<h1>**Full paper**</h1>
-----------------------
The final article has been published in *Media Psychology*.
Please cite as:
Lutz, S., & Schneider, F. M. (2021). Is receiving Dislikes in social media still better than being ignored? The effects of ostracism and rejection on need threat and coping responses online. *Media Psychology, 24*(6), 741–765. [https://doi.org/10.1080/15213269.2020.1799409][1]
<H1>**Files and Documents**</h1>
-----------------------
The OSF storage includes supplementary material for the pretest and the main study as well as the preprint.
## Preregistration ##
The main study was preregistered at [ASPREDICTED][2]. The respective file can also be found in the subfolder *Preregistration & Power Analyses*.
## Apriori Power Analyses ##
Power analyses were based on previous findings (e.g., meta-analyses). See subfolder *Preregistration & Power Analyses* for a documentation of the analyses.
## Pretest ##
Results of the pretest are available in the subfolder *Data, Analyses & Results/Pretest*.
## Main Study ##
### *Material* ###
All material can be found in the subfolder *Material*. It includes
- the questionnaire,
- a codebook of all variables,
- screencasts of examples for the experimental manipulations (see file "stimulus material" for an English translation of the optimized tool used in this study or visit http://smpo.github.io/socialmedia/ to try out the original version of the tool).
### *Data Analyses* ###
In the subfolder *Data, Analyses & Results/Main study*, we provide
- details about data cleaning,
- data,
- R code for all analyses conducted in the article,
- R code for the confirmatory factor analyses,
- an overview of the results depending on sample sizes,
- results for *N* = 211 and *N* = 349,
- results for additional analyses.
<h1>**Reproducing the Analyses**</h1>
-----------------------
To reproduce the analyses, the following steps are essential:
1. Download and install [RStudio][3] and [R Version 4.xx][4]
2. Download the complete subfolder *Data, Analyses & Results/Main study/Data and Code*.
3. Unzip it in one folder and load the file *Dislikes.Rproj* as an R-Project in RStudio. Or simply double-click the file.
4. Open the *cfa.Rmd* or the *syntax.Rmd* files in RStudio.
5. Install and load up-to-date required packages.
6. Run analyses or knit the Rmd.
Alternatively, you can open the *cfa.html* or the *syntax.html* files in your web browser to inspect the results.
[1]: https://doi.org/10.1080/15213269.2020.1799409
[2]: https://aspredicted.org/xk8et.pdf
[3]: https://rstudio.com
[4]: https://cran.r-project.org/
