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

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

241
Body:Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to...
241
Correlation of Experimental Data01:23

Correlation of Experimental Data

480
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
480
Generator Voltage Control01:21

Generator Voltage Control

638
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand, use...
638
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

414
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
414
Random Error01:04

Random Error

9.1K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
9.1K
Random Variables01:09

Random Variables

17.5K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.5K

You might also read

Related Articles

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

Sort by
Same author

Multivariate Associations Between R-PAS Variables and Suicidal Ideation and Behaviors in Help-Seeking Adolescents.

Brain sciences·2026
Same author

From Inkblots to Eye Movements: A Multi-Method Investigation of Trauma.

Journal of personality assessment·2026
Same author

Cross-cultural applicability of the Inventory of Problems-29 (IOP-29): a pre-registered German replication of Akca, Tepedelen, et al. (2023).

Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law·2026
Same author

A Population Wide Analysis of MCMI-IV Symptom Validity Scales Administered in the Veterans Affairs Healthcare System.

Journal of personality assessment·2025
Same author

The Affective Neuroscience Personality Scale-Short Form (ANPS-SF): Validation and Adaptation of the Italian Version on Clinical and Non-Clinical Samples of Adolescents and Young Adults.

Journal of personality assessment·2025
Same author

One hundred and ten fundamentals of performance validity tests in neuropsychological forensic disability and related assessment I: Introduction.

Applied neuropsychology. Adult·2025

Related Experiment Video

Updated: Jan 22, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.0K

An Inventory of Problems-29 Study on Random Responding Using Experimental Feigners, Honest Controls, and

Luciano Giromini1, Donald J Viglione2, Claudia Pignolo1

  • 1Department of Psychology, University of Turin, Turin, Italy.

Journal of Personality Assessment
|July 19, 2019
PubMed
Summary

A new random responding scale (RRS) effectively detects content-unrelated distortions (CUD) and content-related distortions (CRD) in self-reports. However, its sensitivity decreased with human participants, questioning the randomness of their responses.

More Related Videos

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

5.6K
Use of Capillary Aerosol Generator in Continuous Production of Controlled Aerosol for Non-Clinical Studies
08:33

Use of Capillary Aerosol Generator in Continuous Production of Controlled Aerosol for Non-Clinical Studies

Published on: April 12, 2022

3.9K

Related Experiment Videos

Last Updated: Jan 22, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.0K
Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

Generating Strictly Controlled Stimuli for Figure Recognition Experiments

Published on: March 18, 2019

5.6K
Use of Capillary Aerosol Generator in Continuous Production of Controlled Aerosol for Non-Clinical Studies
08:33

Use of Capillary Aerosol Generator in Continuous Production of Controlled Aerosol for Non-Clinical Studies

Published on: April 12, 2022

3.9K

Area of Science:

  • Psychological assessment
  • Measurement in psychology
  • Research methodology

Background:

  • Self-report measures are susceptible to content-related distortions (CRD) and content-unrelated distortions (CUD).
  • Existing detection strategies for CRD and CUD may overlap, necessitating refined methods.
  • Random responding is a significant form of CUD that can impact data validity.

Purpose of the Study:

  • To develop and validate a random responding scale (RRS) for the Inventory of Problems-29.
  • To test the hypothesis that an RRS would be sensitive to both CUD and CRD.
  • To investigate the performance of the RRS with human versus computer-generated random data.

Main Methods:

  • Study 1: Developed an RRS for the Inventory of Problems-29 and tested it with 1,901 participants (experimental feigners and honest controls).
  • Study 2: Evaluated the RRS's performance using data from 700 human participants instructed to respond randomly, compared to computer-generated random data.
  • Statistical analyses were employed to differentiate CRD- and CUD-related variance.

Main Results:

  • The RRS in Study 1 successfully detected both CUD and CRD, supporting the initial hypothesis.
  • The RRS demonstrated significantly lower sensitivity when applied to human participants' random responses compared to computer-generated data in Study 2.
  • Analysis of response patterns from human random responders revealed non-random characteristics.

Conclusions:

  • The developed RRS is a promising tool for identifying response distortions in self-report data.
  • The findings raise questions about the true randomness of human responses, even when instructed to respond randomly.
  • Further research is needed to understand the nature of human random responding and its implications for psychological measurement.