Evidence map›Paper›PMID 33100485›Full record

ArticleContemporary educational psychology2020

Language-Related Longitudinal Predictors of Arithmetic Word Problem Solving: A Structural Equation Modeling Approach.

Mercedes Spencer, Lynn S Fuchs, Douglas Fuchs

Abstract read
In one paragraph

Article in Contemporary educational psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mercedes SpencerVanderbilt University.
Lynn S FuchsVanderbilt University.
Douglas FuchsVanderbilt University.

Funding

THREE-TIERED PREVENTION MODEL TO BETTER SERVE ALL STUDENP30HD015052 · NICHD · VANDERBILT UNIVERSITY · PI DYKENS, ELISABETH MAY · 1985 to 2014
$18.6M
Cognitive and Neural Processes in Reading ComprehensionR01HD044073 · NICHD · VANDERBILT UNIVERSITY · PI CUTTING, LAURIE E · 2004 to 2019
$8.1M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HARRELL, FRANK E. · 2015 to 2019
$7.1M
Preventing and Understanding Mathematics DisabilityR01HD053714 · NICHD · VANDERBILT UNIVERSITY · PI FUCHS, LYNN S · 2007 to 2018
$5.5M
Word Problems, Language, & Comorbid Learning DisabilitiesP20HD075443 · NICHD · VANDERBILT UNIVERSITY · PI FUCHS, LYNN S · 2017 to 2021
$2.5M
NICHD NIH HHS P20 HD075443NICHD NIH HHS P30 HD015052NICHD NIH HHS R01 HD044073NICHD NIH HHS R01 HD053714NICHD NIH HHS U54 HD083211
6 · The paper itself

Abstract

We investigated the longitudinal relations between cognitive skills, specifically language-related skills, and word-problem solving in 340 children (6.10 to 9.02 years). We used structural equation modeling to examine whether word-problem solving, computation skill, working memory, nonverbal reasoning, oral language, and word reading fluency measured at second grade were associated with performance on measures of word-problem solving in fourth grade. Results indicated that prior word-problem solving, computation skill, nonverbal reasoning, and oral language were significantly associated with children's later word-problem solving. Multi-group modeling suggested that these relations were not significantly different for boys versus girls. Implications of these findings are discussed.

Indexed as

longitudinalmathematicsmultigroup modelingstructural equation modelingword problems

Identifiers

PMID33100485
PMCPMC7583141

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.