dr. Rebecca Kuiper
Gegenereerd op 2018-08-15 12:46:28


Welcome to my UU-webpage.

I am an assistant professor and my specializations are model selection, theory-based hypotheses, and cross-lagged relationships. Currently, I am specializing in multilevel continuous-time models which can facilitate extracting all the valuable information in Experience Sampling Method data [in which participants register their experiences (e.g., feelings or symptoms) multiple times a day for several consecutive days]. I received a VENI-grant (starting at December 2016), which enables me to extend current multilevel continuous-time models, such that they can model more practical situations, and also to develop hypotheses selection tools for such models. Here, you can find a recently published article (by me and Oisín Ryan) that addresses both the continous-time (CT) and discrete-time (CLPM/VAR(1)) model and gives insight and when you should defnitely use a CT-model and when a discrite-time model would suffice.

I am working 10 years for Department of Methods and Statistics at University Utrecht. I am passionate about doing research in the field of (bio)statistics & psychometrics and of behavioural & social sciences, since there are a lot of statistical challenges I like to tackle and which in the end also contribute to society. 

Under the tab CV you can download my CV and my publications can also be found under the tab Publications. Here you can find the post-prints of my first-author publications. Below you find the software I developed and which you can use (in turn for referring to my work in case of using it for a publication). Have fun and do not hesitate to contact me in case of questions.




Software for ANOVA models (Clarification)
This software can be used to compare group means. When you do not have hypotheses/expectations about the means on forehand, you should use Explanatory ANOVA. In case you do have, that is, you have theory-based hypotheses, then you should use Confirmatory ANOVA or the GORIC, where the GORIC can handle a broader range of hypotheses (i.e., all linear restrictions except for range restrictions).

Software Exploratory and Confirmatory ANOVA
Comparisons of Means (console)
Comparisons of Means with Interface (gui)
Related articles: Kuiper & Hoijtink (2010) and Kuiper, Nederhoff, & Klugkist (2015)

Software Confirmatory ANOVA
Confirmatory ANOVA (console)
Confirmatory ANOVA with Interface (gui)
Related article: Kuiper and Klugkist, & Hoijtink (2010)

Software GORIC (modification AIC which can evaluate several types of order restrictions)
GORIC_ANOVA (console)
Additional Information on Simulation Study (pdf)
GORIC_ANOVA_RHS=r (console)
Related article:  Kuiper, Hoijtink, & Silvapulle (2011) with supplement. 


Software for Multivariate Regression Models (Clarification)
This software can be used to evaluate theory-based hypotheses / expectations you have on forehand regarding the regression coefficients in univariate and multivariate regression models.

Software GORIC (modification AIC which can evaluate several types of order restrictions)
GORIC_Multivariate_Regression (console)
GORIC_Multivariate_Regression with Interface (gui; beta-version)
- In addition, there is an R package available (with manual)
GORIC_Multivariate_Regression in Small Samples (console)
Related articles:  Kuiper, Hoijtink, & Silvapulle (2012), Kuiper and Hoijtink (2013); R package: Kuiper, Gerhard, & Hothorn (2014) with supplement, and http://cran.r-project.org/web/packages/goric/goric.pdf.


Software for Regression Models with Missing data (Clarification)
This software can be used when you are interested in predictor selection in regression models via AIC(C) and you encountered missing data.

Software AIC and AICC in the Presence of Missing Data for Predictor Selection with One Dependent Variable
Predictor Selection In Missing Data (console) 
Related article: Kuiper & Hoijtink (2011).


Software for Combining Multiple Studies (Clarification)
This software can be used when you have multiple studies regarding one concept and you want to combine the evidence from all these studies regarding your hypothesis that there is a positive or negative (or no) effect. For example, one might be interested in whether the effect of past on trust (conditional on other variables) is positive, negative or non-existing. Notably, this concept does not need to be modeled the same in all the studies since we combine evidence (not effects).

Software Combining Multiple Studies regarding the effect of one variable of interest. 
Combining Studies 
Related article: Kuiper, Raub, Buskens, & Hoijtink (2013) with Appendix.

