Human Resource Development Quarterly· 2026Q1
Formative and Reflective Measurement Models in Workplace Learning Research: A Critical Review and Guidelines
- 0citations
- Q1SCImago
- 2026year
Short summary
Between 34.8% and 50.2% of measurement instruments in workplace learning research are misspecified as reflective when they should be formative, potentially biasing findings.
AI-generated from the title and abstract; the full text is not read.
Key points
- Up to 50.2% of measurement instruments in workplace learning research are misspecified, incorrectly using reflective models for formative constructs.
- Misspecification rates were determined by analyzing 325 instruments from 92 studies using conservative and majority coding strategies.
- These errors can lead to biased estimates, distorted structural relationships, and compromised research validity.
- Guidelines are provided to assist researchers in selecting and evaluating appropriate measurement models.
AI-generated from the title and abstract; the full text is not read.
Abstract
ABSTRACT Quantitative empirical research in workplace learning regularly makes use of measurement instruments that operationalize theoretical constructs. However, in domains related to workplace learning, high levels of measurement model misspecifications—up to 62% of all cases—have been identified. In most cases, formative measurement models, where indicators cause the construct, are erroneously specified as reflective, where the construct causes the indicators. This can significantly bias estimates, distort structural relationships, and, consequentially, compromise the validity of research findings. However, in workplace learning research there is currently no evidence available regarding the level of measurement model misspecification. To address this need for research, we systematically reassess 325 unique measurement instruments derived from 92 studies identified in a prior qualitative meta‐synthesis. Using two distinct coding strategies—a conservative coding and a majority coding—we evaluate the extent to which formative measurement models have been misspecified as reflective. Results indicate that between 34.8% and 50.2% of instruments are misspecified in this way, depending on the coding approach. Based on this, we provide guidelines to support researchers in selecting and evaluating measurement models. Our study advances the methodological rigor of workplace learning research and contributes to the broader discourse on improving construct validity in basic and applied research contexts.
The authors' abstract, as published at the source. Human Resource Development Quarterly, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Human Factors and Ergonomics
Human Factors and ErgonomicsSocial Sciences