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Related Concept Videos

Data Validation01:15

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:
Data Validation01:03

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...
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Reliability and Validity01:29

Reliability and Validity

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.
Measures of Intelligence01:29

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; it...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...

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Related Experiment Video

Updated: Jun 6, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
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Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Scale validation via quantifying item validity using the Dm index.

Vasyl Taras1, Theresa Kline

  • 1University of North Carolina at Greensboro, USA.

Psychological Reports
|December 2, 2010
PubMed
Summary

This study introduces the Dm coefficient, a new method for assessing item validity, offering an alternative to traditional total score analyses. This approach is particularly useful for small sample sizes in psychometric research.

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

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Related Experiment Videos

Last Updated: Jun 6, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

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

Area of Science:

  • Psychometrics
  • Educational Measurement
  • Psychological Assessment

Background:

  • Traditional validity indices often rely on total test scores.
  • Existing item selection techniques, like Piazza's P2 index, have limitations.
  • There is a need for robust methods to assess construct validity at the item level, especially with limited data.

Purpose of the Study:

  • To introduce and describe the Dm coefficient as a novel method for quantifying item construct validity.
  • To provide an alternative to existing item selection techniques with substantial limitations.
  • To offer a validity index suitable for small sample sizes where traditional methods like factor analysis or item response theory are not feasible.

Main Methods:

  • The study adapts an item selection technique originally described by Piazza (1980).
  • It introduces the Dm coefficient as a new index for item selection and validity.
  • The Dm coefficient is presented as analogous to traditional criterion-related validity indices.

Main Results:

  • The Dm coefficient provides a quantifiable measure of construct validity for individual items.
  • This method offers an alternative to the limitations of Piazza's P2 index.
  • The Dm coefficient functions similarly to established criterion-related validity indices.

Conclusions:

  • The Dm coefficient is a valuable tool for assessing item construct validity, particularly in scenarios with small item or person samples.
  • This method enhances psychometric analysis when traditional approaches are inappropriate.
  • The paper provides a practical example of applying the Dm coefficient technique.