Evidence map›Paper›PMID 38657963›Full record

ReviewAmerican journal on intellectual and developmental disabilities2024

Measurement Invariance in Intellectual and Developmental Disability Research.

Cristan Farmer, Aaron J Kaat, Michael C Edwards, Luc Lecavalier

Abstract readReview
In one paragraph

Review in American journal on intellectual and developmental disabilities, 2024. 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.

  1. Review
  2. Article
  3. Article
  4. 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.

Cristan FarmerCristan Farmer, National Institute of Mental Health.
Aaron J KaatAaron J. Kaat, Northwestern University.
Michael C EdwardsMichael C. Edwards, Arizona State University and Vector Psychometric Group.
Luc LecavalierLuc Lecavalier, Ohio State University.

Funding

Clinical and Behavioral Phenotyping of Autism and Related DisordersZIAMH002868 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI SWEDO, SUSAN · 2009 to 2017
$17.8M
Neurodevelopmental and Behavioral Phenotyping ZICMH002961 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI THURM, AUDREY · 2017 to 2025
$12.6M
Intramural NIH HHS ZIA MH002868Intramural NIH HHS ZIC MH002961
6 · The paper itself

Abstract

Measurement invariance (MI) is a psychometric property of an instrument indicating the degree to which scores from an instrument are comparable across groups. In recent years, there has been a marked uptick in publications using MI in intellectual and developmental disability (IDD) samples. Our goal here is to provide an overview of why MI is important to IDD researchers and to describe some challenges to evaluating it, with an eye towards nudging our subfield into a more thoughtful and measured interpretation of studies using MI.

Indexed as

Developmental DisabilitiesIntellectual DisabilityPsychometricsBiomedical ResearchHumansdifferential item functioningfactor analysisitem response theorymeasurement invariancepsychometricsstructural equation modelingvalidity theory

Identifiers

PMID38657963
PMCPMC11095410

What OpenQuestion holds

Textmetadata
LicenceTDM
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.