Evidence map›Paper›PMID 32125587›Full record

ArticleJournal of abnormal child psychology2020

Commentary on Application of the Bifactor S-1 Model to Multisource Ratings of ADHD/ODD Symptoms: An Appropriate Bifactor Model for Symptom Ratings.

Michael T Willoughby

Abstract readComment
PubMed Publisher
In one paragraph

Article in Journal of abnormal child psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Michael T WilloughbyRTI International, 3040 Cornwallis Road, Research Triangle Park, NC, 27709-2194, USA. mwilloughby@rti.org.ORCID http://orcid.org/0000-0002-8470-3533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

My commentary is organized into four sections. First, I summarize the reasons for the original interest in fitting symmetric bifactor models to ADHD data. Second, I summarize the concerns that Burns and colleagues raised with respect to fitting symmetric bifactor models to ADHD item-level data and describe their recommended alternative approach. Third, I raise two concerns that I had with their manuscript. Fourth, I conclude with a caveat and a general question about the merits of the continued study of the factor structure of ADHD symptoms.

Indexed as

Attention Deficit Disorder with HyperactivityHumansADHDBifactorfactor analysis

Identifiers

What OpenQuestion holds

Textmetadata
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.