This is a four-part course that will give an introduction to the SAS software. Attendees must bring a laptop to this course with SAS (free 14-day trial of SAS software available from programmer) already loaded. SAS software will not be provided. If you are part of the UNC community, you can access SAS on the... 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... Read more »
This is a four-part course that will be taught in-person. This course is free, but you must register to secure your spot in the course. Students MUST bring a laptop... Read more »
This is a four-part course that will be taught in-person. This course is free, but you must register to secure your spot in the course. Students MUST bring a laptop... Read more »
This is a four-part course that will be taught in-person. This course is free, but you must register to secure your spot in the course. Students MUST bring a laptop to class with SAS software loaded or to be able to access the virtual lab. The classroom will not have computers available.
This is a four-part course that will be taught in-person. This course is free, but you must register to secure your spot in the course. Students MUST bring a laptop... Read more »
This training will cover advanced features in building surveys in Qualtrics. Participants must already have a university Qualtrics account and solid working knowledge of Qualtrics. Some portions will be hands-on; others will be demonstration only. Please see course URL for topics to be covered.
The focus of this course is on the design of web survey instruments, appropriate choice and design of input tools, address layout and formatting of the instrument, including alignment of questions and response options, typeface, background color, the design of grids or matrix questions, as well as the design implications of browser-based mobile web surveys.... Read more »
This short course provides an introduction to logistic regression. Model specification, identification, estimation, hypothesis-testing, and interpretation of results are covered. Software to estimate these models is discussed, but not demonstrated. This is not a course on software, but rather a course on the concepts and uses of logistic regression. No registration required. More information
Text analysis is a promising new approach that uses machine learning to discover patterns, trends, and other information by using text as data. Participants will develop the skills and understanding... Read more »
Usability testing allows in-depth evaluation of how respondents and interviewers interact with questionnaires, particularly web and mobile surveys. Not all design guidelines work equally well for all surveys and all survey populations. Capabilities of computerized surveys are constantly emerging. It is critical for researchers to have the necessary tools to evaluate, test, and modify surveys... Read more »
This 3-day (2/3, 2/5, and 2/6) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to... Read more »
This 3-day (2/3, 2/5, and 2/6) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to... Read more »
This 3-day (2/3, 2/5, and 2/6) course will offer an introduction to SPSS and will demonstrate how to work with data saved in SPSS format. It will demonstrate how to... 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 »
