: 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-scores 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-scores, and other information on participants' performance are downloadable. In this work, the use of DscoreApp is illustrated on an empirical data set.

DscoreApp: A Shiny Web Application for the Computation of the Implicit Association Test D-Score / Epifania, Ottavia Marina; Anselmi, Pasquale; Robusto, Egidio. - In: FRONTIERS IN PSYCHOLOGY. - ISSN 1664-1078. - 10:(2020). [10.3389/fpsyg.2019.02938]

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

Epifania, Ottavia Marina
Primo
;
2020-01-01

Abstract

: 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-scores 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-scores, and other information on participants' performance are downloadable. In this work, the use of DscoreApp is illustrated on an empirical data set.
2020
Epifania, Ottavia Marina; Anselmi, Pasquale; Robusto, Egidio
DscoreApp: A Shiny Web Application for the Computation of the Implicit Association Test D-Score / Epifania, Ottavia Marina; Anselmi, Pasquale; Robusto, Egidio. - In: FRONTIERS IN PSYCHOLOGY. - ISSN 1664-1078. - 10:(2020). [10.3389/fpsyg.2019.02938]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/416590
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