Data were processed in Stata BE version 18.0 (StataCorp, College Station, TX), and multilevel models were performed in R version 4.4.1 with RStudio version 2024.04.2. Processing and analytic code (Stata and R) are available in the GitHub repository at https://github.com/OliviaMalkowski/EMA-feasibility.git. First, run the file "2025-08-19_Stata-do-file_v01" in Stata to replicate the summary statistics presented in the associated journal article and to prepare the datasets (i.e., limiting the sample to participants with valid activity sensor wear for Model 2) ahead of performing multilevel logistic regression modeling. Then, knit the file "2025-08-19_Feasibility_v01" in RStudio to run the multilevel logistic regression models (observations nested within persons) regressing EMA compliance on time-invariant (i.e., age, biological sex) and time-varying (i.e., time of day, day of week, concurrent physical activity) factors. The dataset is saved in XLSX format (given the multi-sheet capability of XLSX files) and can be opened with Microsoft Excel. The separate sheets (Overview, Descriptives, and EMA) are saved in CSV format and can be opened with any software that supports CSV files, including Microsoft Excel.