Dr. D. (Dylan) Molenaar
Faculty of Social and Behavioural Sciences
Programme group Psychological Methods
Visiting address
- Nieuwe Achtergracht 129
- Room number: 0.34
Postal address
- Postbus 15906
1001 NK Amsterdam
Contact details
-
Profile
www.dylanmolenaar.nl
About...
Dylan Molenaar is an assistant professor at the University of Amsterdam, The Netherlands. He is the recipient of the 2013 best dissertation award and the 2019 early career award by the Psychometric Society. In addition, he received the personal and prestigious 2007 talent grant and the 2015 Veni grant by the Netherlands Organization of Scientific Research (NWO). He is a member of the editorial board of the journal “Intelligence”, the “Psychological and Educational Measurement” section of the open access journal “Pysch”, and the proceedings of the Psychometric Society. He has published on various topics related to psychometrics, including: measurement invariance, factor analysis, item response theory, and latent class modeling. This research has resulted in over 40 international peer reviewed journal articles in psychometrics and statistics journals like ‘Psychometrika’, ‘Structural Equation Modeling’, ‘Multivariate Behavior Research’, and ‘British Journal of Mathematical and Statistical Psychology’Education
- 2012: PhD Psychology ( cum laude ), University of Amsterdam
- 2007: MSc Psychology ( cum laude ), University of Amsterdam
Selected Publications
For a full list, please see my website (link below)
- Molenaar, D., Rósza, S., & Bolsinova, M. (2019). A Heteroscedastic Hidden Markov Mixture Model for Responses and Categorized Response Times. Behavior Research Methods, 51, 676-696
- Molenaar, D., Oberski, D., Vermunt, J.K., De Boeck, P. (2016). Hidden Markov IRT Models for Responses and Response Times. Multivariate Behavioral Research, 51, 606-626.
- Molenaar, D. (2015). Heteroscedastic Latent Trait Models for Dichotomous Data. Psychometrika, 80, 625-644.
- 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, 56-74.
- 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, 611-624.
Website
For papers and computer code, please see my website
Courses
- Research Methods and Statistics (first year undergraduate level)
- Psychological Testing (second year undergraduate level)
- Latent Variable Models (third year undergraduate level)
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Publications
- refereed (57)
- academic (2)
- conference contributions (1)
- recognitions (26)
- doctoral thesis (1)
- working papers / preprints (1)
- datasets (3)
2022
Kolbe, L., Molenaar, D., Jak, S., & Jorgensen, T. D. (Accepted/In press). Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx. Psychological Methods. https://doi.org/10.1037/met0000501- Pronk, T., Molenaar, D., Wiers, R. W., & Murre, J. (2022). Methods to split cognitive task data for estimating split-half reliability: A comprehensive review and systematic assessment. Psychonomic Bulletin & Review, 29(1), 44-54. https://doi.org/10.3758/s13423-021-01948-3 [details]
2021
- Jovanović, V., Molenaar, D., Gavrilov-Jerković, V., & Lazić, M. (2021). Positive Expectancies and Subjective Well‑Being: A Prospective Study Among Undergraduates in Serbia. Journal of Happiness Studies, 22(3), 1239–1258. https://doi.org/10.1007/s10902-020-00271-3 [details]
- Kolbe, L., Jorgensen, T. D., & Molenaar, D. (2021). The Impact of Unmodeled Heteroskedasticity on Assessing Measurement Invariance in Single-group Models. Structural Equation Modeling, 28(1), 82-98. https://doi.org/10.1080/10705511.2020.1766357 [details]
- Kuijpers, R. E., Visser, I., & Molenaar, D. (2021). Testing the Within-State Distribution in Mixture Models for Responses and Response Times. Journal of Educational and Behavioral Statistics, 46(3), 348-373 . https://doi.org/10.3102/1076998620957240 [details]
- Molenaar, D., Rózsa, S., & Kõ, N. (2021). Modeling Asymmetry in the Time-Distance Relation of Ordinal Personality Items. Applied Psychological Measurement, 45(3), 178-194. https://doi.org/10.1177/0146621621990756 [details]
- Molenaar, D., Uluman, M., Tavşancıl, E., & De Boeck, P. (2021). The Hierarchical Rater Thresholds Model for Multiple Raters and Multiple Items. Open Education Studies, 3(1), 33-48. https://doi.org/10.1515/edu-2020-0105 [details]
