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Related Concept Videos

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...
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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...
Wechsler's Contribution to Measures of Intelligence01:23

Wechsler's Contribution to Measures of Intelligence

David Wechsler, a psychologist who worked with World War I veterans, developed a significant IQ test in 1939 called the Wechsler-Bellevue Intelligence Scale. This test was innovative because it combined several subtests that measured both verbal and nonverbal skills, reflecting Wechsler's belief that intelligence is a global capacity involving purposeful action, rational thinking, and effective interaction with the environment. This test later evolved into the Wechsler Adult Intelligence Scale...
Significance Testing: Overview01:04

Significance Testing: Overview

Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...

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Related Experiment Video

Updated: May 27, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

Are embedded validity indices equivalent to free-standing symptom validity tests?

Andrea S Miele1, Jessica H Gunner, Julie K Lynch

  • 1Department of Psychology, University at Albany, State University of New York, Albany, NY 12222, USA. amiele@albany.edu

Archives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists
|November 10, 2011
PubMed
Summary

Symptom validity tests (SVTs) are crucial in neuropsychological evaluations. While embedded validity indices offer efficiency, Reliable Digit Span, though accurate, should not replace free-standing SVTs for optimal effort assessment.

Related Experiment Videos

Last Updated: May 27, 2026

Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

Area of Science:

  • Neuropsychology
  • Psychometrics

Background:

  • Symptom validity assessment is critical in neuropsychological evaluations to ensure optimal effort.
  • Free-standing symptom validity tests (SVTs) and embedded validity indices (EVIs) exist to measure examinee effort.
  • EVIs are advantageous due to time efficiency and reduced vulnerability to coaching.

Purpose of the Study:

  • To evaluate the diagnostic validity of 17 embedded validity indices.
  • To compare the performance of EVIs against combinations of free-standing SVTs.

Main Methods:

  • The study assessed 17 embedded validity indices within a medico-legal sample.
  • Performance on EVIs was compared to established free-standing SVTs.

Main Results:

  • Reliable Digit Span demonstrated the highest classification accuracy among the evaluated embedded validity indices.
  • Despite its accuracy, Reliable Digit Span's utility is limited when used alone.

Conclusions:

  • Embedded validity indices vary in their sensitivity and specificity for detecting suboptimal effort.
  • The findings do not support the standalone use of Reliable Digit Span, emphasizing the continued need for free-standing SVTs.