Fotograaf: onbekend

dhr. dr. D. (Dylan) Molenaar


  • Faculteit der Maatschappij- en Gedragswetenschappen
    Programmagroep: Psychological Methods
  • Bezoekadres
    REC G
    Nieuwe Achtergracht 129  Amsterdam
    Kamernummer: 0.34
  • Postadres:
    Postbus  15906
    1001 NK  Amsterdam
  • D.Molenaar@uva.nl
    T: 0205256584

About...

Dylan Molenaar is an assistant professor at the department of psychology. 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, Daniel Oberski, Jeroen Vermunt, & Paul De Boeck. (in press). Hidden Markov IRT Models for Responses and Response Times. Multivariate Behavioral Research.
  • Dylan Molenaar, Francis Tuerlinckx, & Han L.J. van der Maas. (2015). A Bivariate Generalized Linear Item Response Theory Modeling Framework to the Analysis of Responses and Response Times. Multivariate Behavioral Research, 50, 56-74.  
  • 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 V. 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)

2017

  • Molenaar, D., & Bolsinova, M. A. (2017). A heteroscedastic generalized linear model with a non-normal speed factor for responses and response times. British Journal of Mathematical & Statistical Psychology. DOI: 10.1111/bmsp.12087 [details] [PDF]
  • Molenaar, D., & Visser, I. (2017). Cognitive and psychometric modeling of responses and response times. British Journal of Mathematical & Statistical Psychology, 70(2), 185-186. [details]
  • Xenidou-Dervou, I., Molenaar, D., Ansari, D., van der Schoot, M., & van Lieshout, E. C. D. M. (2017). Nonsymbolic and symbolic magnitude comparison skills as longitudinal predictors of mathematical achievement. Learning and Instruction, 50, 1-13. DOI: 10.1016/j.learninstruc.2016.11.001 [details]
  • de Kort, J. M., Dolan, C. V., Lubke, G. H., & Molenaar, D. (2017). Studying the Strength of Prediction Using Indirect Mixture Modeling: Nonlinear Latent Regression with Heteroskedastic Residuals. Structural Equation Modeling, 24(2), 301-313. DOI: 10.1080/10705511.2016.1250636 [details]

2016

  • Bolsinova, M., Tijmstra, J., & Molenaar, D. (2016). Response moderation models for conditional dependence between response time and response accuracy. British Journal of Mathematical & Statistical Psychology. DOI: 10.1111/bmsp.12076 [details]
  • Molenaar, D. (2016). On the Distortion of Model fit in Comparing the Bifactor Model and the Higher-Order Factor Model. Intelligence, 57, 60-63. [details]
  • Molenaar, D., Middeldorp, C. M., Willemsen, G., Ligthart, L., Nivard, M. G., & Boomsma, D. I. (2016). Evidence for Gender-Dependent Genotype by Environment Interaction in Adult Depression. Behavior genetics, 46(1), 59-71. DOI: 10.1007/s10519-015-9752-4 [details] [PDF]
  • Molenaar, D., Oberski, D., Vermunt, J. K., & de Boeck, P. A. L. (2016). Hidden Markov IRT Models for Responses and Response Times. Multivariate Behavioral Research, 51, 606-626. [details]
  • Molenaar, D., Bolsinova, M., Rozsa, S., & De Boeck, P. (2016). Response Mixture Modeling of Intraindividual Differences in Responses and Response Times to the Hungarian WISC-IV Block Design Test. Journal of Intelligence, 4(3), [10]. DOI: 10.3390/jintelligence4030010 [details] [PDF]
  • Booth, T., Murray, A., & Molenaar, D. (2016). Personality differentiation by cognitive ability: An application of the moderated factor model. Personality and Individual Differences, 100, 73-78. [details]
  • Murray, A. L., Booth, T., & Molenaar, D. (2016). When middle really means 'top' or 'bottom': An analysis the 16PF5 using Bock’s nominal response model. Journal of Personality Assessment, 98(3), 319-331. DOI: 10.1080/00223891.2015.1095197 [details]
  • Murray, A. L., Molenaar, D., Johnson, W., & Krueger, R. F. (2016). 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. Behavior genetics, 46(4), 552-572. DOI: 10.1007/s10519-016-9783-5 [details]
  • Tuerlinckx, F., Molenaar, D., & van der Maas, H. L. J. (2016). Diffusion-based item response modeling. In W. J. van der Linden, & R. K. Hambleton (Eds.), Handbook of Modern Item Response Theory (pp. 283-302). Chapman and Hall/CRC Press. [details]
  • de Korte, J., Dolan, C. V., Lubke, G. H., & Molenaar, D. (2016). Studying the strength of prediction using indirect mixture modeling: non-linear latent regression with heteroscedastic residuals. Structural Equation Modeling, 303-313. [details]

