Data+ 2018 Project Fair Come see our 2018 Projects and talk to our project sponsors! - Data+ is a 10-week summer research experience for Duke undergraduates - Gain broad exposure to the modern world of data science - Explore new data-driven approaches to interdisciplinary challenges - Each student gets a $5,000 stipend - Full-time research experience, (no classes or other employment during Data+) - Data+ 2018 runs May 29 - August 3 - Open to all Duke students at all levels and from all majors - Admissions are rolling - Final deadline for student application is late February
This workshop is designed for researchers who are planning to collect original data and considering how to select one or more methods for doing so. The workshop begins with a review of effective and clear research question formulation and proceeds to a discussion of the advantages and opportunities, as well as limitations of various data collection methods (and associated analytic techniques), including survey research, in-depth interviewing, ethnography, focus groups, and text analysis. In addition, the workshop will attend to logistical and theoretical considerations in implementing each of these research approaches. Registration required; please click the "more event information" button below to access the registration form.
All Duke undergraduate and graduate/professional students are invited to learn more about the Bass Connections project teams for 2018-19. Faculty and staff will be available to share information and answer questions. Stop by, enjoy a bite to eat and check out the new projects. Applications to join project teams will be due on February 16 at 5:00 p.m.
Qualitative Data Collection & Management-This workshop provides an introduction to a range of qualitative research methods as well as an overview of the strengths and weaknesses of each approach. Qualitative research methods, including in-depth interviews, focus groups, archival analysis, and participant observation, vary considerably in the resources and time required to execute them reliably, and in the types of data they generate. Which data collection techniques are appropriate to which kinds of research questions and projects, and how do you execute these methods well? How are issues of reliability and validity considered and weighed in qualitative research? We will also explore different ways of managing your data prior to commencing data collection in order to facilitate the transition to data analysis. Some time will be given to the role of NVivo software in facilitating data management and preparing for data analysis. Registration required; please click "more information" to access the registration form.
This workshop examines question wording and questionnaire design for online and paper questionnaires. This course does not include programming (which is offered in the separate Qualtrics workshop), but focuses on the conceptual issues and considerations underpinning questionnaire design, question wording, and response options. This workshop also provides an introduction to conducting survey experiments, including a brief motivation for when and why to use an experiment, common experimental designs, constructing experimental manipulations, and analysis. Registration required; please click "more information" to access the registration form.
This workshop will allow students to transform interview transcripts into analyzable data, and to learn foundational skills in qualitative data analysis, including a brief introduction to using NVivo software. Participants will be introduced to the most common coding strategies deployed in social science to analyze data collected through in-depth interviews, focus groups, participant observation, and/or archival analyses of text. A section of the workshop will be dedicated to taking questions regarding coding in the individual research projects of participants. Registration required; please click "more information" to access the registration form.