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Homogeneous-outcome selection for causal learning-loss analysis

Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 causal), q3 · 0 of 1 report an effect size · 2 claims rest on one study

Description

This design principle holds that causal estimates of instructional disruptions require tight confinement of the counterfactual trend. The authors achieved this by restricting the outcome to reading fluency, "a readily measurable and well-defined construct", and by noting that "the choice of an ability with a homogeneous development, a narrow definition of the construct reading fluency, and the measurement with a standardized instrument allowed us to control time-dependent trends in our causal analysis." Multiple measurement points additionally separated short-term from long-term effects.

Accounts

  • Control time-dependent trends in causal learning-loss analyses by choosing a homogeneously developing, narrowly defined ability measured with a standardized instrument: This design principle holds that causal estimates of instructional disruptions require tight confinement of the counterfactual trend. The authors achieved this by restricting the outcome to reading fluency, "a readily measurable and well-defined construct", and by noting that "the choice of an ability with a homogeneous development, a narrow definition of the construct reading fluency, and the measurement with a standardized instrument allowed us to control time-dependent trends in our causal analysis." Multiple measurement points additionally separated short-term from long-term effects. (Kraus et al. (2024))

Claims

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Key Sources

  • Kraus, E. B., Wild, J., Schilcher, A., & Hilbert, S. (2024). Exploring the Short-Term and Long-Term Effects of the COVID-19 School Closures on Reading Fluency in Southern Germany: A Longitudinal Causal Effects Analysis. https://osf.io/bu2ad/
Page metadata
Field Value
type research-method
id homogeneous-outcome-selection-for-causal-learning-loss-analysis
title Homogeneous-outcome selection for causal learning-loss analysis
description This design principle holds that causal estimates of instructional disruptions require tight confinement of the counterfactual trend.
status review
generated by process:settle-candidates on 2026-10-23
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