Abstract

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.

Highlights

  • Experimental paradigms are a common means by which we quantify human behavior

  • This section is intended for more technical readers and those interested in development of the Experiment Factory modules, and we provide a Glossary of terms (Table 3) to explain more technical jargon

  • While a complete review of proper experimental design (e.g., MacWhinney et al, 2001) is outside of the scope of this technical paper, we have provided equivalent “best practices” for the development of a new paradigm to our documentation, and are optimistic that having an open source framework will ensure many eyes pass over the experiments, minimizing errors in implementations

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Summary

Introduction

Experimental paradigms are a common means by which we quantify human behavior. Given this central role, there would ideally be a coordinated effort to develop and deploy standardized paradigms. There is currently no large, open repository of paradigms that can serve as a resource and standard for the field. Without such a resource, individual labs must either spend unnecessary time coding tasks, or pay for commercial products that provide a battery of psychological assessments. Behavioral science can benefit from a more concentrated and conscious effort to adopt modern technology, including instant online access to deploying surveys (e.g., www.surveymonkey.com, www. qualtrics.com), integration with social media (e.g., Facebook, Twitter), and a general movement toward a fast, broad collection of data (Mason and Suri, 2011)

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