Publications
2023
Scholarly publications
Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P-C., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H. A. L., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink-Bosman, M., Moerbeek, M., ... Hoijtink, H. (2023). A review of applications of the Bayes factor in psychological research. Psychological Methods, 28(3), 558-579. https://doi.org/10.1037/met0000454
2022
Scholarly publications
Fu, Q., Moerbeek, M., & Hoijtink, H. (2022). Sample size determination for Bayesian ANOVAs with informative hypotheses. Frontiers in Psychology, 13, [947768]. https://doi.org/10.3389/fpsyg.2022.947768
Hoijtink, H. (2022). Prior sensitivity of null hypothesis Bayesian testing. Psychological Methods, 27(5), 804–821. https://doi.org/10.1037/met0000292
de Mulder, H. N. M., Hakemulder, F., Klaassen, F., Junge, C. M. M., Hoijtink, H., & van Berkum, J. J. A. (2022). Figuring Out What They Feel: Exposure To Eudaimonic Narrative Fiction Is Related To Mentalizing Ability. Psychology of Aesthetics, Creativity, and the Arts, 16(2), 242–258. https://doi.org/10.1037/aca0000428
Gu, X., Hoijtink, H., & Mulder, J. (2022). Bayesian One-Sided Variable Selection. Multivariate Behavioral Research, 57(2-3), 264-278 . https://doi.org/10.1080/00273171.2020.1813067
2021
Scholarly publications
Duken, S. B., Keessen, L., Hoijtink, H. J. A., Kindt, M., & van Ast, V. (Accepted/In press). Episodic and affective memory distortions in dysphoria: Bayesian testing of diverging theories [Registered Report Stage 1 Protocol]. In-principle accepted. Nature Communications. https://doi.org/10.6084/m9.figshare.14605374.v1
Gu, X. (Author), Hoijtink, H. (Author), Mulder, J. (Author), & van Lissa, C. (Author). (2021). bain0.2.8: R package for Bayesian evaluation of informative hypotheses.. Software http://CRAN.R-project.org/package=bain
Gu, X. (Author), Hoijtink, H. (Author), Mulder, J. (Author), & van Lissa, C. (Author). (2021). bain0.2.7. Software http://CRAN.R-project.org/package=bain
Altinisik, Y., van Lissa, C., Hoijtink, H., Oldehinkel, A. J., & Kuiper, R. (2021). Evaluation of inequality constrained hypotheses using a generalization of the AIC. Psychological Methods, 26(5), 599-621. https://doi.org/10.1037/met0000406
RELACS Consortium, & Hoijtink, H. (2021). Increasing the statistical power of animal experiments with historical control data. Nature Neuroscience, 24(4), 470-477. https://doi.org/10.1038/s41593-020-00792-3
Mulder, J., Gu, X., Olsson-Collentine, A., Tomarken, A., Böing-Messing, F., Hoijtink, H., Meijerink, M., Williams, D. R., Menke, J., Fox, J. P., Rosseel, Y., Wagenmakers, E. J., & van Lissa, C. (2021). BFpack: Flexible bayes factor testing of scientific theories in R. Journal of Statistical Software, 100(18), 1-63. https://doi.org/10.18637/jss.v100.i18
Van Lissa, C. J., Gu, X., Mulder, J., Rosseel, Y., Van Zundert, C., & Hoijtink, H. (2021). Teacher’s Corner: Evaluating Informative Hypotheses Using the Bayes Factor in Structural Equation Models. Structural Equation Modeling, 28(2), 292-301 . https://doi.org/10.1080/10705511.2020.1745644
Fu, Q., Hoijtink, H., & Moerbeek, M. (2021). Sample-size determination for the Bayesian t test and Welch's test using the approximate adjusted fractional Bayes factor. Behavior Research Methods, 53, 139-152. https://doi.org/10.3758/s13428-020-01408-1
Veldkamp, S. A. M., Zondervan - Zwijnenburg, M. A. J., van Bergen, E., Barzeva, S. A., Tamayo-Martinez, N., Becht, A. I., van Beijsterveld, C. E. M., Meeus, W. H. J., Branje, S. J. T., Hillegers, M. H., Oldehinkel, AJ., Hoijtink, H. J. A., Boomsma, D., & Hartman, C. (2021). Parental Age in Relation to Offspring’s Neurodevelopment. Journal of Clinical Child and Adolescent Psychology, 50(5), 632-644. https://doi.org/10.1080/15374416.2020.1756298