2015

  • Borsboom, D., & Molenaar, D. (2015). Psychometrics. In J. D. Wright (Ed.), International encyclopedia of the social & behavioral sciences. - 2nd ed. (pp. 418-422). Amsterdam: Elsevier. DOI: 10.1016/B978-0-08-097086-8.43079-5 [details]
  • Molenaar, D. (2015). Heteroscedastic latent trait models for dichotomous data. Psychometrika, 80(3), 625-644. DOI: 10.1007/s11336-014-9406-0 [details]
  • Molenaar, D. (2015). Intelligence tests. In The Blackwell Encyclopedia of Race, Ethnicity and Nationalism.. Wiley-Blackwell. [details]
  • Molenaar, D. (2015). The value of response times in item response modeling. Measurement, 13(3-4), 177-181. DOI: 10.1080/15366367.2015.1105073 [details]
  • Molenaar, D., Middeldorp, C., van Beijsterveldt, T., & Boomsma, D. I. (2015). Analysis of behavioral and emotional problems in children highlights the role of genotype × environment interaction. Child Development, 86(6), 1999-2016. DOI: 10.1111/cdev.12451 [details]
  • Molenaar, D., Tuerlinckx, F., & van der Maas, H. L. J. (2015). A bivariate generalized linear item response theory modeling framework to the analysis of responses and response times. Multivariate Behavioral Research, 50(1), 56-74. DOI: 10.1080/00273171.2014.962684 [details]
  • Molenaar, D., Tuerlinckx, F., & van der Maas, H. L. J. (2015). A generalized linear factor model approach to the hierarchical framework for responses and response times. British Journal of Mathematical & Statistical Psychology, 68(2), 197-219. DOI: 10.1111/bmsp.12042 [details]
  • Molenaar, D., Tuerlinckx, F., & van der Maas, H. L. J. (2015). Fitting diffusion item response theory models for responses and response times using the R package diffIRT. Journal of Statistical Software, 66(4). DOI: 10.18637/jss.v066.i04 [details] [PDF]

2014

  • Molenaar, D., & Dolan, C. V. (2014). Testing systematic genotype by environment interactions using item level data. Behavior genetics, 44(3), 212-231. DOI: 10.1007/s10519-014-9647-9 [details]
  • Topper, M., Molenaar, D., Emmelkamp, P., & Ehring, T. (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 [details]

2013

  • Molenaar, D., & Borsboom, D. (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 [details]
  • Molenaar, D., van der Sluis, S., Boomsma, D. I., Haworth, C. M. A., Hewitt, J. K., Martin, N. G., ... Dolan, C. V. (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 [details]

2012

  • Molenaar, D., & Dolan, C. V. (2012). Substantively motivated extensions of the traditional latent trait model. Netherlands Journal of Psychology, 67(3), 48-57. [details]
  • Molenaar, D., Dolan, C. V., & de Boeck, P. (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 [details]
  • Molenaar, D., van der Sluis, S., Boomsma, D. I., & Dolan, C. V. (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 [details]

2011

  • Molenaar, D., Dolan, C. V., & van der Maas, H. L. J. (2011). Modeling ability differentiation in the second-order factor model. Structural Equation Modeling, 18(4), 578-594. DOI: 10.1080/10705511.2011.607095 [details]
  • Wicherts, J. M., Bakker, M., & Molenaar, D. (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 [details] [PDF]
  • van der Maas, H. L. J., Molenaar, D., Maris, G., Kievit, R. A., & Borsboom, D. (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 [details]

2010

  • Matzke, D., Dolan, C. V., & Molenaar, D. (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 [details]
  • Molenaar, D., Dolan, C. V., & Verhelst, N. D. (2010). Testing and modeling non-normality within the one-factor model. British Journal of Mathematical & Statistical Psychology, 63(2), 293-317. DOI: 10.1348/000711009X456935 [details]
  • Molenaar, D., Dolan, C. V., Wicherts, J. M., & van der Maas, H. L. J. (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 [details]
  • Visch, V. T., Tan, E. S., & Molenaar, D. (2010). The emotional and cognitive effect of immersion in film viewing. Cognition & Emotion, 24(8), 1439-1445. DOI: 10.1080/02699930903498186 [details]

