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

Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.3K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.3K
Weighted Mean00:57

Weighted Mean

4.9K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
4.9K
Randomized Experiments01:13

Randomized Experiments

6.7K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
6.7K

You might also read

Related Articles

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

Sort by
Same author

At-Home Auditory Assessment Using Portable Automated Rapid Testing (PART) to Understand Self-Reported Hearing Difficulties.

Trends in hearing·2025
Same author

Mathematical tools for the design and accurate reporting of transformed up-and-down staircases (L).

The Journal of the Acoustical Society of America·2025
Same author

Alignment of Audiologists' Values With Best-Practice Standards: Insights From a National Survey.

American journal of audiology·2024
Same author

Over-the-Counter Hearing Aids Challenge the Core Values of Traditional Audiology.

Journal of speech, language, and hearing research : JSLHR·2024
Same author

Core Values in the Traditional Provision of Hearing Health Care.

Journal of speech, language, and hearing research : JSLHR·2023
Same author

FORUM: Remote testing for psychological and physiological acoustics.

The Journal of the Acoustical Society of America·2022

Related Experiment Video

Updated: Jun 2, 2025

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.0K

Target an arbitrary probability of response using weighted staircase procedures.

Eric C Hoover1

  • 1Department of Hearing and Speech Sciences, University of Maryland, College Park, Maryland 20742, USA.

The Journal of the Acoustical Society of America
|January 14, 2025
PubMed
Summary
This summary is machine-generated.

A new correction effectively eliminates bias in weighted staircase procedures, enabling precise threshold estimation in psychometric testing. This method improves accuracy for various tasks and functions.

More Related Videos

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.6K
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

6.9K

Related Experiment Videos

Last Updated: Jun 2, 2025

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform
06:31

Estimating Vestibular Perceptual Thresholds Using a Six-Degree-Of-Freedom Motion Platform

Published on: August 4, 2022

3.0K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.6K
Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

6.9K

Area of Science:

  • Psychophysics
  • Auditory Perception
  • Quantitative Psychology

Background:

  • Weighted up-and-down procedures are common in audiometry for threshold estimation.
  • These procedures allow targeting specific response probabilities using varied step sizes.
  • A known signed mean error previously limited their use.

Purpose of the Study:

  • To evaluate a proposed correction for eliminating bias in weighted staircase procedures.
  • To assess the correction's effectiveness across different tasks and psychometric functions.

Main Methods:

  • Monte Carlo simulations were employed to test the correction.
  • Simulations included yes-no and forced-choice tasks.
  • Gaussian and log-Weibull psychometric functions were utilized.

Main Results:

  • The correction effectively eliminated bias with symmetric psychometric functions.
  • Effectiveness varied with step size magnitudes and ratios.
  • Less effective with asymmetric functions or high guess/lapse rates.

Conclusions:

  • The proposed correction successfully addresses the bias in weighted staircases.
  • This facilitates the use of weighted staircases for arbitrary probability threshold estimation.
  • The method shows promise for improving psychometric measurement accuracy.