Understanding EMA Data: A Tutorial on Exploring Item Performance in Ecological Momentary Assessment Data

OSF Preprints (OSF Preprints)

Abstract

This project contains code and output related to the manuscript “Understanding EMA Data: A Tutorial on Exploring Item Performance in Ecological Momentary Assessment Data” by Siepe et al. (2025, https://doi.org/10.1177/25152459241286877). Instructions on how to download the supplementary files are provided below. As explained in the manuscript, the revised version of the manuscript corresponds to the materials in the folder “Version 1.1.”. Please ensure that you download all files in the folder to reproduce the tutorial script. Data Structure Use the associated .Rproj for easier use of the project structure. The session_info.txtfile contains information about the OS and package versions. The subfolders contain the following content: Data Contains mock_data.csv which can be used to better understand our data structure. data_baseline_mock.csv contains mock baseline data used in the tutorial script. relevant_ids_item_performance.csv contains the numerical IDs of participants used in the manuscript for later reproducibility. Figures Contains all figures that are used in the manuscript. See the full report for the code used to create them. Manuscript Contains the preprint and the so-called ‘full report’, in other words, the .html file containing all code (full-report-item-performance.html). Please download this file if you want to see our full report. Additionally, item-performance-tutorial.html contains the tutorial code mentioned in the manuscript. This folder also contains a list of all items used in the manuscript (item-performance-supplement-item-list.pdf). Scripts Contains the scripts used to analyze the data: item-performance-script.Rmd contains all code used for the manuscript and the full report item-performance-tutorial.Rmd contains tutorial code to reproduce the main figures of the manuscript on mock data. aux_funs.Rcontains commented auxiliary functions used

Authors 6

1. Eiko I. Fried

   Philipps University of Marburg

   Affiliation as printed

   Philipps University of Marburg

2. Carlotta Rieble
3. Rayyan Tutunji Aachen

   Leiden University

   Affiliation as printed

   Leiden University

4. Aljoscha Rimpler
5. Julius März
6. Ricarda K. K. Proppert Aachen

   Leiden University

   Affiliation as printed

   Leiden University