- Wiberg, M., Molenaar, D., González, J., Böckenholt, U., & Kim, J-S. (Eds.) (2021). Quantitative Psychology: The 85th Annual Meeting of the Psychometric Society, Virtual. (Springer Proceedings in Mathematics & Statistics; Vol. 353). Springer. https://doi.org/10.1007/978-3-030-74772-5 [details]
2020
- Jovanović, V., Lazić, M., Gavrilov-Jerković, V., & Molenaar, D. (2020). The Scale of Positive and Negative Experience (SPANE): Evaluation of Measurement Invariance and Convergent and Discriminant Validity. European Journal of Psychological Assessment, 36(4), 694-704. https://doi.org/10.1027/1015-5759/a000540 [details]
- Molenaar, D. (2020). [Review of: W.J. van der Linden (2016) Handbook of Item Response Theory, Volume Two: Statistical Tools]. Journal of Educational and Behavioral Statistics, 45(4), 507-511. https://doi.org/10.3102/1076998620911932 [details]
- Tamimy, Z., Rózsa, S., Kõ, N., & Molenaar, D. (2020). A Practical Cross-Sectional Framework to Contextual Reactivity in Personality: Response Times as Indicators of Reactivity to Contextual Cues. Psych, 2(4), 253-268. https://doi.org/10.3390/psych2040019 [details]
- Wiberg, M., Molenaar, D., Gonzáles, J., Böckenholt, U., & Kim, J-S. (Eds.) (2020). Quantitative Psychology: 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019. (Springer Proceedings in Mathematics & Statistics; Vol. 322). Springer. https://doi.org/10.1007/978-3-030-43469-4 [details]
2019
- Bolsinova, M., & Molenaar, D. (2019). Nonlinear Indicator-Level Moderation in Latent Variable Models. Multivariate Behavioral Research, 54(1), 62-84. https://doi.org/10.1080/00273171.2018.1486174 [details]
- Kovacs, K., Molenaar, D., & Conway, A. R. A. (2019). The domain specificity of working memory is a matter of ability. Journal of Memory and Language, 109, [104048]. https://doi.org/10.1016/j.jml.2019.104048 [details]
- Molenaar, D., Rózsa, S., & Bolsinova, M. (2019). A Heteroscedastic Hidden Markov Mixture Model for Responses and Categorized Response Times. Behavior Research Methods, 51(2), 676-696. https://doi.org/10.3758/s13428-019-01229-x [details]
- Wiberg, M., Culpepper, S., Janssen, R., González, J., & Molenaar, D. (Eds.) (2019). Quantitative Psychology: 83rd Annual Meeting of the Psychometric Society, New York, NY 2018. (Springer Proceedings in Mathematics & Statistics; Vol. 265). Cham: Springer. https://doi.org/10.1007/978-3-030-01310-3 [details]
2018
- Bolsinova, M., & Molenaar, D. (2018). Modeling nonlinear conditional dependence between response time and accuracy. Frontiers in Psychology, 9(1525), [1525]. https://doi.org/10.3389/fpsyg.2018.01525 [details]
- Molenaar, D., & de Boeck, P. (2018). Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times. Psychometrika, 83(2), 279-297. https://doi.org/10.1007/s11336-017-9602-9 [details]
- Molenaar, D., Bolsinova, M., & Vermunt, J. K. (2018). A semi‐parametric within‐subject mixture approach to the analyses of responses and response times. British Journal of Mathematical & Statistical Psychology, 71(2), 205-228. https://doi.org/10.1111/bmsp.12117 [details]
2017
- Bolsinova, M., Tijmstra, J., & Molenaar, D. (2017). Response moderation models for conditional dependence between response time and response accuracy. British Journal of Mathematical & Statistical Psychology, 70(2), 257-279. https://doi.org/10.1111/bmsp.12076 [details]
- Bolsinova, M., Tijmstra, J., Molenaar, D., & De Boeck, P. (2017). Conditional dependence between response time and accuracy: An overview of its possible sources and directions for distinguishing between them. Frontiers in Psychology, 8, [202]. https://doi.org/10.3389/fpsyg.2017.00202 [details]
- Molenaar, D., & Bolsinova, M. (2017). A heteroscedastic generalized linear model with a non-normal speed factor for responses and response times. British Journal of Mathematical & Statistical Psychology, 70(2), 297-316. https://doi.org/10.1111/bmsp.12087 [details]
- Molenaar, D., & Visser, I. (2017). Cognitive and psychometric modelling of responses and response times. British Journal of Mathematical & Statistical Psychology, 70(2), 185-186. https://doi.org/10.1111/bmsp.12102 [details]
