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Dr Don Van Ravenzwaaij

Conjoint Lecturer

School of Psychology

Career Summary

Biography

My name is Don van Ravenzwaaij and I am a lecturer (Assistant Professor) in Cognitive  and Computational Psychology at the University of Newcastle. I obtained my PhD in Quantitative Psychology at the University of Amsterdam in 2012. After graduating, I have worked as a post-doc at the University of New South Wales on developing computational models of judgment and decision making processes until July 2013. For more information on my research and my teaching, please visit my website at http://www.donvanravenzwaaij.com/Home.html

Research Expertise
The first pillar of my research has been the advancement and application of response time models, such as the drift diffusion model, to speeded decision making. In the past, I have published both theoretical and applied work on response time models in the fields of mathematical psychology, statistics, neurophysiology, intelligence research, social psychology, psychopharmacology, and clinical psychology. The second pillar of my research has been the application of Bayesian decision-making models to data from non-speeded decision environments. My interest is in developing computational models aimed at examining how decision makers gather information in new and uncertain decision environments. I have also worked on developing computational models for tasks that assess risk taking behavior.

Teaching Expertise
I am currently the course co-ordinator of Psyc3000, the third year statistics and methodology course of psychology. I have also taught classes on cognitive science, Bayesian statistics, R and Matlab, and the typesetting program LaTeX.

Administrative Expertise
CoursI am currently the course co-ordinator of Psyc3000, the third year statistics and methodology course of psychology. I was also co-organizer of the annual Mathematical Psychology Conference, which was hosted in Amsterdam in August 2009.

Collaborations
Response time modeling with Prof. Eric-Jan Wagenmakers, A/Prof. Scott Brown, and Prof. Francis Tuerlinckx.

Qualifications

  • PhD (Behavioural Science), University of Amsterdam - Netherlands
  • Master of Science (Psychology), University of Amsterdam - Netherlands

Keywords

  • Bayesian modeling
  • Cognitive Science
  • Judgment and decision making
  • Response time modeling
  • Statistics

Languages

  • German (Fluent)
  • Dutch (Fluent)

Fields of Research

Code Description Percentage
170202 Decision Making 40
170112 Sensory Processes, Perception and Performance 60

Professional Experience

Academic appointment

Dates Title Organisation / Department
1/01/2014 - 31/12/2017 Membership - Australian Council Grant Australian Council
Australia
1/01/2014 -  Membership - Psychonomic Society Psychonomic Society
Australia
1/04/2012 - 1/07/2013 Post-doc The University of New South Wales
School of Psychology
Australia
1/01/2012 - 31/12/2012 Editorial Board - ANZAScA Australian and New Zealand Architectural Science Association (ANZAScA)
Australia
1/01/2012 - 31/12/2013 Membership - ANZAScA Australian and New Zealand Architectural Science Association (ANZAScA)
Australia
1/01/2008 - 1/12/2011 PhD Student University of Amsterdam
School of Psychology
Netherlands
1/01/2008 -  Membership - Society of Mathematical Psychology Society of Mathematical Psychology
Australia

Awards

Research Award

Year Award
2014 DECRA
Australia Research Council
Edit

Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (3 outputs)

Year Citation Altmetrics Link
2015 Wetzels R, van Ravenzwaaij D, Wagenmakers EJ, 'Bayesian analysis', The Encyclopedia of Clinical Psychology, Wiley, Cham, Switzerland . (2015)
DOI 10.1002/9781118625392.wbecp453
Co-authors Dvanravenzwaaij1
2013 van Ravenzwaaij D, Lee MD, Wagenmakers EJ, 'The BART model of risk taking', Bayesian cognitive modelling: A practical course, Cambridge University Press, Cambridge 207-212 (2013)
Co-authors Dvanravenzwaaij1
Schulze C, van Ravenzwaaij D, Newell BR, 'Match me if you can: How smart choices are fuelled by competition', Proceedings of the 35th Annual Conference of the Cognitive Science Society, Cognitive Science Society [E3]
Co-authors Dvanravenzwaaij1

Journal article (30 outputs)

