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Population-level inference with plausible values conditional on assessment design

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Description

The article's central recommendation: with large-scale assessment data, 'inferences are only possible at the population-level—and then only when framed as conditional on the assessment design and assumptions—not at the level of individual students'. Findings can inform system-level policy decisions but not classroom-level instructional decisions about individual students.

Accounts

  • Make inferences from plausible values only at the population level, conditional on the assessment design: The article's central recommendation: with large-scale assessment data, 'inferences are only possible at the population-level—and then only when framed as conditional on the assessment design and assumptions—not at the level of individual students'. Findings can inform system-level policy decisions but not classroom-level instructional decisions about individual students. (Dumas et al. (2026))

Claims

Key Sources

  • Dumas, D., Goecke, B., Kagan, S., & Weiss, S. (2026). Zooming Out On Education: Making Valid Psychological Inferences From Large-Scale Assessment Data. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10110-7
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Field Value
type research-method
id population-level-inference-with-plausible-values-conditional-on-assessment-design
title Population-level inference with plausible values conditional on assessment design
description The article's central recommendation: with large-scale assessment data, 'inferences are only possible at the population-level—and then only when framed as conditional on the assessment design and assumptions—not at the level of individual students'.
status review
generated by process:settle-candidates on 2026-10-19
trust unverified — no one has confirmed this page's content

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