caa a22 4500 60624204X CHVBK 20210128101316.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s11336-014-9419-8 doi (NATIONALLICENCE)springer-10.1007/s11336-014-9419-8 A Mixture Cure-Rate Model for Responses and Response Times inTime-Limit Tests [Elektronische Daten] [Yi-Hsuan Lee, Zhiliang Ying] Many large-scale standardized tests are intended to measure skills related to ability rather than the rate at which examinees can work. Time limits imposed on these tests make it difficult to distinguish between the effect of low proficiency and the effect of lack of time. This paper proposes a mixture cure-rate model approach to address this issue. Maximum likelihood estimation is proposed for parameter and variance estimation for three cases: when examinee parameters are to be estimated given precalibrated item parameters, when item parameters are to be calibrated given known examinee parameters, and when item parameters are to be estimated without assuming known examinee parameters. Large-sample properties are established for the cases under suitable regularity conditions. Simulation studies suggest that the proposed approach is appropriate for inferences concerning model parameters. In addition, not distinguishing between the effect of low proficiency and the effect of lack of time is shown to have considerable consequences for parameter estimation. A real data example is presented to demonstrate the new model. Choice of survival models for the latent power times is also discussed. The Psychometric Society, 2014 response time nationallicence time limit nationallicence power test nationallicence speed test nationallicence survival analysis nationallicence censoring nationallicence cure model nationallicence Lee Yi-Hsuan Educational Testing Service, Princeton, NJ, USA aut Ying Zhiliang Columbia University, New York, NY, USA aut Psychometrika Springer US; http://www.springer-ny.com 80/3(2015-09-01), 748-775 0033-3123 80:3<748 2015 80 11336 https://doi.org/10.1007/s11336-014-9419-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11336-014-9419-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lee Yi-Hsuan Educational Testing Service, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Ying Zhiliang Columbia University, New York, NY, USA aut NATIONALLICENCE 773 0- Psychometrika Springer US; http://www.springer-ny.com 80/3(2015-09-01), 748-775 0033-3123 80:3<748 2015 80 11336