Dr. I. (Ingmar) Visser
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Developmental Psychology
Expertisegebied: learning, cognitive development, infant cognition, (hidden) Markov models, psychometrics of learning & development, eye tracking, higher education
Bezoekadres
- Nieuwe Achtergracht 129
- Kamernummer: 1.18
Postadres
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Postbus 15916
1001 NK Amsterdam
Contactgegevens
Social media
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Profile
I am an associate professor in developmental psychology at the Psychology research institute. My research is best summarized as the psychometrics of learning and development. My core interest is in characterizing the building blocks of the human cognitive architecture, such as concepts, rules, attention. These building blocks are shaped during learning and development, for example in category learning, in implicit learning and rule learning. Across different experimental paradigms and age groups I develop state-of-the-art analytical approaches to further understanding of their results.
One important analytical approach concerns the detection of sudden changes in (developmental) processes through hidden Markov models. In recent years I developed methods for better characterizing of eye-tracking data and understanding the attentional processes underlying those data.
Recent research mostly focuses on infants through the Manybabies projects (I am leading the project on rule-learning) and I am one of co-founders of the ManyManys collaboration setting up a teamscience network for comparative research. Starting in September 2025 I am leading the Research Priority Area Building interdisciplinary teamscience for future-proof higher-education research (with Niels Smits and Peter van Baalen). I apply open science practices throughout my research.
I teach the course Growing a mind, about computational models (including AI models) for learning and development. Besides this I supervise students in their thesis/internship project in developmental psychology, behavioral datascience and brain and cognitive sciences.
Besides research and teaching I am director of the College of psychology and responsible for the bachelor programme. I also chair the University Committee on Education, advising the University board about educational policy.
Other links
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Research
Research methods
- Hidden Markov models
- Eye-tracking (in particular in infants)
- Open science
Current research methods
- Models for the evolution of social learning (with phd-student Nanda Jafarian); exploring the interaction between learning processes, evoluationary processes and knowledge structures.
- Application of AI/LLM models for feedback generation and automatic grading in higher education (with phd-student Luke Korthals)
- Research priority area Building interdisciplinary team science for future-proof higher education (leading together with Niels Smits and Peter van Baalen)
Current cooperation
- Manybabies: multi-lab infant research
- ManyManys: multi-site comparative research
- Maarten Speekenbrink: development of hidden Markov model and software (book)
RPA
- Building interdisciplinary team science for future-proof higher education
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Teaching
Course coordinator
Lecturing in
- Current Topics: Clinical Developmental and Health Psychology (bachelor psychology; topic: infant cognition)
- Good research practices (research master psychology, topic: team science)
- Master & research master theses & internships (psychology, brain & cognitive sciences)
PhD supervision
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Publicaties
- refereed (67)
- wetenschappelijk (10)
- vakpublicatie (1)
- populair wetenschappelijk (1)
- congresbijdragen (2)
