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Dr. T.D. (Terrence) Jorgensen PhD

Universitair docent
Faculteit der Maatschappij- en Gedragswetenschappen
Programme group: Methods and statistics
Fotograaf: Ron Koffeman

Bezoekadres
  • Nieuwe Achtergracht 127
Postadres
  • Postbus 15776
    1001 NG Amsterdam
Contactgegevens
  • Profile

    I am an assistant professor of methods and statistics within the Department of Child Development and Education at the University of Amsterdam.  My areas of expertise areas of expertise span structural equation modeling (SEM), multilevel modeling (MLM), social-relations modeling (SRM), and their intersections (i.e., ML-SEM and the SR-SEM), as well as nonparametric methods, Bayesian inference, and modern missing data methods. My methodological research interests involve statistical programming for psychometric methods.

    My current research is funded by the NWO's Veni and Open Competition (XS) grants, the goal of which is to integrate the social relations model (SRM) with SEM.  I am using Bayesian methods to model "round-robin" (or "social network") data from the perspective of generalized latent-variable modeling, enabling many advantages of SEM to be applied to models for network data:

    • simultaneously estimate a causal process (i.e., "mediation models")
    • account for measurement error by using multiple indicators
    • handle missing data using all available information (similar to FIML) or data augmentation (similar to multiple imputation)

    My Veni project will involve developing a new R package for the integrated SR-SEM using a lavaan interface.  I am also a coauthor of the R package lavaan and develop key software in the "lavaan ecosystem" (e.g., as primary developer of the R package semTools, maintainer of the R package simsem, and contributor to the R package blavaan), all of which are devoted to SEM in R. 

    Expertise and Research Fields

    • Latent variable models
    • Psychometrics
    • Statistical programming
  • Research

    Expertise and Research Fields

    • Latent variable models
    • Psychometrics
    • Statistical programming

    Research Methods

    • Monte Carlo simulation
    • Robust and nonparametric (e.g., resampling) methods
    • Bayesian estimation and inference
    • Modern and planned missing-data methods

    Current Research Projects 

    • Evolving models for dyadic network data to represent and test complex theories: a Veni grant to integrate social relations (SRM) and structural equation (SEM) models. This has been extended with a follow-up grant: Developing and validating a generalized structural equation model for social network data (an NWO Open Competition (XS) Grant).
    • Reorienting methods that utilise the latent-response interpretation for categorical outcome variables: Viewing thresholds as a measurement model
    • Developing a single gold-standard method to quantify all types of reliability, for all scales of measurement, on the same metric

    Research Grants & Honours

    • NWO grant 016.Veni.195.457
    • NWO grant 406.XS.01.078
    • UvA’s Grassroots programme
    • Kohnstamm Foundation’s Fund for Educational Research
  • Teaching & PhD Supervision

    Courses Taught

    For the Research Master I teach 2 courses: Methods and Statistics in Education Research and Structural equation modelling in educational research
    For the Youth at Risk Master, I teach 1 course: Masterclass in  Methods and Statistics

    PhD Supervision

    1. A comprehensive framework for estimating and interpreting interrater reliability of (inter)dependent data | PhD candidate: Debby ten Hove, MSc
    2. Non-standard applications of structural equation modelling in child development and education research | PhD candidate: Laura Kolbe, MSc
  • Publicaties

    2024

    • Bhangale, A. M., & Jorgensen, T. D. (in press). Comparing maximum likelihood to Markov chain Monte Carlo estimation of the multivariate social relations model. In M. Wiberg, J-S. Kim, H. Hwang, & T. Sweet (Eds.), Quantitative psychology: The 88th annual meeting of the Psychometric Society, College Park, MD, 2023 (Springer Proceedings in Mathematics & Statistics).
    • Glas, C. A. W., Jorgensen, T. D., & ten Hove, D. (2024). Reducing Attenuation Bias in Regression Analyses Involving Rating Scale Data via Psychometric Modeling. Psychometrika. Advance online publication. https://doi.org/10.1007/s11336-024-09967-4
    • Jorgensen, T. D., Bhangale, A. M., & Rosseel, Y. (2024). Two-stage limited-information estimation for structural equation models of round-robin variables. Stats, 7(1), 235-268. https://doi.org/10.3390/stats7010015
    • Kolbe, L., Molenaar, D., Jak, S., & Jorgensen, T. D. (2024). Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx. Psychological Methods, 29(2), 388–406. https://doi.org/10.1037/met0000501

