A5041903789- Neural and Behavioral Psychology Studies
- Mental Health Research Topics
- Decision-Making and Behavioral Economics
- Statistical Methods and Bayesian Inference
- Bayesian Modeling and Causal Inference
- Memory Processes and Influences
- Meta-analysis and systematic reviews
- Child and Animal Learning Development
- Cognitive Science and Mapping
- Neural dynamics and brain function
- Forecasting Techniques and Applications
- Sensory Analysis and Statistical Methods
- Optimal Experimental Design Methods
- Visual perception and processing mechanisms
- Cognitive and developmental aspects of mathematical skills
- Neural Networks and Applications
- Reading and Literacy Development
- Mathematics Education and Teaching Techniques
- Statistical Methods in Clinical Trials
- Deception detection and forensic psychology
- Data Analysis with R
- Philosophy and History of Science
- Psychometric Methodologies and Testing
- Memory and Neural Mechanisms
- Advanced Statistical Methods and Models
University of California, Irvine
1996-2025
University of Mannheim
2021-2022
Irvine University
2017-2019
University of Missouri
2010-2019
Cardiff University
2018
National University of Singapore
2017
University of Missouri System
2009-2013
DePaul University
2008
University of Groningen
2008
Northwestern University
1999
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...
The diffusion model for two-choice real-time decisions is applied to four psychophysical tasks. reveals how stimulus information guides and shows the processed through time yield sometimes correct incorrect decisions. Rapid multiple empirical measures: response times error responses, probabilities of a variety interactions between accuracy that depend on instructions task difficulty. can explain all these aspects data experiments we present. correctly accounts times, something previous...
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...
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
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...
"We propose to change the default P-value threshold forstatistical significance for claims of new discoveries from 0.05 0.005."
The diffusion model developed by R. Ratcliff (1978, 1981, 1985, 1988) for 2-choice decisions was applied to data from 2 letter identification experiments. In the experiments, stimulus letters were displayed and then masked, onset asynchrony between mask manipulated vary accuracy near chance ceiling. A standard reaction time procedure used in one experiment a deadline other. Two hypotheses about effect of masking on information provided decision process contrasted: (a) output perception...