Works matching IS 1554351X AND DT 2020 AND VI 52 AND IP 2
Results: 28
Computing Bayes factors for evidence-accumulation models using Warp-III bridge sampling.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 918, doi. 10.3758/s13428-019-01290-6
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- Article
The Hoosier Vocal Emotions Corpus: A validated set of North American English pseudo-words for evaluating emotion processing.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 901, doi. 10.3758/s13428-019-01288-0
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The measurement of interpersonal interactions with continuous spatiotemporal data: Application to a study of the effects of resource competition on racial group interactions.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 881, doi. 10.3758/s13428-019-01287-1
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- Article
How to model the neurocognitive dynamics of decision making: A methodological primer with ACT-R.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 857, doi. 10.3758/s13428-019-01286-2
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Training pet dogs for eye-tracking and awake fMRI.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 838, doi. 10.3758/s13428-019-01281-7
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- Article
Multi-touch Interaction Data Analysis System (MIDAS) for 2-D tactile display research.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 813, doi. 10.3758/s13428-019-01279-1
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A computerized spatial orientation test.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 799, doi. 10.3758/s13428-019-01277-3
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Probing curvilinear-by-linear interactions when the predictors are randomly sampled.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 773, doi. 10.3758/s13428-019-01276-4
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Adaptive testing with the GGUM-RANK multidimensional forced choice model: Comparison of pair, triplet, and tetrad scoring.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 761, doi. 10.3758/s13428-019-01274-6
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Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 741, doi. 10.3758/s13428-019-01272-8
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The quantification of gesture–speech synchrony: A tutorial and validation of multimodal data acquisition using device-based and video-based motion tracking.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 723, doi. 10.3758/s13428-019-01271-9
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- Article
The role of number of items per trial in best–worst scaling experiments.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 694, doi. 10.3758/s13428-019-01270-w
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- Article
The validity and consistency of continuous joystick response in perceptual decision-making.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 681, doi. 10.3758/s13428-019-01269-3
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- Article
Quantitative comparison of a mobile and a stationary video-based eye-tracker.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 667, doi. 10.3758/s13428-019-01267-5
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- Article
A randomization test wrapper for synthesizing single-case experiments using multilevel models: A Monte Carlo simulation study.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 654, doi. 10.3758/s13428-019-01266-6
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- Article
Look who's talking: A comparison of automated and human-generated speaker tags in naturalistic day-long recordings.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 641, doi. 10.3758/s13428-019-01265-7
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A novel virtual-reality-based route-learning test suite: Assessing the effects of cognitive aging on navigation.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 630, doi. 10.3758/s13428-019-01264-8
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A standardized validity assessment protocol for physiological signals from wearable technology: Methodological underpinnings and an application to the E4 biosensor.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 607, doi. 10.3758/s13428-019-01263-9
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Repeated measures regression mixture models.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 591, doi. 10.3758/s13428-019-01257-7
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ClusterBootstrap: An R package for the analysis of hierarchical data using generalized linear models with the cluster bootstrap.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 572, doi. 10.3758/s13428-019-01252-y
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Non-native speech recognition sentences: A new materials set for non-native speech perception research.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 561, doi. 10.3758/s13428-019-01251-z
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The MULTISENSE Test of Lexical–Gustatory Synaesthesia: An automated online diagnostic.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 544, doi. 10.3758/s13428-019-01250-0
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DstarM: an R package for analyzing two-choice reaction time data with the D∗M method.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 521, doi. 10.3758/s13428-019-01249-7
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Extracting partially ordered clusters from ordinal polytomous data.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 503, doi. 10.3758/s13428-019-01248-8
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Nonparametric multiple comparisons.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 489, doi. 10.3758/s13428-019-01247-9
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Robust statistical methods in R using the WRS2 package.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 464, doi. 10.3758/s13428-019-01246-w
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Studying human behavior with virtual reality: The Unity Experiment Framework.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 455, doi. 10.3758/s13428-019-01242-0
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Motor content norms for 4,565 verbs in Spanish.
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- Behavior Research Methods, 2020, v. 52, n. 2, p. 447, doi. 10.3758/s13428-019-01241-1
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