Evidence map›Paper›PMID 29075091›Full record

ArticleStructural equation modeling : a multidisciplinary journal2017

An Empirical Assessment of the Sensitivity of Mixture Models to Changes in Measurement.

Veronica T Cole, Daniel J Bauer, Andrea M Hussong, Michael L Giordano

Abstract read
In one paragraph

Article in Structural equation modeling : a multidisciplinary journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Veronica T ColeDepartment of Psychology and Neuroscience, The University of North Carolina at Chapel Hill.
Daniel J BauerDepartment of Psychology and Neuroscience, The University of North Carolina at Chapel Hill.
Andrea M HussongDepartment of Psychology and Neuroscience, The University of North Carolina at Chapel Hill.
Michael L GiordanoDepartment of Psychology and Neuroscience, The University of North Carolina at Chapel Hill.

Funding

Harmonizing substance use and disorder measures to facilitate multistudy analysesR01DA034636 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAUER, DANIEL J · 2013 to 2017
$2.9M
Mixture Modeling of Patterns of Substance Use: Taking into Account Measurement BiasF31DA040334 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COLE, VERONICA T. · 2015 to 2016
$67k
NIDA NIH HHS F31 DA040334NIDA NIH HHS R01 DA034636
6 · The paper itself

Abstract

The current study explored the extent to which variations in self-report measures across studies can produce differences in the results obtained from mixture models. Data (

Identifiers

PMID29075091
PMCPMC5653313

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.