Combining the P300-complex trial-based Concealed Information Test and the reaction time-based autobiographical Implicit Association Test in concealed memory detection

2012 ◽  
pp. n/a-n/a ◽  
Author(s):  
Xiaoqing Hu ◽  
J. Peter Rosenfeld
Keyword(s):  
Reaction Time ◽  
Implicit Association Test ◽  
Association Test ◽  
Implicit Association ◽  
Concealed Information Test ◽  
Concealed Information ◽  
Information Test

scholarly journals Familiarity-based fillers improve the validity of reaction time-based memory detection

2016 ◽  
Author(s):  
Bruno Verschuere ◽  
Gáspár Lukács ◽  
Bennett Kleinberg
Keyword(s):  
Reaction Time ◽  
Real Life ◽  
Concealed Information Test ◽  
Test Protocol ◽  
Single Probe ◽  
Multiple Probe ◽  
Concealed Information ◽  
Information Test

The reaction time (RT)-based Concealed Information Test (CIT) allows for the detection of concealed knowledge (e.g., one’s true identity) when the questions are presented randomly (multiple-probe protocol), but its performance is much weaker when questions are presented in blocks (e.g., first question about surname, then about birthday; single-probe protocol). The latter test protocol, however, is the preferred and sometimes even the only feasible interviewing method in real-life. In a first, pre-registered, experiment (n = 363), we show that the validity of the single-probe protocol version can be substantially improved by including familiarity-related filler trials (e.g., “KNOWN,” “UNKNOWN”). We replicated these findings in a second, preregistered, experiment (n = 237), where we further found that the use of familiarity-related fillers even improved the classic multiple-probe protocol. We recommend the use of familiarity-related filler trials for the RT-based CIT.

GRace: A MATLAB-Based Application for Fitting the Discrimination-Association Model

2014 ◽  
Vol 17 ◽  
Author(s):  
Luca Stefanutti ◽  
Michelangelo Vianello ◽  
Pasquale Anselmi ◽  
Egidio Robusto
Keyword(s):  
Reaction Time ◽  
Implicit Association Test ◽  
Discrimination Task ◽  
Association Test ◽  
Implicit Association ◽  
Association Model ◽  
Termination Criterion ◽  
User Friendly

AbstractThe Implicit Association Test (IAT) is a computerized two-choice discrimination task in which stimuli have to be categorized as belonging to target categories or attribute categories by pressing, as quickly and accurately as possible, one of two response keys. The discrimination association model has been recently proposed for the analysis of reaction time and accuracy of an individual respondent to the IAT. The model disentangles the influences of three qualitatively different components on the responses to the IAT: stimuli discrimination, automatic association, and termination criterion. The article presents General Race (GRace), a MATLAB-based application for fitting the discrimination association model to IAT data. GRace has been developed for Windows as a standalone application. It is user-friendly and does not require any programming experience. The use of GRace is illustrated on the data of a Coca Cola-Pepsi Cola IAT, and the results of the analysis are interpreted and discussed.

scholarly journals Seen this scene? Scene recognition in the reaction-time Concealed Information Test

2020 ◽  
Vol 48 (8) ◽  
pp. 1388-1402
Author(s):  
Danielle G. Norman ◽  
Daniel A. Gunnell ◽  
Aleksandra J. Mrowiec ◽  
Derrick G. Watson
Keyword(s):  
Reaction Time ◽  
Scene Recognition ◽  
Concealed Information Test ◽  
Concealed Information ◽  
Information Test

scholarly journals What are you hiding? Initial validation of the reaction time‐based searching concealed information test

2020 ◽  
Vol 34 (6) ◽  
pp. 1406-1418
Author(s):  
Dave Koller ◽  
Franziska Hofer ◽  
Tuule Grolig ◽  
Signe Ghelfi ◽  
Bruno Verschuere
Keyword(s):  
Reaction Time ◽  
Concealed Information Test ◽  
Initial Validation ◽  
Concealed Information ◽  
Information Test
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