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<h2>Description</h2> <p>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. </p> <h2>Files and documents</h2> <p>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.</p> <ul> <li>For an overview of the results, open "Masur_R_Code.pdf" or "Masur_R_Code.html"</li> <li>For the R code used in the analysis, open "Masur_R_Code.rmd"</li> <li>The data used for the analyses are in the folder "data".</li> <li>The folder figures includes the plots shown in the publication.</li> </ul> <h2>Reproducing the analyses</h2> <p>To reproduce all analyses, download all files into one local folder and control for the following: </p> <ul> <li>R, Rstudio, & LaTeX are installed</li> <li>All R-packages that are used in the code are installed and up-to-date</li> </ul> <p>Then proceed with the following steps:</p> <ul> <li>Open "Masur_R_Code.rmd"</li> <li>Knit the analyses (creates a PDF). </li> </ul> <h1>Information about the data</h1> <p>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:</p> <blockquote> <p>Masur, P.K. (2018). <em>Situational privacy and self-disclosure: Communication processes in online environments</em>. Cham, Switzerland: Springer.</p> </blockquote> <p>The data used for the analyses presented in this book chapter are a subset containing the following:</p> <h3>Pre-survey data</h3> <p><em>File:</em><br> survey_dataset.csv</p> <p><em>Sample size:</em><br> N = 164 person <br></p> <p><em>Variables:</em> <br> id = Persons' unique identifiers<br> age (in years)<br> sex (0 = male, 1 = female)<br> <br> <em>Note:</em><br> Missing values are imputed.</p> <h3>Experience sampling data</h3> <p><em>File:</em><br> esm_dataset.csv</p> <p><em>Sample size:</em><br> N = 1104 situational measures<br></p> <p><em>Variables:</em><br> id = Persons' unique identifiers<br> sd = Depth of self-disclosure <br> it = Interpersonal trust <br></p> <p>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 = <em>not at all private</em> to 10 = <em>very private</em>.</p> <p>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 = <em>not at all</em> to 10 = <em>very much</em>.</p> <p><br> <em>Comments:</em><br> Missing values were imputed.</p>
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