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      Probing the mechanisms underlying numerosity-to-numeral mappings and their relation to math competence

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      Psychological Research
      Springer Science and Business Media LLC

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

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              Bayesian inference for psychology. Part II: Example applications with JASP

              Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.
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                Author and article information

                Journal
                Psychological Research
                Psychological Research
                Springer Science and Business Media LLC
                0340-0727
                1430-2772
                April 2021
                February 14 2020
                April 2021
                : 85
                : 3
                : 1248-1271
                Article
                10.1007/s00426-020-01299-z
                a4fb3bdb-8c2a-414c-abe8-28c718f1b0bd
                © 2021

                https://www.springer.com/tdm

                https://www.springer.com/tdm


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