Gunter Maris

University of Amsterdam

57Publications

14H-index

561Citations

Publications 57

Newest

#1Alexander O. Savi (UvA: University of Amsterdam)H-Index: 4

#2Maarten Marsman (UvA: University of Amsterdam)H-Index: 15

Last.Gunter Maris (UvA: University of Amsterdam)H-Index: 14

view all 4 authors...

The positive manifold of intelligence has fascinated generations of scholars in human ability. In the past century, various formal explanations have been proposed, including the dominant g factor, ...

Characterizing the Manifest Probability Distributions of Three Latent Trait Models for Accuracy and Response Time

#1Maarten Marsman (UvA: University of Amsterdam)H-Index: 15

#2H. Sigurdardóttir (Tilburg University)H-Index: 1

Last.Gunter Maris (UvA: University of Amsterdam)H-Index: 14

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In this paper we study the statistical relations between three latent trait models for accuracies and response times: the hierarchical model (HM) of van der Linden (Psychometrika 72(3):287–308, 2007), the signed residual time model (SM) proposed by Maris and van der Maas (Psychometrika 77(4):615–633, 2012), and the drift diffusion model (DM) as proposed by Tuerlinckx and De Boeck (Psychometrika 70(4):629–650, 2005). One important distinction between these models is that the HM and the DM either ...

#1Joost KruisH-Index: 3

#2Gunter MarisH-Index: 14

Last.Han L. J. van der MaasH-Index: 39

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Even though classic theories and models of discrete choice pose man as a rational being, it has been shown extensively that people persistently violate rationality in their actual choices. Recent models of decision-making take these violations often (partially) into account, however, a unified framework has not been established. Here we propose such a framework, inspired by the Ising model from statistical physics, and show that representing choice problems as a graph, together with a simple cho...

#1Lourens J. Waldorp (UvA: University of Amsterdam)H-Index: 25

#2Maarten Marsman (UvA: University of Amsterdam)H-Index: 15

Last.Gunter Maris (UvA: University of Amsterdam)H-Index: 14

view all 3 authors...

The Ising model was originally developed to model magnetisation of solids in statistical physics. As a network of binary variables with the probability of becoming ’active’ depending only on direct neighbours, the Ising model appears appropriate for many other processes. For instance, it was recently applied in psychology to model co-occurrences of mental disorders. It has been shown that the connections between the variables (nodes) in the Ising network can be estimated with a series of logisti...

Dynamic estimation in the extended marginal Rasch model with an application to mathematical computer‐adaptive practice

#1Matthieu J. S. Brinkhuis (UU: Utrecht University)H-Index: 4

#2Gunter MarisH-Index: 14

#1Matthieu J. S. Brinkhuis (UU: Utrecht University)H-Index: 4

#2Gunter MarisH-Index: 14

In measurements that extend over longer periods of time, we might expect all sorts of changes in model parameters, such as ability and item difficulty. We define trackers as instruments with specific properties to deal with such changing parameters. First, trackers should allow for estimating dynamically changing parameters, adapting to possible changes in ability or item difficulty. Second, if no change occurs for some time, trackers should provide unbiased estimates with a known error variance...

#1Lu OuH-Index: 1

#2Abe D. Hofman (UvA: University of Amsterdam)H-Index: 5

Last.Han L. J. van der Maas (UvA: University of Amsterdam)H-Index: 39

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#1Benjamin DeonovicH-Index: 1

#2Michael YudelsonH-Index: 2

Last.Gunter Maris (UvA: University of Amsterdam)H-Index: 14

view all 5 authors...

Few models have been more ubiquitous in their respective fields than Bayesian knowledge tracing and item response theory. Both these models were developed to analyze data on learners. However, the study designs that these models are designed for differ; Bayesian knowledge tracing is designed to analyze longitudinal data while item response theory is built for cross-sectional data. This paper illustrates a fundamental connection between these two models. Specifically, the stationary distribution ...

An Asymptotically Efficient Metropolis-Hastings Sampler for Bayesian Inference in Large-Scale Educational Measuremen.

#1Timo M. BechgerH-Index: 12

#2Gunter MarisH-Index: 14

Last.Maarten MarsmanH-Index: 15

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This paper discusses a Metropolis-Hastings algorithm developed by \citeA{MarsmanIsing}. The algorithm is derived from first principles, and it is proven that the algorithm becomes more efficient with more data and meets the growing demands of large scale educational measurement.

#1Matthieu J. S. BrinkhuisH-Index: 4

#2Alexander O. SaviH-Index: 4

Last.Gunter MarisH-Index: 14

view all 6 authors...

With the advent of computers in education, and the ample availability of online learning and practice environments, enormous amounts of data on learning become available. The purpose of this paper is to present a decade of experience with analyzing and improving an online practice environment for math, which has thus far recorded over a billion responses. We present the methods we use to both steer and analyze this system in real-time, using scoring rules on accuracy and response times, a tailor...

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