- erkenning (5)
- supervised theses (5)
- proefschrift (1)
2025
- Lucca, K., Yuen, F., Wang, Y., Alessandroni, N., Allison, O., Alvarez, M., Axelsson, E. L., Baumer, J., Baumgartner, H. A., Bertels, J., Bhavsar, M., Byers-Heinlein, K., Capelier-Mourguy, A., Chijiiwa, H., Chin, C. S. S., Christner, N., Cirelli, L. K., Corbit, J., Daum, M. M., ... Hamlin, J. K. (2025). Infants’ Social Evaluation of Helpers and Hinderers: A Large-Scale, Multi-Lab, Coordinated Replication Study. Developmental Science, 28(1), Article e13581. https://doi.org/10.1111/desc.13581
2024
Alessandroni, N., Altschul, D., Bazhydai, M., Byers-Heinlein, K., Elsherif, M., Gjoneska, B., Huber, L., Mazza, V., Miller, R., Nawroth, C., Pronizius, E., Qadri, M. A. J., Šlipogor, V., Soderstrom, M., Stevens, J. R., Visser, I., Williams, M., Zettersten, M., & Prétôt, L. (2024). Comparative Cognition Needs Big Team Science: How Large-Scale Collaborations Will Unlock the Future of the Field. Comparative Cognition and Behavior Reviews, 19, 67-72. https://doi.org/10.3819/CCBR.2024.190001 [details]- Hoogeveen, S., Borsboom, D., Kucharský, Š., Marsman, M., Molenaar, D., de Ron, J., Sekulovski, N., Visser, I., van Elk, M., & Wagenmakers, E.-J. (2024). Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach. Royal Society Open Science, 11(9), Article 240049. https://doi.org/10.1098/rsos.240049 [details]
- Kucharský, Š., Zaharieva, M., Raijmakers, M., & Visser, I. (2024). Habituation, part II. Rethinking the habituation paradigm. Infant and Child Development, 33(1), Article e2383. https://doi.org/10.1002/icd.2383 [details]
- Schaaf, J. V., Johansson, A., Visser, I., & Huizenga, H. M. (2024). What’s in a name: The role of verbalization in reinforcement learning. Psychonomic Bulletin and Review, 31(6), 2746–2757. https://doi.org/10.3758/s13423-024-02506-3 [details]
- Visser, I., Kucharský, Š., Levelt, C., Stefan, A. M., Wagenmakers, E. J., & Oakes, L. (2024). Bayesian sample size planning for developmental studies. Infant and Child Development, 33, Article e2412. https://doi.org/10.1002/icd.2412
- Zaharieva, M. S., Salvadori, E. A., Messinger, D. S., Visser, I., & Colonnesi, C. (2024). Automated facial expression measurement in a longitudinal sample of 4- and 8-month-olds: Baby FaceReader 9 and manual coding of affective expressions. Behavior Research Methods, 56(6), 5709-5731. https://doi.org/10.3758/s13428-023-02301-3 [details]
2023
- Geambașu, A., Spit, S., van Renswoude, D., Blom, E., Fikkert, P. J. P. M., Hunnius, S., Junge, C. C. M. M., Verhagen, J., Visser, I., Wijnen, F., & Levelt, C. C. (2023). Robustness of the rule-learning effect in 7-month-old infants: A close, multicenter replication of Marcus et al. (1999). Developmental Science, 26(1), Article e13244. https://doi.org/10.1111/desc.13244 [details]
- Lichtenberg, L., Visser, I., & Raijmakers, M. E. J. (2023). Latent Markov Models to Test the Strategy Use of 3-Year-Olds in a Rule-Based Feedback-Learning Task. Multivariate Behavioral Research, 59(6), 1123-1136. https://doi.org/10.1080/00273171.2023.2170963
- Spit, S., Geambașu, A., van Renswoude, D., Blom, E., Fikkert, P., Hunnius, S., Junge, C., Verhagen, J., Visser, I., Wijnen, F., & Levelt, C. C. (2023). Robustness of the cognitive gains in 7-month-old bilingual infants: A close multi-center replication of Kovács and Mehler (2009). Developmental Science, 26(6), Article e13377. https://doi.org/10.1111/desc.13377 [details]
- Wesarg-Menzel, C., Ebbes, R., Hensums, M., Wagemaker, E., Zaharieva, M. S., Staaks, J. P. C., van den Akker, A. L., Visser, I., Hoeve, M., Brummelman, E., Dekkers, T. J., Schuitema, J. A., Larsen, H., Colonnesi, C., Jansen, B. R. J., Overbeek, G., Huizenga, H. M., & Wiers, R. W. (2023). Development and socialization of self-regulation from infancy to adolescence: A meta-review differentiating between self-regulatory abilities, goals, and motivation. Developmental Review, 69, Article 101090. https://doi.org/10.1016/j.dr.2023.101090 [details]
