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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 The Relationship Between Infant Pointing and Language Development: A Meta-Analytic Review Eggleston, Adam; Kirk, Elizabeth; Donnelly, Seamus. - : Elsevier, 2022 BASE Show details 2 The Relationship Between Infant Pointing and Language Development: A Meta-Analytic Review Kirk, Elizabeth; Glanville, Julie; Furman, Reyhan. - : Elsevier, 2022 BASE Show details 3 Individual Differences in First Language Acquisition Kidd, Evan; Donnelly, Seamus In: Annual Review of Linguistics (2021) BASE Show details 4 Individual differences in lexical processing efficiency and vocabulary in toddlers: A longitudinal investigation Donnelly, Seamus; Kidd, Evan In: Journal of Experimental Child Psychology (2021) BASE Show details 5 On the Structure and Source of Individual Differences in Toddlers' Comprehension of Transitive Sentences Donnelly, Seamus; Kidd, Evan In: Front Psychol (2021) BASE Show details 6 Empirical logit analysis is not logistic regression Donnelly, Seamus; Verkuilen, Jay In: Journal of Memory and Language (2020) Abstract: Many recent psycholinguistic studies have used empirical logit analysis as a substitute for mixed-effects logistic regression. In this paper, we describe the differences between empirical logit analysis and mixed-effects logistic regression and highlight three interacting sources of bias in empirical logit analysis. We then report on two sets of simulations comparing logistic regression and empirical logit analysis. We show that relative to logistic regression, empirical logit analysis generally yields biased parameter estimates when proportions are close to 0 or 1, especially when the number of observations underlying a proportion is very low. We also show that, in some circumstances, this bias can create spurious interactions, leading to unacceptable Type I error rates. While these two models may provide similar answers to some questions, we encourage readers to interpret empirical logit parameters cautiously. Keyword: Generalized linear mixed models Empirical logit Visual-world eye tracking Logistic regression URL: http://hdl.handle.net/1885/203375 https://doi.org/10.1016/j.jml.2016.10.005 BASE Hide details 7 Flashing out or fleshing out? A developmental perspective on a universal model of reading Homer, Bruce D.; Miller, Russell; Donnelly, Seamus... In: Behavioral and brain sciences. - New York, NY [u.a.] : Cambridge Univ. Press 35 (2012) 5, 289-290 OLC Linguistik Show details 8 Towards a universal model of reading : [including open peer commentary and author's response] Liversedge, Simon P. (Komm.); Plaut, David C. (Komm.); Homer, Bruce D. (Komm.)... In: Behavioral and brain sciences. - New York, NY [u.a.] : Cambridge Univ. Press 35 (2012) 5, 263-329 BLLDB OLC Linguistik Show details

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