Works matching IS 1554351X AND DT 2019 AND VI 51 AND IP 1
Results: 29
Examining the effects of probe frequency, response options, and framing within the thought-probe method.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 398, doi. 10.3758/s13428-019-01212-6
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PsychoPy2: Experiments in behavior made easy.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 195, doi. 10.3758/s13428-018-01193-y
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Value of sample size for computation of the Bayesian information criterion (BIC) in multilevel modeling.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 440, doi. 10.3758/s13428-018-1188-3
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Quantification of nonverbal synchrony using linear time series analysis methods: Lack of convergent validity and evidence for facets of synchrony.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 361, doi. 10.3758/s13428-018-1139-z
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Beyond frequency counts: Novel conceptual recurrence analysis metrics to index semantic coordination in team communications.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 342, doi. 10.3758/s13428-018-1132-6
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Evaluating fit indices in a multilevel latent growth curve model: A Monte Carlo study.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 172, doi. 10.3758/s13428-018-1169-6
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- Article
Bayesian evaluation of informative hypotheses in cluster-randomized trials.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 126, doi. 10.3758/s13428-018-1149-x
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The Tool for the Automatic Analysis of Cohesion 2.0: Integrating semantic similarity and text overlap.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 14, doi. 10.3758/s13428-018-1142-4
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- Article
Validating team communication data using a transmission-duration threshold and voice activity detection algorithm.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 384, doi. 10.3758/s13428-018-1141-5
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Synthesizing effects for multiple outcomes per study using robust variance estimation versus the three-level model.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 152, doi. 10.3758/s13428-018-1156-y
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Using restricted factor analysis to select anchor items and detect differential item functioning.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 138, doi. 10.3758/s13428-018-1151-3
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Measuring growth in students' proficiency in MOOCs: Two component dynamic extensions for the Rasch model.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 332, doi. 10.3758/s13428-018-1129-1
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Correction to: "Using machine learning to detect events in eye-tracking data".
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 451, doi. 10.3758/s13428-018-1127-3
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- Article
New improved gamma: Enhancing the accuracy of Goodman–Kruskal's gamma using ROC curves.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 108, doi. 10.3758/s13428-018-1125-5
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Concealed correlations meta-analysis: A new method for synthesizing standardized regression coefficients.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 316, doi. 10.3758/s13428-018-1123-7
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- Article
A virtual reality approach identifies flexible inhibition of motion aftereffects induced by head rotation.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 96, doi. 10.3758/s13428-018-1116-6
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Comparing methods for the analysis of pupillary response.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 83, doi. 10.3758/s13428-018-1108-6
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Are mind wandering rates an artifact of the probe-caught method? Using self-caught mind wandering in the classroom to test, and reject, this possibility.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 235, doi. 10.3758/s13428-018-1073-0
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The Differential Time-Varying Effect Model (DTVEM): A tool for diagnosing and modeling time lags in intensive longitudinal data.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 295, doi. 10.3758/s13428-018-1101-0
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Probability of bivariate superiority: A non-parametric common-language statistic for detecting bivariate relationships.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 258, doi. 10.3758/s13428-018-1089-5
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Moderation analysis in two-instance repeated measures designs: Probing methods and multiple moderator models.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 61, doi. 10.3758/s13428-018-1088-6
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Comparison of model- and design-based approaches to detect the treatment effect and covariate by treatment interactions in three-level models for multisite cluster-randomized trials.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 243, doi. 10.3758/s13428-018-1080-1
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Combining speed and accuracy to control for speed-accuracy trade-offs(?).
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 40, doi. 10.3758/s13428-018-1076-x
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Emergence of polarized opinions from free association networks.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 280, doi. 10.3758/s13428-018-1090-z
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Getting a grip on sensorimotor effects in lexical–semantic processing.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 1, doi. 10.3758/s13428-018-1072-1
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Miami University deception detection database.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 429, doi. 10.3758/s13428-018-1061-4
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RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 409, doi. 10.3758/s13428-018-1055-2
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Sit still and pay attention: Using the Wii Balance-Board to detect lapses in concentration in children during psychophysical testing.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 28, doi. 10.3758/s13428-018-1045-4
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The Schultz MIDI Benchmarking Toolbox for MIDI interfaces, percussion pads, and sound cards.
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- Behavior Research Methods, 2019, v. 51, n. 1, p. 204, doi. 10.3758/s13428-018-1042-7
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