2022
- Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2022). Impaired learning to dissociate advantageous and disadvantageous risky choices in adolescents. Scientific Reports, 12, Article 6490. https://doi.org/10.1038/s41598-022-10100-7 [details]
- Lüken, M., Kucharský, S., & Visser, I. (2022). Characterising Eye Movement Events with an Unsupervised Hidden Markov Model. Journal of Eye Movement Research, 15(1), Article 4. https://doi.org/10.16910/jemr.15.1.4 [details]
- Schaaf, J. V., Xu, B., Jepma, M., Visser, I., & Huizenga, H. M. (2022). (Mal)Adaptive Learning After Switches Between Object-Based and Rule-Based Environments. Computational Brain & Behavior, 5(2), 157-167. https://doi.org/10.1007/s42113-022-00134-5 [details]
2021
- Byers-Heinlein, K., Tsui, R. K.-Y., van Renswoude, D., Black, A. K., Barr, R., Brown, A., Colomer, M., Durrant, S., Gonzalez-Gomez, N., Hay, J. F., Hernik, M., Jartó, M., Kovács, Á. M., Laoun-Rubenstein, A., Lew-Williams, C., Liszkowski, U., Liu, L., Noble, C., Potter, C. E., ... Singh, L. (2021). The development of gaze following in monolingual and bilingual infants: A multi‐laboratory study. Infancy, 26(1), 4-38. https://doi.org/10.1111/infa.12360 [details]
- Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2021). Effects of advice on experienced-based learning in adolescents and adults. Journal of Experimental Child Psychology, 211, Article 105230. https://doi.org/10.1016/j.jecp.2021.105230 [details]
- Kucharský, Š., Tran, N.-H., Veldkamp, K., Raijmakers, M., & Visser, I. (2021). Hidden Markov Models of Evidence Accumulation in Speeded Decision Tasks. Computational Brain and Behavior, 4(4), 416-441. https://doi.org/10.1007/s42113-021-00115-0 [details]
- Kucharský, Š., van Renswoude, D., Raijmakers, M., & Visser, I. (2021). WALD-EM: Wald Accumulation for Locations and Durations of Eye Movements. Psychological Review, 128(4), 667-689. https://doi.org/10.31234/osf.io/2s48r, https://doi.org/10.1037/rev0000292 [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]
2020
- Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2020). Uncertainty-driven regulation of learning and exploration in adolescents: A computational account. PLoS Computational Biology, 16(9), Article e1008276. https://doi.org/10.1371/journal.pcbi.1008276 [details]
- Kucharský, Š., Visser, I., Truțescu, G.-O., Laurence, P. G., Zaharieva, M., & Raijmakers, M. E. J. (2020). Cognitive strategies revealed by clustering eye movement transitions. Journal of Eye Movement Research, 13(1), Article 1. https://doi.org/10.16910/jemr.13.1.1 [details]
- Mulder, K., Klugkist, I., van Renswoude, D., & Visser, I. (2020). Mixtures of peaked power Batschelet distributions for circular data with application to saccade directions. Journal of Mathematical Psychology, 95, Article 102309. https://doi.org/10.1016/j.jmp.2019.102309 [details]
- van Bers, B. M. C. W., van Schijndel, T. J. P., Visser, I., & Raijmakers, M. E. J. (2020). Cognitive flexibility training has direct and near transfer effects, but no far transfer effects, in preschoolers. Journal of Experimental Child Psychology, 193, Article 104809. https://doi.org/10.1016/j.jecp.2020.104809 [details]
- van Renswoude, D., Raijmakers, M. E. J., & Visser, I. (2020). Looking (for) patterns: Similarities and differences between infant and adult free scene-viewing patterns. Journal of Eye Movement Research, 13(1), Article 2. https://doi.org/10.16910/jemr.13.1.2 [details]
2019
- Bayarri, M. J., Berger, J. O., Jang, W., Ray, S., Pericchi, L. R., & Visser, I. (2019). Prior-based Bayesian information criterion. Statistical Theory and Related Fields, 3(1), 2-13. https://doi.org/10.1080/24754269.2019.1582126 [details]
- Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A.-M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y.-S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., ... Donkin, C. (2019). The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models. Psychonomic Bulletin & Review, 26(4), 1051-1069. https://doi.org/10.3758/s13423-017-1417-2 [details]
- Schaaf, J. V., Jepma, M., Visser, I., & Huizenga, H. M. (2019). A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning. Journal of Mathematical Psychology, 93, Article 102276. https://doi.org/10.1016/j.jmp.2019.102276 [details]
- van Renswoude, D. R., Visser, I., Raijmakers, M. E. J., Tsang, T., & Johnson, S. P. (2019). Real-world scene perception in infants: What factors guide attention allocation? Infancy, 24(5), 693-717. https://doi.org/10.1111/infa.12308 [details]
- van Renswoude, D. R., van den Berg, L., Raijmakers, M. E. J., & Visser, I. (2019). Infants' center bias in free viewing of real-world scenes. Vision Research, 154, 44-53. https://doi.org/10.1016/j.visres.2018.10.003 [details]
2018
- Hofman, A. D., Visser, I., Jansen, B. R. J., Marsman, M., & van der Maas, H. L. J. (2018). Fast and slow strategies in multiplication. Learning and Individual Differences, 68, 30-40. https://doi.org/10.1016/j.lindif.2018.09.007 [details]
- van Renswoude, D. R., Raijmakers, M. E. J., Koornneef, A., Johnson, S. P., Hunnius, S., & Visser, I. (2018). Gazepath: An eye-tracking analysis tool that accounts for individual differences and data quality. Behavior Research Methods, 50(2), 834-852. https://doi.org/10.3758/s13428-017-0909-3 [details]
- van Schijndel, T. J. P., Huijpen, K., Visser, I., & Raijmakers, M. E. J. (2018). Investigating the development of causal inference by studying variability in 2- to 5- year-olds' behavior. PLoS ONE, 13(4), Article e0195019. https://doi.org/10.1371/journal.pone.0195019 [details]
2017
- 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]
- Visser, I., & Poessé, R. (2017). Parameter recovery, bias and standard errors in the linear ballistic accumulator model. British Journal of Mathematical and Statistical Psychology, 70(2), 280-296. https://doi.org/10.1111/bmsp.12100 [details]
2016
- Blakey, E., Visser, I., & Carroll, D. J. (2016). Different Executive Functions Support Different Kinds of Cognitive Flexibility: Evidence From 2-, 3-, and 4-Year-Olds. Child Development, 87(2), 513-526. https://doi.org/10.1111/cdev.12468 [details]
- Jansen, B. R. J., Hofman, A. D., Savi, A., Visser, I., & van der Maas, H. L. J. (2016). Self-adapting the success rate when practicing math. Learning and Individual Differences, 51, 1-10. https://doi.org/10.1016/j.lindif.2016.08.027 [details]
- Souverein, F. A., Ward, C. L., Visser, I., & Burton, P. (2016). Serious, Violent Young Offenders in South Africa: Are They Life-Course Persistent Offenders? Journal of Interpersonal Violence, 31(10), 1859-1882. https://doi.org/10.1177/0886260515570748 [details]
- Van Renswoude, D. R., Johnson, S. P., Raijmakers, M. E. J., & Visser, I. (2016). Do infants have the horizontal bias? Infant Behavior and Development, 44, 38-48. https://doi.org/10.1016/j.infbeh.2016.05.005 [details]
2015
- Hofman, A. D., Visser, I., Jansen, B. R. J., & van der Maas, H. L. J. (2015). The balance-scale task revisited: a comparison of statistical models for rule-based and information-integration theories of proportional reasoning. PLoS ONE, 10(10), Article e0136449. https://doi.org/10.1371/journal.pone.0136449 [details]
- Hosenfeld, B., Bos, E. H., Wardenaar, K. J., Conradi, H. J., van der Maas, H. L. J., Visser, I., & de Jonge, P. (2015). Major depressive disorder as a nonlinear dynamic system: bimodality in the frequency distribution of depressive symptoms over time. BMC Psychiatry, 15, Article 222. https://doi.org/10.1186/s12888-015-0596-5 [details]
