ArticlePsychometrika2018
Autoregressive Generalized Linear Mixed Effect Models with Crossed Random Effects: An Application to Intensive Binary Time Series Eye-Tracking Data.
Article in Psychometrika, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Moderate-severe traumatic brain injury disrupts core mechanisms of online language processing and use.Cortex; a journal devoted to the study of the nervous system and behavior · 2026Article
- Comparing effect latencies in the visual world paradigm: Monte Carlo simulations to assess resampling-based procedures.Behavior research methods · 2026Article
- From real-time measures to real world differences: New [and old] statistical approaches to individual differences in real-time language processing.Brain research · 2025Review
- Limited learning and adaptation in disfluency processing among older adults.Psychology and aging · 2025Article
- Reduced on-line speech gesture integration during multimodal language processing in adults with moderate-severe traumatic brain injury: Evidence from eye-tracking.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM.Psychometrika · 2024Article
- Using lexical semantic cues to mitigate interference effects during real-time sentence processing in aphasia.Journal of neurolinguistics · 2023Article
- Modeling Eye Movements During Decision Making: A Review.Psychometrika · 2023Review
- I'm not sure that curve means what you think it means: Toward a [more] realistic understanding of the role of eye-movement generation in the Visual World Paradigm.Psychonomic bulletin & review · 2023Review
- Generalized linear mixed-effects models for studies using different sets of stimuli across conditions.Frontiers in psychology · 2022Article
- Article
- The limited role of hippocampal declarative memory in transient semantic activation during online language processing.Neuropsychologia · 2021Article
- Neural signatures of syntactic variation in speech planning.PLoS biology · 2021Article
- Referential context and executive functioning influence children's resolution of syntactic ambiguity.Journal of experimental psychology. Learning, memory, and cognition · 2020Article
- Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model.Psychometrika · 2020Article
- An Overview of Models for Response Times and Processes in Cognitive Tests.Frontiers in psychology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a method to ascertain person and item effects in psycholinguistics, a generalized linear mixed effect model (GLMM) with crossed random effects has met limitations in handing serial dependence across persons and items. This paper presents an autoregressive GLMM with crossed random effects that accounts for variability in lag effects across persons and items. The model is shown to be applicable to intensive binary time series eye-tracking data when researchers are interested in detecting experimental condition effects while controlling for previous responses. In addition, a simulation study shows that ignoring lag effects can lead to biased estimates and underestimated standard errors for the experimental condition effects.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.