The administration of behavioral and experimental paradigms for psychology research is hindered by lack of a coordinated effort to develop and deploy standardized paradigms. While several frameworks (Mason and Suri, 2011; McDonnell et al., 2012; de Leeuw, 2015; Lange et al., 2015) have provided infrastructure and methods for individual research groups to develop paradigms, missing is a coordinated effort to develop paradigms linked with a system to easily deploy them. This disorganization leads to redundancy in development, divergent implementations of conceptually identical tasks, disorganized and error-prone code lacking documentation, and difficulty in replication. The ongoing reproducibility crisis in psychology and neuroscience research (Baker, 2015; Open Science Collaboration, 2015) highlights the urgency of this challenge: reproducible research in behavioral psychology is conditional on deployment of equivalent experiments. A large, accessible repository of experiments for researchers to develop collaboratively is most efficiently accomplished through an open source framework. Here we present the Experiment Factory, an open source framework for the development and deployment of web-based experiments. The modular infrastructure includes experiments, virtual machines for local or cloud deployment, and an application to drive these components and provide developers with functions and tools for further extension. We release this infrastructure with a deployment (http://www.expfactory.org) that researchers are currently using to run a set of over 80 standardized web-based experiments on Amazon Mechanical Turk. By providing open source tools for both deployment and development, this novel infrastructure holds promise to bring reproducibility to the administration of experiments, and accelerate scientific progress by providing a shared community resource of psychological paradigms.
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http://dx.doi.org/10.3389/fpsyg.2016.00610 | DOI Listing |
BMC Public Health
January 2025
Department of Family Medicine and Public Health, Sultan Qaboos University, Muscat, Oman.
Background: Understanding the determinants of life expectancy (LE) is essential for effective policy planning and enhancing public health in the Gulf Cooperation Council (GCC) countries. This study aims to elucidate the complex interactions among sociodemographic (SD), macroeconomic (ME), and health resource (HR) factors that influence LE among the GCC countries.
Methods: We employed a Meta-Analytic Structural Equation Modeling to develop a comparative model across six GCC countries using annual data from 1990 to 2020.
BMC Med Inform Decis Mak
January 2025
Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Electronic health records (EHRs) provide a rich source of observational patient data that can be explored to infer underlying causal relationships. These causal relationships can be applied to augment medical decision-making or suggest hypotheses for healthcare research. In this study, we explored a large-scale EHR dataset on patients with asthma or related conditions (N = 14,937).
View Article and Find Full Text PDFCogn Affect Behav Neurosci
January 2025
Department of Psychological Sciences, Rice University, Houston, TX, 77005, USA.
In a sequence, at least two aspects of information-the identity of items and their serial order-are maintained and supported by distinct working memory (WM) capacities. Verbal serial order WM is modulated by spatial processing, reflected in the Spatial Position Association of Response Codes (SPoARC) effect-the left-beginning, right-end positional association between space and serial position of verbal WM memoranda. We investigated the individual differences in this modulation with both behavioral and neurobiological approaches.
View Article and Find Full Text PDFSci Rep
January 2025
School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang, China.
A subgroup analysis of a randomized study demonstrated that patients with advanced or metastatic liposarcoma treated with eribulin had longer overall survival and progression-free survival compared to those treated with dacarbazine, suggesting eribulin as a therapeutic option for advanced liposarcoma. Therefore, this study aims to evaluate the cost-effectiveness of eribulin versus dacarbazine in the treatment of advanced liposarcoma. We established a 10-year Markov model to compare the cost-effectiveness of eribulin and dacarbazine regimens.
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