2020
Scholarly publications
Gu, X. (Author), Hoijtink, H. (Author), Mulder, J. (Author), & van Lissa, C. (Author). (2020). bain: Bayes factors for informative hypotheses. Software https://CRAN.R-project.org/package=bain
Zondervan - Zwijnenburg, M. A. J., Richards, J. S., Kevenaar, S. T., Becht, A. I., Hoijtink, H. J. A., Oldehinkel, T., Branje, S. J. T., Meeus, W. H. J., & Boomsma, D. (2020). Robust longitudinal multi-cohort results: The development of self-control during adolescence. Developmental Cognitive Neuroscience, 45, 1-9. [100817]. https://doi.org/10.1016/j.dcn.2020.100817
Zondervan-Zwijnenburg, M. A. J., Veldkamp, S. A. M., Neumann, A., Barzeva, S. A., Nelemans, S. A., van Beijsterveldt, C. E. M., Branje, S. J. T., Hillegers, M. H. J., Meeus, W. H. J., Tiemeier, H., Hoijtink, H. J. A., Oldehinkel, A. J., & Boomsma, D. I. (2020). Parental Age and Offspring Childhood Mental Health: A Multi-Cohort, Population-Based Investigation. Child Development, 91(3), 964-982. https://doi.org/10.1111/cdev.13267
2019
Scholarly publications
Hoijtink, H. J. A. (Author), van Lissa, C. J. (Author), Gu, X. (Author), & Mulder, J. (Author). (2019). bain0.2.2. Software https://informative-hypotheses.sites.uu.nl/software/bain/
Gu, X., Hoijtink, H., Mulder, J., & Rosseel, Y. (2019). Bain: a program for Bayesian testing of order constrained hypotheses in structural equation models. Journal of Statistical Computation and Simulation, 89(8), 1526-1553. https://doi.org/10.1080/00949655.2019.1590574
Dogge, M., Custers, R., Gayet, S., Hoijtink, H., & Aarts, H. (2019). Perception of action-outcomes is shaped by life-long and contextual expectations. Scientific Reports, 9(1), [5225]. https://doi.org/10.1038/s41598-019-41090-8
Hoijtink, H., Mulder, J., van Lissa, C., & Gu, X. (2019). A Tutorial on Testing Hypotheses Using the Bayes Factor. Psychological Methods, 24(5), 539-556. https://doi.org/10.1037/met0000201
Hoijtink, H., Gu, X., & Mulder, J. (2019). Bayesian evaluation of informative hypotheses for multiple populations. British Journal of Mathematical and Statistical Psychology, 72(2), 219-243. https://doi.org/10.1111/bmsp.12145
Hoijtink, H., Gu, X., Mulder, J., & Rosseel, Y. (2019). Computing Bayes Factors From Data With Missing Values. Psychological Methods, 24(2), 253-268. https://doi.org/10.1037/met0000187
2018
Scholarly publications
Klaassen, F., Zedelius, C. M., Veling, H., Aarts, H., & Hoijtink, H. (2018). All for one or some for all? Evaluating informative hypotheses using multiple N = 1 studies. Behavior Research Methods, 50(6), 2276-2291. https://doi.org/10.3758/s13428-017-0992-5
Gu, X., Mulder, J., & Hoijtink, H. (2018). Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses. British Journal of Mathematical and Statistical Psychology, 71(2), 229-261. https://doi.org/10.1111/bmsp.12110
Hoijtink, H., & van de Schoot, R. (2018). Testing small variance priors using prior-posterior predictive p values. Psychological Methods, 23(3), 561-569. https://doi.org/10.1037/met0000131
Benjamin, D. J., Berger, J. O., Johannesson, M., Nosek, B. A., Wagenmakers, E. J., Berk, R., Bollen, K. A., Brembs, B., Brown, L., Camerer, C., Cesarini, D., Chambers, C. D., Clyde, M., Cook, T. D., De Boeck, P., Dienes, Z., Dreber, A., Easwaran, K., Efferson, C., ... Johnson, V. E. (2018). Redefine statistical significance. Nature Human Behaviour, 2, 6-10. https://doi.org/10.1038/s41562-017-0189-z
Professional publications
van der Palm, D., & Hoijtink, H. J. A. (2018). Psychometrische benadering binnen de DTT. In S. Schouwstra (Ed.), De ontwikkeling van de diagnostische tussentijdse toets (2012-2017) (pp. 101-108). Cito.
