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

New Methods (956)

Published on in Vol 18, No 8 (2016): August

Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Authors of this article:

Jordan Carpenter1 Author Orcid Image ;   Patrick Crutchley1, 2 Author Orcid Image ;   Ran D Zilca3 Author Orcid Image ;   H Andrew Schwartz2, 4 Author Orcid Image ;   Laura K Smith1 Author Orcid Image ;   Angela M Cobb5 Author Orcid Image ;   Acacia C Parks3, 5 Author Orcid Image
Article Authors Cited by (45) Tweetations (35) Metrics

Journals

  1. Attridge M, Morfitt R, Roseborough D, Jones E. Internet-Based Cognitive-Behavioral Therapy for College Students With Anxiety, Depression, Social Anxiety, or Insomnia: Four Single-Group Longitudinal Studies of Archival Commercial Data and Replication of Employee User Study. JMIR Formative Research 2020;4(7):e17712 View
  2. Schotanus-Dijkstra M, Drossaert C, Bohlmeijer E. People’s Motives to Participate in a Positive Psychology Intervention with Email Support and Who Might Benefit Most?. International Journal of Applied Positive Psychology 2019;3(1-3):1 View
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  6. Luhmann M. Using Big Data to study subjective well-being. Current Opinion in Behavioral Sciences 2017;18:28 View
  7. Görges F, Oehler C, von Hirschhausen E, Hegerl U, Rummel-Kluge C. GET.HAPPY - Acceptance of an internet-based self-management positive psychology intervention for adult primary care patients with mild and moderate depression or dysthymia: A pilot study. Internet Interventions 2018;12:26 View
  8. Bakker D, Rickard N. Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism. Journal of Affective Disorders 2018;227:432 View
  9. Sanders C, Schueller S, Parks A, Howell R. Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials. Journal of Medical Internet Research 2019;21(6):e13253 View
  10. Morris R, Kouddous K, Kshirsagar R, Schueller S. Towards an Artificially Empathic Conversational Agent for Mental Health Applications: System Design and User Perceptions. Journal of Medical Internet Research 2018;20(6):e10148 View
  11. Fleming T, Bavin L, Lucassen M, Stasiak K, Hopkins S, Merry S. Beyond the Trial: Systematic Review of Real-World Uptake and Engagement With Digital Self-Help Interventions for Depression, Low Mood, or Anxiety. Journal of Medical Internet Research 2018;20(6):e199 View
  12. Görges F, Oehler C, von Hirschhausen E, Hegerl U, Rummel‐Kluge C. GET.HAPPY2 – User perspectives on an internet‐based self‐management positive psychology intervention among persons with and without depression: Results from a retrospective survey. Journal of Clinical Psychology 2020;76(6):1030 View
  13. Cobb A, Stone B, Parks A, Julio L. L’EFFICACITÉ DES INTERVENTIONS FAVORISANT LE BONHEUR : UNE SYNTHÈSE. Revue québécoise de psychologie 2017;38(1):159 View
  14. Smith B, Shatté A, Perlman A, Siers M, Lynch W. Improvements in Resilience, Stress, and Somatic Symptoms Following Online Resilience Training. Journal of Occupational & Environmental Medicine 2018;60(1):1 View
  15. Bakker D, Kazantzis N, Rickwood D, Rickard N. A randomized controlled trial of three smartphone apps for enhancing public mental health. Behaviour Research and Therapy 2018;109:75 View
  16. Boucher E, Moskowitz J, Kackloudis G, Stafford J, Kwok I, Parks A. Immediate and Long-Term Effects of an 8-Week Digital Mental Health Intervention on Adults With Poorly Managed Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(8):e18578 View
  17. Yarosh S, Schueller S. “Happiness Inventors”: Informing Positive Computing Technologies Through Participatory Design With Children. Journal of Medical Internet Research 2017;19(1):e14 View
  18. Bakker D, Kazantzis N, Rickwood D, Rickard N. Development and Pilot Evaluation of Smartphone-Delivered Cognitive Behavior Therapy Strategies for Mood- and Anxiety-Related Problems: MoodMission. Cognitive and Behavioral Practice 2018;25(4):496 View
  19. Baumel A, Muench F, Edan S, Kane J. Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis. Journal of Medical Internet Research 2019;21(9):e14567 View
  20. Jake-Schoffman D, Silfee V, Waring M, Boudreaux E, Sadasivam R, Mullen S, Carey J, Hayes R, Ding E, Bennett G, Pagoto S. Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps. JMIR mHealth and uHealth 2017;5(12):e190 View
  21. Muñoz A, Camacho E, Torous J. Marketplace and Literature Review of Spanish Language Mental Health Apps. Frontiers in Digital Health 2021;3 View
