdock, B. B. (1976). Retrieval processes in recognition memory.Psychological Review,83, 190–214.
Silverman, B. W. (1986).Density estimation for statistics and data analysis. London: Chapman & Hall.
Smith, P. (1995). Psychophysically-principled models of visual simple reaction time.Psychological Review,102, 567–593.
Tarter, M. E., &Lock, M. D. (1993).Model-free curve estimation. New York: Chapman & Hall.
Tukey, J. W. (1960). A survey of sampling from contaminated distributions (pp. 448–485). In I. Olkin (Ed.),Contributions to probability and statistics. Stanford, CA: Stanford University Press.
Ulrich, R., &Miller, J. (1993). Information processing models generating Lognormally distributed reaction times.Journal of Mathematical Psychology,37, 513–525.
Ulrich, R., &Miller, J. (1994). Effects of outlier exclusion on reaction time analysis.Journal of Experimental Psychology: General,123, 34–80.
Van Zandt, T., &Ratcliff, R. (1993, August).Mimicking multiple processes with single-process models: Mixtures and parameter drift. Paper presented at the 26th Annual Mathematical Psychology Meeting, Norman, OK.
Vincent, S. B. (1912). The function of the vibrisse in the behaviour of the white rat.Behaviour Monographs,1 (Whole No. 5).
Yellot, J. I., Jr. (1967). Correction for guessing in choice reaction time.Psychonomic Science,8, 321–322.
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The development of RTSYS began during the author’s doctoral research, which was supported by a Canadian Commonwealth Fellowship. Thanks to Doug Mewhort and Richard Heath for comments on the first draft of this manuscript, to Trish Van Zandt, Steve Link, and an anonymous reviewer for their comments, and to the numerous people who have tested versions of RTSYS. Thanks also to Sarah Ogilvie for proofreading the manuscript and providing a quiet place in Melbourne to finish this project.
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Heathcote, A. RTSYS: A DOS application for the analysis of reaction time data. Behavior Research Methods, Instruments, & Computers 28, 427–445 (1996). https://doi.org/10.3758/BF03200523
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DOI: https://doi.org/10.3758/BF03200523