dr. D. (Dylan) Molenaar
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Faculty of Social and Behavioural Sciences
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Weesperplein
4
1018 XA Amsterdam
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D.Molenaar@uva.nl
T: 0205256584
About...
Dylan Molenaar is assistant professor of Psychometrics at the department of Psychological Methods. Dylan received his PhD degree in psychology from the University of Amsterdam in 2012 (cum laude). Title of his thesis was "Testing distributional assumptions in psychometric measurement models with substantive applications in psychology". His research interests are item response theory, factor analysis, response time modeling, intelligence, and statistical modeling of genotype by environment interactions.
Education
- 2012: PhD Psychology ( cum laude ), University of Amsterdam
- 2007: MSc Psychology ( cum laude ), University of Amsterdam
Key Publications
- Dylan Molenaar, Francis Tuerlinckx, & Han L.J. van der Maas. (in press). A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times. Multivariate Behavioral Research.
- Dylan Molenaar, Conor V. Dolan, & Paul de Boeck (2012). The Heteroscedastic Graded Response Model with a Skewed Latent Trait: Testing Statistical and Substantive Hypotheses related to Skewed Item Category Functions. Psychometrika, 77 , 455-478.
- Dylan Molenaar , Sophie van der Sluis, Dorret I. Boomsma, & Conor V. Dolan (2012). Detecting Specific Genotype by Environment Interaction using Marginal Maximum Likelihood Estimation in the Classical Twin Design. Behavior Genetics, 42 , 483-499.
- Han L.J. van der Maas, Dylan Molenaar , Gunter Maris, Rogier A. Kievit, & Denny Borsboom (2011). Cognitive Psychology Meets Psychometric Theory: On the Relation Between Process Models for Decision Making and Latent Variable Models for Individual Differences. Psychological Review, 118, 339-356.
- Dylan Molenaar , Conor V. Dolan, Jelte M. Wicherts, & Han L.J. van der Maas (2010). Modeling Differentiation of Cognitive Abilities within the Higher-Order Factor Model using Moderated Factor Analysis. Intelligence, 38, 611-624
- Dylan Molenaar , Conor Dolan, & Norman Verhelst (2010). Testing and modeling non-normality within the one factor model. British Journal of Mathematical and Statistical Psychology, 63, 293-317.
Website
For papers and computer code, please see my website
Courses
- Research Methods (freshman psychology)
- Latent Variable Models (Bachelor psychology)
- Test Theory and Practice (freshman psychology)
2015
- D. Molenaar, F. Tuerlinckx & H.L.J. van der Maas (in press). A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times. Multivariate Behavioral Research.
- D. Borsboom & D. Molenaar (2015). Psychometrics. In J.D. Wright (Ed.), International encyclopedia of the social & behavioral sciences. - 2nd ed (pp. 418-422). Amsterdam: Elsevier.
- D. Molenaar (in press). Intelligence tests. In The Blackwell Encyclopedia of Race, Ethnicity and Nationalism. Wiley-Blackwell.
- F. Tuerlinckx, D. Molenaar & H.L.J. van der Maas (in press). Diffusion-based item response modeling. In W.J. van der Linden & R.K. Hambleton (Eds.), Handbook of Modern Item Response Theory. Chapman and Hall/CRC Press.
- D. Molenaar, F. Tuerlinckx & H.L.J. van der Maas (in press). Fitting Diffusion Item Response Theory Models for Responses and Response Times Using the R-Package diffIRT. Journal of Statistical Software.
- D. Molenaar (in press). Heteroscedastic Latent Trait Models for Dichotomous Data. Psychometrika.
- D. Molenaar, F. Tuerlinckx & H.L.J. van der Maas (in press). A Generalized Linear Factor Model Approach to the Hierarchical Framework for Responses and Response Times. The British Journal of Mathematical & Statistical Psychology.
