A5028544438- Mental Health Research Topics
- Bayesian Modeling and Causal Inference
- Neural and Behavioral Psychology Studies
- Statistical Methods and Bayesian Inference
- Meta-analysis and systematic reviews
- Statistical Methods in Clinical Trials
- Philosophy and History of Science
- Optimal Experimental Design Methods
- Decision-Making and Behavioral Economics
- Advanced Statistical Methods and Models
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Behavioral Health and Interventions
- Neural Networks and Applications
- Forecasting Techniques and Applications
- Memory Processes and Influences
- Sensory Analysis and Statistical Methods
- Statistical Methods and Inference
- Statistics Education and Methodologies
- Child and Animal Learning Development
- Gaussian Processes and Bayesian Inference
- Mind wandering and attention
- Paranormal Experiences and Beliefs
- Advanced Statistical Modeling Techniques
- Data Analysis with R
Cardiff University
2015-2024
University of Wales Institute Cardiff
2016-2022
KU Leuven
2018
University of Groningen
1920-2017
Google (United States)
2017
Instituto de Investigaciones Psicológicas
2009-2012
University of Missouri
2004-2009
University of Virginia
1986
General Motors (United States)
1983-1986
Stanford University
1983-1986
Presenting confidence intervals around means is a common method of expressing uncertainty in data.Loftus and Masson (1994) describe for within-subjects designs.These are based on the ANOVA mean squared error.Cousineau (2005) presents an alternative to Loftus method, but his produces that smaller than those Masson.I show why this case offer simple correction makes expected size Cousineau same as intervals.
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...
Twenty-nine teams involving 61 analysts used the same data set to address research question: whether soccer referees are more likely give red cards dark-skin-toned players than light-skin-toned players. Analytic approaches varied widely across teams, and estimated effect sizes ranged from 0.89 2.93 ( Mdn = 1.31) in odds-ratio units. Twenty (69%) found a statistically significant positive effect, 9 (31%) did not observe relationship. Overall, 29 different analyses 21 unique combinations of...
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...
Interval estimates – of parameters that include an allowance for sampling uncertainty have long been touted as a key component statistical analyses. There are several kinds interval estimates, but the most popular confidence intervals (CIs): contain true parameter value in some known proportion repeated samples, on average. The width is thought to index precision estimate; CIs be guide which values plausible or reasonable; and coefficient (e.g., 95 %) plausibility included interval. We show...
Psychological theories are statements of constraint. The role hypothesis testing in psychology is to test whether specific theoretical constraints hold data. Bayesian statistics well suited the task finding supporting evidence for constraint, because it allows comparing 2 hypotheses against each another. One issue that may only approximately rather than exactly, and reason small deviations be trivial or uninteresting. In large-sample limit, these uninteresting, lead rejection a useful this...
In this article, we present a Bayes factor solution for inference in multiple regression. factors are principled measures of the relative evidence from data various models or positions, including that embed null hypotheses. regard, they may be used to state positive lack an effect, which is not possible conventional significance testing. One obstacle adoption psychological science guidance and software. Recently, Liang, Paulo, Molina, Clyde, Berger (2008) developed computationally attractive...
Visual working memory is often modeled as having a fixed number of slots. We test this model by assessing the receiver operating characteristics (ROC) participants in visual-working-memory change-detection task. ROC plots yielded straight lines with slope 1.0, tell-tale characteristic all-or-none mnemonic representations. Formal assessment evidence highly consistent discrete fixed-capacity for
The practical advantages of Bayesian inference are demonstrated here through two concrete examples. In the first example, we wish to learn about a criminal’s IQ: problem parameter estimation. second quantify and track support in favor null hypothesis that Adam Sandler movies profitable regardless their quality: testing. approach unifies both problems within coherent predictive framework, which parameters models predict data successfully receive boost plausibility, whereas poorly suffer...
This article provides a Bayes factor approach to multiway analysis of variance (ANOVA) that allows researchers state graded evidence for effects or invariances as determined by the data. ANOVA is conceptualized hierarchical model where levels are clustered within factors. The development comprehensive in it includes factors fixed and random within-subjects, between-subjects, mixed designs. Different construction comparison strategies discussed, an example provided. We show how may be...
Although the measurement of working memory capacity is crucial to understanding and its interaction with other cognitive faculties, there are inconsistencies in literature on how measure capacity. We address change detection paradigm, popularized by Luck Vogel (Nature, 390, 279-281, 1997). Two measures for this task-from Pashler (Perception & Psychophysics, 44, 369-378, 1988) Cowan (The Behavioral Brain Sciences, 24, 87-114, 2001), respectively-have been used interchangeably, even though...
A core aspect of science is using data to assess the degree which provide evidence for competing claims, hypotheses, or theories. Evidence by definition something that should change credibility a claim in reasonable person's mind. However, common statistics, such as significance testing and confidence intervals have no interface with concepts belief, thus it unclear how they relate statistical evidence. We explore concept evidence, can be quantified Bayes factor. also discuss philosophical...
Abstract The Action-sentence Compatibility Effect (ACE) is a well-known demonstration of the role motor activity in comprehension language. Participants are asked to make sensibility judgments on sentences by producing movements toward body or away from body. ACE finding that faster when direction movement (e.g., ) matches action to-be-judged sentence Art gave you pen describes you). We report pre-registered, multi-lab replication one version ACE. results show none 18 labs involved study...
The analysis of R×C contingency tables usually features a test for independence between row and column counts. Throughout the social sciences, adequacy hypothesis is generally evaluated by outcome classical p-value null-hypothesis significance test. Unfortunately, however, comes with number well-documented drawbacks. Here we outline an alternative, Bayes factor method to quantify evidence against in tables. First describe different sampling models provide corresponding default factors as...