Scientific expertise
Continuous-time models
dynamic modeling
Order-restricted / order-constrained model selection
Model selection
Gegenereerd op 2018-08-15 12:46:28
Curriculum vitae Download PDF
Gegenereerd op 2018-08-15 12:46:28
All publications
  2018 - Articles
Kuiper, Rebecca M. & Ryan, Oisín (05.03.2018). Drawing Conclusions from Cross-Lagged Relationships - Re-Considering the Role of the Time-Interval. Structural Equation Modeling, (pp. 1-15) (15 p.).
  2017 - Articles
Otava, Martin, Sengupta, Rudradev, Shkedy, Ziv, Lin, Dan, Pramana, Setia, Verbeke, Tobias, Haldermans, Philippe, Hothorn, Ludwig A., Gerhard, Daniel, Kuiper, Rebecca M., Klinglmueller, Florian & Kasim, Adetayo (01.06.2017). IsoGeneGUI - Multiple approaches for dose-response analysis of microarray data using R. The R Journal, 9 (1), (pp. 14-26) (13 p.).
  2017 - Workshop, seminar, course
Kuiper, R.M. (10.07.2017) Organiser Advanced course on Using Mplus Utrecht (10.07.2017 - 14.07.2017) Advanced course on Using Mplus
Kuiper, R.M. (03.07.2017) Organiser Introduction to Structural Equation Modeling using Mplus Utrecht (03.07.2017 - 07.07.2017) Introduction to Structural Equation Modeling using Mplus
  2016 - Articles
Altinisik, Yasin, Nederhof, Esther, Hoijtink, H.J.A., Oldehinkel, Albertine J. & Kuiper, R.M. (2016). Evaluation of Inequality Constrained Hypotheses Using a Generalization of the AIC. Psychological Methods
  2016 - Lectures
R.M. Kuiper (13.09.2016) Combining evidence from multiple studies.
R.M. Kuiper (25.02.2016) Go continuously.
R.M. Kuiper (17.08.2016) Studying time-lagged effects using ESM-data: Statistics lag behind, it is time to go continuously.
  2016 - Prize (including medals and awards)
Kuiper, R.M. 01.12.2016 Recipient VENI-grant from the Dutch Organization for Scientific Research (NWO). Nederlandse Oganisatie voor Wetenschappelijk Onderzoek (NWO)
  2015 - Articles
Hamaker, E.L., Kuiper, R.M. & Grasman, R.P.P.P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20 (1), (pp. 102–116) (15 p.).
Kuiper, Rebecca M., Nederhoff, Tim & Klugkist, Irene (01.05.2015). Properties of hypothesis testing techniques and (Bayesian) model selection for exploration-based and theory-based (order-restricted) hypotheses. British Journal of Mathematical and Statistical Psychology, 68 (2), (pp. 220-245) (26 p.).
  2015 - Lectures
R.M. Kuiper (23.07.2015) Confirmatory model selection: GORIC.
R.M. Kuiper (12.03.2015) Evaluation of informative hypotheses: The way to go(ric), a confirmatory model selection criterion (Poster).
  2015 - Membership of board
Kuiper, R.M. (2015) Chair The Netherlands Society for Statistics and Operations Research (VvS+OR) (External organisation) Board member of social science section of the VvS-OR
  2014 - Articles
Kuiper, Rebecca M., Gerhard, Daniel & Hothorn, Ludwig A. (01.02.2014). Identification of the Minimum Effective Dose for Normally Distributed Endpoints Using a Model Selection Approach. Statistics in Biopharmaceutical Research, 6 (1), (pp. 55-66) (12 p.).
  2013 - Articles
Kuiper, R.M. & Hoijtink, H. (2013). A Fortran 90 program for the generalization of the order-restricted information criterion. Journal of Statistical Software, 54, (pp. 1-19) (19 p.).
Kuiper, R.M., Buskens, V.W., Raub, W. & Hoijtink, H. (2013). Combining statistical evidence from several studies: A method using bayesian updating and an example from research on trust problems in social and economic exchange. Sociological Methods and Research, 42 (1), (pp. 60-81) (22 p.).
Kocken, P, Pannebakker, F, Fekkes, M., Kuiper, R.M., Gravesteijn, C & Diekstra, R (2013). Effecten van het lesprogramma ‘Levensvaardigheden’ op gezondheid en gedrag van leerlingen van het voortgezet onderwijs. JGZ (Houten), 45, (pp. 104-105) (2 p.).
Tak, E, Kuiper, R.M., Chorus, A.M.J. & Hopman-Rock, M. (2013). Prevention of onset and progression of basic ADL disability in community dwelling older adults: A meta-analysis. Ageing Research Reviews, 12, (pp. 329-338) (10 p.).
  2013 - Computer programs / software
Kuiper, Rebecca (2013). Software for Combining Multiple Studies - Combining Multiple Studies regarding the effect of one variable of interest.
  2012 - Articles
Kuiper, R.M., Hoijtink, H.J.A. & Silvapulle, M. J. (2012). Generalization of the Order-Restricted Information Criterion for Multivariate Normal Linear Models. Journal of Statistical Planning and Inference, 142, (pp. 2454-2463) (10 p.).
  2012 - Reports
Bernaards, C.M., Kuiper, R.M., Slinger, J. D. & Nauta, S. M. (2012). Eindevaluatie VMBO in beweging. (91 p.). Leiden: TNO Quality of Life.
van Dommelen, P., Galindo Garre, F., Kuiper, R.M. & Verheijden, M. W. (2012). Evaluatie programma voorbeeldgedrag ouders: - Landelijk programma over voorbeeldgedrag van ouders aan hun kinderen op het gebied van voeding en bewegen.. (23 p.). Leiden: TNO Quality of Life.
  2012 - Computer programs / software
Kuiper, Rebecca & Gerhard, Daniel (2012). An R package called goric: Generalized Order-Restricted Information Criterion - (in collaboration with dr. D. Gerhard).