Year Citation Altmetrics Link
2017 Schulze C, van Ravenzwaaij D, Newell BR, 'Hold It! The Influence of Lingering Rewards on Choice Diversification and Persistence', Journal of Experimental Psychology: Learning Memory and Cognition, (2017)

© 2017 APA, all rights reserved). Learning to choose adaptively when faced with uncertain and variable outcomes is a central challenge for decision makers. This study examines re... [more]

© 2017 APA, all rights reserved). Learning to choose adaptively when faced with uncertain and variable outcomes is a central challenge for decision makers. This study examines repeated choice in dynamic probability learning tasks in which outcome probabilities changed either as a function of the choices participants made or independently of those choices. This presence/absence of sequential choice-outcome dependencies was implemented by manipulating a single task aspect between conditions: the retention/withdrawal of reward across individual choice trials. The study addresses how people adapt to these learning environments and to what extent they engage in 2 choice strategies often contrasted as paradigmatic examples of striking violation of versus nominal adherence to rational choice: diversification and persistent probability maximizing, respectively. Results show that decisions approached adaptive choice diversification and persistence when sufficient feedback was provided on the dynamic rules of the probabilistic environments. The findings of divergent behavior in the 2 environments indicate that diversified choices represented a response to the reward retention manipulation rather than to the mere variability of outcome probabilities. Choice in both environments was well accounted for by the generalized matching law, and computational modeling-based strategy analyses indicated that adaptive choice arose mainly from reliance on reinforcement learning strategies. (PsycINFO Database Record

DOI 10.1037/xlm0000407
Co-authors Dvanravenzwaaij1
2017 van Ravenzwaaij D, Provost A, Brown SD, 'A confirmatory approach for integrating neural and behavioral data into a single model', Journal of Mathematical Psychology, 76 131-141 (2017)

© 2016 Elsevier Inc. Recent decades have witnessed amazing advances in both mathematical models of cognition and in the field of cognitive neuroscience. These developments were i... [more]

© 2016 Elsevier Inc. Recent decades have witnessed amazing advances in both mathematical models of cognition and in the field of cognitive neuroscience. These developments were initially independent of one another, but recently the fields have started to become interested in joining forces. The resulting joint modeling of behavioral and neural data can be difficult, but has proved fruitful. We briefly review different approaches used in decision-making research for linking behavioral and neural data, and also provide an example. Our example provides a tight link between behavioral data and evoked scalp potentials measured during mental rotation. The example model illustrates a powerful hypothesis-driven way of linking such data sets. We demonstrate the use of such a model, provide a model comparison against interesting alternatives, and discuss the conclusions that follow from applying such a joint model.

DOI 10.1016/j.jmp.2016.04.005
Citations Scopus - 2Web of Science - 2
Co-authors Alexander Provost, Dvanravenzwaaij1, Scott Brown
2017 Tillman G, Osth AF, van Ravenzwaaij D, Heathcote A, 'A diffusion decision model analysis of evidence variability in the lexical decision task', Psychonomic Bulletin and Review, 1-8 (2017)

© 2017 Psychonomic Society, Inc. The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both the signal-detection theory and Diffusion Decis... [more]

© 2017 Psychonomic Society, Inc. The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both the signal-detection theory and Diffusion Decision Model (DDM; Ratcliff, Gomez, & McKoon, Psychological Review, 111, 159¿182, 2004) frameworks, lexical-decisions are based on a continuous source of word-likeness evidence for both words and non-words. The Retrieving Effectively from Memory model of Lexical-Decision (REM¿LD; Wagenmakers et al., Cognitive Psychology, 48(3), 332¿367, 2004) provides a comprehensive explanation of lexical-decision data and makes the prediction that word-likeness evidence is more variable for words than non-words and that higher frequency words are more variable than lower frequency words. To test these predictions, we analyzed five lexical-decision data sets with the DDM. For all data sets, drift-rate variability changed across word frequency and non-word conditions. For the most part, REM¿LD¿s predictions about the ordering of evidence variability across stimuli in the lexical-decision task were confirmed.