- van Schijndel, T. J. P., Visser, I., van Bers, B. M. C. W., & Raijmakers, M. E. J. (2015). Preschoolers perform more informative experiments after observing theory-violating evidence. Journal of Experimental Child Psychology, 131, 104-119. https://doi.org/10.1016/j.jecp.2014.11.008 [details]
2014
- Andersen, L. M., Visser, I., Crone, E. A., Koolschijn, P. C. M. P., & Raijmakers, M. E. J. (2014). Cognitive strategy use as an index of developmental differences in neural responses to feedback. Developmental Psychology, 50(12), 2686-2696. https://doi.org/10.1037/a0038106 [details]
- Raijmakers, M. E. J., Schmittmann, V. D., & Visser, I. (2014). Costs and benefits of automatization in category learning of ill-defined rules. Cognitive Psychology, 69, 1-24. https://doi.org/10.1016/j.cogpsych.2013.12.002 [details]
- Visser, I., & Speekenbrink, M. (2014). Comments on: Latent Markov models: a review of a general framework for the analysis longitudinal data with covariates. Test, 23(3), 478-483. https://doi.org/10.1007/s11749-014-0389-z [details]
- Visser, I., & Speekenbrink, M. (2014). It's a Catastrophe! Testing dynamics between competing cognitive states using mixture and hidden Markov models. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), CogSci 2014: cognitive science meets artificial intelligence: human and artifical agents in interactive contexts: 36th Annual Cognitive Science Conference: Quebec City, Canada, Jul 23-Jul 26 (Vol. 2, pp. 1688-1693). Cognitive Science Society. https://mindmodeling.org/cogsci2014/papers/294/ [details]
- van Bers, B. M. C. W., Visser, I., & Raijmakers, M. (2014). Preschoolers can form abstract rule representations regardless of cognitive flexibility. Journal of Experimental Child Psychology, 124, 50-66. https://doi.org/10.1016/j.jecp.2014.01.017 [details]
- van Bers, B. M. C. W., Visser, I., & Raijmakers, M. (2014). Preschoolers learn to switch with causally related feedback. Journal of Experimental Child Psychology, 126, 91-102. https://doi.org/10.1016/j.jecp.2014.03.007 [details]
2013
- Ihrke, M., Behrendt, J., Schrobsdorff, H., Visser, I., & Hasselhorn, M. (2013). Negative Priming Persists in the Absence of Response-Retrieval. Experimental Psychology, 60(1), 12-21. https://doi.org/10.1027/1618-3169/a000169 [details]
2012
- Visser, I., & Raijmakers, M. E. J. (2012). Developing representations of compound stimuli. Frontiers in Psychology, 3, Article 73. https://doi.org/10.3389/fpsyg.2012.00073 [details]
2011
- Dutilh, G., Wagenmakers, E-J., Visser, I., & van der Maas, H. L. J. (2011). A phase transition model for the speed-accuracy trade-off in response time experiments. Cognitive Science, 35(2), 211-250. https://doi.org/10.1111/j.1551-6709.2010.01147.x [details]
- Huizenga, H. M., Visser, I., & Dolan, C. V. (2011). Testing overall and moderator effects meta-regression. British Journal of Mathematical & Statistical Psychology, 64(1), 1-19. https://doi.org/10.1348/000711010X522687 [details]
- Visser, I. (2011). Seven things to remember about hidden Markov models: a tutorial on Markovian models for time series. Journal of Mathematical Psychology, 55(6), 403-415. https://doi.org/10.1016/j.jmp.2011.08.002 [details]
- van Bers, B. M. C. W., Visser, I., van Schijndel, T. J. P., Mandell, D. J., & Raijmakers, M. E. J. (2011). The dynamics of development on the Dimensional Change Card Sorting task. Developmental Science, 14(5), 960-971. https://doi.org/10.1111/j.1467-7687.2011.01045.x [details]
2010
- Pronk, T., & Visser, I. (2010). The role of reversal frequency in learning noisy second order conditional sequences. Consciousness and Cognition, 19(2), 627-635. https://doi.org/10.1016/j.concog.2009.12.008 [details]
- Visser, I. (2010). [Review of: W. Zucchini, I.L. MacDonald (2009) Hidden Markov models for time series: an introduction using R.]. Journal of Mathematical Psychology, 54(6), 509-511. https://doi.org/10.1016/j.jmp.2010.07.001 [details]
