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dhr. dr. T.D. (Terrence) Jorgensen

Faculteit der Maatschappij- en Gedragswetenschappen
Programme group: Methods and statistics

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 primarily involve structural equation modeling (SEM), multilevel modeling, nonparametric methods, and modern missing data methods.  My methodological research interests include psychometrics (namely, testing measurement equivalence / invariance and detecting differential item functioning [DIF] / measurement bias), resampling methods (permutation, bootstrap, Monte Carlo simulation), Bayesian inference, planned missing data designs, and statistical programming.  I frequently intermingle these interests; for example, my dissertation research investigated the use of small-variance priors in Bayesian SEM for detecting DIF, and my postdoctoral work involved developing permutation-randomization methods for detecting DIF.  

    My current research is funded by the NWO's Veni grant, 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 SRM+SEM.  I also maintain two existing R packages (semTools and simsem) and contribute to two other R packages (lavaan and blavaan), which are all devoted to SEM in R. 

  • Background

    I was raised in the Atlanta, Georgia area of the USA. While my activities were primarily creative in my youth (theatre and music), I developed a strong interest in philosophy and psychology as well.  When I began to study psychology for my bachelor's degree at Kennesaw State University, I felt a stronger affinity for the topics involving research methods and statistics than I did for other (albeit interesting) content areas within psychology, so I decided to persue a master's degree in applied statistics.  During my master's program, I worked as the coordinator of KSU's psychology laboratory for bachelor's students, where I worked as an academic advisor, SPSS tutor, and editor of APA-style manuscripts.  I also edited manuscripts for APA-style as an editorial assistant for the journal Teaching of Psychology, and checked introductory methods and statistics textbooks for errors.  I spent my final months at the psych lab developing tutorial videos for students learning APA style and introductory statistics via SPSS for the first time.  My tutorials can be found on my YouTube page, linked below.

    Instructional Videos

    During my master's program, I was thrilled to learn about the field of quantitative psychology, where I could devote my attention to studying the statistical methods that other psychologists use to draw inferences about the people who are the focus of their research.  I attended a PhD program in quantitative psychology at the University of Kansas, during which I taught intermediate statistics to bachelor's students using R software, and I worked as a consultant in the Center for Research Methods and Data Analysis (CRMDA).  Also at the CRMDA, I helped develop workshops and instructional documents to use R for data management, regression, and SEM.  A link to these documents is provided below.

    Instructional Documents for R Statistical Software

  • Workshops
  • Publicaties

    2020

    • Fischer, K., van den Akker, A. L., Larsen, H., Jorgensen, T. D., & Overbeek, G. J. (2020). Dopamine Functioning and Child Externalizing Behavior: A Longitudinal Analysis of Polygenic Susceptibility to Parenting. Journal of developmental and behavioral pediatrics. https://doi.org/10.1097/DBP.0000000000000834
    • Garnier-Villarreal, M., & Jorgensen, T. D. (2020). Adapting fit indices for Bayesian structural equation modeling: Comparison to maximum likelihood. Psychological Methods, 25(1), 46-70. https://doi.org/10.1037/met0000224
    • Hensums, M., Overbeek, G. J., & Jorgensen, T. D. (2020). Not One Sexual Double Standard but Two? Adolescents' Attitudes about Appropriate Sexual Behavior. Youth and Society.
    • Jorgensen, T. D., & Jak, S. (2020). Review of Gana & Broc’s Structural Equation Modeling with lavaan: [Review of: K. Gana, G. Broc (2019) Structural equation modeling with lavaan]. Psychometrika, 85(2), 373-377. https://doi.org/10.1007/s11336-020-09705-6
    • Kolbe, L., Jorgensen, T. D., & Molenaar, D. (2020). The impact of unmodeled heteroskedasticity on assessing measurement invariance in single-group models. Structural Equation Modeling.
    • Monin, J. K., Jorgensen, T. D., & MacNeil Vroomen, J. L. (2020). Self-reports and caregivers’ proxy reports of unmet needs of persons with dementia: Implications for both partners’ health-related quality of life. The American Journal of Geriatric Psychiatry, 28(3), 363-367. https://doi.org/10.1016/j.jagp.2019.10.006
    • ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2020). Comparing hyperprior distributions to estimate variance components for interrater reliability coefficients. In M. Wiberg, D. Molenaar, J. González, H. Böckenholt, & J-S. Kim (Eds.), Quantitative psychology: The 84th annual meeting of the Psychometric Society, Santiago, Chile, 2019 (pp. 79-93). Springer. https://doi.org/10.1007/978-3-030-43469-4_7

    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). Cham: 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. https://doi.org/10.3758/s13428-018-1151-3 [details]
    • Mansolf, M., Jorgensen, T. D., & Enders, C. K. (2019). A multiple imputation score test for model modification in structural equation models. Psychological Methods. https://doi.org/10.1037/met0000243
    • 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, [101761]. https://doi.org/10.1016/j.lindif.2019.101761

    2018

    • Bos, H. M. W., van Rijn-van Gelderen, L., Vecho, O., Rubio, B., Gross, MA., Jorgensen, T. D., ... Lamb, M. E. (2018). Welbevinden van homoseksuele vaders met een kind via draagmoederschap. Pedagogiek, 38(2), 127-144.
    • 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. 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. 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. 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). Cham: 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). Cham: 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). Cham: 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., ... 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. 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. 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. 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. https://doi.org/10.1177/0098628313501037

    2011

    • McNamara, C. L., Williamson, A. L., & Jorgensen, T. D. (2011). Assessment of differential learning by topic in introductory psychology. Psychology Learning and Teaching, 10(3), 253-260. https://doi.org/10.2304/plat.2011.10.3.253

    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. Amsterdam: Universiteit van Amsterdam. [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, .

    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, United States.
    • Hensums, M., Overbeek, G. J., & Jorgensen, T. D. (2019). 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.
    • Hensums, M., Overbeek, G. J., & Jorgensen, T. D. (2019). Not One Sexual Double Standard but Two: Attitudes About Appropriate Sexual Behavior in Dutch Adolescents. 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, 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, United States.
    • 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, 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., ... 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., ... 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

    • Jorgensen, T. (2016). Psychometric Society.
    • Jorgensen, T. (2015). Interuniversity Graduate School of Psychometrics and Sociometrics.
    • Jorgensen, T. (2015). Association for Psychological Science.

    Spreker

    • 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.
    • 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.
    • Jorgensen, T. (speaker), Forney, K. J. (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.
    • Jorgensen, T. (speaker) (17-3-2017). Permutation tests of configural invariance: Respecifying poor-fitting measurement models, Meeting of the Working Group SEM , Gent.
    • 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.
    • Jorgensen, T. (speaker) (10-2-2017). Modern missing-data methods implemented in the R package semTools, International Workshop on Psychometric Computing, Vienna.
    • 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) (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, ...).
    • 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, ...).
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