    2023

    2022

    2021

    2020

    2019

    • Jorgensen, T. D., Garnier-Villarreal, M., Pornprasertmanit, S., & Lee, J. (2019). Small-variance priors can prevent detecting important misspecifications in Bayesian confirmatory factor analysis. In M. Wiberg, S. Culpepper, R. Janssen, J. González, & D. Molenaar (Eds.), Quantitative Psychology: 83rd Annual Meeting of the Psychometric Society, New York, NY 2018 (pp. 255-263). (Springer Proceedings in Mathematics & Statistics; Vol. 265). Springer. https://doi.org/10.1007/978-3-030-01310-3_23 [details]
    • Kolbe, L., & Jorgensen, T. D. (2019). Using restricted factor analysis to select anchor items and detect differential item functioning. Behavior Research Methods, 51(1), 138-151. Advance online publication. https://doi.org/10.3758/s13428-018-1151-3 [details]
    • Roorda, D. L., Jorgensen, T. D., & Koomen, H. M. Y. (2019). Different teachers, different relationships? Student-teacher relationships and engagement in secondary education. Learning and Individual Differences, 75, Article 101761. Advance online publication. https://doi.org/10.1016/j.lindif.2019.101761 [details]

    2018

    • Bos, H., van Rijn-van Gelderen, L., Vecho, O., Rubio, B., Gross, M., Jorgensen, T., Ellis-Davies, K., Winstanley, A., Golombok, S., & Lamb, M. (2018). Welbevinden van homoseksuele vaders met een kind via draagmoederschap. Pedagogiek, 38(2), 127-144. https://doi.org/10.5117/PED2018.2.002.BOS [details]
    • Hunt, J. C., Chesney, S. A., Jorgensen, T. D., Schumann, N. R., & deRoon-Cassini, T. A. (2018). Exploring the Gold-Standard: Evidence for a Two-Factor Model of the Clinician Administered PTSD Scale for the DSM–5. Psychological Trauma, 10(5), 551-558. Advance online publication. https://doi.org/10.1037/tra0000310 [details]
    • Jorgensen, T. D., Forney, K. J., Hall, J. A., & Giles, S. M. (2018). Using modern methods for missing data analysis with the social relations model: A bridge to social network analysis. Social Networks, 54, 26-40. Advance online publication. https://doi.org/10.1016/j.socnet.2017.11.002 [details]
    • Jorgensen, T. D., Kite, B. A., Chen, P-Y., & Short, S. D. (2018). Permutation Randomization Methods for Testing Measurement Equivalence and Detecting Differential Item Functioning in Multiple-Group Confirmatory Factor Analysis. Psychological Methods, 23(4), 708-728. https://doi.org/10.1037/met0000152 [details]
    • Kite, B. A., Jorgensen, T. D., & Chen, P-Y. (2018). Random Permutation Testing Applied to Measurement Invariance Testing with Ordered-Categorical Indicators. Structural Equation Modeling, 25(4), 573-587. Advance online publication. https://doi.org/10.1080/10705511.2017.1421467 [details]
    • Kite, B. A., Jorgensen, T. D., & Chen, P-Y. (2018). Random permutation tests of nonuniform differential item functioning in multigroup item factor analysis. In M. Wiberg, S. Culpepper, R. Janssen, J. González, & D. Molenaar (Eds.), Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017 (pp. 287-296). (Springer Proceedings in Mathematics & Statistics; Vol. 233). Springer. https://doi.org/10.1007/978-3-319-77249-3_24 [details]
    • Kolbe, L., & Jorgensen, T. D. (2018). Using product indicators in restricted factor analysis models to detect nonuniform measurement bias. In M. Wiberg, S. Culpepper, R. Janssen, J. González, & D. Molenaar (Eds.), Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017 (pp. 235-245). (Springer Proceedings in Mathematics & Statistics; Vol. 233). Springer. https://doi.org/10.1007/978-3-319-77249-3_20 [details]
    • ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2018). On the usefulness of interrater reliability coefficients. In M. Wiberg, S. Culpepper, R. Janssen, J. González, & D. Molenaar (Eds.), Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017 (pp. 67-75). (Springer Proceedings in Mathematics & Statistics; Vol. 233). Springer. https://doi.org/10.1007/978-3-319-77249-3_6 [details]
    • van Rijn-van Gelderen, L., Bos, H. M. W., Jorgensen, T. D., Ellis-Davies, K., Winstanley, C. A., Golombok, S., Rubio, B., Gross, M., Vecho, O., & Lamb, M. E. (2018). Wellbeing of gay fathers with children born through surrogacy: A comparison with lesbian-mother families and heterosexual IVF parent families. Human Reproduction, 33(1), 101-108. https://doi.org/10.1093/humrep/dex339 [details]

