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

Measures of Intelligence01:29

Measures of Intelligence

7.3K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
7.3K
Review and Preview01:10

Review and Preview

7.6K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
7.6K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

1.6K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
1.6K
Reliability and Validity01:29

Reliability and Validity

12.7K
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.
12.7K
Multiple Comparison Tests01:13

Multiple Comparison Tests

3.9K
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...
3.9K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

1.6K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
1.6K

You might also read

Related Articles

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

Sort by
Same author

How Days Between Tests Impacts Alternate Forms Reliability in Computerized Adaptive Tests.

Educational and psychological measurement·2021
Same journal

Random Responding Detection in Two Alternative Forced Choice Tests: <i>l</i> <sub><i>z</i></sub> vs. Optimal Appropriateness Measurement.

Applied psychological measurement·2026
Same journal

General formulae for transforming Pearson's r to the scale of Cohen's d.

Applied psychological measurement·2026
Same journal

babebi: An R Package for Bayesian Estimation and Validation in Small-N Two-Rater Pre-Post Designs.

Applied psychological measurement·2026
Same journal

A Tool for Agreement and Alignment Analysis in Binary Rating Tasks: The R Package scindex.

Applied psychological measurement·2026
Same journal

The EM Algorithm and Its Variants in Cognitive Diagnostic Models: Comparing Their Propensity for Boundaries, Extremes, Convergence, and Suboptimal Solutions.

Applied psychological measurement·2026
Same journal

When Perceptions of Social Desirability Differ: Implications for the Multidimensional Nominal Response Model of Faking.

Applied psychological measurement·2026
See all related articles

Related Experiment Video

Updated: Jul 10, 2025

Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

5.8K

Two Statistics for Measuring the Score Comparability of Computerized Adaptive Tests.

Adam E Wyse1

  • 1Renaissance, MN, USA.

Applied Psychological Measurement
|November 24, 2023
PubMed
Summary
This summary is machine-generated.

New statistics assess computerized adaptive tests (CATs) score comparability by comparing conditional standard errors of measurement (CSEMs). The study found CATs generally exhibit high score comparability, with variations at score extremes.

Keywords:
computerized adaptive testingconditional standard error of measurementequityscore comparabilityvertical scales

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

792
Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
10:58

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA

Published on: August 28, 2021

4.5K

Related Experiment Videos

Last Updated: Jul 10, 2025

Computerized Adaptive Testing System of Functional Assessment of Stroke
05:21

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

5.8K
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

792
Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
10:58

Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA

Published on: August 28, 2021

4.5K

Area of Science:

  • Educational Measurement and Statistics
  • Psychometrics
  • Computerized Adaptive Testing (CAT)

Background:

  • Computerized adaptive tests (CATs) are widely used in educational assessment.
  • Ensuring score comparability across different CAT forms is crucial for valid score interpretation.
  • Existing methods for evaluating score comparability have limitations.

Purpose of the Study:

  • To introduce two novel statistics for quantifying score comparability in CATs.
  • To evaluate the score comparability of alternate CAT forms using these new statistics.
  • To assess the impact of score range and sample size on score comparability.

Main Methods:

  • Developed two statistics based on comparing conditional standard errors of measurement (CSEMs) for examinees with identical scale scores.
  • One statistic assesses individual scale score comparability; the other assesses overall score comparability.
  • Applied the statistics to grade 3-8 reading and math CAT data.

Main Results:

  • Both CATs demonstrated reasonably high levels of score comparability.
  • Score comparability decreased at very high or very low score ranges.
  • Using the bottom 20% of scorers sometimes yielded higher overall score comparability than using all students.

Conclusions:

  • The proposed statistics effectively measure CAT score comparability.
  • CATs generally exhibit good score comparability, though it varies by score level.
  • The findings provide valuable insights for developing and evaluating CATs.