<h2>Description</h2> This OSF page provides supplementary material for the analyses presented in the book chapter "Capturing situational dynamics: Strenghts and pitfalls of the experiences sampling methods. It provides hands-on R-Code to conduct multilevel analyses of hierarchical data obtained from a 14-day experience sampling study. <h2>Files and documents</h2> On this page, you can find all files and documents associated with the analyses in the chapter. You can use these files to reproduce all analyses reported in the paper. - For an overview of the results, open "Masur_R_Code.pdf" or "Masur_R_Code.html" - For the R code used in the analysis, open "Masur_R_Code.rmd" - The data used for the analyses are in the folder "data". - The folder figures includes the plots shown in the publication. <h2>Reproducing the analyses</h2> To reproduce all analyses, download all files into one local folder and control for the following: - R, Rstudio, & LaTeX are installed - All R-packages that are used in the code are installed and up-to-date Then proceed with the following steps: - Open "Masur_R_Code.rmd" - Knit the analyses (creates a PDF). <h1>Information about the data</h1> The data stem from a study that investigated the influence of situational factors on depth of self-disclosure in smartphone-based communication situations. The overall study is reported in the following publication: > Masur, P.K. (2018). *Situational privacy and self-disclosure: > Communication processes in online environments*. Cham, Switzerland: > Springer. The data used for the analyses presented in this book chapter are a subset containing the following: <h3>Pre-survey data</h3> *File:*<br> survey_dataset.csv *Sample size:*<br> N = 164 person <br> *Variables:* <br> id = Persons' unique identifiers<br> age (in years)<br> sex (0 = male, 1 = female)<br> <br> *Note:*<br> Missing values are imputed. <h3>Experience sampling data</h3> *File:*<br> esm_dataset.csv *Sample size:*<br> N = 1104 situational measures<br> *Variables:*<br> id = Persons' unique identifiers<br> sd = Depth of self-disclosure <br> it = Interpersonal trust <br> Depth of self-disclosure was measured with the following question: "How private was the content of your message?". Answers were provided on a slider ranging from 1 = *not at all private* to 10 = *very private*. Interpersonal trust was measured with the following question: "How much do you trust your [target person(s)]?". Target person was automatically adapted to the respective situation (e.g., communication partner, Facebook friends, etc.). Answers were provided on a slider ranging from 1 = *not at all* to 10 = *very much*. <br> *Comments:*<br> Missing values were imputed.