DOI 10.3758/s13423-017-1259-y
Co-authors Dvanravenzwaaij1, Andrew Heathcote
2017 Van Ravenzwaaij D, Ioannidis JPA, 'A simulation study of the strength of evidence in the recommendation of medications based on two trials with statistically significant results', PLoS ONE, 12 (2017)

© This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful ... [more]

© This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. A typical rule that has been used for the endorsement of new medications by the Food and Drug Administration is to have two trials, each convincing on its own, demonstrating effectiveness. "Convincing" may be subjectively interpreted, but the use of p-values and the focus on statistical significance (in particular with p < .05 being coined significant) is pervasive in clinical research. Therefore, in this paper, we calculate with simulations what it means to have exactly two trials, each with p < .05, in terms of the actual strength of evidence quantified by Bayes factors. Our results show that different cases where two trials have a p-value below .05 have wildly differing Bayes factors. Bayes factors of at least 20 in favor of the alternative hypothesis are not necessarily achieved and they fail to be reached in a large proportion of cases, in particular when the true effect size is small (0.2 standard deviations) or zero. In a non-trivial number of cases, evidence actually points to the null hypothesis, in particular when the true effect size is zero, when the number of trials is large, and when the number of participants in both groups is low. We recommend use of Bayes factors as a routine tool to assess endorsement of new medications, because Bayes factors consistently quantify strength of evidence. Use of p-values may lead to paradoxical and spurious decision-making regarding the use of new medications.

DOI 10.1371/journal.pone.0173184
Co-authors Dvanravenzwaaij1
2017 van Ravenzwaaij D, Donkin C, Vandekerckhove J, 'The EZ diffusion model provides a powerful test of simple empirical effects', Psychonomic Bulletin and Review, 24 547-556 (2017)

© 2016, The Author(s). Over the last four decades, sequential accumulation models for choice response times have spread through cognitive psychology like wildfire. The most popul... [more]

© 2016, The Author(s). Over the last four decades, sequential accumulation models for choice response times have spread through cognitive psychology like wildfire. The most popular style of accumulator model is the diffusion model (Ratcliff Psychological Review, 85, 59¿108, 1978), which has been shown to account for data from a wide range of paradigms, including perceptual discrimination, letter identification, lexical decision, recognition memory, and signal detection. Since its original inception, the model has become increasingly complex in order to account for subtle, but reliable, data patterns. The additional complexity of the diffusion model renders it a tool that is only for experts. In response, Wagenmakers et al. (Psychonomic Bulletin & Review, 14, 3¿22, 2007) proposed that researchers could use a more basic version of the diffusion model, the EZ diffusion. Here, we simulate experimental effects on data generated from the full diffusion model and compare the power of the full diffusion model and EZ diffusion to detect those effects. We show that the EZ diffusion model, by virtue of its relative simplicity, will be sometimes better able to detect experimental effects than the data¿generating full diffusion model.

DOI 10.3758/s13423-016-1081-y
Citations Web of Science - 1
Co-authors Dvanravenzwaaij1
2016 Cramer AOJ, van Ravenzwaaij D, Matzke D, Steingroever H, Wetzels R, Grasman RPPP, et al., 'Hidden multiplicity in exploratory multiway ANOVA: Prevalence and remedies', PSYCHONOMIC BULLETIN & REVIEW, 23 640-647 (2016) [C1]
DOI 10.3758/s13423-015-0913-5
Citations Scopus - 9Web of Science - 15
Co-authors Dvanravenzwaaij1
2016 Luckman A, Newell BR, van Ravenzwaaij D, Kary A, Lewandowsky S, 'Discounting subjective and objective time: Implications for the immediacy, sign and magnitude effects. Manuscript submitted for publication', in press, .-. (2016)
Co-authors Dvanravenzwaaij1
2016 Van Ravenzwaaij D, Cassey P, Brown SD, 'A Simple Introduction to Markov Chain Monte-Carlo', JOURNAL OF MATHEMATICAL PSYCHOLOGY, --- (2016)
Citations Scopus - 3
Co-authors Scott Brown, Dvanravenzwaaij1
2016 Donkin C, Van Ravenzwaaij D, Hawkins GE, 'Developing a Program for Teaching Bayesian Statistics to Psychologists', Manuscript submitted for publication, --- (2016)
Co-authors Dvanravenzwaaij1
2016 Campbell L, Hanlon M-C, Cherrie G, Harvey C, Stain HJ, Cohen M, et al., 'Severity of Illness and Adaptive Functioning Predict Quality of Care of Children Among Parents with Psychotic Disorders: A Confirmatory Factor Analysis.', Manuscript submitted for publication, --- (2016)
Co-authors Dvanravenzwaaij1
2016 Field SM, Wagenmakers EJ, Newell BR, Zeelenberg R, van Ravenzwaaij D, 'Two Bayesian tests of the GLOMO

