DscoreApp: A Shiny Web Application for the Computation of the Implicit Association Test D-Score

Frontiers in Psychology

article

Ottavia M. Epifania¹  Egidio Robusto¹ 

[1] Department of Philosophy, University of Padova

关键词: implicit association test;    implicit measures;    shiny;    web application;    D-score;    user-friendly;    social cognition;   

DOI  :  10.3389/fpsyg.2019.02938

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Several options are available for computing the most common score for the Implicit Association Test, the so-called D-score . However, all these options come with some drawbacks, related to either the need for a license, for being tailored on a specific administration procedure, or for requiring a degree of familiarity with programming. By using the R shiny package, a user-friendly, interactive, and open source web application (DscoreApp) has been created for the D-score computation. This app provides different options for computing the D-score algorithms and for applying different cleaning criteria. Beyond making the D-score computation easier, DscoreApp offers the chance to have an immediate glimpse on the results and to see how they change according to different settings configurations. The resulting D-score s are immediately available and can be seen in easy-readable and interactive graphs, along with meaningful descriptive statistics. Graphical representations, data sets containing the D-score s, and other information on participants' performance are downloadable. In this work, the use of DscoreApp is illustrated on an empirical data set.

【 授权许可】

CC BY