agenda-open-science

Here we provide statistical analyses for the paper "An Agenda for Open Science in Communication"

austrian_corona_panel

In this project I analyze data from the Austrian Corona Panel to investigate whether COVID-19 related social media use affects well-being. To rerun the analyses, download the data from AUSSDA (https://doi.org/10.11587/28KQNS)

blog-posts-rmarkdown-wordpress

In this blog post, I briefly explain how to write a blog post with rmarkdown that can be published on wordpress

comment_privacy_paradox

This is the online companion material for our submission "Does the privacy paradox exist? Comment on Yu et al.’s (2020) meta-analysis". For more information, see https://osf.io/qexpf/.

correlation

Small illustration that a perfect correlation (r = 1.00) can include both small and large effects.

effect-size

ess_happiness

Analyses of European Social Survey data, focusing on happiness, communication, and media use

ggally

R package that extends ggplot2

need_for_privacy

In this study, we analyze which people need more or less privacy than others.

persistence_and_anonymity

persistence_identification

power

An illustration of the statistical concept of power.

privacy-paradox-longitudinal

In this project, we conduct a longitudinal analysis of the privacy paradox, analyzing the data using random intercept cross-lagged panel models.

privacy_calc_exp

Companion material of the paper "How Do Like and Dislike Buttons Affect Communication? A Privacy Calculus Approach to Understanding Self-Disclosure Online in a One-Week Field Experiment".

td

Several functions, mostly for data-wrangling, extracting and reporting statistical results

who_needs_privacy_rr