2014
- D. Molenaar & C.V. Dolan (2014). Testing systematic genotype by environment interactions using item level data. Behavior genetics, 44 (3), 212-231. doi: 10.1007/s10519-014-9647-9
- M. Topper, D. Molenaar, P. Emmelkamp & T. Ehring (2014). Are rumination and worry two sides of the same coin? A structural equation modelling approach. Journal of Experimental Psychopathology, 5 (3), 363-381. doi: 10.5127/jep.038813
2013
- D. Molenaar, S. van der Sluis, D.I. Boomsma, C.M.A. Haworth, J.K. Hewitt, N.G. Martin, R. Plomin, M.J. Wright & C.V. Dolan (2013). Genotype by environment interactions in cognitive ability: a survey of 14 studies from four countries covering four age groups. Behavior genetics, 43 (3), 208-219. doi: 10.1007/s10519-012-9581-7
- D. Molenaar & D. Borsboom (2013). The formalization of fairness: issues in testing for measurement invariance using subtest scores. Educational Research and Evaluation, 19 (2-3), 223-244. doi: 10.1080/13803611.2013.767628
2012
- D. Molenaar, C.V. Dolan & P. de Boeck (2012). The heteroscedastic graded response model with a skewed latent trait: testing statistical and substantive hypotheses related to skewed item category functions. Psychometrika, 77 (3), 455-478. doi: 10.1007/s11336-012-9273-5
- D. Molenaar & C.V. Dolan (2012). Substantively motivated extensions of the traditional latent trait model. Netherlands Journal of Psychology, 67 (3), 48-57.
- D. Molenaar, S. van der Sluis, D.I. Boomsma & C.V. Dolan (2012). Detecting specific genotype by environment interaction using marginal maximum likelihood estimation in the classical twin design. Behavior genetics, 42 (3), 483-499. doi: 10.1007/s10519-011-9522-x
2011
- D. Molenaar, C.V. Dolan & H.L.J. van der Maas (2011). Modeling ability differentiation in the second-order factor model. Structural Equation Modeling, 18 (4), 578-594. doi: 10.1080/10705511.2011.607095
- J.M. Wicherts, M. Bakker & D. Molenaar (2011). Willingness to share research data is related to the strength of the evidence and the quality of reporting of statistical results. PLoS One, 6 (11):e26828. doi: 10.1371/journal.pone.0026828[go to publisher's site]
- H.L.J. van der Maas, D. Molenaar, G. Maris, R.A. Kievit & D. Borsboom (2011). Cognitive psychology meets psychometric theory: on the relation between process models for decision making and latent variable models for individual differences. Psychological Review, 118 (2), 339-356. doi: 10.1037/a0022749
2010
- D. Molenaar, C.V. Dolan, J.M. Wicherts & H.L.J. van der Maas (2010). Modeling differentiation of cognitive abilities within the higher-order factor model using moderated factor analysis. Intelligence, 38 (6), 611-624. doi: 10.1016/j.intell.2010.09.002
- D. Matzke, C.V. Dolan & D. Molenaar (2010). The issue of power in the identification of "g" with lower-order factors. Intelligence, 38 (3), 336-344. doi: 10.1016/j.intell.2010.02.001
- V.T. Visch, E.S. Tan & D. Molenaar (2010). The emotional and cognitive effect of immersion in film viewing. Cognition & Emotion, 24 (8), 1439-1445. doi: 10.1080/02699930903498186
- D. Molenaar, C.V. Dolan & N.D. Verhelst (2010). Testing and modeling non-normality within the one-factor model. The British Journal of Mathematical & Statistical Psychology, 63 (2), 293-317. doi: 10.1348/000711009X456935
2009
- D. Molenaar, C.V. Dolan & J.M. Wicherts (2009). The power to detect sex differences in IQ test scores using multi-group covariance and means structure analyses. Intelligence, 37 (4), 396-404.
2012
- D. Molenaar (2012, April 19). Testing distributional assumptions in psychometric measurement models with substantive applications in psychology. Universiteit van Amsterdam (227 pag.). Supervisor(s): prof.dr. H.L.J. van der Maas & prof.dr. C.V. Dolan.
Prijs
- D. Molenaar (2013). Dissertation Award. Recognition.
Wetenschappelijke positie
- D. Molenaar (period: 2010 till 2010). Organisation of the symposium Population Heterogeneity in SEM and IRT for the 75th annual meeting of the Psychometrics Society, Athens, USA, July Position at : Psychometrics Society, Athens, USA.
Wetenschappelijke positie
- D. Molenaar (2013). Organization of the symposium Psychometric modeling of responses and response times. the 78th annual meeting of the Psychometrics Society: Arnhem, The Netherlands, July..
- D. Molenaar (2011). Organization of the symposium Heterogeneity in Latent Variable Models. the 76th annual meeting of the Psychometrics Society: Hong Kong, China.
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