Cited by 54Reading and Literacy DevelopmentSecond Language Acquisition and LearningLanguage Development and Disorders

Extending the bounds of morphology instruction: teaching Latin roots facilitates academic word learning for English Learner adolescents

Crosson, Amy C., McKeown, Margaret G., Moore, Debra W., Ye, Feifei·2019·Reading and Writing

Integrity signals

Registry

Crossref · 10.1007/s11145-018-9885-y

Cites

64 of 64 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

Flagged first, then by citations

1 of the 65 references couldn’t be matched to a known paper.

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Authors
Crosson, A. C., McKeown, M. G., Moore, D. W., & Ye, F.
Affiliations
  • Pennsylvania State University (US)
  • University of Pittsburgh (US)
  • RAND Corporation (US)
Corresponding author
Crosson, Amy C.
Venue
Reading and Writing
Published
2018-07-17
Volume
32
Issue
3
Pages
689-727
ISSN
  • 0922-4777 (ISSN-L)
  • 1573-0905
OpenAlex
W2884893026
Cited by
54
References
65
Citations by year
2026: 2 · 2025: 6 · 2024: 7 · 2023: 7 · 2022: 10 · 2021: 7 · 2020: 7 · 2019: 6 · 2018: 2
FWCI
10.81
Type
journal article
Language
en
Open access
closed
Locations
Reading and Writing (publishedVersion)
Funders
  • Spencer Foundation (Award #201400167)
  • Institute of Education Sciences (R305A160401)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Reading and Literacy Development
  • Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
  • Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
Keywords
morphology instruction, Latin roots, academic vocabulary, English language learners, adolescents, word learning, morphological analysis, lexical access, orthographic representation, semantic representation, vocabulary intervention

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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