Evidence map›Paper›PMID 36584064›Full record

ArticlePloS one2022

Measurement invariance of the strengths and difficulties questionnaire across socioeconomic status and ethnicity from ages 3 to 17 years: A population cohort study.

Umar Toseeb, Olakunle Oginni, Richard Rowe, Praveetha Patalay

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

  1. Article
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  8. Harmonization of SDQ and ASEBA Phenotypes: Measurement Variance Across Cohorts.Journal of psychopathology and behavioral assessment · 2025
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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.

Umar ToseebDepartment of Education, University of York, York, United Kingdom.ORCID 0000-0002-7536-2722
Olakunle OginniInstitute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.ORCID 0000-0002-2340-9429
Richard RoweDepartment of Psychology, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0001-5556-3650
Praveetha PatalayCentre for Longitudinal Studies and MRC Unit for Lifelong Health and Ageing, University College London, London, United Kingdom.

Funding

Medical Research Council MC_UU_00019/1Medical Research Council MC_UU_00019/3Medical Research Council MC_UU_00019/4
6 · The paper itself

Abstract

Mental health inequalities along ethnic and socioeconomic groupings are well documented. The extent to which these observed inequalities are genuine or reflect measurement differences is unclear. In the current study we sought to investigate this in a large population-based sample of children and adolescents in the United Kingdom. The main objective of the study was to establish whether the parent-report Strengths and Difficulties Questionnaire (SDQ) was invariant across ethnicity and socioeconomic status groupings at six time points from 3 to 17 years (maximum N = 17,274). First, we fitted a series of confirmatory factor analysis models to the data and confirmed that the five-factor structure (emotional problems; peer problems; conduct problems; hyperactivity/inattention; and prosocial behaviour) had acceptable fit at ages 5, 7, 11, and 14 years. Next, we tested configural, metric, and scalar invariance at these time points and demonstrated scalar invariance across household income, parent highest education, and ethnicity categories. The five-factor structure did not fit well at ages 3 and 17 years; therefore invariance was not tested at these ages. These findings suggest the parent-report SDQ can be used to measure socioeconomic and ethnic inequalities in mental health from ages 5-14 years but more consideration is required outside these ages.

Indexed as

EthnicityMental HealthAdolescentChildChild, PreschoolCohort StudiesHumansPsychometricsSurveys and Questionnaires

Identifiers

PMID36584064
PMCPMC9803244

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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.