Topic Modelling tweets discussing “Screen Time”

The aim of this quick project is to understand people’s views towards screen time. Twitter is a platform whereby people can express their opinions or share news, making it a useful place to explore people’s viewpoints. By searching tweets which contain the phrase “Screen Time”, we can analyse the language people use in subsequent tweets. In particular, using topic modelling, …

Processing Data from Activity Logger App

If you use the Activity Logger in your research, please cite Kristoffer Geyer’s work with the reference: Geyer. K. (2018a). Activity Logger (1.12). [Mobile application software]. Retrieved from: https://play.google.com/store/apps/details?id=sensor.location.android.activitylog I collected data from  12 phones across 9+ days to pilot the app for my latest study (See Here!) . Participants were asked to download the app from the Google Play …

Kernel Density Estimations V’s Histograms

One of the first steps of statistical analysis is understanding the distribution of your data. Histograms work by counting the frequency of data points which have values which fall between a particular range. For example, if you was to assess happiness levels on a continous scale of 1-10 in a chosen sample, you could assess how many people scored between …

Can tweets infer personality differences between iPhone and Android Users.

To begin answering this question, I first of all created an app on twitter: https://apps.twitter.com/app/new Once made, in the application settings, I clicked where it said “manage keys and access tokens”. On this new page you can generate a consumer key and consumer secret, and you can also generate access tokens, and access token secrets. I needed these four codes …