This module provides basic skills in computational data analysis. Students will learn how to import ... This unit describes how multiple research methods can address current debates in Psychological ...

Complete case analysis is unbiased only if missingness is ... Key points The missing-indicator method is a popular and simple method to handle missing data in clinical research but has been criticized ...

Understanding the electrical activity of neurons is key to unlocking insights into neurological diseases. Yale researchers ...

The team collects text, audiovisual and behavioral datasets; uses innovative computational techniques and empirical strategies for analysis; and generates original research. Data Labs also explores ...

data collection, analysis, findings, sharing findings and continuing to engage with communities. We thought it would be a simple feat to find people to contribute their experience on pedagogy and ...

This webpage provides information about the research project “Methods for the Analysis of Longitudinal Dyadic Data, with Applications to Intergenerational Exchanges of Family Support”. The three-year ...

Our goal is to bridge the gap between biomedical research and practical application in medicine." Theis further explains that the development team is focusing on exploratory data analysis methods ...

Methods introduced include individual interviews, focus groups and participant observation, as well as research design, ethical issues, data analysis, mixing qualitative and quantitative methods and ...