Evidence map›Paper›PMID 31588147›Full record

ArticleExceptional children2019

The Relationship Between Study Quality and the Effects of Supplemental Reading Interventions: A Meta-Analysis.

Christy R Austin, Jeanne Wanzek, Nancy K Scammacca, Sharon Vaughn, Samantha A Gesel, Rachel Donegan, Morgan Engelmann

Abstract read
In one paragraph

Article in Exceptional children, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 4 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

6 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. 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

7 authors.

Christy R AustinThe University of Texas at Austin.
Jeanne WanzekVanderbilt University.
Nancy K ScammaccaThe University of Texas at Austin.
Sharon VaughnThe University of Texas at Austin.
Samantha A GeselVanderbilt University.
Rachel DoneganVanderbilt University.
Morgan EngelmannThe University of Texas at Austin.

Funding

Texas Center for Learning DisabilitiesP50HD052117 · NICHD · UNIVERSITY OF HOUSTON · PI FLETCHER, JACK M · 2006 to 2023
$26.9M
Research Project: Sensory and Multisensory Contributions to AutismU54HD083211 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DYKENS, ELISABETH MAY · 2015 to 2019
$7.1M
NICHD NIH HHS P50 HD052117NICHD NIH HHS U54 HD083211
6 · The paper itself

Abstract

Empirical studies investigating supplemental reading interventions for students with or at-risk for reading disabilities in the early elementary grades have demonstrated a range of effect sizes. Identifying the findings from high quality research can provide greater certainty of findings related to the effectiveness of supplemental reading interventions. This meta-analysis investigated how four variables of study quality (study design, statistical treatment, Type I error, and fidelity of implementation) were related to effect sizes from standardized measures of foundational reading skills and language/comprehension. The results from 88 studies indicated that year of publication was a significant predictor of effect sizes for both standardized measures of foundational reading skills and language/comprehension, with more recent studies demonstrating smaller effect sizes. Results also demonstrated that with the exception of research design predicting effect sizes on foundational reading skills measures, study quality was not related to the effects of supplemental reading interventions. Implications for research and practice are discussed.

Indexed as

meta-analysisreading interventionstudy quality

Identifiers

PMID31588147
PMCPMC6777867

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.