Counterbalancing for serial order carryover effects in experimental condition orders

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Brooks, Joseph L (2012)

Reactions of neural, psychological, and social systems are rarely, if ever, independent of previous inputs and states. The potential for serial order carryover effects from one condition to the next in a sequence of experimental trials makes counterbalancing of condition order an essential part of experimental design. Here, a method is proposed for generating counterbalanced sequences for repeated-measures designs including those with multiple observations of each condition on one participant and self-adjacencies of conditions. Condition ordering is reframed as a graph theory problem. Experimental conditions are represented as vertices in a graph and directed edges between them represent temporal relationships between conditions. A counterbalanced trial order results from traversing an Euler circuit through such a graph in which each edge is traversed exactly once. This method can be generalized to counterbalance for higher order serial order carryover effects as well as to create intentional serial order biases. Modern graph theory provides tools for finding other types of paths through such graph representations, providing a tool for generating experimental condition sequences with useful properties.
  • References (21)
    21 references, page 1 of 3

    Pashler, H., & Baylis, G. (1991a). Procedural Learning: 1. Locus of Practice Effects in Speeded Choice Tasks. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17(1), 20-32.

    Pashler, H., & Baylis, G. (1991b). Procedural Learning: 2. Intertrial Repetition Effects in Speeded-Choice Tasks. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17(1), 33-48.

    Pasley, B. N., Allen, E. A., & Freeman, R. D. (2009). State-dependent variability of neuronal responses to transcranial magnetic stimulation of the visual cortex. Neuron, 62(2), 291-303. doi:10.1016/j.neuron.2009.03.012

    Paterson, L. (1983). Circuits and efficiency in incomplete block designs. Biometrika, 70(1), 215- 225. doi:10.1093/biomet/70.1.215

    Poulton, E. C. (1982). Influential companions: Effects of one strategy on another in the withinsubjects designs of cognitive psychology. Psychological Bulletin, 91(3), 673-690.

    Sampford, M. R. (1957). Methods of Construction and Analysis of Serially Balanced Sequences. Journal of the Royal Statistical Society, B, 19(2), 286-304.

    Schlich, P. (1993). Uses of change-over designs and repeated measurements in sensory and consumer studies. Food Quality and Preference, 4(4), 223-235.

    Silvanto, J., Muggleton, N., & Walsh, V. (2008). State-dependency in brain stimulation studies of perception and cognition. Trends in cognitive sciences, 12(12), 447-454. doi:10.1016/j.tics.2008.09.004

    Sohn, H.-S., Bricker, D. L., Simon, J. R., & Hsieh, Y.-chih. (1997). Optimal sequences of trials for balancing practice and repetition effects. Behavior Research Methods, Instruments, & Computers, 29(4), 574-581. doi:10.3758/BF03210610

    Staddon, J. E., King, M., & Lockhead, G. R. (1980). On sequential effects in absolute judgment experiments. Journal of Experimental Psychology: Human Perception and Performance, 6(2), 290-301.

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