Evidence map›Paper›PMID 29161187›Full record

ArticleMultivariate behavioral research

Network Mapping with GIMME.

Adriene M Beltz, Kathleen M Gates

Abstract read
In one paragraph

Article in Multivariate behavioral research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Trial
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  7. A primer on intensive longitudinal psychometrics.Behavior research methods · 2026
    Review
  8. Article
  9. Review
  10. Article
  11. Scoping Review of Experience Sampling Methodology Investigations of Posttraumatic Stress Disorder Symptoms.Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

21 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

2 authors.

Adriene M Beltza Department of Psychology , University of Michigan , Ann Arbor , MI , USA.
Kathleen M Gatesb Department of Psychology , University of North Carolina - Chapel Hill , Chapel Hill , NC , USA.

Funding

Network Connectivity Modeling of Heterogeneous Brain Data to Examine Ensembles of Activity Across Two Levels of DimensionalityR01EB022904 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GATES, KATHLEEN · 2016 to 2018
$1.1M
NIBIB NIH HHS R01 EB022904
6 · The paper itself

Abstract

Network science is booming! While the insights and images afforded by network mapping techniques are compelling, implementing the techniques is often daunting to researchers. Thus, the aim of this tutorial is to facilitate implementation in the context of GIMME, or group iterative multiple model estimation. GIMME is an automated network analysis approach for intensive longitudinal data. It creates person-specific networks that explain how variables are related in a system. The relations can signify current or future prediction that is common across people or applicable only to an individual. The tutorial begins with conceptual and mathematical descriptions of GIMME. It proceeds with a practical discussion of analysis steps, including data acquisition, preprocessing, program operation, a posteriori testing of model assumptions, and interpretation of results; throughout, a small empirical data set is analyzed to showcase the GIMME analysis pipeline. The tutorial closes with a brief overview of extensions to GIMME that may interest researchers whose questions and data sets have certain features. By the end of the tutorial, researchers will be equipped to begin analyzing the temporal dynamics of their heterogeneous time series data with GIMME.

Indexed as

Data Interpretation, StatisticalModels, StatisticalHumansLongitudinal StudiesPattern Recognition, AutomatedSoftwareTime FactorsConnectivityidiographic vs. nomothetic methodsintensive longitudinal datatime series analysisunified structural equation modeling

Identifiers

PMID29161187
PMCPMC6181449

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.