https://dspace.library.uu.nl/bitstream/handle/1874/375609/van_der_palm.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/375609/van_der_palm.pdf?sequence=1
Other output
Hoijtink, H. J. A. (Author), Gu, X. (Author), & Mulder, J. (Author). (2018). Bain0.1.2. Software
2017
Scholarly publications
Chow, S. M., & Hoijtink, H. (2017). Bayesian Estimation and Modeling: Editorial to the Second Special Issue on Bayesian Data Analysis. Psychological Methods, 22(4), 609-615. https://doi.org/10.1037/met0000169
Böing-Messing, F., van Assen, M. A. L. M., Hofman, A. D., Hoijtink, H., & Mulder, J. (2017). Bayesian evaluation of constrained hypotheses on variances of multiple independent groups. Psychological Methods, 22(2), 262-287. https://doi.org/10.1037/met0000116
Hoijtink, H., & Chow, S. M. (2017). Bayesian hypothesis testing: Editorial to the special issue on Bayesian data analysis. Psychological Methods, 22(2), 211-216. https://doi.org/10.1037/met0000143
Jongerling, J., & Hoijtink, H. (2017). Explained Variance and Intraclass Correlation in a Two-Level AR(1) Model. Multivariate Behavioral Research, 52(4), 403-415. https://doi.org/10.1080/00273171.2017.1299616
Bolsinova, M., Hoijtink, H., Vermeulen, J. A., & Béguin, A. (2017). Using Expert Knowledge for Test Linking. Psychological Methods, 22(4), 705-724. https://doi.org/10.1037/met0000124
Zondervan - Zwijnenburg, M. A. J., van de Schoot-Hubeek, W., Lek, K. M., Hoijtink, H. J. A., & van de Schoot, A. G. J. (2017). Application and evaluation of an expert judgment elicitation procedure for correlations. Frontiers in Psychology, 8, [90]. https://doi.org/10.3389/fpsyg.2017.00090
Other output
Gu, X. (Author), Hoijtink, H. J. A. (Author), & Mulder, J. (Author). (2017). Bain. Software
Hoijtink, H. J. A. (Author). (2017). Website on Informative Hypotheses: http://informative-hypotheses.sites.uu.nl/. Web publication/site, Universiteit Utrecht.
