ArticleStructural equation modeling : a multidisciplinary journal2017
Latent Class Analysis for Multiple Discrete Latent Variables: A Study on the Association Between Violent Behavior Drug-Using Behaviors.
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 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Latent Trajectories of Screen Time and Their Predictors in School-Aged Children: A Six-Year Longitudinal Analysis.Psychiatry investigation · 2026Article
- A latent class pattern mixture model for nonignorable nonresponses in multivariate categorical data.Computational statistics · 2025Article
- Latent class profile model with time-dependent covariates: a study on symptom patterning of patients for head and neck cancer.Journal of applied statistics · 2025Article
- Comorbid Prolonged Grief, PTSD, and Depression Trajectories for Bereaved Family Surrogates.JAMA network open · 2023Article
- Subtypes of early childhood caries predict future caries experience.Community dentistry and oral epidemiology · 2023Article
- To approach or to avoid: The quadripolar model of achievement motivation revisited in a Confucian-heritage context.Frontiers in psychology · 2022Article
- Latent class analysis of depression and anxiety among medical students during COVID-19 epidemic.BMC psychiatry · 2021Article
- Internet addiction and psychological distress among Chinese schoolchildren before and during the COVID-19 outbreak: A latent class analysis.Journal of behavioral addictions · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
This paper proposes a new type of latent class analysis, joint latent class analysis (JLCA), which provides a set of principles for the systematic identification of the subsets of joint patterns for multiple discrete latent variables. Inferences about the parameters are obtained by a hybrid method of EM and Newton-Raphson algorithms. We apply JLCA in an investigation of adolescent violent behavior and drug-using behaviors. The data are from 4,957 male high-school students who participated in the Youth Risk Behavior Surveillance System 2015. The JLCA approach identifies the different joint patterns of four latent variables: violent behavior, alcohol consumption, tobacco cigarette smoking, and other drug use. The JLCA uncovers four common violent behaviors and three representative behavioral patterns for each of three other latent variables. In addition, the JLCA supports three common joint classes, representing the most probable simultaneous patterns for being violent and being a drug user among adolescent males.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.