A5034870294- Neural and Behavioral Psychology Studies
- Mental Health Research Topics
- Decision-Making and Behavioral Economics
- Cognitive Science and Mapping
- Statistical Methods and Bayesian Inference
- Functional Brain Connectivity Studies
- Meta-analysis and systematic reviews
- Bayesian Modeling and Causal Inference
- Neural dynamics and brain function
- Statistical Methods in Clinical Trials
- EEG and Brain-Computer Interfaces
- Behavioral and Psychological Studies
- Human-Automation Interaction and Safety
- Behavioral Health and Interventions
- Cognitive Abilities and Testing
- Economic and Environmental Valuation
- Innovation Diffusion and Forecasting
- Advanced Statistical Methods and Models
- Sensory Analysis and Statistical Methods
- scientometrics and bibliometrics research
- Optimal Experimental Design Methods
- Psychometric Methodologies and Testing
- Neuroscience and Neural Engineering
- Statistical Methods and Inference
- Muscle activation and electromyography studies
University of Amsterdam
2016-2025
Amsterdam University of the Arts
2013-2024
Hologic (Germany)
2023
University of Tasmania
2018-2023
University of Newcastle Australia
2023
Neuroscience Research Australia
2021
University of Utah
2019
King's College Hospital
2018
Bayesian hypothesis testing presents an attractive alternative to p value testing. Part I of this series outlined several advantages testing, including the ability quantify evidence and monitor update as data come in, without need know intention with which were collected. Despite these other practical advantages, tests are still reported relatively rarely. An important impediment widespread adoption is arguably lack user-friendly software for run-of-the-mill statistical problems that...
Bayesian parameter estimation and hypothesis testing present attractive alternatives to classical inference using confidence intervals p values. In part I of this series we outline ten prominent advantages the approach. Many these translate concrete opportunities for pragmatic researchers. For instance, allows researchers quantify evidence monitor its progression as data come in, without needing know intention with which were collected. We end by countering several objections testing. Part...
Abstract Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply procedures and interpret results. Here we offer specific four different stages statistical reasoning a research setting: planning analysis, executing interpreting results, reporting The each stage are illustrated with running example. Although geared towards analyses performed open-source software JASP, most extend general.
Response inhibition is essential for navigating everyday life. Its derailment considered integral to numerous neurological and psychiatric disorders, more generally, a wide range of behavioral health problems. Response-inhibition efficiency furthermore correlates with treatment outcome in some these conditions. The stop-signal task an tool determine how quickly response implemented. Despite its apparent simplicity, there are many features (ranging from design data analysis) that vary across...
This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables. JASP is open-source differentiates itself from existing solutions in two ways. First, provides several innovations user interface design; specifically, results are provided immediately the makes changes to options, output attractive, minimalist, designed around principle progressive disclosure, can be peer...
Many psychologists do not realize that exploratory use of the popular multiway analysis variance harbors a multiple-comparison problem. In case two factors, three separate null hypotheses are subject to test (i.e., main effects and one interaction). Consequently, probability at least Type I error (if all true) is 14 % rather than 5 %, if tests independent. We explain problem demonstrate researchers almost never correct for it. To mitigate problem, we describe four remedies: omnibus F test,...
The marginal likelihood plays an important role in many areas of Bayesian statistics such as parameter estimation, model comparison, and averaging. In most applications, however, the is not analytically tractable must be approximated using numerical methods. Here we provide a tutorial on bridge sampling (Bennett, 1976; Meng & Wong, 1996), reliable relatively straightforward method that allows researchers to obtain for models varying complexity. First, introduce three related methods...
L’analyse de variance (ANOVA) est la procédure standard utilisée pour l’inférence statistique dans les plans factoriels. En règle générale, analyses sont exécutées à l’aide statistiques fréquentistes, où valeurs p déterminent significativité en termes « tout ou rien ». Ces dernières années, l’approche bayésienne inférentielle plus considérée comme une alternative légitime valeur . Toutefois, l’adoption généralisée des bayésiennes, et particulier l’ANOVA bayésienne, limitée par le fait que...
According to a recent meta-analysis, religious priming has positive effect on prosocial behavior (Shariff et al., 2015). We first argue that this meta-analysis suffers from number of methodological shortcomings limit the conclusions can be drawn about potential benefits priming. Next we present re-analysis data using two different meta-analytic techniques. A PET-PEESE suggests is driven solely by publication bias. In contrast, an analysis Bayesian bias correction presence effect, even after...
Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply procedures and interpret results. Here we offer specific four different stages statistical reasoning a research setting: planning analysis, executing interpreting results, reporting The each stage are illustrated with running example. Although geared toward analyses performed open-source software JASP, most extend general.
Parameter estimation in evidence-accumulation models of choice response times is demanding both the data and user. We outline how to fit using flexible, open-source, R-based Dynamic Models Choice (DMC) software. DMC provides a hands-on introduction Bayesian implementation two popular models: diffusion decision model (DDM) linear ballistic accumulator (LBA). It enables individual hierarchical estimation, as well assessment quality model's parameter estimates descriptive accuracy. First, we...
Response inhibition is frequently investigated using the stop-signal paradigm, where participants perform a two-choice response time task that occasionally interrupted by stop signal instructing them to withhold their response. Stop-signal performance formalized as race between go and process. If process wins, executed; if inhibited. Successful requires fast responses high probability of triggering Existing methods allow for estimation latency response, but are unable identify deficiencies...
The cognitive concept of response inhibition can be measured with the stop-signal paradigm. In this paradigm, participants perform a 2-choice time (RT) task where, on some trials, primary is interrupted by stop signal that prompts to withhold their response. dependent variable interest latency unobservable (stop-signal reaction time, or SSRT). Based horse race model (Logan & Cowan, 1984), several methods have been developed estimate SSRTs. None these approaches allow for accurate estimation...
A growing body of research has suggested that horizontal saccadic eye movements facilitate the retrieval episodic memories in free recall and recognition memory tasks. Nevertheless, a minority studies have failed to replicate this effect. This article attempts resolve inconsistent results by introducing novel variant proponent-skeptic collaboration. The proposed approach combines features adversarial collaboration purely confirmatory preregistered research. Prior data collection, adversaries...
Analysis of variance (ANOVA) is the standard procedure for statistical inference in factorial designs. Typically, ANOVAs are executed using frequentist statistics, where p-values determine significance an all-or-none fashion. In recent years, Bayesian approach to statistics increasingly viewed as a legitimate alternative p-value. However, broad adoption –and ANOVA particular– frustrated by fact that concepts rarely taught applied courses. Consequently, practitioners may be unsure how conduct...
Any large dataset can be analyzed in a number of ways, and it is possible that the use different analysis strategies will lead to results conclusions. One way assess whether obtained depend on strategy chosen employ multiple analysts leave each them free follow their own approach. Here, we present consensus-based guidance for conducting reporting such multi-analyst studies, discuss how broader adoption approach has potential strengthen robustness conclusions from analyses datasets basic...
For most researchers, academic publishing serves two goals that are often misaligned—knowledge dissemination and establishing scientific credentials. While both can encourage research with significant depth scope, the latter also pressure scholars to maximize publication metrics. Commercial companies have capitalized on centrality of enterprises knowledge recognition extract large profits from academia by leveraging unpaid services reviewers, creating financial barriers dissemination,...