2016
Scholarly publications
Bolsinova, M., Maris, G., & Hoijtink, H. (2016). Unmixing Rasch scales: How to score an educational test. Annals of Applied Statistics, 10(2), 925-945. https://doi.org/10.1214/16-AOAS919
Kopp, B., Seer, C., Lange, F., Kluytmans, A., Kolossa, A., Fingscheidt, T., & Hoijtink, H. (2016). P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study. Cognitive, Affective and Behavioral Neuroscience, 16(5), 911-928. https://doi.org/10.3758/s13415-016-0442-3
Hoijtink, H., van Kooten, P., & Hulsker, K. (2016). Why Bayesian Psychologists Should Change the Way They Use the Bayes Factor. Multivariate Behavioral Research, 51(1), 2-10. https://doi.org/10.1080/00273171.2014.969364
Hoijtink, H., van Kooten, P., & Hulsker, K. (2016). Bayes Factors Have Frequency Properties—This Should Not Be Ignored: A Rejoinder to Morey, Wagenmakers, and Rouder. Multivariate Behavioral Research, 51(1), 20-22. https://doi.org/10.1080/00273171.2015.1071705
Other output
Hoijtink, H. J. A. (Author). (2016). Website on Informative Hypotheses: http://informative-hypotheses.sites.uu.nl/. Web publication/site
2015
Scholarly publications
Tijmstra, J., Hoijtink, H., & Sijtsma, K. (2015). Evaluating Manifest Monotonicity Using Bayes Factors. Psychometrika, 80(4), 880-896. https://doi.org/10.1007/s11336-015-9475-8
Vrinten, C., Gu, X., Weinreich, S. S., Schipper, M. H., Wessels, J., Ferrari, M. D., Hoijtink, H., & Verschuuren, J. J. G. M. (2015). An n-of-one RCT for intravenous immunoglobulin G for inflammation in hereditary neuropathy with liability to pressure palsy (HNPP). Journal of Neurology, Neurosurgery and Psychiatry. https://doi.org/10.1136/jnnp-2014-309427
Gu, X., Hoijtink, H., & Mulder, J. (2015). Error Probabilities in Default Bayesian Hypothesis Testing. Journal of Mathematical Psychology. https://doi.org/10.1016/j.jmp.2015.09.001
Other output
Hoijtink, H. J. A. (Author). (2015). Informative Hypotheses (website): http://informative-hypotheses.sites.uu.nl/. Web publication/site http://informative-hypotheses.sites.uu.nl/
Hoijtink, H. J. A. (2015). Using informative hypotheses to evaluate a N=1 study. Abstract from International Society for Clinical Biostatistics 2015, Utrecht, Netherlands.
2014
Scholarly publications
Gu, X., Mulder, J., Dekovic, M., & Hoijtink, H. J. A. (2014). Bayesian evaluation of inequality constrained hypotheses. Psychological Methods, 19(4), 511-527. https://doi.org/10.1037/met0000017
Rietbergen, C., Groenwold, R., Hoijtink, H., Moons, C., & Klugkist, I. (2014). Expert Elicitation of Study Weights for Bayesian Analysis and Meta-Analysis. Journal of Mixed Methods Research, 10(2), 168-181. https://doi.org/10.1177/1558689814553850
van de Schoot, R., Verhoeven, M., & Hoijtink, H. (2014). Corrigendum to: Bayesian evaluation of informative hypotheses in SEM using Mplus. European Journal of Developmental Psychology, 11(3), 396. https://doi.org/10.1080/17405629.2014.885645
Cooper, R., Doehrmann, O., Fang, A., Gerlach, A. L., Hoijtink, H. J. A., & Hofmann, S. G. (2014). Relationship between social anxiety and perceived trustworthiness. Anxiety, Stress, and Coping : an International Journal, 27(2), 190-201. https://doi.org/10.1080/10615806.2013.834049
2013
Scholarly publications
Hautmann, C., Hoijtink, H. J. A., Eichelberger, I., Gortz-Dorten, A., Hanisch, C., Pluck, J., Walter, D., & Dopfner, M. (2013). Any indication for bias due to participation? Comparison of the effect of a parent management training rated by participating and non-participating parents. Clinical Psychology & Psychotherapy, 20, 384-393. https://doi.org/10.1002/cpp.1784
Hoijtink, H. (2013). Objective Bayes Factors for Inequality Constrained Hypotheses. International Statistical Review, 81, 207-229. https://doi.org/10.1111/insr.12010
2011
Scholarly publications
Van Wesel, F., Hoijtink, H. J. A., & Klugkist, I. G. (2011). Choosing Priors for Constrained Analysis of Variance: Methods Based on Training Data. Scandinavian Journal of Statistics, 38(4), 666-690. https://doi.org/10.1111/j.1467-9469.2010.00719.x
2010
Scholarly publications
Kuiper, R. M., & Hoijtink, H. J. A. (2010). Generalization of the Order-Restricted Information Criterion: Illustrated. In Proceedings of the 25th International Workshop on Statistical Modelling (pp. 303-306). University of Glasgow.