© 2016 American Psychological Association. Priming is arguably one of the key phenomena in contemporary social psychology. Recent retractions and failed replication attempts have... [more]

© 2016 American Psychological Association. Priming is arguably one of the key phenomena in contemporary social psychology. Recent retractions and failed replication attempts have led to a division in the field between proponents and skeptics and have reinforced the importance of confirming certain priming effects through replication. In this study, we describe the results of 2 preregistered replication attempts of 1 experiment by Förster and Denzler (2012). In both experiments, participants first processed letters either globally or locally, then were tested using a typicality rating task. Bayes factor hypothesis tests were conducted for both experiments: Experiment 1(N = 100) yielded an indecisive Bayes factor of 1.38, indicating that the in-lab data are 1.38 times more likely to have occurred under the null hypothesis than under the alternative. Experiment 2 (N = 908) yielded a Bayes factor of 10.84, indicating strong support for the null hypothesis that global priming does not affect participants' mean typicality ratings. The failure to replicate this priming effect challenges existing support for the GLOMO sys model.

DOI 10.1037/xge0000067
Co-authors Dvanravenzwaaij1
2015 van Ravenzwaaij D, Mulder MJ, Tuerlinckx F, Wagenmakers EJ, 'Paradoxes of optimal decision making: a response to Moran (2014)', Psychonomic Bulletin and Review, 22 307-308 (2015) [C3]
DOI 10.3758/s13423-014-0679-1
Co-authors Dvanravenzwaaij1
2015 Schulze C, van Ravenzwaaij D, Newell BR, 'Of matchers and maximizers: How competition shapes choice under risk and uncertainty', Cognitive Psychology, 78 78-98 (2015) [C1]

© 2015 Elsevier Inc. In a world of limited resources, scarcity and rivalry are central challenges for decision makers-animals foraging for food, corporations seeking maximal prof... [more]

© 2015 Elsevier Inc. In a world of limited resources, scarcity and rivalry are central challenges for decision makers-animals foraging for food, corporations seeking maximal profits, and athletes training to win, all strive against others competing for the same goals. In this article, we establish the role of competitive pressures for the facilitation of optimal decision making in simple sequential binary choice tasks. In two experiments, competition was introduced with a computerized opponent whose choice behavior reinforced one of two strategies: If the opponent probabilistically imitated participant choices, probability matching was optimal; if the opponent was indifferent, probability maximizing was optimal. We observed accurate asymptotic strategy use in both conditions irrespective of the provision of outcome probabilities, suggesting that participants were sensitive to the differences in opponent behavior. An analysis of reinforcement learning models established that computational conceptualizations of opponent behavior are critical to account for the observed divergence in strategy adoption. Our results provide a novel appraisal of probability matching and show how this individually 'irrational' choice phenomenon can be socially adaptive under competition.

DOI 10.1016/j.cogpsych.2015.03.002
Citations Scopus - 5Web of Science - 4
Co-authors Dvanravenzwaaij1
2014 van Ravenzwaaij D, Boekel W, Forstmann BU, Ratcliff R, Wagenmakers E-J, 'Action Video Games Do Not Improve the Speed of Information Processing in Simple Perceptual Tasks', JOURNAL OF EXPERIMENTAL PSYCHOLOGY-GENERAL, 143 1794-1805 (2014) [C1]
DOI 10.1037/a0036923
Citations Scopus - 21Web of Science - 15
Co-authors Dvanravenzwaaij1
2014 Van Ravenzwaaij D, Moore CP, Lee MD, Newell BR, 'A hierarchical bayesian modeling approach to searching and stopping in multi-attribute judgment', Cognitive Science, (2014) [C1]