  22. Boucher E, Ward H, Stafford J, Parks A. Effects of a Digital Mental Health Program on Perceived Stress in Adolescents Aged 13-17 Years: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2021;10(4):e25545 View
  23. Martinengo L, Stona A, Griva K, Dazzan P, Pariante C, von Wangenheim F, Car J. Self-guided Cognitive Behavioral Therapy Apps for Depression: Systematic Assessment of Features, Functionality, and Congruence With Evidence. Journal of Medical Internet Research 2021;23(7):e27619 View
  24. Kim M, Yang J, Ahn W, Choi H. Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(6):e27218 View
  25. Teepe G, Da Fonseca A, Kleim B, Jacobson N, Salamanca Sanabria A, Tudor Car L, Fleisch E, Kowatsch T. Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review. Journal of Medical Internet Research 2021;23(9):e29412 View
  26. Attridge M, Dickens S. Health and Work Outcomes of Brief Counseling From an EAP in Vermont: Follow-Up Survey Results, Client Satisfaction, and Estimated Cost Savings. Sage Open 2022;12(1) View
  27. García-Estela A, Cantillo J, Angarita-Osorio N, Mur-Milà E, Anmella G, Pérez V, Vieta E, Hidalgo-Mazzei D, Colom F. Real-world Implementation of a Smartphone-Based Psychoeducation Program for Bipolar Disorder: Observational Ecological Study. Journal of Medical Internet Research 2022;24(2):e31565 View
  28. Marinova N, Rogers T, MacBeth A. Predictors of adolescent engagement and outcomes – A cross-sectional study using the togetherall (formerly Big White Wall) digital mental health platform. Journal of Affective Disorders 2022;311:284 View
  29. Montgomery R, Boucher E, Honomichl R, Powell T, Guyton S, Bernecker S, Stoeckl S, Parks A. The Effects of a Digital Mental Health Intervention in Adults With Cardiovascular Disease Risk Factors: Analysis of Real-World User Data. JMIR Cardio 2021;5(2):e32351 View
  30. Balaskas A, Schueller S, Cox A, Doherty G. Understanding users’ perspectives on mobile apps for anxiety management. Frontiers in Digital Health 2022;4 View
  31. Boucher E, Honomichl R, Ward H, Powell T, Stoeckl S, Parks A. The Effects of a Digital Well-being Intervention on Older Adults: Retrospective Analysis of Real-world User Data. JMIR Aging 2022;5(3):e39851 View
  32. McNamara M, Zisser M, Beevers C, Shumake J. Not just “big” data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventions. Behaviour Research and Therapy 2022;153:104086 View
  33. Hagg L, Merkouris S, O’Dea G, Francis L, Greenwood C, Fuller-Tyszkiewicz M, Westrupp E, Macdonald J, Youssef G. Examining Analytic Practices in Latent Dirichlet Allocation Within Psychological Science: Scoping Review. Journal of Medical Internet Research 2022;24(11):e33166 View
  34. Boucher E, Ward H, Mounts A, Parks A. Engagement in Digital Mental Health Interventions: Can Monetary Incentives Help?. Frontiers in Psychology 2021;12 View
  35. Lin Y, Lou M. Systematic review: Effect of mobile applications on college students with depressive symptoms. Journal of Advanced Nursing 2023;79(9):3214 View
  36. Ryan A, Stearns-Yoder K, Brenner L. Real-World User Demographics of Three Web-Based Digital Mental Health Interventions Provided by the US Department of Veterans Affairs: Observational Study Using Web Analytics Data. JMIR Formative Research 2023;7:e48365 View
  37. Deady M, Collins D, Glozier N, Gardiner E, Arena A, Gayed A, Bryant R, Calvo R, Harvey S. Naturalistic Evaluation of HeadGear: A Smartphone App to Reduce Depressive Symptoms in Workers. Behavior Therapy 2024 View
  38. Boucher E, Ward H, Miles C, Henry R, Stoeckl S. Effects of a Digital Mental Health Intervention on Perceived Stress and Rumination in Adolescents Aged 13 to 17 Years: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e54282 View
  39. Sacher P, Fulton E, Rogers V, Wilson J, Gramatica M, Dent J, Aarts E, Eccleston D, Greve J, Palm-Meinders I, Chuttani R. Impact of a Health Coach–Led, Text-Based Digital Behavior Change Intervention on Weight Loss and Psychological Well-Being in Patients Receiving a Procedureless Intragastric Balloon Program: Prospective Single-Arm Study. JMIR Formative Research 2024;8:e54723 View
  40. Attridge M. Internet-Based Cognitive-Behavioral Therapy for Employees With Anxiety, Depression, Social Phobia, or Insomnia: Clinical and Work Outcomes. Sage Open 2020;10(1) View
  41. Walsh L, Regan A, Okabe-Miyamoto K, Lyubomirsky S, Mahmoud A. Does putting down your smartphone make you happier? the effects of restricting digital media on well-being. PLOS ONE 2024;19(10):e0306910 View

Books/Policy Documents

  1. Cerrato P, Halamka J. The Transformative Power of Mobile Medicine. View
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