Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42646, first published .
Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review

Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review

Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review

Journals

  1. Stadel M, Stulp G, Langener A, Elmer T, van Duijn M, Bringmann L. Feedback About a Person’s Social Context - Personal Networks and Daily Social Interactions. Administration and Policy in Mental Health and Mental Health Services Research 2024;51(4):476 View
  2. Elmer T. Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices. EPJ Data Science 2023;12(1) View
  3. Langener A, Bringmann L, Kas M, Stulp G. Predicting Mood Based on the Social Context Measured Through the Experience Sampling Method, Digital Phenotyping, and Social Networks. Administration and Policy in Mental Health and Mental Health Services Research 2024;51(4):455 View
  4. Langener A, Stulp G, Jacobson N, Costanzo A, Jagesar R, Kas M, Bringmann L. It’s All About Timing: Exploring Different Temporal Resolutions for Analyzing Digital-Phenotyping Data. Advances in Methods and Practices in Psychological Science 2024;7(1) View
  5. Langener A, Siepe B, Elsherif M, Niemeijer K, Andresen P, Akre S, Bringmann L, Cohen Z, Choukas N, Drexl K, Fassi L, Green J, Hoffmann T, Jagesar R, Kas M, Kurten S, Schoedel R, Stulp G, Turner G, Jacobson N. A template and tutorial for preregistering studies using passive smartphone measures. Behavior Research Methods 2024;56(8):8289 View
  6. Siepe B, Rieble C, Tutunji R, Rimpler A, März J, Proppert R, Fried E. Understanding Ecological-Momentary-Assessment Data: A Tutorial on Exploring Item Performance in Ecological-Momentary-Assessment Data. Advances in Methods and Practices in Psychological Science 2025;8(1) View
  7. Eisele G, Hiekkaranta A, Kunkels Y, Rot M, van Ballegooijen W, Bartels S, Bastiaansen J, Beymer P, Bylsma L, Carpenter R, Ellison W, Fisher A, Forkmann T, Frumkin M, Fulford D, Naragon-Gainey K, Greene T, Heininga V, Jones A, Kalokerinos E, Kuppens P, Modecki K, Müller F, Neubauer A, Panaite V, Schneider M, Sun J, Wilson S, Zygar-Hoffmann C, Myin-Germeys I, Kirtley O. ESM-Q: A consensus-based quality assessment tool for experience sampling method items. Behavior Research Methods 2025;57(4) View
  8. Krämer M, Kretzschmar A, Hopwood C, Bleidorn W. A replication attempt of personality change through randomized peer groups. European Journal of Personality 2025 View
  9. Elmer T, Fernández A, Hall J, Stadel M. Day-to-day Social Interactions Online and Offline: The Interplay Between Interaction Mode, Interaction Quality, and Momentary Well-being. Communication Research 2025 View
  10. Yorke I, Boatman C, Roy Choudhury A, Oakley B, Conde P, Sankesara H, Ranjan Y, Rashid Z, Dineley J, Downs J, Chatham C, Cummins N, Folarin A, Loth E, Buitelaar J, Murphy D, Dobson R, Simonoff E. A dual in-person and remote assessment approach to developing digital endpoints relevant to autism and co-occurring conditions: protocol for a multi-site observational study (Preprint). JMIR Research Protocols 2025 View