In most decision-making situations, there is a plethora of information potentially available to people. Deciding what information to gather and what to ignore is no small feat. Ho... [more]

In most decision-making situations, there is a plethora of information potentially available to people. Deciding what information to gather and what to ignore is no small feat. How do decision makers determine in what sequence to collect information and when to stop? In two experiments, we administered a version of the German cities task developed by Gigerenzer and Goldstein (1996), in which participants had to decide which of two cities had the larger population. Decision makers were not provided with the names of the cities, but they were able to collect different kinds of cues for both response alternatives (e.g., "Does this city have a university?") before making a decision. Our experiments differed in whether participants were free to determine the number of cues they examined. We demonstrate that a novel model, using hierarchical latent mixtures and Bayesian inference (Lee & Newell, ) provides a more complete description of the data from both experiments than simple conventional strategies, such as the take-the-best or the Weighted Additive heuristics. © 2014 Cognitive Science Society, Inc.

DOI 10.1111/cogs.12119
Citations Scopus - 4Web of Science - 1
Co-authors Dvanravenzwaaij1
2014 Huizenga HM, van Duijvenvoorde ACK, van Ravenzwaaij D, Wetzels R, Jansen BRJ, 'Is the unconscious, if it exists, a superior decision maker?', Behav Brain Sci, 37 32-33 (2014) [C3]
DOI 10.1017/S0140525X13000769
Co-authors Dvanravenzwaaij1
2013 Newell BR, van Ravenzwaaij D, Donkin C, 'A quantum of truth? Querying the alternative benchmark for human cognition', Behavioral Brain Sciences, 36 300-302 (2013) [C3]
Co-authors Dvanravenzwaaij1
2013 Newell BR, Koehler DJ, James G, Rakow T, van Ravenzwaaij D, 'Probability matching in risky choice: The interplay of feedback and strategy availability', MEMORY & COGNITION, 41 329-338 (2013) [C1]
DOI 10.3758/s13421-012-0268-3
Citations Scopus - 11Web of Science - 9
Co-authors Dvanravenzwaaij1
2012 van Ravenzwaaij D, Mulder MJ, Tuerlinckx F, Wagenmakers EJ, 'Do the dynamics of prior information depend on task context? An analysis of optimal performance and an empirical test', Frontiers in Cognitive Science, 3:132 1-15 (2012) [C1]
Citations Scopus - 19Web of Science - 13
Co-authors Dvanravenzwaaij1
2012 Dutilh G, Van Ravenzwaaij D, Nieuwenhuis S, Van der Maas HLJ, Forstmann BU, Wagenmakers EJ, 'How to measure post-error slowing: A confound and a simple solution', Journal of Mathematical Psychology, 56 208-216 (2012) [C1]

In many response time tasks, people slow down after they make an error. This phenomenon of post-error slowing (PES) is thought to reflect an increase in response caution, that is,... [more]

In many response time tasks, people slow down after they make an error. This phenomenon of post-error slowing (PES) is thought to reflect an increase in response caution, that is, a heightening of response thresholds in order to increase the probability of a correct response at the expense of response speed. In many empirical studies, PES is quantified as the difference in response time (RT) between post-error trials and post-correct trials. Here we demonstrate that this standard measurement method is prone to contamination by global fluctuations in performance over the course of an experiment. Diffusion model simulations show how global fluctuations in performance can cause either spurious detection of PES or masking of PES. Both confounds are highly undesirable and can be eliminated by a simple solution: quantify PES as the difference in RT between post-error trials and the associated pre-error trials. Experimental data are used as an empirical illustration. © 2012 Elsevier Inc..

