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A framework and operationalization of study designs and statistical approaches for studying academic resilience in literacy

Research Method · All research methods
Evidence · 3 claims (3 for) · 2 studies (1 review, 1 theoretical), q2 · 0 of 2 report an effect size · 3 claims rest on one study

Description

The special issue's theoretical backbone distinguishes promotive effects (factors benefiting all learners), protective effects (factors offsetting risk), and compensatory mechanisms. Slomowitz et al. introduce "the seesaw metaphor" and provide "definitions and methodological guidelines for analysis and interpretation of promotive and protective effects, as well as compensatory mechanisms in academic resilience research". Appels et al. add guidelines for interpreting main and interaction effects in variable- and person-centered designs.

Accounts

  • Promotive, protective, and compensatory effects framework for academic resilience research: The special issue's theoretical backbone distinguishes promotive effects (factors benefiting all learners), protective effects (factors offsetting risk), and compensatory mechanisms. Slomowitz et al. introduce "the seesaw metaphor" and provide "definitions and methodological guidelines for analysis and interpretation of promotive and protective effects, as well as compensatory mechanisms in academic resilience research". Appels et al. add guidelines for interpreting main and interaction effects in variable- and person-centered designs. (van Viersen et al. (2026))
  • A framework and operationalization of study designs and statistical approaches for studying academic resilience in literacy: The review provides a framework for studying academic resilience that distinguishes promotive, protective, and skill-enhancing factors in atypical literacy development. It aims to "provide a framework and operationalize study designs and statistical approaches for studying academic resilience", giving researchers concrete design and analysis tools for resilience research in word-level reading. (Appels et al. (2024))
  • Study academic resilience with tests of both main and interaction effects embedded in a full 2×2 risk-by-resilience-factor design: The paper's central methodological recommendation is that analyses of resilience in LD research must include "a statistical test of main and interaction effects" and "the full 2 × 2 conceptual matrix of presence/absence of a suspected resilience factor and high/low risk groups" (HR+, HR−, LR+, LR−) to determine gap-maintaining versus gap-closing effects. Without the low-risk group divided by factor presence, interactions cannot be tested and promotive versus protective status cannot be determined. (Slomowitz R. F. et al. (2025))

Claims

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Key Sources

  • van Viersen, S., Psyridou, M., & Torppa, M. (2026). General introduction to the special issue on resilience in learning. Learning and Instruction, 101, Article 102254. https://doi.org/10.1016/j.learninstruc.2025.102254
  • Appels, S., van Viersen, S., van Erp, S., Hornstra, L., & de Bree, E. (2024). A scoping review on word-reading resilience in literacy: Evaluating empirical evidence for protective factors. Learning and Instruction, 93, 101969. https://doi.org/10.1016/j.learninstruc.2024.101969
  • Slomowitz R. F., Narayan A. J., & McGrath L. M. (2025). Resilience research in learning disabilities: Guiding principles from developmental psychopathology. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2025.102090
Page metadata
Field Value
type research-method
id a-framework-and-operationalization-of-study-designs-and-statistical-approaches-for-studyin
title A framework and operationalization of study designs and statistical approaches for studying academic resilience in literacy
description The special issue's theoretical backbone distinguishes promotive effects (factors benefiting all learners), protective effects (factors offsetting risk), and compensatory mechanisms.
status review
generated by process:settle-candidates on 2026-10-22
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