Predictor Validity as an Overview of Criterion Validity: A Literature Review

DOI

10.2991/978-2-38476-567-6_25How to use a DOI?

Keywords

predictive validity; criterion validity; educational selection; scholastic; SDGs

Abstract

This study emphasizes the importance of validity in measurement, particularly predictive and criterion validity, to ensure accurate decision-making in educational selection and non-cognitive assessment. A literature review was conducted examining 1,013 articles from the Scopus, ScienceDirect, Google Scholar, and ERIC databases. After PRISMA screening, 34 relevant studies were identified. The analysis revealed that no single predictor consistently demonstrated the highest predictive and criterion validity. Cognitive tests such as the Scholastic Aptitude Test (SAT) or the Medical College Admission Test (MCAT) tended to be more accurate in predicting initial academic performance, while prior academic achievement and non-cognitive factors made significant additional contributions. In the context of health and psychosocial outcomes, physiological and behavioral indicators also demonstrated variable validity, with multi-predictor models consistently outperforming single-test approaches. In conclusion, implementing a multi-predictor approach ensures greater accuracy for selection and assessment, strengthening evidence-based practices in education, health, and workforce development. These findings contribute not only to theoretical advancements but also to impactful outcomes that align with the Sustainable Development Goals (SDGs), particularly SDG 4 (Quality Education), SDG 3 (Good Health and Well-Being), and SDG 8 (Decent Work and Economic Growth). Strengthening the multi-predictor approach supports the development of more inclusive, equitable, and impactful systems that benefit individuals and society.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ermawati
AU  - Achmad Ridwan
AU  - Dinny Devi Triana
PY  - 2026
DA  - 2026/04/23
TI  - Predictor Validity as an Overview of Criterion Validity: A Literature Review
BT  - Proceedings of the 3rd International Conference on Environmental Learning and Educational Technologies (3rd ICELET 2025)
PB  - Atlantis Press
SP  - 217
EP  - 270
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-567-6_25
DO  - 10.2991/978-2-38476-567-6_25
ID  - 2026
ER  -