Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Measuring Reaction Rates03:09

Measuring Reaction Rates

Polarimetry finds application in chemical kinetics to measure the concentration and reaction kinetics of optically active substances during a chemical reaction. Optically active substances have the capability of rotating the plane of polarization of linearly polarized light passing through them—a feature called optical rotation. Optical activity is attributed to the molecular structure of substances. Normal monochromatic light is unpolarized and possesses oscillations of the electrical field in...
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
Fast Reactions01:27

Fast Reactions

Fast reactions occurring in times shorter than the time needed to mix reactants pose a unique challenge for investigation. In a liquid-phase continuous-flow system, reactants A and B are swiftly pushed into the mixing chamber, where mixing occurs within 1 ms. The reaction mixture then flows through an observation tube, and one measures light absorption to determine species concentrations at various points of the tube. This method is most appropriate when relatively large volumes of reactants...
Choosing Between z and t Distribution01:25

Choosing Between z and t Distribution

The z and the Student t distribution estimate the population mean using the sample mean and standard deviation. However, to decide which distribution to use for a calculation, one needs to determine the sample size, the nature of the distribution, and whether the population standard deviation is known. If the population standard deviation is known and the population is normally distributed, or if the sample size is greater than 30, the z distribution is preferred. The Student t distribution is...
Noncompartmental Analysis: Statistical Moment Theory00:56

Noncompartmental Analysis: Statistical Moment Theory

Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multi-faceted intervention to improve management of antibiotics for children presenting to primary care with acute cough and respiratory tract infection (CHICO): efficient cluster randomised controlled trial.

BMJ (Clinical research ed.)·2023
Same author

An unusual cause of a postpartum headache.

British journal of hospital medicine (London, England : 2005)·2021
Same author

Guideline for the management of hip fractures 2020: Guideline by the Association of Anaesthetists.

Anaesthesia·2020
Same author

Radiation protection value to the operator from augmented reality smart glasses in interventional fluoroscopy procedures using phantoms.

Radiography (London, England : 1995)·2019
Same author

Processing transcutaneous electromyography measurements of respiratory muscles, a review of analysis techniques.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology·2019
Same author

The Effects of Sperm Concentration, Sperm:Egg Ratio, and Gamete Age on Fertilization Success in Crown-of-Thorns Starfish (Acanthaster planci) in the Laboratory.

The Biological bulletin·2017

Related Experiment Video

Updated: May 19, 2026

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
09:12

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

Published on: March 17, 2019

Assessing the evidence for response time mixture distributions.

P Dixon1

  • 1Department of Psychology, University of Alberta, Edmonton, AB, Canada. peter.dixon@ualberta.ca

Behavior Research Methods
|August 21, 2012
PubMed
Summary
This summary is machine-generated.

A new multinomial likelihood index effectively distinguishes between mixture and generalized-shift models for response time distributions. This tool aids in interpreting cognitive task effects on reaction times.

More Related Videos

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

Related Experiment Videos

Last Updated: May 19, 2026

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats
09:12

Three Laboratory Procedures for Assessing Different Manifestations of Impulsivity in Rats

Published on: March 17, 2019

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
08:13

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

Published on: May 10, 2019

Area of Science:

  • Cognitive Psychology
  • Psychometrics
  • Computational Neuroscience

Background:

  • Response time distributions are crucial for understanding cognitive processes.
  • Distinguishing between mixture and generalized-shift models is challenging but important for accurate interpretation.
  • Existing methods may lack the sensitivity or applicability across various experimental paradigms.

Purpose of the Study:

  • To introduce and validate a novel multinomial likelihood index for comparing mixture and generalized-shift models of response time distributions.
  • To assess the index's performance under various simulation conditions, including sample size and data spread.
  • To demonstrate the index's utility in interpreting real-world cognitive data from distinct experimental paradigms.

Main Methods:

  • Developed a technique using quantiles to estimate target distributions under shift or mixture assumptions.
  • Calculated the multinomial likelihood of observed data based on predicted quantiles.
  • Employed Monte Carlo simulations to evaluate the index's properties (bias, sensitivity, robustness).

Main Results:

  • The multinomial likelihood index is relatively unbiased and effective with moderate sample sizes.
  • The index is robust to changes in bin number, data trimming, and subject variations.
  • Demonstrated successful application to residual switch costs, psychological refractory period, and Simon task effects.

Conclusions:

  • The multinomial likelihood index is a valuable and user-friendly tool for analyzing response time distributions.
  • This method facilitates a more precise interpretation of cognitive effects impacting reaction times.
  • The index offers a reliable approach for researchers across different experimental paradigms.