Evidence map›Paper›PMID 37017861›Full record

ArticleJournal of autism and developmental disorders2024

Reliability of the Commonly Used and Newly-Developed Autism Measures.

Thomas W Frazier, Andrew J O Whitehouse, Susan R Leekam, Sarah J Carrington, Gail A Alvares, David W Evans, Antonio Y Hardan, Mirko Uljarević

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In one paragraph

Article in Journal of autism and developmental disorders, 2024. 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

8 authors.

Thomas W FrazierDepartment of Psychology, John Carroll University, Cleveland, OH, USA. tfrazier@jcu.edu.ORCID http://orcid.org/0000-0002-6951-2667
Andrew J O WhitehouseTelethon Kids Institute, University of Western Australia, Nedlands, Australia.
Susan R LeekamSchool of Psychology, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK.
Sarah J CarringtonSchool of Psychology, College of Health and Life Sciences, Aston University, Birmingham, UK.
Gail A AlvaresTelethon Kids Institute, University of Western Australia, Nedlands, Australia.
David W EvansDepartment of Psychology, Program in Neuroscience, Bucknell University, Lewisburg, PA, USA.
Antonio Y HardanDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Mirko UljarevićDepartment of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

Funding

A Big Data Approach Toward the Development of New Quantitative Autism Severity Scores from Existing InstrumentsR15MH129815 · NIMH · JOHN CARROLL UNIVERSITY · PI FRAZIER, THOMAS WILLIAM · 2022 to 2022
$385k
Autism Speaks 12776National Institute of Mental Health (NIMH) 1R15MH129815-01
6 · The paper itself

Abstract

purposeThe aim of the present study was to compare scale and conditional reliability derived from item response theory analyses among the most commonly used, as well as several newly developed, observation, interview, and parent-report autism instruments.

methodsWhen available, data sets were combined to facilitate large sample evaluation. Scale reliability (internal consistency, average corrected item-total correlations, and model reliability) and conditional reliability estimates were computed for total scores and for measure subscales.

resultsGenerally good to excellent scale reliability was observed for total scores for all measures, scale reliability was weaker for RRB subscales of the ADOS and ADI-R, reflecting the relatively small number of items for these measures. For diagnostic measures, conditional reliability tended to be very good (> 0.80) in the regions of the latent trait where ASD and non-ASD developmental disability cases would be differentiated. For parent-report scales, conditional reliability of total scores tended to be excellent (> 0.90) across very wide ranges of autism symptom levels, with a few notable exceptions.

conclusionsThese findings support the use of all of the clinical observation, interview, and parent-report autism symptom measures examined, but also suggest specific limitations that warrant consideration when choosing measures for specific clinical or research applications.

Indexed as

Autistic DisorderAdolescentAutism Spectrum DisorderChildChild, PreschoolFemaleHumansMaleParentsPsychiatric Status Rating ScalesPsychometricsReproducibility of ResultsAutismInterviewItem response theoryObservationQuestionnaireReliability

Identifiers

PMID37017861

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.