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

McNemar's Test01:23

McNemar's Test

460
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
460
Test for Homogeneity01:23

Test for Homogeneity

2.1K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.1K
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.0K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.0K
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

218
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
218
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

319
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
319
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

336
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
336

You might also read

Related Articles

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

Sort by
Same author

Cognitive-affective and behavioral pain mechanisms in individuals with chronic low back pain: a network analysis.

Pain·2026
Same author

Feasibility of diagnosing major depressive disorder with a panel of serum and urine biomarkers.

BJPsych open·2026
Same author

Ketamine addiction following a single sub-anaesthetic ketamine treatment for acute suicidality in a psychiatrically multimorbid patient: case report.

BJPsych open·2026
Same author

Non-random patterns in the co-occurrence and accumulation of adverse life events in two national panel datasets.

Communications psychology·2026
Same author

Can Physical Activity, Sleep Parameters, and Sleep-Wake Patterns Predict Outcome of Combined Chronotherapy in Mood Disorder During Routine Clinical Practice? An Exploratory Study.

Journal of personalized medicine·2026
Same author

Recognize the Value of the Sum Score, Psychometrics' Greatest Accomplishment.

Psychometrika·2026
Same journal

Bayesian evaluation for latent variable models: A tutorial on computing information criteria and bayes factors with the r package bleval.

Psychological methods·2026
Same journal

A stochastic block prior for clustering in graphical models.

Psychological methods·2026
Same journal

Three-level vector autoregressive models.

Psychological methods·2026
Same journal

Scaling cognitive modeling to big data: A deep learning approach to studying individual differences in evidence accumulation model parameters.

Psychological methods·2026
Same journal

Best practices in multilevel modeling for within-cluster group comparisons: An evaluation of coding strategies reflecting group composition and heterogeneity.

Psychological methods·2026
Same journal

A unified framework for psychometrics in experimental psychology: The standardized generalized hierarchical factor model.

Psychological methods·2026
See all related articles

Related Experiment Video

Updated: Sep 27, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.2K

Comparing network structures on three aspects: A permutation test.

Claudia D van Borkulo1, Riet van Bork2, Lynn Boschloo3

  • 1Department of Psychological Methods, University of Amsterdam.

Psychological Methods
|April 11, 2022
PubMed
Summary
This summary is machine-generated.

Network comparison test (NCT) allows researchers to compare psychological construct networks across populations. This statistical tool effectively assesses network structure, edge strength, and global strength invariance using permutation testing.

More Related Videos

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

11.3K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.5K

Related Experiment Videos

Last Updated: Sep 27, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.2K
Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke
09:50

Impact Assessment of Repeated Exposure of Organotypic 3D Bronchial and Nasal Tissue Culture Models to Whole Cigarette Smoke

Published on: February 12, 2015

11.3K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.5K

Area of Science:

  • Psychology
  • Psychometrics
  • Network Analysis

Background:

  • Network approaches model psychometric constructs via factor interactions, gaining popularity in psychology.
  • Shift from descriptive network estimation to comparative network analysis across populations.
  • Lack of statistical tools for comparing network structures across different groups.

Purpose of the Study:

  • Introduce the Network Comparison Test (NCT) for comparing network structures between independent datasets.
  • Enable statistical comparison of network structure, edge strength, and global strength invariance.

Main Methods:

  • Utilizes resampling-based permutation testing.
  • Compares network structures from two independent, cross-sectional datasets.
  • Evaluates invariance in network structure, edge strength, and global strength.

Main Results:

  • NCT demonstrates robust performance across various simulation conditions.
  • Type I error rates are close to nominal significance levels.
  • Sufficient statistical power is achieved with substantial sample sizes and network differences.

Conclusions:

  • NCT provides a viable statistical solution for comparing psychological network structures.
  • The method is effective for assessing structural, edge, and global strength invariance.
  • Illustrative application comparing male and female depression symptom networks.