TY  - JOUR
A1  - Wulff, Dirk U.
A1  - De Deyne, Simon
A1  - Jones, Michael N.
A1  - Mata, Rui
A1  - Austerweil, Joseph L.
A1  - Baayen, R. Harald
A1  - Balota, David A.
A1  - Baronchelli, Andrea
A1  - Brysbaert, Marc
A1  - Cai, Qing
A1  - Dennis, Simon
A1  - Hills, Thomas T.
A1  - Kenett, Yoed N.
A1  - Keuleers, Emmanuel
A1  - Marelli, Marco
A1  - Pakhomov, Serguei
A1  - Ramscar, Michael
A1  - Schooler, Lael J.
A1  - Shing, Yee Lee
A1  - da Souza, Alessandra S.
A1  - Siew, Cynthia S. Q.
A1  - Storms, Gert
A1  - Veríssimo, Joao Marques
T1  - New Perspectives on the Aging Lexicon
JF  - Trends in cognitive science
N2  - The field of cognitive aging has seen considerable advances in describing the linguistic and semantic changes that happen during the adult life span to uncover the structure of the mental lexicon (i.e., the mental repository of lexical and conceptual representations). Nevertheless, there is still debate concerning the sources of these changes, including the role of environmental exposure and several cognitive mechanisms associated with learning, representation, and retrieval of information. We review the current status of research in this field and outline a framework that promises to assess the contribution of both ecological and psychological aspects to the aging lexicon.
Y1  - 2019
U6  - https://doi.org/10.1016/j.tics.2019.05.003
SN  - 1364-6613
SN  - 1879-307X
VL  - 23
IS  - 8
SP  - 686
EP  - 698
PB  - Elsevier
CY  - London
ER  - 
TY  - JOUR
A1  - Nixon, Jessie S.
A1  - van Rij, Jacolien
A1  - Mok, Peggy
A1  - Baayen, Harald R.
A1  - Chen, Yiya
T1  - The temporal dynamics of perceptual uncertainty: eye movement evidence from Cantonese segment and tone perception
JF  - Journal of memory and language
N2  - Two visual world eyetracking experiments investigated how acoustic cue value and statistical variance affect perceptual uncertainty during Cantonese consonant (Experiment 1) and tone perception (Experiment 2). Participants heard low- or high-variance acoustic stimuli. Euclidean distance of fixations from target and competitor pictures over time was analysed using Generalised Additive Mixed Modelling. Distance of fixations from target and competitor pictures varied as a function of acoustic cue, providing evidence for gradient, nonlinear sensitivity to cue values. Moreover, cue value effects significantly interacted with statistical variance, indicating that the cue distribution directly affects perceptual uncertainty. Interestingly, the time course of effects differed between target distance and competitor distance models. The pattern of effects over time suggests a global strategy in response to the level of uncertainty: as uncertainty increases, verification looks increase accordingly. Low variance generally creates less uncertainty, but can lead to greater uncertainty in the face of unexpected speech tokens. (C) 2016 Elsevier Inc. All rights reserved.
KW  - Discriminative learning
KW  - Statistical learning
KW  - Speech perception
KW  - Cantonese
KW  - Lexical tone
Y1  - 2016
U6  - https://doi.org/10.1016/j.jml.2016.03.005
SN  - 0749-596X
SN  - 1096-0821
VL  - 90
SP  - 103
EP  - 125
PB  - Elsevier
CY  - San Diego
ER  - 
TY  - JOUR
A1  - Baayen, Harald R.
T1  - Resource requirements for neo-generative modeling in (psycho)linguistics
JF  - Potsdam cognitive science series
Y1  - 2012
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-62318
SN  - 2190-4545
SN  - 2190-4553
IS  - 3
SP  - 5
EP  - 8
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  - 
TY  - JOUR
A1  - Baayen, Harald R.
A1  - Vasishth, Shravan
A1  - Kliegl, Reinhold
A1  - Bates, Douglas
T1  - The cave of shadows: Addressing the human factor with generalized additive mixed models
JF  - Journal of memory and language
KW  - Generalized additive mixed models
KW  - Within-experiment adaptation
KW  - Autocorrelation
KW  - Experimental time series
KW  - Confirmatory versus exploratory data analysis
KW  - Model selection
Y1  - 2017
U6  - https://doi.org/10.1016/j.jml.2016.11.006
SN  - 0749-596X
SN  - 1096-0821
VL  - 94
SP  - 206
EP  - 234
PB  - Elsevier
CY  - San Diego
ER  - 
TY  - JOUR
A1  - Matuschek, Hannes
A1  - Kliegl, Reinhold
A1  - Vasishth, Shravan
A1  - Baayen, Harald R.
A1  - Bates, Douglas
T1  - Balancing Type I error and power in linear mixed models
JF  - Journal of memory and language
N2  - Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statistical inference in factorial psycholinguistic experiments. Although LMMs have many advantages over ANOVA, like ANOVAs, setting them up for data analysis also requires some care. One simple option, when numerically possible, is to fit the full variance covariance structure of random effects (the maximal model; Barr, Levy, Scheepers & Tily, 2013), presumably to keep Type I error down to the nominal a in the presence of random effects. Although it is true that fitting a model with only random intercepts may lead to higher Type I error, fitting a maximal model also has a cost: it can lead to a significant loss of power. We demonstrate this with simulations and suggest that for typical psychological and psycholinguistic data, higher power is achieved without inflating Type I error rate if a model selection criterion is used to select a random effect structure that is supported by the data. (C) 2017 The Authors. Published by Elsevier Inc.
KW  - Power
KW  - Linear mixed effect model
KW  - Hypothesis testing
Y1  - 2017
U6  - https://doi.org/10.1016/j.jml.2017.01.001
SN  - 0749-596X
SN  - 1096-0821
VL  - 94
SP  - 305
EP  - 315
PB  - Elsevier
CY  - San Diego
ER  -