Quantitative Analysis: Special Issues and Considerations
Social Work 8405
Smith Lab, Room 3082
College of Social Work
A course on Structural Equation Modeling (Social Work 8405) is being offered through the College of Social Work in the spring of 2018. The course is open to PhD students from all disciplines who have intermediate-level statistics preparation. The goal of the course is to prepare students to independently conduct the most common types of SEM analyses—path analysis, confirmatory factor analysis, and general structural models—using Mplus. Skills and knowledge obtained in the course will be generalizable to other SEM software. Students do not need to have Mplus software or experience with Mplus to take the course. The course is taught through team-based learning.
Instructor permission is required. Contact Natasha Bowen (email@example.com) if you are interested and would like more information.
Learning Technologies Diffusion, Innovation, and Change
Ramseyer Hall, Room 309
A course on Technology Diffusion is being offered through the College of Education and Human Ecology. This course will introduce students to the practices and principles of technology diffusion, innovation, and strategic change in education. Attributes of innovation, the innovation-development and innovation-decision processes, leaders as change agents and strategies on managing change are explored.
Scaling and Item Response Theory
Ramseyer Hall, Room 336
A course on Scaling and Item Response Theory is being offered through the College of Education and Human Ecology. This course will introduce students to the family of Rasch models. Emphasis will be placed on real-world applications to educational, psychological, and health outcomes data. The software Winsteps will be used to perform all analysis.