1997
DOI: 10.2466/pms.1997.84.2.627
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Variables That Influence the Generation of Random Sequences: An Update

Abstract: This article updates Tune's 1964 review of variables influencing human subjects' attempts at generating random sequences of alternatives. It also covers aspects not included in the original review such as randomization behavior by patients with neurological and psychiatric disorders. Relevant work from animal research (spontaneous alternation paradigm) is considered as well. It is conjectured that Tune's explanation of sequential nonrandomness in terms of a limited capacity of short-term memory can no longer b… Show more

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Cited by 114 publications
(131 citation statements)
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References 186 publications
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“…On a behavioral level, it can be concluded that even when compensating for difficulties by slowing the rate at which they produced numbers, MS patients commit rule breaks and cannot sufficiently suppress a counting algorithm. RNG may be a useful tool in the clinical monitoring of MS. As the task is highly resistant to practice effects (Brugger, 1997;Jahanshahi, Saleem, Ho, Dirnberger, & Fuller, 2006), it may prove particularly suitable for monitoring cognitive capacity over time.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…On a behavioral level, it can be concluded that even when compensating for difficulties by slowing the rate at which they produced numbers, MS patients commit rule breaks and cannot sufficiently suppress a counting algorithm. RNG may be a useful tool in the clinical monitoring of MS. As the task is highly resistant to practice effects (Brugger, 1997;Jahanshahi, Saleem, Ho, Dirnberger, & Fuller, 2006), it may prove particularly suitable for monitoring cognitive capacity over time.…”
Section: Discussionmentioning
confidence: 99%
“…Instructions of a random number generation (RNG) task require subjects to arrange numbers in a sequence "as random as possible", implicitly asking to avoid any algorithm and to disobey any rule. Under a huge range of conditions (Brugger, 1997) healthy volunteers were found unable to follow these instructions, and so were patients with various neuropsychiatric diseases (Brown, Soliveri, & Jahanshahi, 1998;Brugger, Monsch, Salmon, & Butters, 1996;Ho, Sahakian, Robbins, & Barker, 2004;Salamé & Danion, 2007;Spatt & Goldenberg, 1993). A limited capacity of working memory and executive functions have been implied in the failure to produce unpredictable, or random sequences of response alternatives (Baddeley, 1966(Baddeley, , 1998Joppich et al, 2004;Maes, Eling, Reelick, & Kessels, 2011;Miyake et al, 2000).…”
Section: Introductionmentioning
confidence: 99%
“…During the generation of random sequences, patients with schizophrenia (Salamé et al, 1998;Brugger, 1997 for overview), healthy participants after amphetamine administration (Ridley et al, 1988), and healthy participants with elevated schizotypal features (Brugger et al, 1990;Avons et al, 2003) showed more pronounced response biases compared to their respective controls.…”
Section: Introductionmentioning
confidence: 99%
“…In many studies over the past 60 years, human participants have been asked to respond randomly (e.g., randomly call out "heads" and "tails," or the digits zero through nine, or randomly press eight buttons), the results being that, in almost every case, response distributions were easily distinguished from random (Brugger, 1997;Nickerson, 2002). With only one exception, participants in these studies received neither feedback nor reinforcement for approximating a random distribution-they were simply instructed to respond randomly.…”
Section: Random Number Generationmentioning
confidence: 99%