Construct validity: Construct representation versus nomothetic span.
Whitely, Susan E.·1983·Psychological Bulletin
Cites (2)
- Convergent and discriminant validation by the multitrait-multimethod matrix.Campbell, Donald T., Fiske, Donald W. · 1959 · Psychological Bulletin
- Construct validity in psychological tests.Cronbach, Lee J., Meehl, Paul E. · 1955 · Psychological Bulletin
Cited by (24)
- A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational ResearchVandenberg, Robert J., Lance, Charles E. · 2000 · Organizational Research Methods
- Validity of psychological assessment: Validation of inferences from persons' responses and performances as scientific inquiry into score meaning.Messick, Samuel · 1995 · American Psychologist
- Validating the interpretations and uses of test scoresKane, Michael T. · 2013 · Journal of Educational Measurement
- Mind the hype: a critical evaluation and prescriptive agenda for research on mindfulness and meditationVan Dam, Nicholas T., van Vugt, Marieke K., Vago, David R., Schmalzl, Laura, Saron, Clifford D., Olendzki, Andrew, Meissner, Ted, Lazar, Sara W., Kerr, Catherine E., Gorchov, Jolie et al. · 2018 · Perspectives on Psychological Science
- The interplay of evidence and consequences in the validation of performance assessmentsMessick, Samuel · 1994 · Educational Researcher
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Construct validity: Construct representation versus nomothetic span. https://app.cochat.ai/papers/10.1037//0033-2909.93.1.179
- The paper
- Whitely, S. E. (1983). Construct validity: Construct representation versus nomothetic span. Psychological Bulletin. https://doi.org/10.1037//0033-2909.93.1.179
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.