181 related articles for article (PubMed ID: 29044460)
1. A semi-parametric within-subject mixture approach to the analyses of responses and response times.
Molenaar D; Bolsinova M; Vermunt JK
Br J Math Stat Psychol; 2018 May; 71(2):205-228. PubMed ID: 29044460
[TBL] [Abstract][Full Text] [Related]
2. A heteroscedastic hidden Markov mixture model for responses and categorized response times.
Molenaar D; Rózsa S; Bolsinova M
Behav Res Methods; 2019 Apr; 51(2):676-696. PubMed ID: 30924104
[TBL] [Abstract][Full Text] [Related]
3. Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times.
Molenaar D; de Boeck P
Psychometrika; 2018 Jun; 83(2):279-297. PubMed ID: 29392567
[TBL] [Abstract][Full Text] [Related]
4. Hidden Markov Item Response Theory Models for Responses and Response Times.
Molenaar D; Oberski D; Vermunt J; De Boeck P
Multivariate Behav Res; 2016; 51(5):606-626. PubMed ID: 27712114
[TBL] [Abstract][Full Text] [Related]
5. A mixture hierarchical model for response times and response accuracy.
Wang C; Xu G
Br J Math Stat Psychol; 2015 Nov; 68(3):456-77. PubMed ID: 25873487
[TBL] [Abstract][Full Text] [Related]
6. A mixture model for responses and response times with a higher-order ability structure to detect rapid guessing behaviour.
Lu J; Wang C; Zhang J; Tao J
Br J Math Stat Psychol; 2020 May; 73(2):261-288. PubMed ID: 31385609
[TBL] [Abstract][Full Text] [Related]
7. Robust estimation of the hierarchical model for responses and response times.
Ranger J; Wolgast A; Kuhn JT
Br J Math Stat Psychol; 2019 Feb; 72(1):83-107. PubMed ID: 30051905
[TBL] [Abstract][Full Text] [Related]
8. Semi-parametric proportional hazards models with crossed random effects for psychometric response times.
Loeys T; Legrand C; Schettino A; Pourtois G
Br J Math Stat Psychol; 2014 May; 67(2):304-27. PubMed ID: 23937392
[TBL] [Abstract][Full Text] [Related]
9. The linear transformation model with frailties for the analysis of item response times.
Wang C; Chang HH; Douglas JA
Br J Math Stat Psychol; 2013 Feb; 66(1):144-68. PubMed ID: 22506914
[TBL] [Abstract][Full Text] [Related]
10. A Two-Stage Approach to Differentiating Normal and Aberrant Behavior in Computer Based Testing.
Wang C; Xu G; Shang Z
Psychometrika; 2018 Mar; 83(1):223-254. PubMed ID: 27796763
[TBL] [Abstract][Full Text] [Related]
11. Identification of the 1PL model with guessing parameter: parametric and semi-parametric results.
San Martín E; Rolin JM; Castro LM
Psychometrika; 2013 Apr; 78(2):341-79. PubMed ID: 25107620
[TBL] [Abstract][Full Text] [Related]
12. Modeling Differences Between Response Times of Correct and Incorrect Responses.
Bolsinova M; Tijmstra J
Psychometrika; 2019 Dec; 84(4):1018-1046. PubMed ID: 31463656
[TBL] [Abstract][Full Text] [Related]
13. Improving precision of ability estimation: Getting more from response times.
Bolsinova M; Tijmstra J
Br J Math Stat Psychol; 2018 Feb; 71(1):13-38. PubMed ID: 28635139
[TBL] [Abstract][Full Text] [Related]
14. A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times.
Kang I; Jeon M; Partchev I
Psychometrika; 2023 Sep; 88(3):830-864. PubMed ID: 37316615
[TBL] [Abstract][Full Text] [Related]
15. Response style analysis with threshold and multi-process IRT models: A review and tutorial.
Böckenholt U; Meiser T
Br J Math Stat Psychol; 2017 Feb; 70(1):159-181. PubMed ID: 28130934
[TBL] [Abstract][Full Text] [Related]
16. A Generalized Speed-Accuracy Response Model for Dichotomous Items.
van Rijn PW; Ali US
Psychometrika; 2018 Mar; 83(1):109-131. PubMed ID: 29164449
[TBL] [Abstract][Full Text] [Related]
17. Parametric and nonparametric population methods: their comparative performance in analysing a clinical dataset and two Monte Carlo simulation studies.
Bustad A; Terziivanov D; Leary R; Port R; Schumitzky A; Jelliffe R
Clin Pharmacokinet; 2006; 45(4):365-83. PubMed ID: 16584284
[TBL] [Abstract][Full Text] [Related]
18. Evaluating Model-Data Fit by Comparing Parametric and Nonparametric Item Response Functions: Application of a Tukey-Hann Procedure.
Jennings JK; Engelhard G
J Appl Meas; 2017; 18(1):54-66. PubMed ID: 28453499
[TBL] [Abstract][Full Text] [Related]
19. Limited information estimation of the diffusion-based item response theory model for responses and response times.
Ranger J; Kuhn JT; Szardenings C
Br J Math Stat Psychol; 2016 May; 69(2):122-38. PubMed ID: 26853083
[TBL] [Abstract][Full Text] [Related]
20. Cognitive diagnosis modelling incorporating item response times.
Zhan P; Jiao H; Liao D
Br J Math Stat Psychol; 2018 May; 71(2):262-286. PubMed ID: 28872185
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