    2017

    2015

    • Chun, D. S., Shaver, P. R., Gillath, O., Mathews, A., & Jorgensen, T. D. (2015). Testing a dual-process model of avoidant defenses. Journal of Research in Personality, 55, 75-83. Advance online publication. https://doi.org/10.1016/j.jrp.2015.02.002
    • Geboers, E., Geijsel, F., Admiraal, W., Jorgensen, T., & ten Dam, G. (2015). Citizenship development of adolescents during the lower grades of secondary education. Journal of Adolescence, 45, 89-97. https://doi.org/10.1016/j.adolescence.2015.08.017 [details]
    • Odar Stough, C., Dreyer Gillette, M. L., Roberts, M. C., Jorgensen, T. D., & Patton, S. R. (2015). Mealtime behaviors associated with consumption of unfamiliar foods by young children with autism spectrum disorder. Appetite, 95, 324-333. https://doi.org/10.1016/j.appet.2015.07.019

    2014

    • Jorgensen, T. D., Rhemtulla, M., Schoemann, A., McPherson, B., Wu, W., & Little, T. D. (2014). Optimal assignment methods in three-form planned missing data designs for longitudinal panel studies. International Journal of Behavioral Development, 38(5), 397-410. Advance online publication. https://doi.org/10.1177/0165025414531094 [details]
    • Little, T. D., Jorgensen, T. D., Lang, K. M., & Moore, E. W. G. (2014). On the joys of missing data. Journal of Pediatric Psychology, 39(2), 151-162. Advance online publication. https://doi.org/10.1093/jpepsy/jst048

    2013

    • Jorgensen, T. D., & Marek, P. (2013). Workshops increase students’ ability proficiency at identifying general and APA-style writing errors. Teaching of Psychology, 40(4), 294-299. Advance online publication. https://doi.org/10.1177/0098628313501037

    2011

    2020

    • Van Rijn-Van Gelderen, L., Ellis-Davies, K., Huijzer-Engbrenghof, M., Jorgensen, T. D., Gross, M., Winstanley, A., Rubio, B., Vecho, O., Lamb, M. E., & Bos, H. M. W. (2020). Corrigendum: Determinants of Non-paid Task Division in Gay-, Lesbian-, and Heterosexual-Parent Families With Infants Conceived Using Artificial Reproductive Techniques. Frontiers in Psychology, 11, Article 1544. https://doi.org/10.3389/fpsyg.2020.01544

    2018

    • van der Ark, L. A., van Leeuwen, J. L., & Jorgensen, T. D. (2018). Interbeoordelaarsbetrouwbaarheid LIJ: Onderzoek naar de interbeoordelaarsbetrouwbaarheidheid van het Landelijk Instrument Jeugdstrafrechtketen. Universiteit van Amsterdam. http://hdl.handle.net/20.500.12832/2267 [details]

    2021

    • Forney, K. J., Jorgensen, T. D., Horvath, S. A., & McCray, J. (2021). Friendships in a partial hospitalization program for eating disorders: Preliminary results from a pilot study. Paper presented at International Conference on Eating Disorders.

    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
    • ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2020). Interrater reliability: Updating guidelines on selecting an ICC.. Paper presented at IMPS 2020 Virtual Conference.

    2019

    • Fischer, K., van den Akker, A. L., Larsen, H., Jorgensen, T. D., & Overbeek, G. J. (2019). Dopamine functioning and child externalizing behavior: A longitudinal analysis of polygenic susceptibility to parenting. 14. Poster session presented at
      19th Biennial ISRCAP Scientific Meeting , Los Angeles, California, United States.
    • Hensums, M., Overbeek, G. J., & Jorgensen, T. D. (2019). Not One Sexual Double Standard but Two? Adolescents’ Attitudes About Appropriate Sexual Behavior. Paper presented at SRCD Biennial Meeting, Baltimore, United States.

