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

Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

387
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
387
Reliability and Validity01:29

Reliability and Validity

13.8K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
13.8K
Time and frequency -Domain Interpretation of PI Control01:27

Time and frequency -Domain Interpretation of PI Control

404
Proportional-Integral (PI) controllers are essential in many control systems to improve stability and performance. They are commonly used in everyday devices like thermostats to enhance system damping and reduce steady-state error. When the zero in the controller's transfer function is optimally placed, the system benefits significantly in terms of stability and accuracy.
Acting as a low-pass filter, the PI controller slows the system's response and extends settling times. This requires...
404
Time and frequency -Domain Interpretation of Phase-lead Control01:24

Time and frequency -Domain Interpretation of Phase-lead Control

437
Phase-lead controllers are commonly used in various control systems to enhance response speed and stability. Adjusting the brightness on a television screen offers a practical example of phase-lead control. When contrast is enhanced, a phase-lead controller is employed. Mathematically, phase-lead control is identified when the first parameter is smaller than the second.
The design of phase-lead control involves the strategic placement of poles and zeros to balance steady-state error and system...
437
Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

400
Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
400
Introduction to z Scores01:06

Introduction to z Scores

11.0K
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
11.0K

You might also read

Related Articles

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

Sort by
Same author

Behavioral trace data in an online learning environment as indicators of learning engagement in university students.

Frontiers in psychology·2024
Same author

Changes in the Speed-Ability Relation Through Different Treatments of Rapid Guessing.

Educational and psychological measurement·2023
Same author

Disengaged response behavior when the response button is blocked: Evaluation of a micro-intervention.

Frontiers in psychology·2022
Same author

General cognitive ability assessment in the German National Cohort (NAKO) - The block-adaptive number series task.

The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry·2022
Same author

On the Speed Sensitivity Parameter in the Lognormal Model for Response Times and Implications for High-Stakes Measurement Practice.

Applied psychological measurement·2021
Same author

Evaluation of Online Information in University Students: Development and Scaling of the Screening Instrument EVON.

Frontiers in psychology·2021

Related Experiment Video

Updated: Jan 23, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

820

Validating Test Score Interpretations Using Time Information.

Lena Engelhardt1, Frank Goldhammer1,2

  • 1DIPF - Leibniz Institute for Research and Information in Education, Frankfurt, Germany.

Frontiers in Psychology
|June 18, 2019
PubMed
Summary

This study introduces a new approach to test score validity using processing times. It found that specific cognitive skills, like word activation for reading, accurately predict performance speed and ability, supporting the method.

Keywords:
component skillsprocessing timesspeedtime on task effectvalidity evidence based on response processes

More Related Videos

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
15:49

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System

Published on: October 16, 2013

32.6K
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.6K

Related Experiment Videos

Last Updated: Jan 23, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

820
Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System
15:49

Flexible Colonoscopy in Mice to Evaluate the Severity of Colitis and Colorectal Tumors Using a Validated Endoscopic Scoring System

Published on: October 16, 2013

32.6K
The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
06:05

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time

Published on: February 19, 2021

1.6K

Area of Science:

  • Psychometrics
  • Cognitive Psychology
  • Educational Measurement

Background:

  • Traditional validity approaches often rely on correlations between test scores.
  • Processing times offer a more direct measure of cognitive processes underlying task performance.
  • Integrating processing times can enhance the construct interpretation of test scores.

Purpose of the Study:

  • To propose and validate a novel approach for collecting construct validity evidence using processing times.
  • To demonstrate how processing times can differentiate between relevant and irrelevant cognitive skills for a given construct.
  • To apply this approach to assess reading competence and quantitative reasoning.

Main Methods:

  • Developed a validity framework where component skills moderate the relationship between speed and ability.
  • Collected convergent validity evidence when a relevant skill moderated the speed-ability relationship.
  • Collected discriminant validity evidence when an irrelevant skill did not moderate the speed-ability relationship.
  • Utilized data from the German PIAAC sample, assessing reading competence and quantitative reasoning.

Main Results:

  • Word meaning activation skill positively moderated the speed-ability relationship for reading competence.
  • Perceptual speed skill positively moderated the speed-ability relationship for quantitative reasoning.
  • The expected non-moderating effects were observed for irrelevant skills, confirming discriminant validity.
  • The proposed approach demonstrated suitability for construct validation.

Conclusions:

  • Processing times provide valuable validity evidence, offering insights into cognitive processes.
  • This method enhances construct validation by linking test scores to actual response behaviors.
  • The findings support the use of time-based measures in psychometric assessment.