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

Reliability and Validity01:29

Reliability and Validity

13.7K
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.
13.7K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

99.6K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
99.6K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

14.1K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
14.1K
Regression Toward the Mean01:52

Regression Toward the Mean

6.8K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.8K
Random and Systematic Errors01:20

Random and Systematic Errors

14.3K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.3K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

1.3K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.3K

You might also read

Related Articles

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

Sort by
Same author

Evaluating the quality of brainstem ROI registration using structural and diffusion MRI.

Frontiers in neuroscience·2026
Same author

Assessment of noninvasive quantification of [<sup>18</sup>F]SynVesT-1 with simplified reference tissue model 2 in an adolescent and youth cohort.

European journal of nuclear medicine and molecular imaging·2026
Same author

Neural Dynamics of Social Cognition: A Single-Trial Computational Analysis of Learning Under Uncertainty.

Human brain mapping·2026
Same author

Divergent effects of ketamine and psilocybin on EEG power spectral density in a mismatch negativity paradigm.

Psychopharmacology·2025
Same author

Cortical GABAergic Neuron Dysregulation in Schizophrenia Is Age Dependent.

Biological psychiatry global open science·2025
Same author

Localizing hierarchical prediction errors and precisions during an oddball task with volatility: Computational insights and relationship with psychosocial functioning in healthy individuals.

Imaging neuroscience (Cambridge, Mass.)·2025

Related Experiment Video

Updated: Jan 12, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.7K

Clarifying the reliability paradox: poor measurement reliability attenuates group differences.

Povilas Karvelis1, Andreea O Diaconescu1,2,3,4

  • 1Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.

Frontiers in Psychology
|October 31, 2025
PubMed
Summary
This summary is machine-generated.

Measurement reliability impacts cognitive science research. Low reliability in measures, while showing within-group effects, can distort group difference studies, affecting biomarker and clinical translation research.

Keywords:
clinical translationeffect size attenuationgroup differencesgroup effectsindividual differencesmeasurement reliabilityreliability paradoxtest-retest reliability

More Related Videos

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

1.2K
Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
09:18

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

Published on: December 15, 2023

3.4K

Related Experiment Videos

Last Updated: Jan 12, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

27.7K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

1.2K
Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow
09:18

Author Spotlight: Assessing the Reliability of Doppler Ultrasound in Measuring Leg Blood Flow

Published on: December 15, 2023

3.4K

Area of Science:

  • Cognitive Sciences
  • Psychometrics
  • Biomarker Research

Background:

  • Cognitive sciences face a reliability paradox: measures with strong within-group effects often lack test-retest reliability.
  • This paradox is often underestimated, particularly its impact on group difference research, not just individual differences.

Purpose of the Study:

  • To clarify the impact of measurement reliability on the study of group differences in cognitive science.
  • To demonstrate how poor reliability attenuates observed group differences, contrary to some erroneous assumptions.

Main Methods:

  • Utilized data simulations and mathematical derivations to analyze the effects of measurement reliability.
  • Examined various group definition scenarios: thresholding continuous measures and exogenous group definitions (e.g., treatment, sex).

Main Results:

  • Demonstrated that measurement reliability systematically attenuates observed group differences.
  • Quantified how differences in reliability and between-subject variance between groups further affect observed effect sizes.

Conclusions:

  • Measurement reliability is crucial for accurate group comparisons in cognitive science.
  • Findings have significant implications for biomarker research, clinical translation, and policy informed by group research.