Kuiper, Rebecca (2012). Software for Multivariate Regression Models - GORIC (modification AIC which can test several types of order restrictions).
  2012 - Doctoral thesis 1 (Research UU / Graduation UU)
  2011 - Articles
Kuiper, R.M., Hoijtink, H.J.A. & Silvapulle, M. J. (2011). An Akaike-type information criterion for model selection under inequality constraints. Biometrika, 98, (pp. 495-501) (7 p.).
Kuiper, R.M. & Hoijtink, H.J.A. (2011). How to handle missing data in regression models using information criteria. Statistica Neerlandica, 65 (4), (pp. 489-506) (18 p.).
  2011 - Book parts / chapters
Hamaker, E.L., Van Hattum, P., Kuiper, R.M. & Hoijtink, H.J.A. (2011). Model selection based on information criteria in multilevel modeling. In J.J.C.M. Hox & K. Roberts (Eds.), Handbook of Advanced Multilevel Analysis (pp. 231-255) (25 p.). New York: Taylor & Francis.
  2011 - Reports
Klein Velderman, M., Pannebakker, F. D., de Wolff, M. S., Pedro-Carroll, J. A., Kuiper, R.M., Vlasblom, E. & Reijneveld, S. A. (2011). Child adjustment in divorced families: Can we successfully intervene with Dutch 6- to 8-year-olds? Feasibility study Children of Divorce Intervention Program (CODIP) in the Netherlands.. (33 p.). Leiden: TNO Quality of Life.
  2011 - Computer programs / software
Kuiper, Rebecca (2011). Software for ANOVA models - Exploratory and Confirmatory ANOVA & GORIC.
Kuiper, Rebecca (2011). Software for Regression Models with Missing data - AIC and AICC in the Presence of Missing Data for Predictor Selection with One Dependent Variable.
  2011 - Lectures
R.M. Kuiper (14.03.2011) AIC in presence of missing data: What do Mplus and AMOS do wrong?
R.M. Kuiper (12.05.2011) Comparisons of means using confirmatory approaches. Hannover Biometry Seminars (organized by three universities of Hannover (LUH, MHH, TIHO)), University of Hannover (Germany), May, 2011.
R.M. Kuiper (06.12.2011) Confirmatory model selection: The GORIC.
R.M. Kuiper (11.05.2011) Directly evaluating expectations or testing the null hypothesis? Institute of Biostatistics, University of Hannover (Germany), May, 2011.
R.M. Kuiper (08.12.2011) Model selection criteria: How to evaluate order restrictions.
  2010 - Articles
Kuiper, R.M., Klugkist, I.G. & Hoijtink, H.J.A. (2010). A Fortran 90 Program for Confirmatory Analysis of Variance. Journal of Statistical Software, 34 (8), (pp. 1-31) (31 p.).
Kuiper, R.M. & Hoijtink, H.J.A. (2010). Comparisons of Means Using Exploratory and Confirmatory Approaches. Psychological Methods, 15 (1), (pp. 69-86) (18 p.).
  2010 - Articles in volumes / proceedings
Kuiper, R.M. & Hoijtink, H.J.A. (05.07.2010). Generalization of the Order-Restricted Information Criterion: Illustrated. Proceedings of the 25th International Workshop on Statistical Modelling (pp. 303-306) (4 p.). Glasgow: University of Glasgow.
  2010 - Reports
Kuiper, R.M., Dusseldorp, E. M. L. & Vogels, A. G. C. (2010). A first hypothetical estimate of the Dutch burden of disease in relation to negative experiences during childhood. (46 p.). Leiden: TNO Quality of Life.
  2010 - Lectures
R.M. Kuiper (16.12.2010) Confirmatory model selection.
R.M. Kuiper (05.07.2010) Generalization of the order-restricted information criterion (Poster).
R.M. Kuiper (18.05.2010) Invited organizer & chair of Bayesian session of ASA Spring Methodology Conference (Tilburg, May, 2011).
R.M. Kuiper (19.11.2010) Invited statistical consultant at The Hidden Epidemic Symposium organized by the Augeo Foundation (The Hague, November, 2010).
  2009 - Lectures
R.M. Kuiper (19.08.2009) Evaluating expectations or testing the null hypothesis?
  2008 - Book parts / chapters
Hoijtink, H.J.A., Huntjens, R.J.C., Reijntjes, A.H.A., Kuiper, R.M. & Boelen, P.A. (2008). An evaluation of Bayesian Inequality Constrained Analysis of Variance. In H.J.A. Hoijtink, I.G. Klugkist & P.A. Boelen (Eds.), Bayesian Evaluation of Informative Hypothesis (pp. 85-111) (373 p.). New York: Springer.
  2008 - Lectures
R.M. Kuiper (16.07.2008) Comparison of means using exploratory and confirmatory approaches (Poster).
R.M. Kuiper (11.12.2008) Comparison of means using exploratory and confirmatory approaches.
R.M. Kuiper (28.10.2008) Comparison of means using exploratory and confirmatory approaches.
R.M. Kuiper (26.06.2008) Comparison of means using exploratory and confirmatory approaches.
  0 - Lectures
R.M. Kuiper () Combining evidence for multiple studies.
R.M. Kuiper () Directly evaluating expectations: Bayesian model selection.
R.M. Kuiper () Evaluating informative hypotheses using GORIC, an order-restricted information criterion. Biostatistics seminar, VUMC Amsterdam, June, 2014.
R.M. Kuiper () Testing the null hypothesis or directly evaluating expectations?
R.M. Kuiper () Visit Institute of Biostatistics (Hannover, May, 2011) Presented (twice) at institute and talked with Prof. dr. Ludwig Hothorn about projects&articles (regarding GORIC).
  0 - Prize (including medals and awards)
Kuiper, R.M. Recipient Grant, financed by the Aspasia grant of Utrecht University, for writing a VENI proposal.
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Gegenereerd op 2018-08-15 12:46:29

