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

Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

658
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...
658
Expected Frequencies in Goodness-of-Fit Tests01:19

Expected Frequencies in Goodness-of-Fit Tests

7.0K
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).
7.0K
Censoring Survival Data01:09

Censoring Survival Data

689
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
689
Test for Homogeneity01:23

Test for Homogeneity

1.7K
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...
1.7K
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

4.0K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
4.0K
Truncation in Survival Analysis01:09

Truncation in Survival Analysis

707
Truncation in survival analysis refers to the exclusion of individuals or events from the dataset based on specific criteria related to the time of the event. This exclusion can happen in two primary forms: left truncation and right truncation.
Left truncation occurs when individuals who experienced the event of interest before a certain time are not included in the study. This is often due to a "delayed entry" into the study where only those who survive until a certain entry point are...
707

You might also read

Related Articles

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

Sort by
Same author

Efficacy for writing self-regulation, attitude toward writing, and quality of second grade students' writing.

Frontiers in psychology·2023
Same author

On Computing the Key Probability in the Stochastically Curtailed Sequential Probability Ratio Test.

Applied psychological measurement·2018
Same author

Item exposure control for multidimensional computer adaptive testing under maximum likelihood and expected a posteriori estimation.

Behavior research methods·2015
Same author

Annotations on Mexico's WISC-IV: a validity study.

Applied neuropsychology. Child·2013

Related Experiment Video

Updated: Apr 28, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.0K

The stochastically curtailed generalized likelihood ratio: A new termination criterion for variable-length

Alan R Huebner1, Anthony D Fina

  • 1University of Notre Dame, 153 Hurley Hall, Notre Dame, IN, 46556, USA, Alan.Huebner.10@nd.edu.

Behavior Research Methods
|June 8, 2014
PubMed
Summary

The new stochastically curtailed generalized likelihood ratio criterion (SCGLR) offers improved efficiency in computerized classification tests (CCTs). This method classifies examinees accurately while using fewer items compared to existing criteria.

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

1.3K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

880

Related Experiment Videos

Last Updated: Apr 28, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.0K
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

1.3K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

880

Area of Science:

  • Psychometrics
  • Educational Measurement
  • Computerized Adaptive Testing

Background:

  • Computerized classification tests (CCTs) classify examinees using variable-length testing, often employing the sequential probability ratio test (SPRT) for efficient termination.
  • Alternative methods like the stochastically curtailed SPRT (SCSPRT) and generalized likelihood ratio criterion (GLR) have shown promise in reducing test length without compromising accuracy.

Purpose of the Study:

  • To introduce and evaluate a novel termination criterion for variable-length CCTs: the stochastically curtailed generalized likelihood ratio (SCGLR).
  • To compare the performance of the SCGLR against established criteria (SPRT, SCSPRT, GLR) across diverse testing conditions.

Main Methods:

  • A simulation study was conducted to compare four termination criteria: SPRT, SCSPRT, GLR, and SCGLR.
  • Testing conditions varied item bank characteristics, pass/fail thresholds, and examinee ability distributions.
  • Criteria were evaluated based on classification accuracy, test efficiency (length), and overall loss.

Main Results:

  • The SCGLR criterion demonstrated increased efficiency compared to the SPRT, SCSPRT, and GLR.
  • This enhanced efficiency was achieved without any reduction in classification accuracy across various CCT designs.
  • The SCGLR proved to be a more efficient termination rule in the simulated testing environments.

Conclusions:

  • The stochastically curtailed generalized likelihood ratio (SCGLR) criterion represents a significant advancement in variable-length computerized classification testing.
  • SCGLR offers a superior balance of accuracy and efficiency, making it a valuable tool for professional certification and other high-stakes testing contexts.
  • This new criterion can lead to more efficient testing procedures without compromising the reliability of examinee classification.