Kuiper, R. M., & Hoijtink, H. J. A. (2010). Comparisons of Means Using Exploratory and Confirmatory Approaches. Psychological Methods, 15(1), 69-86.
Van Hattum, P., & Hoijtink, H. J. A. (2010). Reducing the optimal to a useful number of clusters for model-based clustering. Journal of Targeting, Measurement and Analysis for Marketing, 18, 139-154.
Van Wesel, F., Hoijtink, H. J. A., & Klugkist, I. G. (2010). Choosing priors for inequality constrained normal linear models: methods based on training samples. Scandinavian Journal of Statistics, 38, 666-690.
2009
Scholarly publications
van Deun, K., Hoijtink, H. J. A., Thorrez, L., van Lommel, L., Schuit, F., & Mechelen, I. (2009). Testing the hypothesis of tissue-selectivity: The Intersection-Union Test and a Bayesian approach. Bioinformatics, 25, 2588-2594.
Boelen, P. A., & Hoijtink, H. J. A. (2009). An item response theory analysis of a measure of complicated grief. Death Studies, 33, 101-129.
Hautmann, C., Hoijtink, H. J. A., Eichelberger, I., Hanisch, C., Pluck, J., Walter, D., & Dopfner, M. (2009). One-year follow-up of a parent management training for children with externalizing behavior problems in the real world. Behavioural and Cognitive Psychotherapy, 37, 379-396.
Hoijtink, H. J. A. (2009). Bayesian data analysis. In R. E. Millsap, & A. Maydeu-Olivares (Eds.), The SAGE handbook of quantitative methods in psychology (pp. 423-443). SAGE.
2008
Scholarly publications
Hoijtink, H. J. A., Klugkist, I. G., & Boelen, P. A. (2008). Bayesian evaluation of informative hypotheses. Springer.
Hoijtink, H. J. A., Klugkist, I. G., & Boelen, P. A. (2008). An introduction to Bayesian evaluation of informative hypotheses. In H. J. A. Hoijtink, I. G. Klugkist, & P. A. Boelen (Eds.), Bayesian Evaluation of Informative Hypotheses (pp. 1-6). Springer.
Other output
van de Schoot, A. G. J., & Hoijtink, H. J. A. (2008, Aug). Tutorial For Inequality Constrained Latent Class Modeling (LCM version 1.0). http://informative-hypotheses.sites.uu.nl/wp-content/uploads/sites/23/2015/04/tutorial_v04.pdf
2007
Scholarly publications
Klugkist, I. G., & Hoijtink, H. J. A. (2007). The Bayes factor for inequality and about equality constrained models. Computational Statistics and Data Analysis, 51, 6367-6379.
Popularising publications
Hoijtink, H. J. A. (2007). De analyse van empirische data met behulp van informatieve hypothesen. STAtOR, 8(2), 4-7.
Hoijtink, H. J. A., & De Jonge, J. (2007). Beginselen van covariantie-structuuranalyse. Gedrag en Organisatie, 20(1), 57-81.
2005
Scholarly publications
Kato, B. S., Hoijtink, H. J. A., Verdellen, C., Hagenaars, M. A., van Minnen, A., & Keijsers, G. (2005). Application of Multilevel Models to Structured Repeated Measurements. Quality and Quantity, (39), 711-732. https://doi.org/10.1007/s11135-005-4482-y
Klugkist, I. G., Kato, B. S., & Hoijtink, H. J. A. (2005). Bayesian Model Selection Using Encompassing Priors. Statistica Neerlandica, 59, 57-69.
https://dspace.library.uu.nl/bitstream/handle/1874/30376/SN_KKH2005.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/30376/SN_KKH2005.pdf?sequence=1
Other output
Hoijtink, H. J. A. (2005). Subsidie NWO-VICI-Grant: Learning more from Emperical Data Using Prior Knowledge.
