This is a 3-part short course (held over three afternoons – 1/27, 1/28, 1/30). Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data... Read more »
This 2-day (1/29 & 1/31) course equips students to design, conduct, and critique mixed-method research. From a pragmatic perspective, we will explore the strengths and weaknesses of a variety of... Read more »
This is a 3-part short course (held over three afternoons – 1/27, 1/28, 1/30). Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data... Read more »
This is a 3-part short course (held over three afternoons – 1/27, 1/28, 1/30). Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data... Read more »
Focus group interviews are commonly used for survey development, content development, and qualitative data collection to capture rich information about attitudes and beliefs that affect behavior. An overview of the... Read more »
Although graduate school teaches you many things, many Ph.D. students complete their dissertations having never been fully trained in academic publishing. How does academic publishing actually work? Where should you... Read more »
This is a hands-on introductory workshop. Participants will create a basic survey, add display and skip logic, and use content validation, piped text, and embedded data. We will create a... Read more »
This is a hands-on introductory workshop. Participants will create a basic survey, add display and skip logic, and use content validation, piped text and embedded data. This course is only open to UNC Students, faculty and staff with active UNC Qualtrics accounts who are registered with DUO through ITS. Please see event website for more... Read more »
This course will introduce students to the design & implementation of SMS, IVR, Web, and CATI surveys in low- and middle-income countries. The instructors will draw from real world examples to illustrate how these modes work. We will also discuss basic survey design principles in each mode, focusing on sampling, questionnaire development, & survey design.... Read more »
This Odum Institute course covers: Background to Research Questions and Inference in the Social Sciences, Data Capture and Curation, Modelling and Analysis, Information Visualization and Privacy and Ethics. Speaker Frauke Kreuter is Professor in the Joint Program in Survey Methodology at the University of Maryland, Professor of Methods and Statistics at the University of Mannheim,... Read more »
Focus group interviews are commonly used for survey development, content development, and qualitative data collection to capture rich information about attitudes and beliefs that affect behavior. An overview of the basics of focus groups supplemented with real examples and hands-on practice will highlight the most appropriate uses of focus groups, moderating focus groups, developing interview... Read more »
This course titled, "Designing and Conducting Surveys of Businesses and Organizations," is directed towards students and individuals interested in, or who have responsibility for, obtaining information from businesses/organizations that is organizational or business-related in nature. This includes data that are typically based on or may be extracted from records, such as financial or production data,... Read more »
The purpose of this course, "Discussion and Practical Application of Data Visualization Best Practices using Survey Data", is to present best practices for creating graphics from survey data and provide... Read more »
Focus group interviews are commonly used for survey development, content development and qualitative data collection to capture rich information about attitudes and beliefs that affect behavior. An overview of the basics of focus groups supplemented with real examples and hands-on practice will highlight the most appropriate uses of focus groups, moderating focus groups, developing interview... Read more »
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. This workshop will provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and... Read more »
