Hostname: page-component-89b8bd64d-46n74 Total loading time: 0 Render date: 2026-05-10T14:27:59.492Z Has data issue: false hasContentIssue false

Addressing a crisis of generalizability with large-scale construct validation

Published online by Cambridge University Press:  10 February 2022

Jessica Kay Flake
Affiliation:
Department of Psychology, McGill University, Montreal, QC H3A 1G1, Canada. Jessica.flake@mcgill.ca; raymond.luong@mail.mcgill.ca; mairead.shaw@mail.mcgill.ca; https://www.mcgill.ca/psychology/jessica-kay-flake; https://www.mcgill.ca/psychology/jessica-kay-flake
Raymond Luong
Affiliation:
Department of Psychology, McGill University, Montreal, QC H3A 1G1, Canada. Jessica.flake@mcgill.ca; raymond.luong@mail.mcgill.ca; mairead.shaw@mail.mcgill.ca; https://www.mcgill.ca/psychology/jessica-kay-flake; https://www.mcgill.ca/psychology/jessica-kay-flake
Mairead Shaw
Affiliation:
Department of Psychology, McGill University, Montreal, QC H3A 1G1, Canada. Jessica.flake@mcgill.ca; raymond.luong@mail.mcgill.ca; mairead.shaw@mail.mcgill.ca; https://www.mcgill.ca/psychology/jessica-kay-flake; https://www.mcgill.ca/psychology/jessica-kay-flake

Abstract

Because of the misspecification of models and specificity of operationalizations, many studies produce claims of limited utility. We suggest a path forward that requires taking a few steps back. Researchers can retool large-scale replications to conduct the descriptive research which assesses the generalizability of constructs. Large-scale construct validation is feasible and a necessary next step in addressing the generalizability crisis.

Information

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable