Claims

Morphological awareness has a significant direct effect on reading comprehension controlling for word reading and vocabulary knowledge (β = .146)

Claim · All claims
Evidence · 1 study · quant-synthesis r? · q4 · i1 small
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q4 i1 MA significantly predicts reading comprehension over and above word reading and vocabulary knowledge (β = .146). → Zhang 2023

Evidence

Zhang 2023

Zhang, D., Ke, S. (E.), & Mo, Y. (2023). Morphology in Reading Comprehension Among School-Aged Readers of English: A Synthesis and Meta-Analytic Structural Equation Modeling Study. Journal of Educational Psychology, 115(5), 683–699. https://doi.org/10.1037/edu0000797

q4 · i1 · quant-synthesis · r?

Stage 2 TSSEM fitted the theory-driven path model to the pooled correlation matrix (k = 107, N = 21,818). The model showed good fit (CFI = 0.994, RMSEA = 0.039). The direct effect was "β = .146 [.082, .208]", controlling for word reading and vocabulary knowledge.

"For the direct effect of MA on reading comprehension over and above word reading and vocabulary knowledge, β = .146 [.082, .208]."

Discussion

Learner Variables

Page metadata
Field Value
type claim
id ma-direct-effect-reading-comprehension
title Morphological awareness has a significant direct effect on reading comprehension controlling for word reading and vocabulary knowledge (β = .146)
description Morphological awareness has a significant direct effect on reading comprehension controlling for word reading and vocabulary knowledge (β = .146)
status review
evidence_strength moderate
newest_evidence 2023
generated by process:wiki-ingest on 2026-10-24
trust unverified — no one has confirmed this page's content
sources 1 — zhang-2023

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