ArticleJournal of memory and language2018
Detecting when timeseries differ: Using the Bootstrapped Differences of Timeseries (BDOTS) to analyze Visual World Paradigm data (and more).
Article in Journal of memory and language, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed.
- Language nonselective lexical access in bilinguals: Input modality matters.Bilingualism (Cambridge, England) · 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
- Effect of hearing experience on preschool-aged children's eye gaze to a talker during spoken language processing.Attention, perception & psychophysics · 2025Article
- Timecourse of bottom-up and top-down language processing during a picture-based semantic priming task.Language, cognition and neuroscience · 2025Article
- Speech Sound Categories Affect Lexical Competition: Implications for Analytic Auditory Training.Journal of speech, language, and hearing research : JSLHR · 2024Article
- The role of inhibitory control in spoken word recognition: Evidence from cochlear implant users.Language, cognition and neuroscience · 2024Article
- Analysing data from the psycholinguistic visual-world paradigm: Comparison of different analysis methods.Behavior research methods · 2023Article
- 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
- Unpacking the multilingualism continuum: An investigation of language variety co-activation in simultaneous interpreters.PloS one · 2023Article
- The development of lexical inhibition in spoken word recognition.Developmental psychology · 2023Article
- Within- and between-language competition in adult second language learners: implications for language proficiency.Language, cognition and neuroscience · 2022Article
- Fine-grained time course of verb aspect processing.PloS one · 2022Article
- Time Stand Still: Effects of Temporal Window Selection on Eye Tracking Analysis.Collabra. Psychology · 2021Article
- Dynamic EEG analysis during language comprehension reveals interactive cascades between perceptual processing and sentential expectations.Brain and language · 2020Article
- GazeR: A Package for Processing Gaze Position and Pupil Size Data.Behavior research methods · 2020Article
- A real-time mechanism underlying lexical deficits in developmental language disorder: Between-word inhibition.Cognition · 2019Article
- Listeners can anticipate future segments before they identify the current one.Attention, perception & psychophysics · 2019Article
- How Do You Deal With Uncertainty? Cochlear Implant Users Differ in the Dynamics of Lexical Processing of Noncanonical Inputs.Ear and hearingArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
In the last decades, major advances in the language sciences have been built on real-time measures of language and cognitive processing, measures like mouse-tracking, event related potentials and eye-tracking in the visual world paradigm. These measures yield densely sampled timeseries that can be highly revealing of the dynamics of cognitive processing. However, despite these methodological advances, existing statistical approaches for timeseries analyses have often lagged behind. Here, we present a new statistical approach, the Bootstrapped Differences of Timeseries (BDOTS), that can estimate the precise timewindow at which two timeseries differ. BDOTS makes minimal assumptions about the error distribution, uses a custom family-wise error correction, and can flexibly be adapted to a variety of applications. This manuscript presents the theoretical basis of this approach, describes implementational issues (in the associated R package), and illustrates this technique with an analysis of an existing dataset. Pitfalls and hazards are also discussed, along with suggestions for reporting in the literature.
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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.