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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.
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...
Formulating and Validating Nursing Diagnosis II01:25

Formulating and Validating Nursing Diagnosis II

Nursing diagnoses represent a problem validated by major defining characteristics. There are four categories of nursing diagnoses: problem-focused, risk, health promotion or wellness, and syndrome. The anatomy of a nursing diagnosis includes three components: problem statement or diagnostic label, defining characteristics, and related factors.
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
Humanistic Psychology01:24

Humanistic Psychology

Humanistic psychology emerged in the mid-20th century as a response to the deterministic and pessimistic nature of behaviorism and psychoanalysis. While behaviorism focused on observable behaviors influenced by the environment and psychoanalysis delved into unconscious motivations, both theories suggested that human actions lacked free will. In contrast, humanistic psychology offers a perspective that emphasizes the innate potential for goodness and growth within every individual.
This approach...
Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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There are thirteen domains for...
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...

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Related Experiment Video

Updated: May 15, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

A proposal for evaluating the validity of holistic-based admission processes.

Clarence D Kreiter1

  • 1Office of Consultation and Research in Medical Education, University of Iowa Carver Collegeof Medicine, Iowa City, IA 52242, USA. clarence-kreiter@uiowa.edu

Teaching and Learning in Medicine
|January 22, 2013
PubMed
Summary

Statistical methods outperform holistic reviews in admissions for measurable outcomes. Research is needed to determine if holistic approaches offer benefits in unmeasured areas, using existing data from medical and graduate programs.

Related Experiment Videos

Last Updated: May 15, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
12:55

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties

Published on: September 27, 2020

Area of Science:

  • Decision science
  • Educational psychology
  • Higher education admissions

Background:

  • Admission decisions utilize holistic (human judgment) or statistical (actuarial) methods.
  • Statistical methods consistently outperform holistic methods for optimizing measurable outcomes.
  • Potential benefits of holistic decisions may lie in unmeasured outcomes, indicated by systematic variance in rater scores.

Purpose of the Study:

  • To estimate the variance attributable to unmeasured outcomes in holistic admissions.
  • To propose a research design examining the interrater reliability of difference scores between holistic and statistical admissions rankings.

Main Methods:

  • Analyzing interrater reliability of difference scores (holistic vs. statistical rankings).
  • Utilizing G study models to analyze rater agreement on difference scores.
  • Demonstrating calculations for various analytical circumstances.

Main Results:

  • High interrater reliability of difference scores would suggest holistic methods add value beyond statistical approaches.
  • Near-zero interrater reliability of difference scores would indicate committee judgments introduce random error.
  • Data for such validity research likely exists within selective medical and graduate programs.

Conclusions:

  • Research on the interrater reliability of difference scores is critical for validating holistic admissions.
  • Such studies can determine if holistic review processes provide unique, unmeasured benefits.
  • Existing data in selective programs can be leveraged for this crucial validity research.