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Items: 1 to 20 of 25

1.

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. doi: 10.3758/s13428-019-01229-x.

2.

Nonlinear Indicator-Level Moderation in Latent Variable Models.

Bolsinova M, Molenaar D.

Multivariate Behav Res. 2019 Jan-Feb;54(1):62-84. doi: 10.1080/00273171.2018.1486174. Epub 2018 Dec 4.

PMID:
30513219
3.

Modeling Nonlinear Conditional Dependence Between Response Time and Accuracy.

Bolsinova M, Molenaar D.

Front Psychol. 2018 Sep 7;9:1525. doi: 10.3389/fpsyg.2018.01525. eCollection 2018.

4.

Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times.

Molenaar D, de Boeck P.

Psychometrika. 2018 Jun;83(2):279-297. doi: 10.1007/s11336-017-9602-9. Epub 2018 Feb 1.

PMID:
29392567
5.

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. doi: 10.1111/bmsp.12117. Epub 2017 Oct 17.

PMID:
29044460
6.

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

Molenaar D, Bolsinova M.

Br J Math Stat Psychol. 2017 May;70(2):297-316. doi: 10.1111/bmsp.12087. Epub 2017 Feb 3.

7.

Cognitive and psychometric modelling of responses and response times.

Molenaar D, Visser I.

Br J Math Stat Psychol. 2017 May;70(2):185-186. doi: 10.1111/bmsp.12102. No abstract available.

PMID:
28474766
8.

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

Bolsinova M, Tijmstra J, Molenaar D, De Boeck P.

Front Psychol. 2017 Feb 16;8:202. doi: 10.3389/fpsyg.2017.00202. eCollection 2017.

9.

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

Molenaar D, Oberski D, Vermunt J, De Boeck P.

Multivariate Behav Res. 2016 Sep-Oct;51(5):606-626. doi: 10.1080/00273171.2016.1192983. Epub 2016 Aug 11.

PMID:
27712114
10.

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

Bolsinova M, Tijmstra J, Molenaar D.

Br J Math Stat Psychol. 2017 May;70(2):257-279. doi: 10.1111/bmsp.12076. Epub 2016 Sep 12.

PMID:
27618470
11.

Dependence of Gene-by-Environment Interactions (GxE) on Scaling: Comparing the Use of Sum Scores, Transformed Sum Scores and IRT Scores for the Phenotype in Tests of GxE.

Murray AL, Molenaar D, Johnson W, Krueger RF.

Behav Genet. 2016 Jul;46(4):552-72. doi: 10.1007/s10519-016-9783-5. Epub 2016 Feb 1.

PMID:
26833465
12.

A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times.

Molenaar D, Tuerlinckx F, van der Maas HL.

Multivariate Behav Res. 2015;50(1):56-74. doi: 10.1080/00273171.2014.962684.

PMID:
26609743
13.

When Middle Really Means "Top" or "Bottom": An Analysis of the 16PF5 Using Bock's Nominal Response Model.

Murray AL, Booth T, Molenaar D.

J Pers Assess. 2016;98(3):319-31. doi: 10.1080/00223891.2015.1095197. Epub 2015 Nov 7.

PMID:
26549278
14.

Analysis of Behavioral and Emotional Problems in Children Highlights the Role of Genotype × Environment Interaction.

Molenaar D, Middeldorp C, van Beijsterveldt T, Boomsma DI.

Child Dev. 2015 Nov-Dec;86(6):1999-2016. doi: 10.1111/cdev.12451. Epub 2015 Oct 28.

PMID:
26509842
15.

Evidence for Gender-Dependent Genotype by Environment Interaction in Adult Depression.

Molenaar D, Middeldorp CM, Willemsen G, Ligthart L, Nivard MG, Boomsma DI.

Behav Genet. 2016 Jan;46:59-71. doi: 10.1007/s10519-015-9752-4. Epub 2015 Oct 14.

16.

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

Molenaar D, Tuerlinckx F, van der Maas HL.

Br J Math Stat Psychol. 2015 May;68(2):197-219. doi: 10.1111/bmsp.12042. Epub 2014 Aug 11.

PMID:
25109494
17.

Heteroscedastic Latent Trait Models for Dichotomous Data.

Molenaar D.

Psychometrika. 2015 Sep;80(3):625-44. doi: 10.1007/s11336-014-9406-0. Epub 2014 Aug 1.

PMID:
25080866
18.

Testing systematic genotype by environment interactions using item level data.

Molenaar D, Dolan CV.

Behav Genet. 2014 May;44(3):212-31. doi: 10.1007/s10519-014-9647-9. Epub 2014 Feb 22.

PMID:
24563263
19.

Genotype by environment interactions in cognitive ability: a survey of 14 studies from four countries covering four age groups.

Molenaar D, van der Sluis S, Boomsma DI, Haworth CM, Hewitt JK, Martin NG, Plomin R, Wright MJ, Dolan CV.

Behav Genet. 2013 May;43(3):208-19. doi: 10.1007/s10519-012-9581-7. Epub 2013 Feb 10.

20.

The Heteroscedastic Graded Response Model with a Skewed Latent Trait: Testing Statistical and Substantive Hypotheses Related to Skewed Item Category Functions.

Molenaar D, Dolan CV, de Boeck P.

Psychometrika. 2012 Jul;77(3):455-78. doi: 10.1007/s11336-012-9273-5. Epub 2012 May 19.

PMID:
27519776

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