[Online] A Beginner's Guide to Monte Carlo Simulations

Unfortunately we are unable to meet in person as of yet, so R-Ladies Oslo and Oslo useR! Group have decided to postpone the Lightning Talk event. We are, however, lucky enough to have one of our planned contributors giving a full talk instead!

Monte Carlo simulation (MCS) is a computational tool used to determine a numerical result or unknown parameter by randomly selecting numbers repeatedly. It has a vast array of applications (e.g. risk analysis) in a variety of fields including education, law, mathematics and physics.
This presentation will briefly outline what MCS are, why MCS are useful and how to conduct an MCS. An application of MCS in educational measurement will also be presented, while emphasizing possible solutions to issues that may be encountered.

Dan Uehara recently completed his MSc, where he conducted Monte Carlo simulations to investigate the classification accuracy of score and sum score-based equating methods. Currently Dan works at the IPED at UiO as a research assistant analyzing survey data.