Odum Institute

This online course is focused on designing & implementing social science research cross-culturally, with a particular emphasis on collecting interview data. Participants will consider different definitions of culture, how research is itself a cultural practice, what perspectives and analytical approaches can be employed in cross-cultural research, as well as best practices in designing and implementing cross-cultural research. More information and registration.

This is an online 3-part short course (held over three afternoons – 9/14, 9/16, and 9/17). Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort, and merge data sets. Part 3 will cover how to perform basic statistical procedures and regression models in Stata. More information and registration.

This two-day course (9/16, 9/18) equips students to design, conduct and critique mixed method research. We will explore the strengths and weaknesses of a variety of data collection methods, and evaluate strategies for combining them. We will focus on mixed method research designs incorporating in-depth interviews, focus groups, participant observation, archival research, survey interviews, and/or hybrid methods. This course is designed for those who are relatively new to mixed method research. More information and registration.

This is an online 3-part short course (held over three afternoons – 9/14, 9/16, and 9/17). Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort, and merge data sets. Part 3 will cover how to perform basic statistical procedures and regression models in Stata. More information and registration.

This is an online 3-part short course (held over three afternoons – 9/14, 9/16, and 9/17). Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort, and merge data sets. Part 3 will cover how to perform basic statistical procedures and regression models in Stata. More information and registration.

This two-day course (9/16, 9/18) equips students to design, conduct and critique mixed method research. We will explore the strengths and weaknesses of a variety of data collection methods, and evaluate strategies for combining them. We will focus on mixed method research designs incorporating in-depth interviews, focus groups, participant observation, archival research, survey interviews, and/or hybrid methods. This course is designed for those who are relatively new to mixed method research. More information and registration.

This is a 2-day (9/23 and 9/24) online course. Course hours are 10 a.m. - 2 p.m. each day. Focus groups are commonly used to capture rich information about attitudes and beliefs. The class will highlight the most appropriate uses of focus groups, and the essentials of moderating focus groups, developing interview questions, analyzing and using results, as well as reporting findings. The class will be supplemented with real-life examples and hands-on exercises. More information and registration.

This is a 2-day (9/23 and 9/24) online course. Course hours are 10 a.m. - 2 p.m. each day. Focus groups are commonly used to capture rich information about attitudes and beliefs. The class will highlight the most appropriate uses of focus groups, and the essentials of moderating focus groups, developing interview questions, analyzing and using results, as well as reporting findings. The class will be supplemented with real-life examples and hands-on exercises. More information and registration.

This is an online 2-day workshop (9/30 and 10/2) 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 can arise from hierarchical data structures, longitudinal data structures, or both. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata. Registration required.