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

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.
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Halo Effect01:27

Halo Effect

The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
Self-Evaluation Maintenance Model01:29

Self-Evaluation Maintenance Model

The Self-Evaluation Maintenance (SEM) model offers a psychological framework to understand how individuals’ self-esteem is influenced by the achievements of others, particularly those with whom they share close personal bonds. The SEM model operates when personal rather than social identity guides individuals. Central to this model is the notion that individuals have an inherent desire to preserve a favorable self-image, which is continuously shaped by interpersonal comparisons and...
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...
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...

You might also read

Related Articles

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

Sort by
Same author

John P. Campbell (1937-2025).

The American psychologist·2026
Same author

Brain, personality, and leadership: A meta-analysis of performance predictors among West Point cadets.

Military psychology : the official journal of the Division of Military Psychology, American Psychological Association·2026
Same author

Graduate grade inflation at a U.S. research-intensive university: A 22-year longitudinal analysis.

PloS one·2026
Same author

Planned missingness to reduce survey length: A sheep in wolf's clothing.

Psychological methods·2026
Same author

What do assessment center ratings reflect? Consistency and heterogeneity in variance composition across multiple samples.

The Journal of applied psychology·2025
Same author

Examining Gender-Based Differences in Quantitative Ratings and Narrative Comments in Faculty Assessments by Residents and Fellows.

Journal of graduate medical education·2025
Same journal

Grateful leaders and attentive followers: How grateful attention transmits the cascade of gratitude expressions to strengthen coworker relationships.

The Journal of applied psychology·2026
Same journal

Scoring employment interviews with large language models: Evaluation design components, validity investigations, and best practice recommendations.

The Journal of applied psychology·2026
Same journal

A profile analysis of leader interpersonal emotion management strategies.

The Journal of applied psychology·2026
Same journal

A choice architecture intervention to increase diversity: Diverse defaults can counteract hiring discrimination.

The Journal of applied psychology·2026
Same journal

Transformational leadership in context: A meta-analysis of 40 years of research.

The Journal of applied psychology·2026
Same journal

Organizations espousing an authenticity ideology repel stigmatized job seekers.

The Journal of applied psychology·2026
See all related articles

Related Experiment Video

Updated: May 8, 2026

Advancing Dyslexia Assessment in Children Through Computerized Testing
09:00

Advancing Dyslexia Assessment in Children Through Computerized Testing

Published on: August 16, 2024

Resolving the assessment center construct validity problem (as we know it).

Nathan R Kuncel1, Paul R Sackett1

  • 1Department of Psychology, University of Minnesota.

The Journal of Applied Psychology
|August 21, 2013
PubMed
Summary
This summary is machine-generated.

Assessment center construct validity is improved by combining post-exercise dimension ratings (PEDRs). Dimension variance often surpasses exercise variance with multiple exercises, suggesting construct validity issues may be overstated.

More Related Videos

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Related Experiment Videos

Last Updated: May 8, 2026

Advancing Dyslexia Assessment in Children Through Computerized Testing
09:00

Advancing Dyslexia Assessment in Children Through Computerized Testing

Published on: August 16, 2024

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Area of Science:

  • Industrial-Organizational Psychology
  • Human Resources Management
  • Psychometric Assessment

Background:

  • Concerns exist regarding the construct validity of assessment center dimensions.
  • Post-exercise dimension ratings (PEDRs) often reflect exercise variance more than dimension variance.

Purpose of the Study:

  • To address concerns about construct validity in assessment centers.
  • To propose a new framework for understanding dimension variance in assessment ratings.

Main Methods:

  • Analyzing post-exercise dimension ratings (PEDRs) as intermediate steps toward overall dimension ratings.
  • Modeling how correlated dimension variance accumulates and displaces other variance sources.
  • Developing a framework for categorizing construct variance dominance.

Main Results:

  • Dimension variance commonly becomes dominant over exercise-specific variance when ratings from multiple exercises are combined.
  • As few as two exercises can achieve the lowest level of construct variance dominance.
  • A general factor emerges as the largest source of dimension variance.

Conclusions:

  • The perceived construct validity problem in assessment centers may be overstated.
  • A significant general factor can influence dimension variance.
  • The presence of a general factor may affect developmental interpretations of assessment center results.