Evidence map›Paper›PMID 31844424›Full record

ArticleChild development perspectives2016

Latent Class Analysis for Developmental Research.

Stephanie T Lanza

Abstract read
In one paragraph

Article in Child development perspectives, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 222 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
222citing papers in PubMed, 1 pooled it
–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

222 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Cannabis and Tobacco Product Use Classes and Psychosocial Correlates Among US Young Adults.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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162 more citing papers are in PubMed but not listed here.

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

1 author.

Stephanie T LanzaThe Pennsylvania State University, Brittany Rhoades Cooper, Washington State University.

Funding

THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI LANZA, STEPHANIE T · 1996 to 2014
$24.5M
Pilot, Mentoring, and Professional Development CoreP50DA039838 · NIDA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, RUNZE · 2015 to 2019
$13.9M
Advancing Tobacco Research by Integrating Systems Science and Mixture ModelsR01CA168676 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI LANZA, STEPHANIE T · 2012 to 2014
$498k
NCI NIH HHS R01 CA168676NIDA NIH HHS P50 DA010075NIDA NIH HHS P50 DA039838
6 · The paper itself

Abstract

In this article, we consider the broad applicability of latent class analysis (LCA) and related approaches to advance research on child development. First, we describe the role of person-centered methods such as LCA in developmental research, and review prior applications of LCA to the study of development and related areas of research. Then we present practical considerations when applying LCA in developmental research, including model selection and statistical power. Finally, we introduce several recent methodological innovations in LCA, including causal inference in LCA, predicting a distal outcome from latent class membership, and latent class moderation (in which LCA quantifies multidimensional moderators of effects in observational and experimental studies), and we discuss their potential to advance developmental science. We conclude with suggestions for ongoing developmental research using LCA.

Indexed as

latent class analysislatent class moderationlatent risk classes

Identifiers

PMID31844424
PMCPMC6914261

What OpenQuestion holds

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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.