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In our third episode, we have two guests on the show: Maya Braun and Yong Zhang. Both are experts in measuring constructs that change over time and the challenges that come with that. We cover ambulatory assessment approaches for such constructs, how to deal with missing data and how to make your intensive longitudinal studies more engaging for participants.
If you want to better understand measurement of evolving constructs, this episode is for you!
Learn more about the Conceptualization, Formalization and Measurement interest group here: https://cfm.opens.science/
Here are some resources for your further study:
Paper: So you want to do ESM? https://doi.org/10.1177/25152459241267912
Sebastian Castro Alvarez: reliability of time-series measurements https://psycnet.apa.org/doi/10.1037/met0000778
Maya’s linktree: https://linktr.ee/mayabraun
A recent EMA paper on physical activity: https://doi.org/10.1080/08870446.2025.2582467
Yong’s website: https://www.rug.nl/staff/yong.zhang/?lang=en
Paper on quality check of temporal network models https://doi.org/10.1177/25152459251372116
Paper on model selection in nonstationary time series analysis: https://doi.org/10.1111/bmsp.70012
Apps for running your own EMA: https://sema3.com (free) https://m-path.io/landing/pricing.html (free for “piloting” which can be using it with yourself)
