This class has been CANCELLED. This workshop will cover strategies for obtaining visual displays of quantitative information. We will discuss ways to, quite literally, look at data and statistical models in pictorial form. This is important because graphical representations … Read more
ICPSR - Machine Learning for the Analysis of Text as Data Quantitative analysis of digitized text represents an exciting and challenging frontier of data science across a broad spectrum of disciplines. From the analysis of physicians' notes to identify … Read more
ICPSR - Introduction to Mixed Methods Research The term mixed methods research (MMR) refers to application and integration of qualitative and quantitative approaches at one or more stages of the research process. The purpose of this three-day interactive course … Read more
Instructor(s): Kathleen M. T. Collins, University of Arkansas at Fayetteville The term mixed methods research (MMR) refers to application and integration of qualitative and quantitative approaches at one or more stages of the research process. The purpose of this three-day … Read more
Instructor(s): Brice Acree, Ohio State University Quantitative analysis of digitized text represents an exciting and challenging frontier of data science across a broad spectrum of disciplines. From the analysis of physicians' notes to identify patients with diabetes, to the assessment … Read more
Introduction to Multilevel Modeling Introduction to Multilevel Modeling is a two-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. Nesting … Read more
Introduction to Multilevel Modeling Introduction to Multilevel Modeling is a two-day workshop focused on the application and interpretation of multilevel models, also known as hierarchical linear models and mixed models, for the analysis of nested data structures. Nesting … Read more
ICPSR: Introduction to Mixed Methods Instructor(s): Shiri Noy, Denison University Social scientists are often interested in untangling complex social issues, which require creative and expansive data and methods to address. The goal of the course is to introduce … Read more
ICPSR: Machine Learning for the Analysis of Text as Data Instructor(s): Brice Acree, Ohio State University Quantitative analysis of digitized text represents an exciting and challenging frontier of data science across a broad spectrum of disciplines. From the … Read more
Thomas M. Carsey Graduate Student Symposium Tom Carsey, former director of the Odum Institute and esteemed political scientist, was an advocate of graduate student research and support throughout his professional career. In collaboration with the University Libraries’ Research Hub, … Read more