2009

  • Molenaar, D., Dolan, C. V., & Wicherts, J. M. (2009). The power to detect sex differences in IQ test scores using multi-group covariance and means structure analyses. Intelligence, 37(4), 396-404. DOI: 10.1016/j.intell.2009.03.007 [details]

2016

  • Molenaar, D., & Dolan, C. V. (2016). Non-Normality in Latent Trait Modeling. In Wiley Blackwell Handbook of Psychometric Testing. Wiley-Blackwell. [details]

2012

  • Molenaar, D. (2012). Testing distributional assumptions in psychometric measurement models with substantive applications in psychology [details / files]

Prijs

  • Molenaar, D. (2015): VENI grant: Psychologische meetprocedures voor responsen en responsetijden..
  • Molenaar, D. (2013): Dissertation Award.
  • Molenaar, Dylan (2007): John B. Caroll price for best research methodology.
  • Molenaar, Dylan (2007): NWO Talent Grant: Statistical Modeling of Cognitive Ability Differentiation.
  • Wicherts, J.M., Borsboom, D., Kats, J. & Molenaar, Dylan (2007): IOPS best paper award.

Wetenschappelijke positie

  • Molenaar, D. (member) (2010): Psychometrics Society, Athens, USA (External organisation).

Andere

  • Molenaar, Dylan (organiser) (2016): The VII European Congress of Methodology (organising a conference, workshop, ...).
  • Molenaar, D. (organiser) (14-7-2015): The 80th annual meeting of the Psychometrics Society, Beijing (organising a conference, workshop, ...).
  • Molenaar, D. (organiser) (2013): the 78th annual meeting of the Psychometrics Society, Arnhem, The Netherlands, July. (organising a conference, workshop, ...).
  • Molenaar, D. (organiser) (2011): the 76th annual meeting of the Psychometrics Society, Hong Kong, China (organising a conference, workshop, ...).

Spreker

  • Molenaar, Dylan (invited speaker) (26-1-2016): Analysis of Behavioral and Emotional Problems in Children Highlights the Role of Genotype x Environment Interaction., VU University.
  • Molenaar, D. (invited speaker) & Rhemtulla, M. (invited speaker) (13-3-2015): A procedure to test for gene-by-latent environment interactions with multiple indicators., International Convention of Psychological Science., Amsterdam.
  • Molenaar, D. (invited speaker), Oberski, D. (invited speaker), Vermunt, J. (invited speaker) & de Boeck, P. (invited speaker) (14-7-2015): Response mixture modeling of responses and response times., The 80th annual meeting of the Psychometrics Society., Beijing.
  • Molenaar, D. (invited speaker), Oberski, D. (invited speaker), Vermunt, J. (invited speaker) & de Boeck, P. (invited speaker) (6-10-2015): A Latent Markov IRT Modeling Approach to the Analysis of Responses and Response Times., The 6th RCEC workshop on IRT., Enschede.
  • Molenaar, Dylan (invited speaker) (13-1-2014): The Heteroscedastic Latent Trait Model: Motivation, Development, and Applications., University of Notre Dame.
  • Molenaar, Dylan (invited speaker) (17-11-2014): Modeling within-subjects differences in responses and response times, Psychologische Methodenleer.
  • Molenaar, Dylan (invited speaker) (27-1-2014): The Heteroscedastic Latent Trait Model: Motivation, Development, and Applications., The Ohio State University.
  • Molenaar, Dylan (keynote speaker) (25-7-2013): Testing distributional assumptions in psychometric measurement model with substantive applications in psychology, International Meeting of the Psychometric Society, Arnhem, Netherlands.
  • Molenaar, Dylan (keynote speaker) (18-12-2012): Bring more Psychology into Psychometrics: Psychometric process models for the measurement of psychological attributes., Meeting of the Interuniversity Graduate School of Psychometrics and Sociometrics, Enschede, Netherlands.

Tijdschriftredactie

  • Molenaar, Dylan (reviewer) (2016-): Frontiers in Quantitative Psychology and Measurement (Journal).
  • Molenaar, D. (editor) (2015): Intelligence (Journal).
This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications.

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