- Molenaar, D., Kõ, N., Rózsa, S., & Mészáros, A. (2017). Differentiation of cognitive abilities in the WAIS-IV at the item level. Intelligence, 65, 48-59. https://doi.org/10.1016/j.intell.2017.10.004 [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. https://doi.org/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. https://doi.org/10.1080/10705511.2016.1250636 [details]
2016
- Molenaar, D. (2016). Intelligence tests. In J. Stone, R. M. Dennis, P. S. Rizova, A. D. Smith, & X. Hou (Eds.), The Wiley Blackwell encyclopedia of race, ethnicity and nationalism (Vol. 3). (Wiley Blackwell encyclopedias in social sciences). Chichester: Wiley Blackwell. https://doi.org/10.1002/9781118663202.wberen544 [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. https://doi.org/10.1016/j.intell.2016.03.007 [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]. https://doi.org/10.3390/jintelligence4030010 [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. https://doi.org/10.1007/s10519-015-9752-4 [details]
- Molenaar, D., Oberski, D., Vermunt, J., & de Boeck, P. (2016). Hidden Markov Item Response Theory Models for Responses and Response Times. Multivariate Behavioral Research, 51(5), 606-626. https://doi.org/10.1080/00273171.2016.1192983 [details]
- Murray, A. L., Booth, T., & Molenaar, D. (2016). Personality differentiation by cognitive ability: An application of the moderated factor model. Personality and Individual Differences, 100, 73-78. https://doi.org/10.1016/j.paid.2016.03.094 [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. https://doi.org/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. https://doi.org/10.1007/s10519-016-9783-5 [details]
- Tuerlinckx, F., Molenaar, D., & van der Maas, H. L. J. (2016). Diffusion-based response-time models. In W. J. van der Linden (Ed.), Handbook of Item Response Theory. - Volume 1: Models (pp. 283-300). (Statistics in the Social and Behavioral Sciences). CRC Press. https://doi.org/10.1201/9781315374512 [details]
2015
- Borsboom, D., & Molenaar, D. (2015). Psychometrics. In J. D. Wright (Ed.), International encyclopedia of the social & behavioral sciences (2 ed., Vol. 19, pp. 418-422). Amsterdam: Elsevier. https://doi.org/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. https://doi.org/10.1007/s11336-014-9406-0 [details]
- Molenaar, D. (2015). The value of response times in item response modeling. Measurement, 13(3-4), 177-181. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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). https://doi.org/10.18637/jss.v066.i04 [details]
2014
- Molenaar, D., & Dolan, C. V. (2014). Testing systematic genotype by environment interactions using item level data. Behavior genetics, 44(3), 212-231. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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]. https://doi.org/10.1371/journal.pone.0026828 [details]
- 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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/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. https://doi.org/10.1016/j.intell.2009.03.007 [details]
2018
- Molenaar, D., & Dolan, C. V. (2018). Nonnormality in Latent Trait Modeling. In P. Irwing, T. Booth, & D. J. Hughes (Eds.), The Wiley Handbook of Psychometric Testing: A Multidisciplinary Reference on Survey, Scale and Test Development (Vol. 1, pp. 347-373). Wiley Blackwell. https://doi.org/10.1002/9781118489772.ch13 [details]
- Wiberg, M., Culpepper, S., Janssen, R., González, J., & Molenaar, D. (Eds.) (2018). Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017. (Springer Proceedings in Mathematics & Statistics; Vol. 233). Cham: Springer. https://doi.org/10.1007/978-3-319-77249-3 [details]
2020
- Kolbe, L., Jorgensen, T. D., & Molenaar, D. (2020). The impact of unmodeled heteroskedasticity on assessing measurement invariance. Poster session presented at The 9th European Congress of Methodology [online], Valencia, Spain. https://adeit-estaticos.econgres.es/20_EAM/Posters/47286_LauraKolbe.pdf
Award
- Molenaar, D. (2019). Early career award.
