Blog Posts

Cleaning and Analyzing distBuilder Data in R

You have used the distBuilder library to collect data, now what? This post walks you through the basics of cleaning and analyzing distribution builder data in R.

Adding Totals to distBuilder

A short tutorial on adding “totals” to distBuilder, keeping track of how many balls are allocated in each bucket

Correctly Dealing with Outliers (Part Two)

A two-part blog post on outlier exclusion procedures, and their impact on false-positive rates.

Correctly Dealing with Outliers (Part One)

A two-part blog post on outlier exclusion procedures, and their impact on false-positive rates.

How Not To Deal with Outliers

A short case study showing how not to deal with your outliers, featuring a recent paper published in psychology.

Recording how Participants Use distBuilder

Do you wonder how respondents are using distBuilder to construct their final distribution? This blog post shows how you can record the history of allocations that participants have constructed in distBuilder.

Cleaning and Analyzing distBuilder Data in Python

You have used the distBuilder library to collect data, now what? This post walks you through the basics of cleaning and analyzing distribution builder data in Python.

Generate Stimuli for Numerical Cognition Experiments

You want to test how well people can learn a normal distribution. How can you make sure that the discrete number of values that you will show to participants will look ‘normal’? This blog post gives you a simple and foolproof way of generating values for your experiments.