    2018

    • Diel, T. K., Jorgensen, T. D., & Zijlstra, B. J. H. (2018). Examining density and reciprocity across social network models. Paper presented at XXXVIII Sunbelt 2018 Conference, Utrecht, Netherlands.
    • Forney, K. J., Jorgensen, T. D., Hall, J., & Giles, S. (2018). Utilizing the social relations model to understand peer perceptions of-body related conversation. Paper presented at International Conference on Eating Disorders 2018, Chicago, Illinois, United States.
    • Garnier-Villarreal, M., & Jorgensen, T. D. (2018). Adapting fit indices for Bayesian SEM: Comparison to maximum likelihood. Paper presented at 83rd annual International Meeting of the Psychometric Society, New York City, New York, United States.
    • Hensums, M., Overbeek, G. J., & Jorgensen, T. D. (2018). Not one sexual double standard but two: Attitudes about appropriate sexual behavior in Dutch adolescents: .. Paper presented at 16th conference of the European Association for Research on Adolescence (EARA) 2018, Ghent, Belgium.
    • Jorgensen, T. D. (2018). Handling missing data responsibly with structural equation modeling in R. Paper presented at JURE 2018, Antwerp, Belgium.
    • Jorgensen, T. D. (2018). State-of-the-art methods for handling missing data responsibly in SPSS or R. Paper presented at 30th Annual Convention of the Association for Psychological Science, San Francisco, California, United States.
    • Jorgensen, T. D., Forney, K. J., Hall, J., & Giles, S. (2018). Using modern methods for missing data analysis with the social relations model: A bridge to social network analysis. Paper presented at XXXVIII Sunbelt 2018 Conference, Utrecht, Netherlands.
    • ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2018). Interrater reliability for dyad-level predictors in network data. Paper presented at XXXVIII Sunbelt 2018 Conference, Utrecht, Netherlands.
    • van Rijn-van Gelderen, L., Ellis-Davies, K., Jorgensen, T. D., Gross, M., Bos, H. M. W., Winstanley, C. A., Rubio, B., Vecho, O., & Lamb, M. E. (2018). Determinants of co-parenting quality in gay-, lesbian-, and heterosexual-parent families with infants.. Poster session presented at 126th Annual Convention of the American Psychological Association, San Francisco.

    2017

    • van Rijn-van Gelderen, L., Bos, H. M. W., Jorgensen, T. D., Ellis-Davies, K., Winstanley, C. A., Golombok, S., Rubio, B., Gross, M., Vecho, O., & Lamb, M. E. (2017). Wellbeing of gay fathers with children born through surrogacy. Paper presented at 18th European Conference on Developmental Psychology, ECDP 2017, Utrecht, Netherlands.