I am an assistant professor (i.e., reseracher and teacher) at the Department of Methodology & Statistics at the Utrecht University. 

My first line of research is a continuation of my PhD-projects. In this line, I developed a hypothesis-evaluation technique called GORIC. This led to several first-author publications in prestigious journals such as Biometrika and Psychological Methods. Furthermore, I have been invited to give ten presentations, for instance, at the national university medical center VUMC and for universities in Hannover. 

I collaborated with Professor Silvapulle (Australia) on two publications. As a result, researchers contacted me, and I have established a network with researchers from Hannover, Canterbury, and Hasselt. This has rendered joint papers and software in the biostatistical field. 
The GORIC-research is not only continued via my network, but also extended with the PhD-student whom I supervise. The PhD-student and I collaborate with substantive researchers (e.g., Professor Oldehinkel) as well.

I also started in a second research line: modeling cross-lagged relationships. My first publication in this field is again one in a prestigious journal: Psychological Methods. Moreover, Utrecht University awarded me research time for working in this research area. Furthermore, I am participating in the local research group led by Dr. Hamaker on multilevel time series models. Additionally, I have established connections with Professor Tuerlinckx, Professor Borsboom, and Professor Wichers, and I am participating in the Dutch-Flemish network group Time Series and Network Dynamics, consisting of psychometricians, statisticians and ‘empirical’ researchers.

I aim to bring both research topics together such that researchers can model individually-varying cross-lagged relationships (with a multivariate multilevel continuous-time model) and evaluate their hypotheses regarding these relationships.



Here you can find the post-prints of my first-author publications.

Gegenereerd op 2018-08-15 12:46:29


  • Applied sociological regression analysis (2012 – present).
  • Methods and statistics (1+2) for pre-master students (2012 – present).
  • Methods and statistics II - Multivariate analysis for University College Utrecht (2008/09).
  • Invited lecture about Confirmatory ANOVA for research master students (2008).
  • Bayesian Statistics for IOPS Summer School (2008).



  • Make publicity for the Research master Methodology and Statistics for the Behavioural, Biomedical and Social Sciences (2014 – present)
  • Course: Methods and statistics (1+2) for pre-master students (2013 – present)



  • Henk Jan Stevens, research master student (2014/15)
  • Yasin Altinisik, PhD student (2014– present)
  • Stijn Timmer, bachelor student (2014)
  • Tim Nederhof, bachelor student (2010/11)



Statistical and methodological consulting regarding theses of students (bachelor and master) and dissertations of PhD students and for staff at the Faculty of Social and Behavioral Sciences.

Gegenereerd op 2018-08-15 12:46:29
Full name
dr. R.M. Kuiper Contact details
Sjoerd Groenmangebouw

Padualaan 14
Room C109
The Netherlands

Phone number (direct) +31 30 253 9039
Phone number (department) +31 30 253 4438


Gegenereerd op 2018-08-15 12:46:29
Last updated 04.06.2018