Evidence map›Paper›PMID 32774078›Full record

ArticleStructural equation modeling : a multidisciplinary journal2020

Model Fit Estimation for Multilevel Structural Equation Models.

Lance M Rappaport, Ananda B Amstadter, Michael C Neale

Abstract read
In one paragraph

Article in Structural equation modeling : a multidisciplinary journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

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  8. Mediating Role of Physical Activity on Associations Between Neighborhood Environments and Mental Health in China.Journal of urban health : bulletin of the New York Academy of Medicine · 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

3 authors.

Lance M RappaportVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University.
Ananda B AmstadterVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University.
Michael C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University.

Funding

Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
NIMH NIH HHS T32 MH020030
6 · The paper itself

Abstract

Structural equation modeling (SEM) provides an extensive toolbox to analyze the multivariate interrelations of directly observed variables and latent constructs. Multilevel SEM integrates mixed effects to examine the covariances between observed and latent variables across many levels of analysis. However, while it is necessary to consider model fit, traditional indices are largely insufficient to analyze model fit at each level of analysis. The present paper reviews i) the partially-saturated model fit approach first suggested by Ryu and West (2009) and ii) an alternative model parameterization that removes the multilevel data structure. We next describe the implementation of an algorithm to compute partially-saturated model fit for 2-level structural equation models in the open source SEM package,

Indexed as

confirmatory factor analysismodel fitmultilevel structural equation modelnonindependence

Identifiers

PMID32774078
PMCPMC7410097

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.