Literature DB >> 32425218

A Multiprocess Item Response Model for Not-Reached Items due to Time Limits and Quitting.

Esther Ulitzsch1, Matthias von Davier2, Steffi Pohl1.   

Abstract

So far, modeling approaches for not-reached items have considered one single underlying process. However, missing values at the end of a test can occur for a variety of reasons. On the one hand, examinees may not reach the end of a test due to time limits and lack of working speed. On the other hand, examinees may not attempt all items and quit responding due to, for example, fatigue or lack of motivation. We use response times retrieved from computerized testing to distinguish missing data due to lack of speed from missingness due to quitting. On the basis of this information, we present a new model that allows to disentangle and simultaneously model different missing data mechanisms underlying not-reached items. The model (a) supports a more fine-grained understanding of the processes underlying not-reached items and (b) allows to disentangle different sources describing test performance. In a simulation study, we evaluate estimation of the proposed model. In an empirical study, we show what insights can be gained regarding test-taking behavior using this model.
© The Author(s) 2019.

Entities:  

Keywords:  item response theory; missing data; not-reached items; response times; survival

Year:  2019        PMID: 32425218      PMCID: PMC7221493          DOI: 10.1177/0013164419878241

Source DB:  PubMed          Journal:  Educ Psychol Meas        ISSN: 0013-1644            Impact factor:   2.821


  11 in total

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Authors:  R H Klein Entink; W J van der Linden; J-P Fox
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4.  Using Response Times for Joint Modeling of Response and Omission Behavior.

Authors:  Esther Ulitzsch; Matthias von Davier; Steffi Pohl
Journal:  Multivariate Behav Res       Date:  2019-08-26       Impact factor: 5.923

5.  Modeling Omitted and Not-Reached Items in IRT Models.

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Journal:  Psychometrika       Date:  2016-11-15       Impact factor: 2.500

6.  A generalized linear factor model approach to the hierarchical framework for responses and response times.

Authors:  Dylan Molenaar; Francis Tuerlinckx; Han L J van der Maas
Journal:  Br J Math Stat Psychol       Date:  2014-08-11       Impact factor: 3.380

7.  A Comparison of Inverse-Wishart Prior Specifications for Covariance Matrices in Multilevel Autoregressive Models.

Authors:  N K Schuurman; R P P P Grasman; E L Hamaker
Journal:  Multivariate Behav Res       Date:  2016-03-30       Impact factor: 5.923

8.  Joint Modeling of Ability and Differential Speed Using Responses and Response Times.

Authors:  Jean-Paul Fox; Sukaesi Marianti
Journal:  Multivariate Behav Res       Date:  2016-06-07       Impact factor: 5.923

9.  Prior sensitivity analysis in default Bayesian structural equation modeling.

Authors:  Sara van Erp; Joris Mulder; Daniel L Oberski
Journal:  Psychol Methods       Date:  2017-11-27

10.  A Semiparametric Approach for Modeling Not-Reached Items.

Authors:  Marit Kristine List; Olaf Köller; Gabriel Nagy
Journal:  Educ Psychol Meas       Date:  2017-12-27       Impact factor: 2.821

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