Evidence map›Paper›PMID 33387237›Full record

ArticleJournal of autism and developmental disorders2021

Testing the Latent Structure of the Autism Spectrum Quotient in a Sub-clinical Sample of University Students Using Factor Mixture Modelling.

Craig Leth-Steensen, Elena Gallitto, Kojo Mintah, Shelley Elizabeth Parlow

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Article in Journal of autism and developmental disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Craig Leth-SteensenCarleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada. Craig.LethSteensen@carleton.ca.
Elena GallittoUniversity of Ottawa, Ottawa, ON, Canada.ORCID http://orcid.org/0000-0002-5130-6224
Kojo MintahYork University, Toronto, ON, Canada.
Shelley Elizabeth ParlowCarleton University, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, factor mixture models (FMMs) were used to examine the latent structure underlying the Autism-Spectrum Quotient (AQ) among a sample of 633 undergraduate students. FMM represents a combination of latent-class, person-centered approaches and common-factor, variable-centered approaches to modeling population heterogeneity. Findings suggest the presence of either two or six latent classes with distinct profiles across the set of 50 AQ items. In addition, within each class, individuals can be further differentiated according to their scores on five latent factors. These results suggest the presence of phenotypical heterogeneity at the sub-clinical level in addition to that which is known to exist at the clinical level.

Indexed as

Autism Spectrum DisorderAutistic DisorderHumansStudentsUniversitiesAutism-spectrum quotientAutistic traitsFactor mixture modelsLatent class analysisSub-clinical population

Identifiers

PMID33387237

What OpenQuestion holds

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Registered trials

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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.