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Related Concept Videos

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...
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:
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.
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...
Case Studies01:22

Case Studies

There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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...

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Related Experiment Video

Updated: May 28, 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

Construct validity and case validity in assessment.

Hedwig Teglasi1, Allison Joan Nebbergall, Daniel Newman

  • 1Department of Counseling, Higher Education, and Special Education, University of Maryland, College Park, MD 20742, USA. hteglasi@umd.edu

Psychological Assessment
|November 2, 2011
PubMed
Summary

Clinical assessment requires both construct and case validity. Understanding implicit/explicit personality and ability/personality constructs under different performance conditions is key for accurate psychological evaluations.

Related Experiment Videos

Last Updated: May 28, 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

Area of Science:

  • Psychology
  • Psychometrics
  • Clinical Assessment

Background:

  • Clinical assessment relies on construct validity (accuracy of conclusions about a phenomenon) and case validity (synthesis of phenomena related to a concern).
  • Construct validity examines causal influences of a phenomenon on responses across measures and contexts.
  • Case validity considers the combined effects of multiple phenomena on individual responses.

Purpose of the Study:

  • To elucidate the relationship between construct validity and case validity in clinical assessment.
  • To highlight essential distinctions for understanding psychological phenomena and improving construct validity.
  • To emphasize the necessity of incorporating specific construct distinctions into assessment protocols for enhanced case validity.

Main Methods:

  • Distinguishing between implicit and explicit versions of personality constructs.
  • Differentiating between ability and personality constructs.
  • Analyzing performance conditions (maximal vs. typical) for measuring these constructs.

Main Results:

  • Implicit and explicit constructs interact with both maximal and typical performance conditions.
  • These interactions are crucial for understanding the nuances of psychological phenomena.
  • Systematic inclusion of these distinctions is vital for robust case validity.

Conclusions:

  • Case validity necessitates the systematic integration of implicit/explicit and ability/personality distinctions.
  • Accurate clinical assessment depends on a comprehensive understanding of how different construct types perform under various conditions.
  • Assessment protocols must account for these multifaceted influences to ensure valid and reliable evaluations.