2004
Scholarly publications
van Alphen, S. P. J., Engelen, G. J. J. A., Kuin, Y., Hoijtink, H. J. A., & Derksen, J. J. L. (2004). Constructie van een schaal voor signalering van persoonlijkheidsstoornissen bij ouderen. Tijdschrift voor Gerontologie en Geriatrie, 35, 186-195.
Hoijtink, H. J. A., & Notenboom, A. (2004). Model based clustering of large data sets: tracing the development of spelling ability. Psychometrika, 481-498.
https://dspace.library.uu.nl/bitstream/handle/1874/11238/hoijtink-04Modelbasedclusteringoflargedatasets.pdf?sequence=2
https://dspace.library.uu.nl/bitstream/handle/1874/11238/hoijtink-04Modelbasedclusteringoflargedatasets.pdf?sequence=2
2003
Scholarly publications
Glockner-Rist, A., & Hoijtink, H. J. A. (2003). The best of both worlds: Factor analysis of dichotomous data using item response theory and structural equation modelling. Structural Equation Modeling, 10, 544-565.
Boelen, P. A., Van den Bout, J., de Keijser, J., & Hoijtink, H. J. A. (2003). Reliability and validity of the Dutch version of the inventory of traumatic grief (ITG). Death Studies, 27, 227-247.
Hoijtink, H. J. A. (2003). Persoonlijkheidsstoornissen binnen de ambulante GGZ voor ouderen. Appendix bij het eindverslag van de constructie van een screeningsinstrument door Engelen, van Alphen, van der Staak, Broekman, Derksen en Kuin. FSW Capaciteitsgroep Methodenleer & Statistiek.
Professional publications
Custers, J. W. H., Wassenberg, J. E., van der Net, J., Hoijtink, H. J. A., Vermeer, A., & Helders, P. J. M. (2003). Dutch adaptation of the pediatric evaluation of disability inventory. Nederlands Tijdschrift voor Fysiotherapie, 113, 33-36.
2002
Scholarly publications
Custers, J. W. H., van der Net, J. W., Hoijtink, H. J. A., Wassenberg, J. E., Vermeer, A., & Helders, P. J. M. (2002). Discriminative validity of the Dutch Pediatric Evalation of Disability Inventory (PEDI). Archives of Physical Medicine and Rehabilitation, 83, 1437-1441.
https://dspace.library.uu.nl/bitstream/handle/1874/21078/Hoijtink%282002%29_discrimintive%2520validity.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/21078/Hoijtink%282002%29_discrimintive%2520validity.pdf?sequence=1
2001
Scholarly publications
Hoijtink, H. J. A. (2001). Confirmatory latent class analysis: model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563-588.
2000
Scholarly publications
Mechelen, I., de Boeck, G., & Hoijtink, H. J. A. (2000). Guest editors of special issue on Bayesian computational statistics. Computational Statistics, 15, 315-442.
Custers, J. W. H., Hoijtink, H. J. A., van der Net, J., & Helders, P. J. M. (2000). Cultural differences in Functional Status Measurement. Quality of Life Research, 9, 571-578.
1999
Scholarly publications
Hoijtink, H. J. A., Rooks, G., & Wilmink, F. W. (1999). Confirmatory factor analysis of items with a dichotomous response format using the multidimensional Rasch model. Psychological Methods, 4, 300-314.
1998
Scholarly publications
Hoijtink, H. J. A. (1998). Constrained latent class analysis using the Gibbs sampler and posterior predictive p-values: applications to educational testing. Statistica Sinica, 8, 691-711.
https://dspace.library.uu.nl/bitstream/handle/1874/27933/hoijtinkstatsin.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/27933/hoijtinkstatsin.pdf?sequence=1