Literature DB >> 25109494

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

Dylan Molenaar1, Francis Tuerlinckx, Han L J van der Maas.   

Abstract

We show how the hierarchical model for responses and response times as developed by van der Linden (2007), Fox, Klein Entink, and van der Linden (2007), Klein Entink, Fox, and van der Linden (2009), and Glas and van der Linden (2010) can be simplified to a generalized linear factor model with only the mild restriction that there is no hierarchical model at the item side. This result is valuable as it enables all well-developed modelling tools and extensions that come with these methods. We show that the restriction we impose on the hierarchical model does not influence parameter recovery under realistic circumstances. In addition, we present two illustrative real data analyses to demonstrate the practical benefits of our approach.
© 2014 The British Psychological Society.

Entities:  

Keywords:  censoring; conditional independence; generalized linear factor model; method variance; response time modelling

Mesh:

Year:  2014        PMID: 25109494     DOI: 10.1111/bmsp.12042

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


  16 in total

1.  Modeling Differences Between Response Times of Correct and Incorrect Responses.

Authors:  Maria Bolsinova; Jesper Tijmstra
Journal:  Psychometrika       Date:  2019-08-28       Impact factor: 2.500

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

Authors:  Steffi Pohl; Esther Ulitzsch; Matthias von Davier
Journal:  Psychometrika       Date:  2019-05-03       Impact factor: 2.500

3.  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

4.  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

5.  Application of Change Point Analysis of Response Time Data to Detect Test Speededness.

Authors:  Ying Cheng; Can Shao
Journal:  Educ Psychol Meas       Date:  2021-09-20       Impact factor: 3.088

6.  Using a Response Time-Based Expected A Posteriori Estimator to Control for Differential Speededness in Computerized Adaptive Test.

Authors:  Justin L Kern; Edison Choe
Journal:  Appl Psychol Meas       Date:  2021-06-10

7.  Assessing Preknowledge Cheating via Innovative Measures: A Multiple-Group Analysis of Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts.

Authors:  Kaiwen Man; Jeffrey R Harring
Journal:  Educ Psychol Meas       Date:  2020-10-31       Impact factor: 3.088

8.  A heteroscedastic generalized linear model with a non-normal speed factor for responses and response times.

Authors:  Dylan Molenaar; Maria Bolsinova
Journal:  Br J Math Stat Psychol       Date:  2017-02-03       Impact factor: 3.380

9.  Conditional Dependence between Response Time and Accuracy: An Overview of its Possible Sources and Directions for Distinguishing between Them.

Authors:  Maria Bolsinova; Jesper Tijmstra; Dylan Molenaar; Paul De Boeck
Journal:  Front Psychol       Date:  2017-02-16

10.  Joint Testlet Cognitive Diagnosis Modeling for Paired Local Item Dependence in Response Times and Response Accuracy.

Authors:  Peida Zhan; Manqian Liao; Yufang Bian
Journal:  Front Psychol       Date:  2018-04-25
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