Behavior Research Methods
Papers 4358
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#1John M. Ferron (USF: University of South Florida)H-Index: 36
#2Diep Nguyen (USF: University of South Florida)H-Index: 4
Last. Elizabeth Shaunessy-Dedrick (USF: University of South Florida)H-Index: 9
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Researchers conducting small-scale cluster randomized controlled trials (RCTs) during the pilot testing of an intervention often look for evidence of promise to justify an efficacy trial. We developed a method to test for intervention effects that is adaptive (i.e., responsive to data exploration), requires few assumptions, and is statistically valid (i.e., controls the type I error rate), by adapting masked visual analysis techniques to cluster RCTs. We illustrate the creation of masked graphs ...
#1Maria CasagrandeH-Index: 23
#2Andrea Marotta (UGR: University of Granada)H-Index: 12
Last. Vito Giordano (Medical University of Vienna)H-Index: 10
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Attention involves three functionally and neuroanatomically distinct neural networks: alerting, orienting, and executive control. This study aimed to analyze the development of attentional networks in children aged between 3 and 6 years using a child-friendly version of the Attentional Network Test for Interaction (ANTI), the ANTI-Birds. The sample included 88 children divided into four age groups: 3-year-old, 4-year-old, 5-year-old, 6-year-old children. The results of this study would seem to i...
1 CitationsSource
#1ZhaoBin Li (Carleton College)
#2Anne Marie Crinnion (UConn: University of Connecticut)
Last. James S. MagnusonH-Index: 29
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Language scientists often need to generate lists of related words, such as potential competitors. They may do this for purposes of experimental control (e.g., selecting items matched on lexical neighborhood but varying in word frequency), or to test theoretical predictions (e.g., hypothesizing that a novel type of competitor may impact word recognition). Several online tools are available, but most are constrained to a fixed lexicon and fixed sets of competitor definitions, and may not give the ...
#1Paul Hoffman (Edin.: University of Edinburgh)H-Index: 57
#2Matthew A. Lambon Ralph (Cognition and Brain Sciences Unit)H-Index: 92
Last. Timothy T. Rogers (UW: University of Wisconsin-Madison)H-Index: 43
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Semantic diversity refers to the degree of semantic variability in the contexts in which a particular word is used. We have previously proposed a method for measuring semantic diversity based on latent semantic analysis (LSA). In a recent paper, Cevoli et al. (2020) attempted to replicate our method and obtained different semantic diversity values. They suggested that this discrepancy occurred because they scaled their LSA vectors by their singular values, while we did not. Using their new resul...
#1Peer Eyal (HUJI: Hebrew University of Jerusalem)
#2Rothschild David (Microsoft)
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We examine key aspects of data quality for online behavioral research between selected platforms (Amazon Mechanical Turk, CloudResearch, and Prolific) and panels (Qualtrics and Dynata). To identify the key aspects of data quality, we first engaged with the behavioral research community to discover which aspects are most critical to researchers and found that these include attention, comprehension, honesty, and reliability. We then explored differences in these data quality aspects in two studies...
#1Seohyun Kim (UVA: University of Virginia)H-Index: 2
#2Xin Tong (UVA: University of Virginia)H-Index: 7
Last. Jeffrey P. Boichuk (UVA: University of Virginia)H-Index: 6
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Growth mixture modeling is a common tool for longitudinal data analysis. One of the key assumptions of traditional growth mixture modeling is that repeated measures within each class are normally distributed. When this normality assumption is violated, traditional growth mixture modeling may provide misleading model estimation results and suffer from nonconvergence. In this article, we propose a robust approach to growth mixture modeling based on conditional medians and use Bayesian methods for ...
#1D. M. L. de Boer (QUT: Queensland University of Technology)
Last. Axel Cleeremans (ULB: Université libre de Bruxelles)H-Index: 61
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Inspired by recent technological advances in the gaming industry, we used capture cards to create and LIVE-stream high quality 3D-images. With this novel technique, we developed a real-life stereoscopic 3D full-body illusion paradigm (3D projection). Unlike previous versions of the full-body illusion that rely upon unwieldy head-mounted displays, this paradigm enables the unobstructed investigation of such illusions with neuroscience methods (e.g., transcranial direct current stimulation, transc...
#1Tim Loossens (Katholieke Universiteit Leuven)H-Index: 1
#2Kristof Meers (Katholieke Universiteit Leuven)H-Index: 6
Last. Francis Tuerlinckx (Katholieke Universiteit Leuven)H-Index: 53
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Computational modeling plays an important role in a gamut of research fields. In affect research, continuous-time stochastic models are becoming increasingly popular. Recently, a non-linear, continuous-time, stochastic model has been introduced for affect dynamics, called the Affective Ising Model (AIM). The drawback of non-linear models like the AIM is that they generally come with serious computational challenges for parameter estimation and related statistical analyses. The likelihood functio...
#1Sebastian Weirich (Humboldt University of Berlin)H-Index: 7
#2Martin Hecht (University of Tübingen)H-Index: 10
Last. Steffen Zitzmann (University of Tübingen)H-Index: 8
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In many disciplines of the social sciences, comparisons between a group mean and the total mean is a common but also challenging task. As one solution to this statistical testing problem, we propose using linear regression with weighted effect coding. For random samples, this procedure is straightforward and easy to implement by means of standard statistical software. However, for complex or clustered samples with imputed or weighted data, which are common in survey analyses, there is a lack of ...
#1Joshua Correll (CU: University of Colorado Boulder)H-Index: 26
#2Chris Mellinger (CU: University of Colorado Boulder)
Last. Eric J. Pedersen (CU: University of Colorado Boulder)H-Index: 16
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Mixed-effects models are frequently used in a variety of disciplines because they can appropriately specify multiple sources of variation. However, precisely because they distinguish between multiple sources of variation, it is difficult to specify a standardized effect size, such as η2. Several approaches to this problem have been proposed, but most do not address models with crossed random factors, and none allows for the range of data and models that researchers typically test. For example, n...
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Cognitive psychology
Computer science