- Molenaar, D. (2015). VENI grant: Psychologische meetprocedures voor responsen en responsetijden..
- Molenaar, D. (2013). Dissertation Award.
- Molenaar, D. (2007). John B. Caroll price for best research methodology.
- Molenaar, D. (2007). NWO Talent Grant: Statistical Modeling of Cognitive Ability Differentiation.
- Wicherts, J. M., Borsboom, D. & Molenaar, D. (2007). IOPS best paper award.
Membership
- Molenaar, D. (2010). Organisation of the symposium Population Heterogeneity in SEM and IRT for the 75th annual meeting of the Psychometrics Society, Athens, USA, July, Psychometrics Society, Athens, USA.
Journal editor
- Molenaar, D. (member of editorial board) (2020-2030). Psych (Journal).
- Molenaar, D. (reviewer) (2016-2019). Frontiers in Psychology (Journal).
- Molenaar, D. (editor) (2015). Intelligence (Journal).
- Molenaar, D. (member of editorial board) (2015-2030). Intelligence (Journal).
Talk / presentation
- Molenaar, D. (speaker) (25-7-2017). Workshop: Psychometric Modeling of Responses and Response Time Data, Deutschen Institut für Internationale Pädagogische Forschung (DIPF).
- Molenaar, D. (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), 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, 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) & 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) (17-11-2014). Modeling within-subjects differences in responses and response times.
- Molenaar, D. (invited speaker) (27-1-2014). The Heteroscedastic Latent Trait Model: Motivation, Development, and Applications., The Ohio State University.
- Molenaar, D. (invited speaker) (13-1-2014). The Heteroscedastic Latent Trait Model: Motivation, Development, and Applications., University of Notre Dame.
- Molenaar, D. (keynote speaker) (25-7-2013). Testing distributional assumptions in psychometric measurement model with substantive applications in psychology, International Meeting of the Psychometric Society, Arnhem.
- Molenaar, D. (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.
Others
- Molenaar, D. (participant) (3-2017 - 4-2017). Workshop: A basic introductio to Mplus (organising a conference, workshop, ...).
- Molenaar, D. (organiser) (2016). The VII European Congress of Methodology, Palma de Mallorca. Organization of the symposium Methodological advances in the
psychometric analysis of responses and response times.
(organising a conference, workshop, ...). - Molenaar, D. (organiser) (14-7-2015). The 80th annual meeting of the Psychometrics Society, Beijing. Symposium Modeling responses and response times to psychological tests (organising a conference, workshop, ...).
- Molenaar, D. (organiser) (2013). the 78th annual meeting of the Psychometrics Society, Arnhem, The Netherlands, July.. Organization of the symposium Psychometric modeling of responses and response times (organising a conference, workshop, ...).
- Molenaar, D. (organiser) (2011). the 76th annual meeting of the Psychometrics Society, Hong Kong, China. Organization of the symposium Heterogeneity in Latent Variable Models (organising a conference, workshop, ...).
2018
- Kruis, J., Molenaar, D., Marsman, M., Maris, G., & van der Maas, H. (2018). The Pairwise Exchange Tournament. University of Amsterdam. https://doi.org/10.13140/RG.2.2.26027.54569 [details]
2021
- Molenaar, D., K?, N. & R?zsa, S. (1-1-2021). sj-docx-1-apm-10.1177_0146621621990756 – Supplemental material for Modeling Asymmetry in the Time–Distance Relation of Ordinal Personality Items. figshare SAGE Publications. https://doi.org/10.25384/sage.13724738.v1
- R?zsa, S., K?, N. & Molenaar, D. (1-1-2021). Modeling Asymmetry in the Time–Distance Relation of Ordinal Personality Items. figshare SAGE Publications. https://doi.org/10.25384/sage.c.5294885.v1
2018
- Bolsinova, M. & Molenaar, D. (1-1-2018). Nonlinear Indicator-Level Moderation in Latent Variable Models. figshare Academic Research System. https://doi.org/10.6084/m9.figshare.7418426.v1
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Ancillary activities
- No ancillary activities
Kolbe, L., Molenaar, D., Jak, S., & Jorgensen, T. D. (Accepted/In press). Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx. Psychological Methods.