    Lidmaatschap / relevante positie

    Tijdschriftredactie

    Spreker

    • Jorgensen, T. (speaker) (16-7-2024). Toward a general multivariate framework for social network data: An overview of estimation methods for structural social-relations models, 89th International Meeting of the Psychometric Society, Prague.
    • Jorgensen, T. (speaker) (13-4-2024). Can Bayesian methods yield more robust estimates of summary statistics for two-stage maximum likelihood estimation of multilevel structural equation models?, International Conference on Multilevel Analysis 2024, Utrecht. https://multilevel.fss.uu.nl/
    • Jorgensen, T. (speaker) & Bhangale, A. (speaker) (15-3-2024). Two-stage estimation of SEM parameters for social relations data, Meeting of the SEM Working Group 2024, Enschede.
    • Bhangale, A. (speaker) & Jorgensen, T. (speaker) (15-3-2024). Impact of prior information on two-stage maximum likelihood estimates of social-relations structural equation model parameters, Meeting of the SEM Working Group 2024, Enschede.
    • Bhangale, A. (speaker) & Jorgensen, T. (speaker) (13-3-2024). Hyperparameters of Prior Distributions for MCMC Estimation of the Multivariate Social Relations Model, International Conference on Multilevel Analysis 2024, Utrecht.
    • Jorgensen, T. (speaker) & Bhangale, A. (speaker) (1-3-2024). Bayesian inference for multivariate social relations models via (r)Stan, Psychoco 2024, Rotterdam.
    • Bhangale, A. (speaker) & Jorgensen, T. (speaker) (1-3-2024). Hyperparameters of empirical Bayes priors for MCMC estimation of the multivariate social relations model, Psychoco 2024, Rotterdam.
    • Bhangale, A. (speaker) & Jorgensen, T. (speaker) (27-7-2023). Comparing one- to two-stage maximum likelihood estimation for structural equation models of social network data, 88th international meeting of the psychometric society, College Park.
    • Jorgensen, T. (speaker) (11-7-2023). Toward a general multivariate framework for social network data: An overview of estimation methods for structural social-relations models, 10th biennial European Congress of Methodology, Ghent. https://osf.io/ahuq6/
    • Rifenbark, G. G. (speaker) & Jorgensen, T. D. (speaker) (11-7-2023). A Monte Carlo examination of two-stage approaches for evaluating structural model fit, 10th biennial European Congress of Methodology, Ghent.
    • Bhangale, A. (speaker) & Jorgensen, T. D. (speaker) (11-7-2023). Incorporating level-specific covariates in structural equation models of social-network data, 10th biennial European Congress of Methodology, Ghent. https://osf.io/ahuq6/
    • Schoemann, A. (speaker) & Jorgensen, T. (speaker) (4-2023). Simulating large-scale assessment data using the R package simsem, 2023 Meeting of the National Council on Measurement in Education (NCME), Chicago. https://doi.org/10.31234/osf.io/pxsrt
    • Bhangale, A. (speaker) & Jorgensen, T. (speaker) (9-3-2023). Estimation approaches for the social-relations structural equation model, 2023 International Convention of Psychological Science (ICPS), Brussels. https://osf.io/tnwug/
    • Jorgensen, T. (speaker) (11-7-2022). SimSEM-in-R: Simulating structural equation models using lavaan and simsem, International Meeting of the Psychometric Society (IMPS) 2022, Bologna. https://www.psychometricsociety.org/post/simsem-r-simulating-structural-equation-models-using-lavaan-and-simsem
    • Jorgensen, T. (speaker), ten Hove, D. (speaker) & Jak, S. (speaker) (26-5-2022). A taxonomy of reliability indices when measuring cluster-level constructs, 2022 APS Annual Convention, Chicago. https://osf.io/sm93v/
    • Jorgensen, T. (invited speaker) (14-4-2022). An overview of multilevel structural equation modeling using the lavaan package, International Conference on Multilevel Analysis, Utrecht. https://multilevel.fss.uu.nl/course/post-conference-multilevel-sem/
    • Jorgensen, T. (keynote speaker) (12-4-2022). Variety is the spice of life: A taxonomy of reliability indices when measuring cluster-level constructs, International Conference on Multilevel Analysis, Utrecht. https://multilevel.fss.uu.nl/
    • Jorgensen, T. (speaker), Mansolf, M. (speaker) & Enders, C. K. (speaker) (10-3-2022). Pooled score tests for SEM with multiply imputed data, Meeting of the SEM Working Group 2022, Tilburg. https://osf.io/m2gd8/