- Visser, I., & Speekenbrink, M. (2010). depmixS4: an R-package for hidden Markov models. Journal of Statistical Software, 36(7), 1-21. http://www.jstatsoft.org/v36/i07/ [details]
- Visser, I., Jansen, B. R. J., & Speekenbrink, M. (2010). A framework for discrete change. In P. C. M. Molenaar, & K. M. Newell (Eds.), Individual pathways of change: statistical models for analyzing learning and development (pp. 109-123). APA Science. [details]
- van Duijvenvoorde, A. C. K., Jansen, B. R. J., Visser, I., & Huizenga, H. M. (2010). Affective and cognitive decision making in adolescents. Developmental Neuropsychology, 35(5), 539-554. https://doi.org/10.1080/875656412010494749 [details]
2009
- Visser, I., Raijmakers, M. E. J., & Pothos, E. M. (2009). Individual strategies in artificial grammar learning. The American Journal of Psychology, 122(3), 293-307. http://www.jstor.org/stable/27784404 [details]
2008
- Borsboom, D., & Visser, I. (2008). Semantic cognition or data mining? Behavioral and Brain Sciences, 31(6), 714-715. https://doi.org/10.1017/S0140525X08005906 [details]
2007
- Jansen, B. R. J., Raijmakers, M. E. J., & Visser, I. (2007). Rule transition on the balance scale task: A case study in belief change. Synthese, 155, 211-236. https://doi.org/10.1007/s11229-006-9142-9 [details]
- Visser, I., Raijmakers, M. E. J., & Molenaar, P. C. M. (2007). Characterizing sequence knowledge using online measures and hidden Markov models. Memory & Cognition, 35, 1502-1517. https://doi.org/10.3758/BF03193619 [details]
2006
- Schmittmann, V., Visser, I., & Raijmakers, M. E. J. (2006). Multiple learning modes in the development of performance on a rule-based category-learning task. Neuropsychologia, 44, 2079-2091. https://doi.org/10.1016/j.neuropsychologia.2005.12.011 [details]
- Visser, I., & Blaazer, T. (2006). Estimating correlations and reliabilities of implicit and explicit tests using a latent variable approach. In R. Sun (Ed.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 2317-2322). Lawrence Erlbaum Associates. [details]
2005
- van der Maas, H. L. J., Raijmakers, M. E. J., & Visser, I. (2005). Inferring the structure of latent class models using a genetic algorithm. Behavior Research Methods, 37(2), 340-352. https://doi.org/10.3758/BF03192702 [details]
2002
- Visser, I., Raijmakers, M. E. J., & Molenaar, P. C. M. (2002). Fitting hidden Markov models to psychological data. Scientific Programming, 10(3), 185-199. https://doi.org/10.1155/2002/874560
2000
- Visser, I. (2000). Hidden Markov model interpretations of neural networks. Behavioral and Brain Sciences, 23(4), 494-495. https://doi.org/10.1017/S0140525X00513351
2025
- Alessandroni, N., Altschul, D., Baumgartner, H. A., Bazhydai, M., Brosnan, S. F., Byers-Heinlein, K., Call, J., Chittka, L., Elsherif, M., Espinosa, J., Freeman, M. S., Gjoneska, B., Güntürkün, O., Huber, L., Krasheninnikova, A., Mazza, V., Miller, R., Moreau, D., Nawroth, C., ... Prétôt, L. (2025). Challenges and promises of big team comparative cognition. Nature Human Behaviour, 9(2), 240–242. https://doi.org/10.1038/s41562-024-02081-6
2022
- Visser, I. (2022). No data left behind. Infant and Child Development, 31(5), Article e2339. https://doi.org/10.1002/icd.2339 [details]
- Visser, I., Bergmann, C., Byers-Heinlein, K., Dal Ben, R., Duch, W., Forbes, S., Franchin, L., Frank, M. C., Geraci, A., Hamlin, J. K., Kaldy, Z., Kulke, L., Laverty, C., Lew-Williams, C., Mateu, V., Mayor, J., Moreau, D., Nomikou, I., Schuwerk, T., ... Zettersten, M. (2022). Improving the generalizability of infant psychological research: The ManyBabies model. Behavioral and Brain Sciences, 45, 63-65. Article e35. Advance online publication. https://doi.org/10.1017/S0140525X21000455 [details]
2019
