Evidence map›Paper›PMID 34737528›Full record

ArticleStructural equation modeling : a multidisciplinary journal2021

Measurement in Intensive Longitudinal Data.

Daniel McNeish, David P Mackinnon, Lisa A Marsch, Russell A Poldrack

Open access · greenAbstract read
In one paragraph

Article in Structural equation modeling : a multidisciplinary journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
10.0field-weighted citation impact, top 1% of its field
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

34 citing papers in PubMed, 91 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A primer on intensive longitudinal psychometrics.Behavior research methods · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Dynamic Modeling with Intensive Longitudinal Data: One-Step and Two-Step DSEM Approaches.Structural equation modeling : a multidisciplinary journal · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 3 institutions in 1 country.

Daniel McNeishArizona State University, Department of Psychology.
David P MackinnonArizona State University, Department of Psychology.
Lisa A MarschDartmouth College, Geisel School of Medicine.
Russell A PoldrackStanford University, Department of Psychology.
Arizona State University · USDartmouth College · USStanford University · US

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
Estimating Mediation Effects in Prevention StudiesR37DA009757 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MACKINNON, DAVID P · 2015 to 2024
$3.5M
Applying novel technologies and methods to inform the ontology of self-regulationUH2DA041713 · NIDA · DARTMOUTH COLLEGE · PI MARSCH, LISA A., POLDRACK, RUSSELL A · 2015 to 2017
$2.8M
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 P30 DA029926NIDA NIH HHS R37 DA009757NIDA NIH HHS UH2 DA041713NIDA NIH HHS UH3 DA041713
6 · The paper itself

Abstract

Technological advances have increased the prevalence of intensive longitudinal data as well as statistical techniques appropriate for these data, such as dynamic structural equation modeling (DSEM). Intensive longitudinal designs often investigate constructs related to affect or mood and do so with multiple item scales. However, applications of intensive longitudinal methods often rely on simple sums or averages of the administered items rather than considering a proper measurement model. This paper demonstrates how to incorporate measurement models into DSEM to (1) provide more rigorous measurement of constructs used in intensive longitudinal studies and (2) assess whether scales are invariant across time and across people, which is not possible when item responses are summed or averaged. We provide an example from an ecological momentary assessment study on self-regulation in adults with binge eating disorder and walkthrough how to fit the model in M

Identifiers

PMID34737528
PMCPMC8562472
OpenAlexW3165428107

What OpenQuestion holds

Textmetadata
LicenceTDM
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.