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

Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

233
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...
233
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

4.0K
A goodness-of-fit test is conducted to determine whether the observed frequency values are statistically similar to the frequencies expected for the dataset. Suppose the expected frequencies for a dataset are equal such as when predicting the frequency of any number appearing when casting a die. In that case, the expected frequency is the ratio of the total number of observations (n)  to the number of categories (k).
4.0K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

242
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
242
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.5K
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...
3.5K
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

1.1K
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates...
1.1K
McNemar's Test01:23

McNemar's Test

509
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...
509

You might also read

Related Articles

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

Sort by
Same author

An Efficient and Stable PEG-Mediated Transformation System for Medicinal Fungus <i>Ophiocordyceps xuefengensis</i>: Optimization and Functional Validation.

Journal of fungi (Basel, Switzerland)·2026
Same author

Single-cell transcriptomics identifies fibroblast associated immune heterogeneity and prognostic signatures in bladder cancer.

Scientific reports·2026
Same author

iPSC-MSC-derived exosomes attenuate pulmonary fibrosis by inhibiting pulmonary fibroblast activation via delivery of TRIM31.

International journal of biological macromolecules·2026
Same author

Targeting Senescence: Tianma Granule Inhibits Colorectal Cancer Progression by Modulating miR-29a-5p/P53 Signaling in the Tumor Microenvironment.

Molecular nutrition & food research·2026
Same author

Ursolic acid induces colorectal cancer cells ferroptosis via regulation of system xc<sup>-</sup> and miR-214-3p/Stat3/GPX4 axis.

Frontiers in immunology·2025
Same author

Multitarget Design of Fluorinated Carboxylate Electrolytes for Lithium-Metal Batteries under Low Temperature.

The journal of physical chemistry. B·2025
Same journal

Adverse and positive childhood experiences in relation to adolescent mental health: sequential indirect associations.

Frontiers in psychology·2026
Same journal

Personality profiles and usage experience are associated with trust and dependence on generative AI: a latent profile analysis.

Frontiers in psychology·2026
Same journal

Editorial: Promoting replicability: empowering method and applied researchers in driving reliable results.

Frontiers in psychology·2026
Same journal

The mediating roles of the challenge appraisal in the relationship between the coach-athlete relationship and adolescent athletes' burnout.

Frontiers in psychology·2026
Same journal

Unpacking GenAI-enabled deep learning engagement: role perceptions, human-GenAI synergy strategies, and underlying mechanisms.

Frontiers in psychology·2026
Same journal

Violence exposure and cyberbullying among Chinese adolescents: the mediating role of moral disengagement.

Frontiers in psychology·2026
See all related articles

Related Experiment Video

Updated: Oct 19, 2025

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.1K

A Simplified Method for Predicting Pattern Match Ratio.

Xiaojuan Tang1, Huiqiong Duan2, Shuliang Ding3

  • 1School of Education, Jiangxi Normal University, Nanchang, China.

Frontiers in Psychology
|September 20, 2021
PubMed
Summary
This summary is machine-generated.

Cognitive diagnostic test design (CDTD) quality can be assessed before testing using theoretical construct validity (TCV). TCV predicts classification accuracy and improves test design efficiency.

Keywords:
cognitive diagnostic test designpattern match ratioprediction methodtheoretical construct validityupper bound

More Related Videos

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.1K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.3K

Related Experiment Videos

Last Updated: Oct 19, 2025

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.1K
Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
13:44

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

Published on: August 30, 2013

43.1K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.3K

Area of Science:

  • Psychometrics
  • Educational Measurement
  • Cognitive Science

Background:

  • Cognitive diagnostic test design (CDTD) significantly influences examinee classification accuracy, measured by the pattern match ratio (PMR).
  • Evaluating test quality during the design phase is crucial for efficient and effective assessment development.

Purpose of the Study:

  • To introduce and validate the theoretical construct validity (TCV) as a pre-testing metric for cognitive diagnostic tests.
  • To demonstrate the relationship between TCV and PMR, and highlight TCV's utility in test design.

Main Methods:

  • The study proposes TCV as a calculable index of test quality derived from test design parameters.
  • TCV is analyzed in relation to its ability to predict PMR and identify design flaws.

Main Results:

  • TCV serves as a measure of test construct validity, guiding item and test development towards intended objectives.
  • TCV acts as an upper bound for the PMR, enabling prediction of classification accuracy.
  • TCV facilitates the detection and revision of test design defects, enhancing efficiency and reducing costs.

Conclusions:

  • Theoretical construct validity (TCV) is a valuable pre-testing metric for cognitive diagnostic tests.
  • TCV aids in optimizing test design, predicting performance, and improving overall assessment quality.
  • The TCV is influenced by knowledge state and item category distributions, independent of the number of items.