    • Merry, M. (invited speaker) & Jorgensen, T. (invited speaker) (27-9-2021). What is the value of diversity in an academic environment?.
    • ten Hove, D. (speaker), Jorgensen, T. (speaker) & van der Ark, A. (speaker) (7-2021). Updated guidelines on selecting an ICC to estimate interrater reliability, The 9th European Congress of Methodology [online], Valencia.
    • ten Hove, D. (speaker), Jorgensen, T. (speaker) & van der Ark, A. (speaker) (25-6-2020). Interrater Reliability: Updating Guidelines on Selecting an ICC, 85th Annual International Meeting of the Psychometric Society.
    • ten Hove, D. (speaker), Jorgensen, T. D. (speaker) & van der Ark, L. A. (speaker) (7-2019). Interrater reliability for multilevel data: A generalizability theory approach, 84th annual International Meeting of the Psychometric Society, Santiago.
    • Jorgensen, T. (speaker) (27-5-2019). Two-step approaches to fit an SEM to network data, Social Relations Model Meeting, Ghent.
    • ten Hove, D. (speaker), Jorgensen, T. D. (speaker) & van der Ark, L. A. (speaker) (2-2019). Applying generalizability theory to interdependent network data: Estimating interrater reliability, International Workshop on Psychometric Computing, Prague.
    • ten Hove, D. (speaker), Jorgensen, T. D. (speaker) & van der Ark, L. A. (speaker) (1-2019). Applying generalizability theory to interdependent network data: Estimating interrater reliability, Annual Peer-Relations Researchers [Peer Relaties Onderzoekers] (PRO) meeting, Amsterdam.
    • Fischer, K. (speaker), van den Akker, A. (speaker), Larsen, H. (speaker), Jorgensen, T. (speaker) & Overbeek, G. (speaker) (23-11-2018). Dopamine functioning and child externalizing behavior: A longitudinal analysis of polygenic susceptibility to parenting, VNOP-CAS Research Days 2018, Utrecht.
    • Kolbe, L. (speaker) & Jorgensen, T. (speaker) (20-7-2017). Testing measurement bias in restricted factor analysis using product indicators (Oral Presentation), International Meeting of the Psychometric Society 2017, Zürich.
    • van der Ark, L. A. (speaker), Jorgensen, T. (speaker) & Sigurdardóttir, S. M. (speaker) (19-7-2017). Planning interrater reliability studies, International Meeting of the Psychometric Society 2017, Zürich.
    • Jorgensen, T. (speaker), Kite, B. A. (speaker) & Chen, P.-Y. (speaker) (18-7-2017). Permutation tests of measurement equivalence with binary and ordinal indicators, International Meeting of the Psychometric Society 2017, Zürich.
    • Jorgensen, T. (speaker) (24-5-2017). Applying modern methods for missing data analysis to the social relations model, Modern Modeling Methods 2017, Storrs. http://modeling.uconn.edu/wp-content/uploads/sites/1188/2017/06/Jorgensen.M3-2017.MissingDataSRM.pdf
    • Jorgensen, T. (speaker), Forney, K. . (speaker), Hall, J. (speaker) & Giles, S. (speaker) (23-5-2017). Social relations model of self- and peer-perceived body preoccupation: Modeling missing data in a partially observed network, 29th Annual Convention of the Association for Psychological Science. https://osf.io/fmhg6
    • Jorgensen, T. (speaker) (17-3-2017). Permutation tests of configural invariance: Respecifying poor-fitting measurement models, Meeting of the Working Group SEM , Gent. http://www.uni-bielefeld.de/soz/personen/reinecke/wg_sem/meetings.html
    • Jak, S. (speaker) & Jorgensen, T. (speaker) (17-3-2017). Effect comparison in multilevel structural equation models multilevel reliability, Meeting of the Working Group SEM , Gent. http://www.uni-bielefeld.de/soz/personen/reinecke/wg_sem/meetings.html
    • Jorgensen, T. (speaker) (10-2-2017). Modern missing-data methods implemented in the R package semTools, International Workshop on Psychometric Computing, Vienna. https://eeecon.uibk.ac.at/psychoco/
    • Jorgensen, T. (speaker) (23-9-2016). Modern methods for handling missing data, Consultation 2.0 - Modern methods for handling missing data, Amsterdam.
    • Jorgensen, T. (speaker), Kite, B. A. (speaker), Chen, P.-Y. (speaker) & Short, S. D. (speaker) (12-7-2016). Permutation randomization methods for testing measurement equivalence/invariance across groups, International Meeting of the Psychometric Society 2016, Asheville.
    • Jorgensen, T. (speaker) (8-4-2016). Saving time on large-scale computations, Consultation 2.0 - Saving time on large-scale computations, Amsterdam.

