Literature DB >> 31054065

Using Response Times to Model Not-Reached Items due to Time Limits.

Steffi Pohl1, Esther Ulitzsch2, Matthias von Davier3.   

Abstract

Missing values at the end of a test typically are the result of test takers running out of time and can as such be understood by studying test takers' working speed. As testing moves to computer-based assessment, response times become available allowing to simulatenously model speed and ability. Integrating research on response time modeling with research on modeling missing responses, we propose using response times to model missing values due to time limits. We identify similarities between approaches used to account for not-reached items (Rose et al. in ETS Res Rep Ser 2010:i-53, 2010) and the speed-accuracy (SA) model for joint modeling of effective speed and effective ability as proposed by van der Linden (Psychometrika 72(3):287-308, 2007). In a simulation, we show (a) that the SA model can recover parameters in the presence of missing values due to time limits and (b) that the response time model, using item-level timing information rather than a count of not-reached items, results in person parameter estimates that differ from missing data IRT models applied to not-reached items. We propose using the SA model to model the missing data process and to use both, ability and speed, to describe the performance of test takers. We illustrate the application of the model in an empirical analysis.

Entities:  

Keywords:  Bayesian modeling; item response theory; missing responses; not-reached items; response times; time limit

Mesh:

Year:  2019        PMID: 31054065     DOI: 10.1007/s11336-019-09669-2

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  12 in total

1.  Modelling non-ignorable missing-data mechanisms with item response theory models.

Authors:  Rebecca Holman; Cees A W Glas
Journal:  Br J Math Stat Psychol       Date:  2005-05       Impact factor: 3.380

2.  Hidden Markov Item Response Theory Models for Responses and Response Times.

Authors:  Dylan Molenaar; Daniel Oberski; Jeroen Vermunt; Paul De Boeck
Journal:  Multivariate Behav Res       Date:  2016-08-11       Impact factor: 5.923

3.  Taking the Missing Propensity Into Account When Estimating Competence Scores: Evaluation of Item Response Theory Models for Nonignorable Omissions.

Authors:  Carmen Köhler; Steffi Pohl; Claus H Carstensen
Journal:  Educ Psychol Meas       Date:  2014-12-25       Impact factor: 2.821

4.  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

5.  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

6.  Estimating mutation parameters, population history and genealogy simultaneously from temporally spaced sequence data.

Authors:  Alexei J Drummond; Geoff K Nicholls; Allen G Rodrigo; Wiremu Solomon
Journal:  Genetics       Date:  2002-07       Impact factor: 4.562

7.  Response moderation models for conditional dependence between response time and response accuracy.

Authors:  Maria Bolsinova; Jesper Tijmstra; Dylan Molenaar
Journal:  Br J Math Stat Psychol       Date:  2016-09-12       Impact factor: 3.380

8.  A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers.

Authors:  R H Klein Entink; J-P Fox; W J van der Linden
Journal:  Psychometrika       Date:  2008-08-23       Impact factor: 2.500

9.  Commentary: On the Importance of the Speed-Ability Trade-Off When Dealing With Not Reached Items.

Authors:  Steffi Pohl; Matthias von Davier
Journal:  Front Psychol       Date:  2018-10-30

10.  Measuring Ability, Speed, or Both? Challenges, Psychometric Solutions, and What Can Be Gained From Experimental Control.

Authors:  Frank Goldhammer
Journal:  Measurement ( Mahwah N J)       Date:  2015-12-07
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  4 in total

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

Authors:  Esther Ulitzsch; Matthias von Davier; Steffi Pohl
Journal:  Educ Psychol Meas       Date:  2019-10-21       Impact factor: 2.821

2.  On the Speed Sensitivity Parameter in the Lognormal Model for Response Times and Implications for High-Stakes Measurement Practice.

Authors:  Benjamin Becker; Dries Debeer; Sebastian Weirich; Frank Goldhammer
Journal:  Appl Psychol Meas       Date:  2021-06-09

3.  Automated Bot Detection Using Bayesian Latent Class Models in Online Surveys.

Authors:  Zachary Joseph Roman; Holger Brandt; Jason Michael Miller
Journal:  Front Psychol       Date:  2022-04-27

4.  Modeling Not-Reached Items in Cognitive Diagnostic Assessments.

Authors:  Lidan Liang; Jing Lu; Jiwei Zhang; Ningzhong Shi
Journal:  Front Psychol       Date:  2022-06-13
  4 in total

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