Word attack and the word attack × max P→O surprisal interaction add variance beyond phonology, indicating phonology-to-orthography knowledge contributes to SfV performance¶
Claim · All claims
Evidence · 1 study (2 entries) · associationalr2·q2
Currency · newest study 2022 · 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.
q2 i? The phonology-orthography connection model added an extra 13.61% child-level, 0.90% word-level, and 15.52% school-level variance above the phonological predictor model, with a significant word attack × max P→O surprisal interaction. → Edwards 2022
q2 i? Max P→O surprisal did not contribute significantly as a main effect across participants, while the interaction showed better decoders were impacted by greater surprisal. → Edwards 2022 (2)
Evidence¶
Edwards 2022¶
Edwards, A. A., Steacy, L. M., Seigelman, N., Rigobon, V. M., Kearns, D. M., Rueckl, J. G., & Compton, D. L. (2022). Unpacking the Unique Relationship Between Set for Variability and Word Reading Development: Examining Word- and Child-Level Predictors of Performance. Journal of Educational Psychology, 114(6). https://doi.org/10.1037/edu0000696
q2 · i? · associational · r2
Model 3 of the cross-classified analysis, adding max P→O surprisal and word attack. The article reports the model "explained 69.44% of the child-level variance" with the printed extra variance above the phonological predictor model.
"This model explained 69.44% of the child-level variance, 48.69% of the word-level variance, and 92.18% of the school-level variance, an extra 13.61%, 0.90%, and 15.52% respectively above the phonological predictor model."
Edwards 2022 (2)¶
Edwards, A. A., Steacy, L. M., Seigelman, N., Rigobon, V. M., Kearns, D. M., Rueckl, J. G., & Compton, D. L. (2022). Unpacking the Unique Relationship Between Set for Variability and Word Reading Development: Examining Word- and Child-Level Predictors of Performance. Journal of Educational Psychology, 114(6). https://doi.org/10.1037/edu0000696
q2 · i? · associational · r2
Results text describing the Figure 1 interaction in the phonology-orthography connection predictor model. The interaction was significant, whereas the article reports order, inattention, and max P→O surprisal main effects did not contribute significantly.
"The interaction between word attack and max P→O surprisal is depicted in Figure 1 and shows that those with better decoding skills are impacted by greater max P→O surprisal"
Discussion¶
Related Claims¶
- Word-level features predict SfV item difficulty: significant associations with length, order, and number of competitors, but not frequency, concreteness, or surprisal — related
- Phonological predictors (phonological awareness and number of phonological competitors) add unique variance to SfV item performance beyond general predictors — related
- Set for Variability performance is strongly correlated with word identification, word attack, phonological awareness, and vocabulary in grades 2–5 — related
- Word identification adds unique variance and moderates SfV performance, with a three-way word attack × word identification × max P→O surprisal interaction — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
sfv-word-attack-surprisal-interaction-add-variance |
title |
Word attack and the word attack × max P→O surprisal interaction add variance beyond phonology, indicating phonology-to-orthography knowledge contributes to SfV performance |
description |
Word attack and the word attack × max P→O surprisal interaction add variance beyond phonology, indicating phonology-to-orthography knowledge contributes to SfV performance |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2022 |
generated |
by process:wiki-ingest on 2026-10-24 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — edwards-2022, edwards-2022-2 |
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