    Andere

    • Jorgensen, T. (participant) (16-7-2024 - 19-7-2024). Using structural equation models to analyze round-robin data from social networks, Prague. This symposium was conducted at the 89th annual International Meeting of the Psychometric Society (IMPS) (organising a conference, workshop, ...).
    • Jorgensen, T. (chair) (11-7-2023 - 13-7-2023). Using structural equation models to analyze round-robin data from social networks, Ghent. This symposium was conducted at the 10th biennial European Congress of Methodology (EAM/SMEBS) at Ghent University, Belgium (organising a conference, workshop, ...). https://osf.io/ahuq6/
    • Jorgensen, T. (chair) (9-3-2023). 2023 International Convention of Psychological Science (ICPS), Brussels. I organized a symposium at the 2023 ICPS conference titled "New tools to analyze round-robin data from social networks". The symposium included (…) (organising a conference, workshop, ...). https://osf.io/tnwug/
    • Jorgensen, T. (visiting researcher) (7-7-2022 - 8-7-2022). Universitat Pompeu Fabra, CBC, Barcelona (visiting an external institution).
    • Jorgensen, T. (visiting researcher) (4-7-2022 - 6-7-2022). Universitat Pompeu Fabra, CBC, Barcelona (visiting an external institution).
    • Jorgensen, T. (chair) (26-5-2022 - 29-5-2022). 2022 APS Annual Convention, Chicago. organized symposium: "Advances in estimating and accounting for measurement error" (organising a conference, workshop, ...). https://osf.io/sm93v/
    • Jorgensen, T. (visiting lecturer) (16-2-2022 - 18-2-2022). Universitat Pompeu Fabra, CBC, Barcelona (visiting an external institution).
    • Jorgensen, T. (visiting lecturer) (10-2-2022). Charite Universitätsmedizin, Charite, Berlin, Germany. (visiting an external institution).
    • Jorgensen, T. (visiting lecturer) (3-9-2021). Ohio University (visiting an external institution).
    • Jorgensen, T. (visiting lecturer) (5-7-2021 - 7-7-2021). Universitat Pompeu Fabra, CBC, Barcelona (visiting an external institution).
    • Jorgensen, T. (visiting lecturer) (24-5-2021). NTNU Trondheim (visiting an external institution).
    • Jorgensen, T. (visiting researcher) (15-3-2021). Department of Psychology, McGill University, Montréal, Quebec H3A 0G4, Canada. (visiting an external institution).
    • Jorgensen, T. (chair) (16-7-2019 - 19-7-2019). 84th annual International Meeting of the Psychometric Society, Santiago. Organized symposium: "The lavaan ecosystem: Past, present, and future" (organising a conference, workshop, ...). https://www.psychometricsociety.org/imps-2019
    • Jorgensen, T. (participant) (15-7-2019 - 19-7-2019). 84th annual International Meeting of the Psychometric Society, Santiago. Chair of symposium: The lavaan ecosystem: Past, present, and future (organising a conference, workshop, ...). https://osf.io/bcy78/
    • Jorgensen, T. (visiting researcher) (18-2-2019 - 22-2-2019). Vanderbilt University (visiting an external institution).
    • Jorgensen, T. (host) (26-11-2018 - 30-11-2018). Pedro Henrique Ribeiro Santiago (hosting a visitor).
    • Jorgensen, T. (visiting researcher) (17-5-2018). University of California, Davis (visiting an external institution).
    • Verdam, M. G. E. (organiser), Oort, F. J. (organiser), Kan, K. J. (organiser), Jak, S. (organiser), Kolbe, L. (organiser) & Jorgensen, T. (organiser) (15-3-2018 - 16-3-2018). Meeting of the SEM Working Group 2018, Amsterdam (organising a conference, workshop, ...). http://www.uni-bielefeld.de/soz/personen/reinecke/wg_sem/meetings.html
    • Verdam, M. (organiser), Jak, S. (organiser), Kan, K. (organiser), Kolbe, L. (organiser), Oort, F. (organiser) & Jorgensen, T. (participant) (15-3-2018 - 16-3-2018). Meeting of the SEM Working Group 2018, Amsterdam (organising a conference, workshop, ...). https://www.uni-bielefeld.de/fakultaeten/soziologie/fakultaet/personen/reinecke/wg_sem/2018/index.xml

    2023

    2022

    • Kolbe, L. (2022). Novel approaches to assess measurement invariance. [Thesis, fully internal, Universiteit van Amsterdam]. [details]

    2021

    • Schoemann, A. M. & Jorgensen, T. D. (6-12-2021). Testing and Interpreting Latent Variable Interactions using the semTools package. Universiteit van Amsterdam. https://doi.org/10.21942/uva.17104532.v1
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  • Nevenwerkzaamheden
    • University College London
      statistical consultant on HORIZON 2020 project "I-RISK"
    • RECSM
      Summer Methods School