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SOFTWARE



APPLICATIONS DEVELOPED IN THE LAB

Computational Organizational Research Software






CORE Lab

Population Proportion Estimation from Machine Learning Predictions

If you have a machine learning classifier, it can make guesses about whether a person randomly selected from a population has a certain/trait

Even if the classifier is not perfectly accurate, its predictions still have informational value, allowing you to narrow your confidence of what the population looks like

Use the following program to estimate the likely bounds of the proportion within the population if you have predictions made by a classifier and know its error rate






CORE Lab

CORE Board - A Simpler Online Drawing Interface

A digital black/whiteboard to allow for seemless switching between slides and demonstrations

Use the touchscreen function on the presentation device or a pen display (e.g, Wacom tablet) to treat the screen like a drawing board.

Different keyboard keys map to different actions (e.g., DEL = Clear screen, ctrl+z = Undo, E = Eraser






CORE Lab

Artificial Intelligence Personality Scale Recommender

Receive recommendations for items into include in your personality scale

AI Natural language processing models analyze sample input items and recommend new ones for your scale that that will correlate with them

Receive both positive and negative(reverse) coded items






CORE Lab

Common Language Effect Size Calculator

Translate your effect sizes into terms that are more easily understood by a a broader audience

Choose your study design, enter your effect size, and see how to describe the results in simpler terms.






CORE Lab

Psychometric Calculator

Before conducting a study, there are many important considerations to make.
Your ability to draw conclusions from data is limited by several factors such as reliability, validity, power, etc.






CORE Lab

Social Aggreggation/ Segregation Anlyzer

Determine the extent that people in a room prefer to sit next other people who are similar to them. Create a seating chart in a spreadsheet, and the program will calculate whether the number of people sitting next to similar others in that room is unlikely if people were simply choosing their seats randomly.