Evidence map›Paper›PMID 37118647›Full record

ArticleBehavior research methods2024

Dynamic structural equation models with binary and ordinal outcomes in Mplus.

Daniel McNeish, Jennifer A Somers, Andrea Savord

Abstract read
In one paragraph

Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. The power of friendships in adolescents' daily lives: Bi-directional within-person associations between friendship interaction quality and affect.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026
    Article
  3. Article
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  7. Article
  8. Modeling the reciprocal dynamic between alcohol and suicide urges among college students: Ecological momentary assessment study.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
  9. An initial exploration of the daily associations between opioid use and acute suicide risk: The role of posttraumatic stress symptoms.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
  10. Article
  11. Article
  12. Observational
  13. Affect synchrony and emotion coregulation are separable processes: Evaluation of relational stress and mother-infant synchrony.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2025
    Article
  14. Daily reciprocal relationships between affect, physical activity, and sleep in middle and later life.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Article
  15. Article
  16. Article
  17. Dynamic Structural Equation Models with Missing Data: Data Requirements onStructural equation modeling : a multidisciplinary journal · 2024
    Article
  18. 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

3 authors.

Daniel McNeishArizona State University, PO Box 871104, Tempe, AZ, 85287, USA. dmcneish@asu.edu.
Jennifer A SomersUniversity of California, Los Angeles, Los Angeles, CA, USA.
Andrea SavordArizona State University, PO Box 871104, Tempe, AZ, 85287, USA.

Funding

PREVENTION RESEARCH TRAINING:URBAN CHILDREN'S MENT HLTHT32MH015750 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHRISTINE DUNKEL SCHETTER · 1985 to 2026
$6.2M
Applying novel technologies and methods to inform the ontology of self-regulationUH3DA041713 · NIDA · DARTMOUTH COLLEGE · PI MARSCH, LISA A., POLDRACK, RUSSELL A · 2018 to 2019
$2.5M
NIDA NIH HHS UH3 DA041713NIMH NIH HHS T32 MH015750
6 · The paper itself

Abstract

Intensive longitudinal designs are increasingly popular, as are dynamic structural equation models (DSEM) to accommodate unique features of these designs. Many helpful resources on DSEM exist, though they focus on continuous outcomes while categorical outcomes are omitted, briefly mentioned, or considered as a straightforward extension. This viewpoint regarding categorical outcomes is not unwarranted for technical audiences, but there are non-trivial nuances in model building and interpretation with categorical outcomes that are not necessarily straightforward for empirical researchers. Furthermore, categorical outcomes are common given that binary behavioral indicators or Likert responses are frequently solicited as low-burden variables to discourage participant non-response. This tutorial paper is therefore dedicated to providing an accessible treatment of DSEM in Mplus exclusively for categorical outcomes. We cover the general probit model whereby the raw categorical responses are assumed to come from an underlying normal process. We cover probit DSEM and expound why existing treatments have considered categorical outcomes as a straightforward extension of the continuous case. Data from a motivating ecological momentary assessment study with a binary outcome are used to demonstrate an unconditional model, a model with disaggregated covariates, and a model for data with a time trend. We provide annotated Mplus code for these models and discuss interpretation of the results. We then discuss model specification and interpretation in the case of an ordinal outcome and provide an example to highlight differences between ordinal and binary outcomes. We conclude with a discussion of caveats and extensions.

Indexed as

Models, StatisticalHumansCategorical dataDiscrete dataDSEMIntensive longitudinal dataTime-series analysis

Identifiers

PMID37118647
PMCPMC10611901

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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.