DOI 10.1016/j.jmp.2012.04.001
Citations Scopus - 57Web of Science - 53
Co-authors Dvanravenzwaaij1
2012 Van Ravenzwaaij D, Dutilh G, Wagenmakers EJ, 'A diffusion model decomposition of the effects of alcohol on perceptual decision making', Psychopharmacology, 219 1017-1025 (2012)

Rationale: Even in elementary cognitive tasks, alcohol consumption results in both cognitive and motor impairments (e.g., Schweizer and Vogel-Sprott, Exp Clin Psychopharmacol 16: ... [more]

Rationale: Even in elementary cognitive tasks, alcohol consumption results in both cognitive and motor impairments (e.g., Schweizer and Vogel-Sprott, Exp Clin Psychopharmacol 16: 240-250, 2008). Objectives: The purpose of this study is to quantify the latent psychological processes that underlie the alcohol-induced decrement in observed performance. Methods: In a double-blind experiment, we administered three different amounts of alcohol to participants on different days: a placebo dose (0 g/l), a moderate dose (0.5 g/l), and a high dose (1 g/l). Following this, participants performed a "moving dots" perceptual discrimination task. We analyzed the data using the drift diffusion model. Model parameters drift rate, boundary separation, and non-decision time allow a decomposition of the alcohol effect in terms of their respective cognitive components, that is, rate of information processing, response caution, and non-decision processes (e.g., stimulus encoding, motor processes). Results: We found that alcohol intoxication causes higher mean RTs and lower response accuracies. The diffusion model decomposition showed that alcohol intoxication caused a decrease in drift rate and an increase in non-decision time. Conclusions: In a simple perceptual discrimination task, even a moderate dose of alcohol decreased the rate of information processing and negatively affected the non-decision component. However, alcohol consumption left response caution largely intact. © 2011 The Author(s).

DOI 10.1007/s00213-011-2435-9
Citations Scopus - 21Web of Science - 22
Co-authors Dvanravenzwaaij1
2012 van Ravenzwaaij D, van der Maas HLJ, Wagenmakers EJ, 'Optimal decision making in neural inhibition models', Psychological Review, 119 201-215 (2012) [C1]
Citations Scopus - 17Web of Science - 15
Co-authors Dvanravenzwaaij1
2012 Huizenga HM, Wetzels R, van Ravenzwaaij D, Wagenmakers EJ, 'Four empirical tests of Unconscious Thought Theory', Organizational Behavior and Human Decision Processes, 117 332-340 (2012) [C1]
DOI 10.1016/j.obhdp.2011.11.010
Citations Scopus - 16Web of Science - 15
Co-authors Dvanravenzwaaij1
2011 van Ravenzwaaij D, van der Maas HLJ, Wagenmakers EJ, 'Does the Name-Race Implicit Association Test Measure Racial Prejudice?', Experimental Psychology, 58 271-277 (2011) [C1]
DOI 10.1027/1618-3169/a000093
Citations Scopus - 20Web of Science - 21
Co-authors Dvanravenzwaaij1
2011 Van Ravenzwaaij D, Brown SD, Wagenmakers E-J, 'An integrated perspective on the relation between response speed and intelligence', Cognition, 119 381-393 (2011) [C1]
DOI 10.1016/j.cognition.2011.02.002
Citations Scopus - 24Web of Science - 20
Co-authors Scott Brown, Dvanravenzwaaij1
2011 van Ravenzwaaij D, Dutilh G, Wagenmakers EJ, 'Cognitive model decomposition of the BART: Assessment and application', Journal of Mathematical Psychology, 55 94-105 (2011) [C1]
DOI 10.1016/j.jmp.2010.08.010
Citations Scopus - 25Web of Science - 20
Co-authors Dvanravenzwaaij1
2010 Keye D, Wilhelm O, Oberauer K, van Ravenzwaaij D, 'Erratum to Individual differences in conflict-monitoring: Testing means and covariance hypothesis about the Simon and the Eriksen Flanker task (Psychol Res, 10.1007/s00426-008-0188-9)', Psychological Research, 74 237-238 (2010)
DOI 10.1007/s00426-009-0257-8
Citations Scopus - 1
Co-authors Dvanravenzwaaij1
2009 Keye D, Wilhelm O, Oberauer K, van Ravenzwaaij D, 'Individual differences in conflict-monitoring: Testing means and covariance hypothesis about the Simon and the Eriksen flanker task', Psychological Research, 73 762-776 (2009) [C1]

Conflict and context slow-down have been proposed as indicators of a conflict-monitoring system that initiates cognitive control to resolve conflicts in information processing. We... [more]

