Test the videos' effects on reflectiveness and intellectual humility

We plan to better understand the barriers and facilitators perceived by high school coaches, athletic directors, and principals that are weighed when deciding whether to implement an ACL injury prevention program. Gaining this knowledge is an important first step in the development of programming to increase coach implementation of ACL injury prevention programs at the high school level.

Test whether psychosocial safety within community contexts predicts social connection with strangers.

To diagnose to the deeper contributions and causes to affective political polarization in the United States; the increasing degree to which American partisans dislike and distrust each other.

The goal of the study is to study people's intention and their energization regarding general health behaviors. We aim to study energization as a distinct component of motivation. We want to show that people's energetic feelings about a behavior do not always correspond to their intention of performing the behavior.

The purpose of this study is to see how political affiliations affect views and attitudes toward social and environmental sustainability. In addition, it aims to determine how different political affiliations respond to differently framed sustainable marketing messages. Individuals who take part in this research will be asked to view stimuli featuring a product and its sustainable impact. Then, they will be asked to record what they believe to be a fair price for each product.

How do students' intellectual traits change during college?

The purpose of this research study is to learn if and how non-invasive brain stimulation influences motivation problems in Parkinson's disease. Men and women aged 55-80 years with Parkinson's disease for at least 5 years can join the study. There are three study visits. Participation will involve answering questions, doing exercises where you squeeze a joystick to earn "rewards", recording of your brain activity, and receiving transcranial magnetic stimulation (TMS).

Machine learning is a powerful tool for solving problems that involve a lot of data. It is being used in many different fields. The first step in creating a machine learning system is to understand what you want to achieve and then turn that goal into a plan for using machine learning. This is called problem formulation. Problem formulation is important because it not only helps you understand what you want to achieve but also helps you figure out if you have the right data to make it work. Practitioners need to try different approaches and see what works best for their data. This can take some trial and error. This study looks at a new tool designed to make problem formulation easier and see if it helps practitioners.

The purpose of this study is to understand how people's traits and beliefs are connected to their experiences at work.