TY - JOUR A1 - Stone, Kate A1 - Verissimo, Joao A1 - Schad, Daniel J. A1 - Oltrogge, Elise A1 - Vasishth, Shravan A1 - Lago, Sol T1 - The interaction of grammatically distinct agreement dependencies in predictive processing JF - Language, cognition and neuroscience N2 - Previous research has found that comprehenders sometimes predict information that is grammatically unlicensed by sentence constraints. An open question is why such grammatically unlicensed predictions occur. We examined the possibility that unlicensed predictions arise in situations of information conflict, for instance when comprehenders try to predict upcoming words while simultaneously building dependencies with previously encountered elements in memory. German possessive pronouns are a good testing ground for this hypothesis because they encode two grammatically distinct agreement dependencies: a retrospective one between the possessive and its previously mentioned referent, and a prospective one between the possessive and its following nominal head. In two visual world eye-tracking experiments, we estimated the onset of predictive effects in participants' fixations. The results showed that the retrospective dependency affected resolution of the prospective dependency by shifting the onset of predictive effects. We attribute this effect to an interaction between predictive and memory retrieval processes. KW - sentence processing KW - visual world eye-tracking KW - prediction KW - gender KW - agreement KW - German Y1 - 2021 U6 - https://doi.org/10.1080/23273798.2021.1921816 SN - 2327-3798 SN - 2327-3801 VL - 36 IS - 9 SP - 1159 EP - 1179 PB - Routledge, Taylor & Francis Group CY - Abingdon ER - TY - JOUR A1 - Vasishth, Shravan A1 - Gelman, Andrew T1 - How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysis JF - Linguistics : an interdisciplinary journal of the language sciences N2 - The use of statistical inference in linguistics and related areas like psychology typically involves a binary decision: either reject or accept some null hypothesis using statistical significance testing. When statistical power is low, this frequentist data-analytic approach breaks down: null results are uninformative, and effect size estimates associated with significant results are overestimated. Using an example from psycholinguistics, several alternative approaches are demonstrated for reporting inconsistencies between the data and a theoretical prediction. The key here is to focus on committing to a falsifiable prediction, on quantifying uncertainty statistically, and learning to accept the fact that - in almost all practical data analysis situations - we can only draw uncertain conclusions from data, regardless of whether we manage to obtain statistical significance or not. A focus on uncertainty quantification is likely to lead to fewer excessively bold claims that, on closer investigation, may turn out to be not supported by the data. KW - experimental linguistics KW - statistical data analysis KW - statistical KW - inference KW - uncertainty quantification Y1 - 2021 U6 - https://doi.org/10.1515/ling-2019-0051 SN - 0024-3949 SN - 1613-396X VL - 59 IS - 5 SP - 1311 EP - 1342 PB - De Gruyter Mouton CY - Berlin ER - TY - JOUR A1 - Paape, Dario A1 - Avetisyan, Serine A1 - Lago, Sol A1 - Vasishth, Shravan T1 - Modeling misretrieval and feature substitution in agreement attraction BT - a computational evaluation JF - Cognitive science N2 - We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better accounted for by an encoding-based model of agreement attraction, compared to a retrieval-based model. A novel methodological contribution of our study is the use of comprehension questions with open-ended responses, so that both misinterpretation of the number feature of the subject phrase and misassignment of the thematic subject role of the verb can be investigated at the same time. We find evidence for both types of misinterpretation in our study, sometimes in the same trial. However, the specific error patterns in our data are not fully consistent with any previously proposed model. KW - Agreement attraction KW - Eastern Armenian KW - Self-paced reading KW - Computational modeling Y1 - 2021 U6 - https://doi.org/10.1111/cogs.13019 SN - 0364-0213 SN - 1551-6709 VL - 45 IS - 8 PB - Wiley-Blackwell CY - Malden, Mass. ER - TY - JOUR A1 - Mertzen, Daniela A1 - Lago, Sol A1 - Vasishth, Shravan T1 - The benefits of preregistration for hypothesis-driven bilingualism research JF - Bilingualism : language and cognition N2 - Preregistration is an open science practice that requires the specification of research hypotheses and analysis plans before the data are inspected. Here, we discuss the benefits of preregistration for hypothesis-driven, confirmatory bilingualism research. Using examples from psycholinguistics and bilingualism, we illustrate how non-peer reviewed preregistrations can serve to implement a clean distinction between hypothesis testing and data exploration. This distinction helps researchers avoid casting post-hoc hypotheses and analyses as confirmatory ones. We argue that, in keeping with current best practices in the experimental sciences, preregistration, along with sharing data and code, should be an integral part of hypothesis-driven bilingualism research. KW - preregistration KW - open science KW - bilingualism KW - psycholinguistics KW - confirmatory analysis KW - exploratory analysis Y1 - 2021 U6 - https://doi.org/10.1017/S1366728921000031 SN - 1366-7289 SN - 1469-1841 VL - 24 IS - 5 SP - 807 EP - 812 PB - Cambridge Univ. Press CY - Cambridge ER - TY - JOUR A1 - Pregla, Dorothea A1 - Lissón Hernández, Paula J. A1 - Vasishth, Shravan A1 - Burchert, Frank A1 - Stadie, Nicole T1 - Variability in sentence comprehension in aphasia in German JF - Brain & language : a journal of the neurobiology of language N2 - An important aspect of aphasia is the observation of behavioral variability between and within individual participants. Our study addresses variability in sentence comprehension in German, by testing 21 individuals with aphasia and a control group and involving (a) several constructions (declarative sentences, relative clauses and control structures with an overt pronoun or PRO), (b) three response tasks (object manipulation, sentence-picture matching with/without self-paced listening), and (c) two test phases (to investigate test-retest performance). With this systematic, large-scale study we gained insights into variability in sentence comprehension. We found that the size of syntactic effects varied both in aphasia and in control participants. Whereas variability in control participants led to systematic changes, variability in individuals with aphasia was unsystematic across test phases or response tasks. The persistent occurrence of canonicity and interference effects across response tasks and test phases, however, shows that the performance is systematically influenced by syntactic complexity. KW - Aphasia KW - Sentence Comprehension KW - Variability KW - Test-retest reliability KW - Task demands KW - Canonicity and interference effects KW - Object manipulation KW - Sentence-picture matching KW - Self-paced listening KW - Adaptation Y1 - 2021 U6 - https://doi.org/10.1016/j.bl.2021.105008 SN - 0093-934X SN - 1090-2155 VL - 222 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Rabe, Maximilian Michael A1 - Chandra, Johan A1 - Krügel, André A1 - Seelig, Stefan A. A1 - Vasishth, Shravan A1 - Engbert, Ralf T1 - A bayesian approach to dynamical modeling of eye-movement control in reading of normal, mirrored, and scrambled texts JF - Psychological Review N2 - In eye-movement control during reading, advanced process-oriented models have been developed to reproduce behavioral data. So far, model complexity and large numbers of model parameters prevented rigorous statistical inference and modeling of interindividual differences. Here we propose a Bayesian approach to both problems for one representative computational model of sentence reading (SWIFT; Engbert et al., Psychological Review, 112, 2005, pp. 777-813). We used experimental data from 36 subjects who read the text in a normal and one of four manipulated text layouts (e.g., mirrored and scrambled letters). The SWIFT model was fitted to subjects and experimental conditions individually to investigate between- subject variability. Based on posterior distributions of model parameters, fixation probabilities and durations are reliably recovered from simulated data and reproduced for withheld empirical data, at both the experimental condition and subject levels. A subsequent statistical analysis of model parameters across reading conditions generates model-driven explanations for observable effects between conditions. KW - reading eye movements KW - dynamical models KW - Bayesian inference KW - oculomotor KW - control KW - individual differences Y1 - 2021 U6 - https://doi.org/10.1037/rev0000268 SN - 0033-295X SN - 1939-1471 VL - 128 IS - 5 SP - 803 EP - 823 PB - American Psychological Association CY - Washington ER -