Conflict and context slow-down have been proposed as indicators of a conflict-monitoring system that initiates cognitive control to resolve conflicts in information processing. We investigated individual differences in conflict-monitoring and their associations with working memory (WM) and impulsivity. A total of 150 adults completed a Simon and an Eriksen flanker task, together with measures of WM and impulsivity. On both tasks, responses were slower and less accurate on incompatible than on compatible trials (conflict effect), and the conflict effect was larger when the preceding trial was compatible than when it was incompatible (context effect). Stimulus repetition did not explain the context effect. Individual differences could be attributed to three separable factors for each task: general speeded performance, conflict effect, and context effect. Evidence for across-task generality of these factors was sparse. Associations of these factors with impulsivity were weak at best. WM was correlated with general speed, and also with some but not all factors reflecting conflict-related processes. © Springer-Verlag 2008.

DOI 10.1007/s00426-008-0188-9
Citations Scopus - 29Web of Science - 26
Co-authors Dvanravenzwaaij1
2009 van Ravenzwaaij D, Oberauer K, 'How to use the diffusion model: Parameter recovery of three methods: EZ, fast-dm, and DMAT', Journal of Mathematical Psychology, 53 463-473 (2009) [C1]
Citations Scopus - 32Web of Science - 30
Co-authors Dvanravenzwaaij1
2006 van Ravenzwaaij D, Hamel R, 'De Nederlandstalige WAIS-III na hernormering', De Psycholoog, 5 268-271 (2006)
Co-authors Dvanravenzwaaij1
Show 27 more journal articles

Conference (1 outputs)

Year Citation Altmetrics Link
2013 van Ravenzwaaij D, Newell BR, Moore CP, Lee MD, 'Using recognition in multi¿attribute decision environments', COGSCI 2013 (2013) [E2]
Co-authors Dvanravenzwaaij1
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Grants and Funding

Summary

Number of grants 4
Total funding $396,883

Click on a grant title below to expand the full details for that specific grant.


20143 grants / $392,883

How Do Our Past Decisions Affect Our Present Decisions? – An Innovative Model$384,183

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Doctor Don Van Ravenzwaaij
Scheme Discovery Early Career Researcher Award (DECRA)
Role Lead
Funding Start 2014
Funding Finish 2016
GNo G1301274
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

How is Response Competition Implemented in the Brain? – A Critical Test and an Innovative Model$5,000

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Doctor Don Van Ravenzwaaij
Scheme New Staff Grant
Role Lead
Funding Start 2014
Funding Finish 2014
GNo G1301325
Type Of Funding Internal
Category INTE
UON Y

How do our past decisions affect our present decisions? – An innovative model$3,700

Funding body: Keats Endowment Research Fund

Funding body Keats Endowment Research Fund
Project Team Doctor Don Van Ravenzwaaij
Scheme Research Grant
Role Lead
Funding Start 2014
Funding Finish 2014
GNo G1400276
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

20121 grants / $4,000

Faculty ECR Visiting Fellowship 2013$4,000

Funding body: University of Newcastle - Faculty of Science & IT

Funding body University of Newcastle - Faculty of Science & IT
Project Team Doctor Don Van Ravenzwaaij
Scheme ECR Visiting Fellowship
Role Lead
Funding Start 2012
Funding Finish 2012
GNo G1401120
Type Of Funding Internal
Category INTE
UON Y
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Research Supervision

Number of supervisions

Completed1
Current0

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2017 PhD Advancing Methods and Mathematical Models of Perceptual Decision Making PhD (Psychology - Science), Faculty of Science, The University of Newcastle Co-Supervisor
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Research Collaborations

The map is a representation of a researchers co-authorship with collaborators across the globe. The map displays the number of publications against a country, where there is at least one co-author based in that country. Data is sourced from the University of Newcastle research publication management system (NURO) and may not fully represent the authors complete body of work.

Country Count of Publications
Netherlands 20
Australia 14
United Kingdom 5
Germany 4
United States 4
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Dr Don Van Ravenzwaaij

Position

Conjoint Lecturer
-
School of Psychology
Faculty of Science

Contact Details

Email don.vanravenzwaaij@newcastle.edu.au
Phone (02) 4921 5662
Mobile -

Office

Room AVG.11
Building Aviation Building
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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