Evidence map›Paper›PMID 38914788›Full record

ArticleBehavior research methods2024

SEMA

Sarah T O'Brien, Nerisa Dozo, Jordan D X Hinton, Ella K Moeck, Rio Susanto, Glenn T Jayaputera, Richard O Sinnott, Duy Vu, Mario Alvarez-Jimenez, John Gleeson and 1 more

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 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Daily state distress tolerance and alcohol use motivation among individuals with posttraumatic stress disorder symptoms who endorse hazardous alcohol use.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  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

11 authors.

Sarah T O'BrienMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia.ORCID http://orcid.org/0000-0002-1439-6662
Nerisa DozoMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia.
Jordan D X HintonSchool of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia.ORCID http://orcid.org/0000-0003-0922-5620
Ella K MoeckMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia.
Rio SusantoMelbourne eResearch Group, School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
Glenn T JayaputeraMelbourne eResearch Group, School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
Richard O SinnottMelbourne eResearch Group, School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
Duy VuMelbourne eResearch Group, School of Computing and Information Systems, University of Melbourne, Melbourne, Australia.
Mario Alvarez-JimenezOrygen, Melbourne, Australia.
John GleesonHealthy Brain and Mind Research Centre, The School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia.
Peter KovalMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Australia. p.koval@unimelb.edu.au.ORCID http://orcid.org/0000-0003-2460-0943

Funding

Australian Research Council DE190100203
6 · The paper itself

Abstract

Traditionally, behavioral, social, and health science researchers have relied on global/retrospective survey methods administered cross-sectionally (i.e., on a single occasion) or longitudinally (i.e., on several occasions separated by weeks, months, or years). More recently, social and health scientists have added daily life survey methods (also known as intensive longitudinal methods or ambulatory assessment) to their toolkit. These methods (e.g., daily diaries, experience sampling, ecological momentary assessment) involve dense repeated assessments in everyday settings. To facilitate research using daily life survey methods, we present SEMA

Indexed as

SmartphoneHumansLongitudinal StudiesMobile ApplicationsSurveys and QuestionnairesAmbulatory assessmentDaily diary methodDaily lifeEcological momentary assessment (EMA)Experience sampling method (ESM)Intensive longitudinal methodsSmartphone surveys

Identifiers

PMID38914788
PMCPMC11362263

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.