Evidence map›Paper›PMID 42897428›Full record

ArticleBehavior research methods2026

Introducing GABLE: Lightweight infrastructure for longitudinal experiments using Google Apps Script.

Ibrahim Berber, Ilke Kas, Tarun Sepuri, Brooke N Macnamara, M Cenk Çavuşoğlu, Amy L Wilson-Delfosse, Elizabeth A Krupinski, Philip J Smith, Soumya Ray

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Article in Behavior research methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ibrahim BerberDepartment of Computer and Data Sciences, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.ORCID http://orcid.org/0000-0003-0198-549X
Ilke KasDepartment of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, USA.
Tarun SepuriDepartment of Computer and Data Sciences, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA.
Brooke N MacnamaraDepartment of Psychological Sciences, Purdue University, West Lafayette, IN, USA.
M Cenk ÇavuşoğluDepartment of Electrical, Computer, and Systems Engineering, Case Western Reserve University, Cleveland, OH, USA.
Amy L Wilson-DelfosseCollege of Medicine, Northeast Ohio Medical University, Rootstown, OH, USA.
Elizabeth A KrupinskiDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.
Philip J SmithDepartment of Integrated Systems Engineering, The Ohio State University, Columbus, OH, USA.
Soumya RayDepartment of Computer and Data Sciences, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH, 44106, USA. sray@case.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Longitudinal studies are essential for understanding how behaviors, skills, and psychological states evolve over time. While online platforms have made study development easier, researchers still face major logistical challenges when managing multi-session studies, especially when coordinating large numbers of participants, session timing, reminders, and compensation. In this paper, we introduce GABLE (Google Apps script-Based Longitudinal Experimentation), a lightweight infrastructure built using Google Apps Script. GABLE automates participant scheduling, e-mail communication, session tracking, and compensation. We demonstrate its effectiveness through two real-world psychological studies involving more than 850 participants with 20 sessions, and discuss its benefits, limitations, and potential extensions. GABLE addresses many challenges of running large online longitudinal studies while limiting the need for custom infrastructure or manual intervention.

Indexed as

Mobile ApplicationsHumansInternetLongitudinal StudiesExperiment infrastructureLongitudinal studiesParticipant communicationStudy management

Identifiers

PMID42897428
PMCPMC13680532

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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.