Literature DB >> 28474767

Spontaneous and imposed speed of cognitive test responses.

Paul De Boeck1,2, Haiqin Chen3, Mark Davison4.   

Abstract

Based on data from a cognitive test presented in a condition with time constraints per item and a condition without time constraints, the effect of speed on accuracy is investigated. First, if the effect of imposed speed on accuracy is negative it can be explained by the speed-accuracy trade-off, and if it can be captured through the corresponding latent variables, then measurement invariance applies between a condition with and a condition without time constraints. The results do show a negative effect and a lack of measurement invariance. Second, the conditional accuracy function (CAF) is investigated in both conditions, with and without time constraints. The CAF shows an (item-dependent) negative conditional dependence between response time and response accuracy and thus a positive relationship between speed and accuracy, which implies that faster responses are more accurate. In sum, there seem to be two kinds of speed effects: a speed-accuracy trade-off effect induced by imposed speed and an opposite CAF effect associated with speed within conditions. The second effect is interpreted as stemming from a within-person variation of the cognitive capacity during the test which simultaneously favours or disfavours speed and accuracy.
© 2017 The British Psychological Society.

Entities:  

Keywords:  accuracy; cognitive tests; speed

Mesh:

Year:  2017        PMID: 28474767     DOI: 10.1111/bmsp.12094

Source DB:  PubMed          Journal:  Br J Math Stat Psychol        ISSN: 0007-1102            Impact factor:   3.380


  4 in total

1.  A Generalized Speed-Accuracy Response Model for Dichotomous Items.

Authors:  Peter W van Rijn; Usama S Ali
Journal:  Psychometrika       Date:  2017-11-21       Impact factor: 2.500

2.  Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times.

Authors:  Dylan Molenaar; Paul de Boeck
Journal:  Psychometrika       Date:  2018-02-01       Impact factor: 2.500

3.  Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts.

Authors:  Kaiwen Man; Jeffrey R Harring; Peida Zhan
Journal:  Appl Psychol Meas       Date:  2022-05-27

4.  Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model.

Authors:  Inhan Kang; Paul De Boeck; Roger Ratcliff
Journal:  Psychometrika       Date:  2022-01-06       Impact factor: 2.500

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.