Search Results - "Behavior research methods"

Data quality of platforms and panels for online behavioral research by Peer, Eyal, Rothschild, David, Gordon, Andrew, Evernden, Zak, Damer, Ekaterina

“…We examine key aspects of data quality for online behavioral research between selected platforms (Amazon Mechanical Turk, CloudResearch, and Prolific) and…”
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NeuroKit2: A Python toolbox for neurophysiological signal processing by Makowski, Dominique, Pham, Tam, Lau, Zen J., Brammer, Jan C., Lespinasse, François, Pham, Hung, Schölzel, Christopher, Chen, S. H. Annabel

“…NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiological signal processing. It provides a comprehensive suite of…”
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Gorilla in our midst: An online behavioral experiment builder by Anwyl-Irvine, Alexander L., Massonnié, Jessica, Flitton, Adam, Kirkham, Natasha, Evershed, Jo K.

“…Behavioral researchers are increasingly conducting their studies online, to gain access to large and diverse samples that would be difficult to get in a…”
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PsychoPy2: Experiments in behavior made easy by Peirce, Jonathan, Gray, Jeremy R., Simpson, Sol, MacAskill, Michael, Höchenberger, Richard, Sogo, Hiroyuki, Kastman, Erik, Lindeløv, Jonas Kristoffer

“…PsychoPy is an application for the creation of experiments in behavioral science (psychology, neuroscience, linguistics, etc.) with precise spatial control and…”
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Violating the normality assumption may be the lesser of two evils by Knief, Ulrich, Forstmeier, Wolfgang

“…When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has…”
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Robust statistical methods in R using the WRS2 package by Mair, Patrick, Wilcox, Rand

“…This paper introduces the R package WRS2 that implements various robust statistical methods. It elaborates on the basics of robust statistics by introducing…”
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Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R by Kumle, Levi, Võ, Melissa L.-H., Draschkow, Dejan

“…Mixed-effects models are a powerful tool for modeling fixed and random effects simultaneously, but do not offer a feasible analytic solution for estimating the…”
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Estimating psychological networks and their accuracy: A tutorial paper by Epskamp, Sacha, Borsboom, Denny, Fried, Eiko I.

“…The usage of psychological networks that conceptualize behavior as a complex interplay of psychological and other components has gained increasing popularity…”
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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 by Xia, Yan, Yang, Yanyun

“…In structural equation modeling, application of the root mean square error of approximation (RMSEA), comparative fit index (CFI), and Tucker–Lewis index (TLI)…”
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Thinking twice about sum scores by McNeish, Daniel, Wolf, Melissa Gordon

“…A common way to form scores from multiple-item scales is to sum responses of all items. Though sum scoring is often contrasted with factor analysis as a…”
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Online panels in social science research: Expanding sampling methods beyond Mechanical Turk by Chandler, Jesse, Rosenzweig, Cheskie, Moss, Aaron J., Robinson, Jonathan, Litman, Leib

“…Amazon Mechanical Turk (MTurk) is widely used by behavioral scientists to recruit research participants. MTurk offers advantages over traditional student…”
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The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences by Hedge, Craig, Powell, Georgina, Sumner, Petroc

“…Individual differences in cognitive paradigms are increasingly employed to relate cognition to brain structure, chemistry, and function. However, such efforts…”
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semPower: General power analysis for structural equation models by Moshagen, Morten, Bader, Martina

“…Structural equation modeling (SEM) is a widespread and commonly used approach to test substantive hypotheses in the social and behavioral sciences. When…”
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TurkPrime.com: A versatile crowdsourcing data acquisition platform for the behavioral sciences by Litman, Leib, Robinson, Jonathan, Abberbock, Tzvi

“…In recent years, Mechanical Turk (MTurk) has revolutionized social science by providing a way to collect behavioral data with unprecedented speed and…”
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Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk by Hauser, David J., Moss, Aaron J., Rosenzweig, Cheskie, Jaffe, Shalom N., Robinson, Jonathan, Litman, Leib

“…Maintaining data quality on Amazon Mechanical Turk (MTurk) has always been a concern for researchers. These concerns have grown recently due to the bot crisis…”
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Evaluating significance in linear mixed-effects models in R by Luke, Steven G.

“…Mixed-effects models are being used ever more frequently in the analysis of experimental data. However, in the lme4 package in R the standards for evaluating…”
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Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation by Cain, Meghan K., Zhang, Zhiyong, Yuan, Ke-Hai

“…Nonnormality of univariate data has been extensively examined previously (Blanca et al., Methodology: European Journal of Research Methods for the Behavioral…”
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Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares by Li, Cheng-Hsien

“…In confirmatory factor analysis (CFA), the use of maximum likelihood (ML) assumes that the observed indicators follow a continuous and multivariate normal…”
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Realistic precision and accuracy of online experiment platforms, web browsers, and devices by Anwyl-Irvine, Alexander, Dalmaijer, Edwin S., Hodges, Nick, Evershed, Jo K.

“…Due to increasing ease of use and ability to quickly collect large samples, online behavioural research is currently booming. With this popularity, it is…”
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Automating creativity assessment with SemDis: An open platform for computing semantic distance by Beaty, Roger E., Johnson, Dan R.

“…Creativity research requires assessing the quality of ideas and products. In practice, conducting creativity research often involves asking several human…”
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