This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (493)

Published on in Vol 21, No 8 (2019): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12811, first published .
Identifying Attrition Phases in Survey Data: Applicability and Assessment Study

Identifying Attrition Phases in Survey Data: Applicability and Assessment Study

Identifying Attrition Phases in Survey Data: Applicability and Assessment Study

Authors of this article:

Camille J Hochheimer1 Author Orcid Image ;   Roy T Sabo1 Author Orcid Image ;   Robert A Perera1 Author Orcid Image ;   Nitai Mukhopadhyay1 Author Orcid Image ;   Alex H Krist2 Author Orcid Image
Article Authors Cited by (14) Tweetations (11) Metrics

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  1. Suppan L, Abbas M, Catho G, Stuby L, Regard S, Harbarth S, Achab S, Suppan M. Impact of a Serious Game on the Intention to Change Infection Prevention and Control Practices in Nursing Homes During the COVID-19 Pandemic: Protocol for a Web-Based Randomized Controlled Trial. JMIR Research Protocols 2020;9(12):e25595 View
  2. Sturny L, Regard S, Larribau R, Niquille M, Savoldelli G, Sarasin F, Schiffer E, Suppan L. Differences in Basic Life Support Knowledge Between Junior Medical Students and Lay People: Web-Based Questionnaire Study. Journal of Medical Internet Research 2021;23(2):e25125 View
  3. Quittkat H, Düsing R, Holtmann F, Buhlmann U, Svaldi J, Vocks S. Perceived Impact of Covid-19 Across Different Mental Disorders: A Study on Disorder-Specific Symptoms, Psychosocial Stress and Behavior. Frontiers in Psychology 2020;11 View
  4. Suppan M, Abbas M, Catho G, Stuby L, Regard S, Achab S, Harbarth S, Suppan L. Impact of a Serious Game (Escape COVID-19) on the Intention to Change COVID-19 Control Practices Among Employees of Long-term Care Facilities: Web-Based Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(3):e27443 View
  5. Eerola T, Armitage J, Lavan N, Knight S. Online Data Collection in Auditory Perception and Cognition Research: Recruitment, Testing, Data Quality and Ethical Considerations. Auditory Perception & Cognition 2021;4(3-4):251 View
  6. Spennemann D. Persistence and Attrition among Participants in a Multi-Page Online Survey Recruited via Reddit’s Social Media Network. Social Sciences 2022;11(2):31 View
  7. Hochheimer C, Sabo R. Testing for Phases of Dropout Attrition Using Change-Point Hazard Models. Journal of Survey Statistics and Methodology 2022;10(4):1079 View
  8. Suppan M, Stuby L, Harbarth S, Fehlmann C, Achab S, Abbas M, Suppan L. Nationwide Deployment of a Serious Game Designed to Improve COVID-19 Infection Prevention Practices in Switzerland: Prospective Web-Based Study. JMIR Serious Games 2021;9(4):e33003 View
  9. MacDonell-Yilmaz R, Anderson A, Hirway P, Welch J. Development and Validation of Pediatric Opioid Analgesia Self-Instruction System (PedOASIS): An Opioid Knowledge Tool for Pediatric Clinicians. Journal of Pediatric Hematology/Oncology 2022;44(1):e204 View
  10. Schleicher M, Unnikrishnan V, Pryss R, Schobel J, Schlee W, Spiliopoulou M. Prediction meets time series with gaps: User clusters with specific usage behavior patterns. Artificial Intelligence in Medicine 2023;142:102575 View
  11. Stogiannos N, O'Regan T, Scurr E, Litosseliti L, Pogose M, Harvey H, Kumar A, Malik R, Barnes A, McEntee M, Malamateniou C. AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers. Radiography 2024;30(2):612 View
  12. Adegboye O, Churchill J, Moorjani J, Johnson H, Capper S, Booker J, Parnham A, Lau M, Sangar V, Faivre-Finn C. The Development and Feasibility of a Novel Electronic Patient-Reported Outcome Measures (Eproms) Questionnaire in patients with penile cancer. Clinical Genitourinary Cancer 2024;22(5):102168 View

Books/Policy Documents

  1. Schleicher M, Pryss R, Schlee W, Spiliopoulou M. Artificial Intelligence in Medicine. View