Use latent variable models to extract differential interpretation as a methodological artifact from measurement models¶

Strategy · All strategies
Evidence · no claims cited

Description¶

This strategy uses certain latent variable models to separate a methodological artifact—differential interpretation of vague quantifiers—from measurement models that are intended to be purely substantive. The article states that its analyses "illustrate how a researcher might use certain latent variable models to extract a methodological artifact—differential interpretation—from measurement models intended to be purely substantive." It is a methodological recipe for survey researchers rather than an instructional intervention.

Design Implications¶

Context¶

Requirements¶

• Requires latent variable models applied to response data containing vague quantifier items.

Constraints¶

• The article presents this as an illustration of how a researcher might proceed, demonstrated on one dataset.

Target Learners¶

• Survey researchers and methodologists studying respondent interpretation

Target Learning Goals¶

• Improving the validity of measurement models by removing differential interpretation artifacts

Affordances¶

• Latent Interpretation Classes Framework

Related Strategies¶

Examples¶

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Key Sources¶

• Jamie Griffin. (2013). On the Use of Latent Variable Models to Detect Differences in the Interpretation of Vague Quantifiers. Public Opinion Quarterly, vol. 77, issue S1. https://academic.oup.com/poq