Related Experiment Video
Updated: Jan 25, 2026

Assays for Validating Histone Acetyltransferase Inhibitors
Published on: August 6, 2020
Rethinking psychological measurement: Validity potential versus realised validity
Wendy C Higgins1, David M Kaplan2, Alexander J Gillett3
1University of Melbourne, Melbourne School of Psychological Sciences, VIC, 3010, Australia; Macquarie University, School of Psychological Sciences, NSW, 2109, Australia.
This study introduces a new concept of measurement validity for psychological sciences. It emphasizes causal relationships and distinguishes between a measurement procedure's potential and its realized validity, improving validation practices.
Area of Science:
- Psychological Sciences
- Measurement Theory
- Causal Inference
Background:
- Current measurement validation guidelines are complex, linking validity to interpretations of test scores.
- Existing practices may not clearly delineate requirements for valid measurement.
- A need exists for a more precise and interpretable framework for validity claims.
Purpose of the Study:
- To propose a novel, measurement-specific, and causal concept of validity.
- To enhance measurement validation practices in the psychological sciences.
- To clarify the requirements for valid measurement and the interpretation of validity claims.
Main Methods:
- Conceptual development based on Borsboom and colleagues' work.
- Distinction between validity potential (in abstracto) and realized validity (concrete outcomes).
- Application of interventionist theory of causation and causal inference for evaluation.
Main Results:
- A measurement-specific and causal concept of validity is proposed.
- The concept clarifies requirements for valid measurement and interpretation of claims.
- Distinction between potential and realized validity offers practical benefits for research.
Conclusions:
- The proposed concept offers a clearer, causal framework for measurement validation.
- It facilitates theoretical refinement, procedure selection, and reporting of validity evidence.
- This approach addresses challenges in evaluating psychological measurements as causal inferences.
Related Concept Videos
Reliability and Validity
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Data Validation
Key parameters for method validation include:
Formulating and Validating Nursing Diagnosis II
Risk nursing diagnoses represent clinical judgments of an individual, family, or community more vulnerable to developing the health problem than others...
Formulating and Validating Nursing Diagnosis I
There are thirteen domains...
In Vitro Drug Release Testing: Overview, Development and Validation