- Berger, J., Jang, W., Ray, S., Pericchi, L., & Visser, I. (2019). Rejoinder by James Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi and Ingmar Visser. Statistical Theory and Related Fields, 3(1), 37-39. https://doi.org/10.1080/24754269.2019.1611147 [details]
2011
- Visser, I. (2011). Methodological solipsism. In P. C. Hogan (Ed.), The Cambridge encyclopedia of language sciences (pp. 497). Cambridge University Press. [details]
2009
- Visser, I., Raijmakers, M. E. J., & van der Maas, H. L. J. (2009). Hidden Markov models for individual time series. In J. Valsiner, P. C. M. Molenaar, M. C. D. P. Lyra, & N. Chaudhary (Eds.), Dynamic process methodology in the social and developmental sciences (pp. 269-289). Springer. [details]
2007
- Visser, I., Schmittmann, V., & Raijmakers, M. E. J. (2007). Markov process models for discrimination learning. In K. van Montford, J. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 337-365). Lawrence Erlbaum Associates. [details]
2005
- Schmittmann, V., Raijmakers, M. E. J., & Visser, I. (2005). Multiple Learning Modes in the Development of Rule-Based Category-learning Task Performance. In B. Hommel, G. P. H. Band, W. La Heij, & G. Wolters (Eds.), Fourteenth Conference of the European Society for Cognitive Psychology: Proceedings Leiden University. [details]
2000
- Visser, I., Raijmakers, M. E. J., & Molenaar, P. C. M. (2000). Confidence intervals for hidden Markov model parameters. British Journal of Mathematical & Statistical Psychology, 53(2), 317-327. https://doi.org/10.1348/000711000159240 [details]
- Visser, I., Raijmakers, M. E. J., & Molenaar, P. C. M. (2000). Reaction times and predictions in sequence learning: A comparison. In Twenty-second annual conference of the Cognitive Science Society [details]
2008
- Visser, I. (2008). [Review of: J. Rissanen (2007) Information and complexity in statistical modeling]. Kwantitatieve Methoden, 2007, 1-2. [details]
2014
- Visser, I. (Author). (2014). Why reproducible reporting?. Web publication or website, Open Science Collaboration. http://osc.centerforopenscience.org/2014/10/30/reproducible-reporting/
2022
- Spit, S. B., Geambașu, A., van Renswoude, D. R., Blom, W. B. T., Fikkert, P., Hunnius, S., Junge, C. M. M., Verhagen, J., Visser, I., Wijnen, F., & Levelt, C. C. (2022). Building blocks of cognition: replicating Marcus et al. (1999) and Kovács & Mehler (2009)..
1998
- Visser, I., Raijmakers, M. E. J., & Molenaar, P. C. M. (1998). Statistical properties of hidden Markov models. [details]
Prijs / subsidie
- Snellings, P. & Visser, I. (2022). A Study into the Reading Strategies of students reading English learning materials (EyeRead).
Lidmaatschap / relevante positie
- Visser, I. & Jansen, B. R. J. (2015). Chair in symposium "Criteria and validity of dual systems models in cognition", International Convention of Psychological Science.
Tijdschriftredactie
- Visser, I. (editor) (2013-2019). British Journal of Mathematical & Statistical Psychology (Journal).
Spreker
- Visser, I. (speaker) (6-11-2023). Studying infant cognition, robustly, Department of Psychology, University of Zurich, Zurich, Switzerland..
- Visser, I. (speaker) (22-8-2023). Detecting (categorical) individual differences in developmental data, Lancaster International Conference on Infant and Child Development, Lancaster.
2024
2023
2020
2018
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Nevenwerkzaamheden
- Geen nevenwerkzaamheden
Alessandroni, N., Altschul, D., Bazhydai, M., Byers-Heinlein, K., Elsherif, M., Gjoneska, B., Huber, L., Mazza, V., Miller, R., Nawroth, C., Pronizius, E., Qadri, M. A. J., Šlipogor, V., Soderstrom, M., Stevens, J. R., Visser, I., Williams, M., Zettersten, M., & Prétôt, L. (2024). Comparative Cognition Needs Big Team Science: How Large-Scale Collaborations Will Unlock the Future of the Field. Comparative Cognition and Behavior Reviews, 19, 67-72.