0000-0001-5908-0402
A practical introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations
robustclearexciting
Investigating the negative link between perfectionism and emotional divergent thinking
Anchors and ratios to quantify and explain y-axis distortion effects in graphs.
Exploring Creative Spaces Predict Domain‐Specific Creative Achievements
Do students motivated to learn have better creative abilities?
Analyses of response time data in the same–different task.
The Profiles of Creative Students
Is the fast-same phenomenon that fast? An investigation of identity priming in the same-different task.
Is perfectionism a killer of creative thinking? A test of the model of excellencism and perfectionism
Summary Plots With Adjusted Error Bars: The superb Framework With an Implementation in R
The cognitive architecture of processes responsible to assess similarity and clarity in a comparison task
Cognitive architecture and capacity of the cognitive system responsible for Same – Different judgments
How many decimals? Rounding descriptive and inferential statistics based on measurement precision
Project DyAdd: Non-linguistic Theories of Dyslexia Predict Intelligence
The fast-same effect of an exclusive-OR task
Into the mind's eye: Exploring the fast-same effect in the same-different task
Sequential Sampling Models of Same-Different Data and How They Explain the Fast-Same Effect
Statistiques
Can categorical knowledge be used in visual search?
Manipulating the alpha level cannot cure significance testing
ivote: A simple system to conduct polls and quiz in class settings
Applying Systems Factorial Technology to Accumulators with Varying Thresholds
Are recurrent associative memories good models of decision making? Modelling discrimination decisions from different perspectives
Canadian Normative Data for Minimal Assessment of Cognitive Function in Multiple Sclerosis
Corrigendum: Canadian normative data for minimal assessment of cognitive function in multiple sclerosis (Canadian Journal of Neurological Sciences (2017) 44:5 (547-555) DOI: 10.1017/cjn.2017.199)
Validation of the French version of the Statistics Anxiety Questionnaire (SAS-F-24),Validation de la version francophone du Questionnaire d'anxiété statistique (SAS-F-24)
Varieties of confidence intervals
Perspectives on the Use of Null Hypothesis Statistical Testing. Part III: The Various Nuts and Bolts of Statistical and Hypothesis Testing
Perspectives on the Use of Null Hypothesis Statistical Testing. Part I: The Mighty Frames of Scientific and Statistical Inference
Perspectives on the Use of Null Hypothesis Statistical Testing. Part II: Is Null Hypothesis Statistical Testing an Irregular Bulk of Masonry?
The Companion paper as a complement to regular papers
GSD: An SPSS extension command for sub-sampling and bootstrapping datasets
An Unbiased Estimate of Global Interrater Agreement
Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS): Canadian contribution to the international validation project
Les dix commandements du nouvel homo statisticus
An extended SPSS extension command for generating random data
Erratum to "Representing Error bars in within-subject designs in typical software packages"
Errata to Non-central t distribution and the power of the t test: A rejoinder
The standard error of the Pearson skew
On the efficacy of procedures to normalize Ex-Gaussian distributions
A Correction Factor for the Impact of Cluster Randomized Sampling and Its Applications.
A Ratio Test of Interrater Agreement With High Specificity
Constructing a Group Distribution From Individual Distributions.
Differential effect of visual masking in perceptual categorization.
Likelihood and its use in Parameter Estimation and Model Comparison
GRD: An SPSS extension command for generating random data
Restoring confidence in psychological science findings: A call for direct replication studies
Standard errors: A review and evaluation of standard error estimators using Monte Carlo simulations
Outstanding Data sets: A new category of articles that promotes modelling published in the Quantitative Methods for Psychology
Representing Error bars in within-subject designs in typical software packages
Error bars in within-subject designs: a comment on Baguley (2012)
Maximum likelihood estimators for truncated and censored power-law distributions show how neuronal avalanches may be misevaluated
System Factorial Technology Applied to Artificial Neural Network Information Processing
Improving maximum likelihood estimation using prior probabilities: A tutorial on maximum a posteriori estimation and an examination of the weibull distribution
Triple redundant signals effect in the visual modality
Learning curves as strong evidence for testing models: The case of EBRW
Controlling Robots Built with the LEGO® MINDSTORMS® NXT Brick
Erratum to Cousineau (2005): Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson’s method
Project DyAdd: Visual attention in adult dyslexia and ADHD
A multi-state model of cortical memory
Non-central t distribution and the power of the t test: A rejoinder
Randomization test of mean is compuationally inaccessible when the number of groups exceeds two
Computing Mixed-Design (Split-Plot) ANOVA
The fallacy of large shape parameters when using the two-parameter weibull distribution
Using Mathematica within E-Prime
Fitting the three-parameter weibull distribution: review and evaluation of existing and new methods
Nearly unbiased estimators for the three-parameter Weibull distribution with greater efficiency than the iterative likelihood method
Fitting the three-parameter weibull distribution: Review and evaluation of existing and new methods
How to use MATLAB to fit the ex-Gaussian and other probability functions to a distribution of response times
Does training under consistent mapping conditions lead to automatic attention attraction to targets in search tasks?
Computing the power of a t test
Using knowledge partitioning to investigate the psychological plausibility of mixtures of experts
Implementing and evaluating the nested maximum likelihood estimation technique
Getting parameters from learning data
The introduction to the special issue on "RT(N) = a + b N-c: The power law of learning 25 years later"
Parameterizing the attentional blink effect.
Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson's method
The rise of quantitative methods in Psychology
Attentional blink differences between adolescent dyslexic and normal readers
DEFINITIONS IN CATEGORIZATION AND SIMILARITY JUDGMENTS
Definitions in Categorization and Similarity Judgments
Learning of an XOR problem in the presence of noise and redundancy
Fitting distributions using maximum likelihood: Methods and packages
Merging race models and adaptive networks: A parallel race network
Termination of a visual search with large display size effects
QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound
Visual-memory search: An integrative perspective
Testing curvatures of learning functions on individual trial and block average data
Redefining the rules: Providing race models with a connectionist learning rule
Extending Statistics of Extremes to Distributions Varying in Position and Scale and the Implications for Race Models
Learrning categorization mapping with a race model
PASTIS: A program for curve and distribution analyses
Asynchronous Presentation and Capacity Issue: The ABC of Visual Search
Comparative study between empirical data and a neural network modelization of category learning
Consistency Is Not Necessary for Automatization
Evidence for Parallel Coactivation With Double and Triple Redundant Targets
Expertise and Organization of Knowledge
Fitting the parallel race network to dot-pattern classification data
High Overlap Between T1 and T2 Reduces the Attentional Blink Effect
Label Enhancement Effect in Categorization and Perception
Limits of Coactivation: Redundancy Gain in Three-Dimensional Visual Stimuli
Modeling RT in guided visual search
Prototype formation and central tendencies: Questioning the use of the mean
Representing Implicit Categories: Are Labels Symbols or Stimuli
Responding in the Absence of Information: A Race Network Account
Same-different, cue validity, and detection tasks fitted by a parallel race model: The ubiquitous presence of priming
Testing Inter-Rater Agreement
The Impact of Extensive Training and Large Categories on Performance in the Dot-Pattern Classification Paradigm
The prototype enhancement effect strikes back: Beta version
0000-0001-5908-0402
Professeur, École de psychologie, Université d'Ottawa
Professeur, École de psychologie, Université d'Ottawa