2019
DOI: 10.1037/xlm0000697
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Does letter rotation decrease transposed letter priming effects?

Abstract: Perceptual learning accounts of orthographic coding predict that transposed-letter (TL) priming effects should be smaller when the prime and target stimuli are not presented in their canonical (left-to-right horizontal in English) orientation (Dehaene, Cohen, Sigman, & Vinckier, 2005;Grainger & Holcomb, 2009). In contrast, abstract letter unit accounts would propose that TL priming effects should be essentially unaffected by presenting stimuli in most unfamiliar text orientations (Witzel, Qiao, & Forster, 2011… Show more

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Cited by 9 publications
(17 citation statements)
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“…3 To analyze the data, we created generalized linear mixedeffects models in R with the lme4 package (Bates, Maechler, Bolker, & Walker, 2015) on the latency and accuracy data. For the latency data, we employed the gamma distribution with the identity link (see Yang & Lupker, 2019)-this avoids nonlinear transformations of the response times required by the normality assumption of linear mixed models. For the accuracy data, we employed the binomial distribution.…”
Section: Resultsmentioning
confidence: 99%
“…3 To analyze the data, we created generalized linear mixedeffects models in R with the lme4 package (Bates, Maechler, Bolker, & Walker, 2015) on the latency and accuracy data. For the latency data, we employed the gamma distribution with the identity link (see Yang & Lupker, 2019)-this avoids nonlinear transformations of the response times required by the normality assumption of linear mixed models. For the accuracy data, we employed the binomial distribution.…”
Section: Resultsmentioning
confidence: 99%
“…To conduct the inferential analyses of the latency data, we employed generalized linear mixed models using the package lme4 (Bates, Maechler, Bolker, & Walker, 2015) in R (R Core Team, 2019) and we assumed an underlying gamma distribution (see Lo & Andrews, 2015;Yang & Lupker, 2019, for discussion of the advantages of this approach). 2 In the generalized linear mixed models, the fixed factor prime type was encoded as to test the two research questions: whether there is an advantage of the visually similar over the visually dissimilar condition (i.e., SIM vs. DIS); and whether there is an advantage of the ID condition over the SIM condition (see Marcet & Perea, 2017, 2018a, 2018b, for a similar approach).…”
Section: Resultsmentioning
confidence: 99%
“…That is, one would expect an interaction between rotation and identity priming in Experiments 1 and 2, and a null effect of priming in Experiment 3. Alternatively, if letter detectors are resilient to rotation in the initial moments of processing, as claimed by Perea et al (2018a, b) and Yang and Lupker (2019), masked identity priming should be approximately similar in magnitude in the two rotation angles in the three experiments.…”
Section: Introductionmentioning
confidence: 72%
“…Clearly, if letter detectors had been disrupted by rotations above 40°in the first moments of word processing, one would have expected a sizeable reduction of masked repetition/ transposed-letter priming effects for 90°rotated words. Furthermore, Yang and Lupker (2019) provided an even more extreme demonstration. They conducted two masked priming lexical decision experiments in which the words were presented horizontally or rotated 90°or 180°.…”
Section: Introductionmentioning
confidence: 99%