Evidence map›Paper›PMID 28824197›Full record

ArticleExceptional children2017

Child-Level Predictors of Responsiveness to Evidence-Based Mathematics Intervention.

Sarah R Powell, Paul T Cirino, Amelia S Malone

Abstract read
In one paragraph

Article in Exceptional children, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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.

Sarah R PowellUniversity of Texas at Austin.
Paul T CirinoUniversity of Houston.
Amelia S MaloneVanderbilt University.

Funding

THREE-TIERED PREVENTION MODEL TO BETTER SERVE ALL STUDENP30HD015052 · NICHD · VANDERBILT UNIVERSITY · PI HARRELL, FRANK E. · 1985 to 2014
$18.6M
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
Word Problems, Language, and Comorbid Learning DisabilitiesR24HD075443 · NICHD · VANDERBILT UNIVERSITY · PI FUCHS, LYNN S · 2012 to 2015
$1.9M
NICHD NIH HHS P20 HD075443NICHD NIH HHS P30 HD015052NICHD NIH HHS R01 HD053714NICHD NIH HHS R24 HD075443
6 · The paper itself

Abstract

We identified child-level predictors of responsiveness to 2 types of mathematics (calculation and word-problem) intervention among 2nd-grade children with mathematics difficulty. Participants were 250 children in 107 classrooms in 23 schools pretested on mathematics and general cognitive measures and posttested on mathematics measures. We assigned classrooms randomly assigned to calculation intervention, word-problem intervention, or business-as-usual control. Intervention lasted 17 weeks. Path analyses indicated that scores on working memory and language comprehension assessments moderated responsiveness to calculation intervention. No moderators were identified for responsiveness to word-problem intervention. Across both intervention groups and the control group, attentive behavior predicted both outcomes. Initial calculation skill predicted the calculation outcome, and initial language comprehension predicted word-problem outcomes. These results indicate that screening for calculation intervention should include a focus on working memory, language comprehension, attentive behavior, and calculations. Screening for word-problem intervention should focus on attentive behavior and word problems.

Indexed as

calculationsinterventionmathematicsresponsivenessword problems

Identifiers

PMID28824197
PMCPMC5560604

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.