2018
DOI: 10.3758/s13428-018-1170-0
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A new nonparametric test for the race model inequality

Abstract: The race model inequality (RMI), as first introduced by Miller (Cognitive Psychology, 14, 247-279, 1982), entails an upper bound on the amount of statistical facilitation for reaction times (RTs) attainable by a race model within the redundant-signals paradigm. A violation of RMI may be considered as empirical evidence for a coactivation model rather than a race model. Here, we introduce a novel nonparametric procedure for evaluating the RMI for single participant analysis. The statistical procedure is based o… Show more

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Cited by 6 publications
(4 citation statements)
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“…A critical assumption in the field of race models, reviewed and analyzed in detail below, that has played a dominant role in multi-sensory perception, is that of context invariance. For approximately 40 years this assumption has been thought to be empirically untestable (see e.g., Lombardi, D'Alessandro, & Colonius, 2019;Luce, 1986;Ashby & Townsend, 1986). A contribution of the present investigation is that we demonstrate that if the experimenter utilizes both an OR (i.e., disjunctive stopping rule) as well as an AND (i.e., conjunctive stopping rule), then certain types of outcomes concerning workload capacity predictions, can falsify context invariance.…”
Section: Introductionmentioning
confidence: 59%
See 1 more Smart Citation
“…A critical assumption in the field of race models, reviewed and analyzed in detail below, that has played a dominant role in multi-sensory perception, is that of context invariance. For approximately 40 years this assumption has been thought to be empirically untestable (see e.g., Lombardi, D'Alessandro, & Colonius, 2019;Luce, 1986;Ashby & Townsend, 1986). A contribution of the present investigation is that we demonstrate that if the experimenter utilizes both an OR (i.e., disjunctive stopping rule) as well as an AND (i.e., conjunctive stopping rule), then certain types of outcomes concerning workload capacity predictions, can falsify context invariance.…”
Section: Introductionmentioning
confidence: 59%
“…Considerable experimental and methodological effort (i. e., Colonius, 2016;Lombardi et al, 2019) has followed papers by J. Miller and colleagues (1978Miller and colleagues ( , 1982Miller and colleagues ( , 2016…”
Section: A Brief History and Backgroundmentioning
confidence: 99%
“…From a broad perspective, the attention bias account is more compatible with the classical information processing co-activation model (Diederich, 1995;Lombardi et al, 2019;Miller, 1982Miller, , 1986. Instead of assuming a target and a distractor have two parallel processing channels and competing for a single response selection process and essentially the "winner takes all" (i.e., the relative-speedof-processing model), the co-activation model assumed that both channels combine in satisfying a single criterion of the response selection.…”
Section: Attention Bias Accountmentioning
confidence: 99%
“…) And inferential methods have been developed that depend on the properties of observed distributions, differences between them, and combinations of them, with no commitment to a particular theoretical distribution. Examples include skewness and kurtosis (Vickers, 1979), the survivor interaction contrast (Nozawa, 1992;To wnsend & Nozawa, 1995;Schweickert, Fisher, & Sung, 2012;Little, Altieri, Fific, & Yang, 2017), the summation test (Roberts & Sternberg, 1993;Schweickert et al, 2012), the race model inequality (Miller, 1982;Colonius & Vorberg, 1994;Lombardi, D'Alessandro, & Colonius, 2019;Gondan & Vorberg, 2021 ), the delta plot (de Jong, Liang, & Lauber, 1994;Schwarz & Miller, 2012;Miller & Schwarz, 2021;Ellinghaus & Miller, 2018;Mackenzie, I. G., Mittelstadt, V., Ulrich, R., & Leuthold, H., 2022), tests of RT mixtures (Reynolds & Miller, 2009;Yantis, Meyer, & Smith, 1991), and the "short RT" and "long RT" properties (Sternberg, 1973;Vorberg, 1981;Townsend & Ashby, 1983, Ch. 8).…”
Section: Introductionmentioning
confidence: 99%