Evidence map›Paper›PMID 31162463›Full record

ReviewJournal of Intelligence2018

A Misuse of IQ Scores: Using the Dual Discrepancy/Consistency Model for Identifying Specific Learning Disabilities.

A Alexander Beaujean, Nicholas F Benson, Ryan J McGill, Stefan C Dombrowski

Abstract readReview
In one paragraph

Review in Journal of Intelligence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Intelligence in Education.Journal of Intelligence · 2019
    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

4 authors.

A Alexander BeaujeanPsychology & Neuroscience Department, Baylor University, Waco, TX 76798, USA. Alex_Beaujean@baylor.edu.ORCID 0000-0001-7007-7968
Nicholas F BensonEducational Psychology Department, Baylor University, Waco, TX 76798, USA. Nicholas_Benson@baylor.edu.ORCID 0000-0001-8180-4243
Ryan J McGillSchool of Education, College of William & Mary, Williamsburg, VA 23187, USA. rmcgill@wm.edu.ORCID 0000-0002-5138-0694
Stefan C DombrowskiDepartment of Graduate Education, Leadership and Counseling, Rider University, Lawrenceville, NJ 08648, USA. sdombrowski@rider.edu.ORCID 0000-0002-8057-3751

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this article is to describe the origins of patterns of strengths and weaknesses (PSW) methods for identifying specific learning disabilities (SLD) and to provide a comprehensive review of the assumptions and evidence supporting the most commonly-used PSW method in the United States: Dual Discrepancy/Consistency (DD/C). Given their use in determining whether students have access to special education and related services, it is important that any method used to identify SLD have supporting evidence. A review of the DD/C evidence indicates it cannot currently be classified as an evidence-based method for identifying individuals with a SLD. We show that the DD/C method is unsound for three major reasons: (a) it requires test scores have properties that they fundamentally lack, (b) lack of experimental utility evidence supporting its use, and (c) evidence supporting the inability of the method to identify SLD accurately.

Indexed as

cognitive profile analysisdual discrepancy/consistencypattern of strengths and weaknessesspecific learning disability

Identifiers

PMID31162463
PMCPMC6480769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.