Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

Numerical Calculations

Numerical Calculations

In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...

Data Validation

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Measures of Intelligence

Measures of Intelligence

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;...

Critical Numbers and the Closed Interval Method

Critical Numbers and the Closed Interval Method

Understanding the maximum and minimum values of a function is essential for analyzing its overall behavior. These values, often referred to as extrema, provide insight into how a function behaves across its domain. In mathematical terms, extrema can be either local—representing peaks and valleys within a limited region—or absolute, indicating the highest or lowest points over an entire interval.A function’s extrema occur at critical numbers, which are values in the domain...

You might also read

Related Articles

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

Sort by

Same author

Development of a Forced-Choice Personality Inventory via Thurstonian Item Response Theory (TIRT).

Behavioral sciences (Basel, Switzerland)·2025

Same author

Social Media Addiction, Self-Compassion, and Psychological Well-Being: A Structural Equation Model.

Alpha psychiatry·2023

See all related articles

Search research articles

Related Experiment Video

Updated: May 3, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 24, 2014

From Development to Validation: Exploring the Efficiency of Numetrive, a Computerized Adaptive Assessment of

Marianna Karagianni¹, Ioannis Tsaousis²

¹Department of Psychology, School of Social Sciences, University of Crete, 74100 Rethymno, Greece.

Behavioral Sciences (Basel, Switzerland)

|March 28, 2025

Summary

Numetrive, a new computerized adaptive testing system, effectively measures numerical reasoning. A Monte Carlo simulation showed it accurately assesses abilities with few items and low exposure rates.

Keywords:

CAT Numetrive computerized adaptive testing item banking item equating numerical reasoning simulation study

More Related Videos

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

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

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

Published on: August 28, 2021

Related Experiment Videos

Last Updated: May 3, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 24, 2014

Computerized Adaptive Testing System of Functional Assessment of Stroke

Computerized Adaptive Testing System of Functional Assessment of Stroke

Published on: January 7, 2019

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

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

Published on: August 28, 2021

Area of Science:

Psychometrics
Educational Measurement
Cognitive Assessment

Background:

Traditional testing methods may lack efficiency and precision.
Computerized adaptive testing (CAT) offers a more dynamic approach to ability measurement.
Developing robust CAT systems is crucial for accurate assessment of cognitive skills like numerical reasoning.

Purpose of the Study:

To detail the methodology for evaluating Numetrive, a novel CAT system for numerical reasoning.
To assess the psychometric properties and effectiveness of the Numetrive system.
To validate the Numetrive system's performance in measuring numerical reasoning.

Main Methods:

Developed a 174-item bank, calibrated using the two-parameter logistic model (2PLM).
Implemented Numetrive's algorithmic combination: maximum likelihood estimation with fences (MLEF), progressive restricted standard error (PRSE), and standard error of estimation termination rule.
Evaluated performance via Monte Carlo simulations and a validity study (concurrent, convergent, divergent).

Main Results:

The Monte Carlo simulation demonstrated high efficiency, administering an average of 13.6 items to 5000 simulees with low item exposure rates.
Accuracy in ability score estimation was exceptionally high, confirmed by low bias, mean absolute error (MAE), and root mean square error (RMSE).
Validity studies confirmed Numetrive's robustness and applicability in assessing numerical reasoning.

Conclusions:

Numetrive is a highly efficient and accurate computerized adaptive testing system for numerical reasoning.
The system demonstrates strong psychometric properties and validity for ability estimation.
Numetrive offers a robust and applicable solution for evaluating numerical reasoning skills.