2015
DOI: 10.1080/17470218.2014.978875
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Abstract: Our thanks go to Angus B. Inkster for his help coding the verbal reports.TRAINING TYPE AND CATEGORIZATION. AbstractThe effects of two different types of training on rule-based and information-integration category learning were investigated in two experiments. In observational training, a category label is presented, followed by an example of that category and the participant's response. In feedback training, the stimulus is presented, the participant assigns it to a category and then receives feedback about th… Show more

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Cited by 32 publications
(74 citation statements)
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References 49 publications
(113 reference statements)
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“…Although our modeling process selects the best-fitting model based on the lowest BIC, it does not indicate the probability that the best-fitting model is adequately superior to the other models (Edmunds et al, 2015). To determine how likely the best-fitting model derived from our analysis is actually the most appropriate model over the alternative models, we computed model probabilities based on Bayesian weights (Wagenmakers & Farrell, 2004; See Supplementary Methods).…”
Section: Resultsmentioning
confidence: 99%
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“…Although our modeling process selects the best-fitting model based on the lowest BIC, it does not indicate the probability that the best-fitting model is adequately superior to the other models (Edmunds et al, 2015). To determine how likely the best-fitting model derived from our analysis is actually the most appropriate model over the alternative models, we computed model probabilities based on Bayesian weights (Wagenmakers & Farrell, 2004; See Supplementary Methods).…”
Section: Resultsmentioning
confidence: 99%
“… 1 We note that there are mixed findings regarding whether RB and II category problems are solved by one or more systems (Ashby et al, 2002; Ashby & Maddox, 2011; Dunn et al, 2012; Edmunds et al, 2015; Filoteo et al, 2005; Maddox et al, 2003; Maddox et al, 2004; Maddox et al, 2005; Newell et al, 2011; Stanton & Nosofsky, 2007; Tharp & Pickering, 2009; Waldron & Ashby, 2001), but here we do not wish to enter the debate regarding whether one or more systems are engaged to support RB or II learning. Rather, the main objective of this study is to characterize II learning, whether positive or negative feedback is more effective for solving II category problems.…”
mentioning
confidence: 86%
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“…Edmunds, Milton, and Wills (2015) re-examined an experiment by Ashby, Maddox, and Bohil (2002) that examined the effect of feedback type on learning of rule-based and information-integration category structures. However, recent evidence from our laboratory suggests that DB analysis does not accurately recover the strategies participants use for information-integration category structures.…”
Section: Introductionmentioning
confidence: 99%
“…There are two pieces of evidence that speak against this interpretation. Therefore, the large number of explicit reports given in Edmunds et al (2015) would, if anything, underestimate the number of participants using explicit sorting strategies. Second, previous evidence has demonstrated that verbal reports lack sensitivity and thus underestimate the prevalence of explicit processes (e.g., Shanks & St John, 1994).…”
Section: Introductionmentioning
confidence: 99%