This workshop offers an overview of program evaluation, or the systematic investigation of the merit, worth, or significance of a program. Topics covered will include: when and why to conduct evaluation; types of evaluations; key aspects of an evaluation, including logic model development, data sources and data collection, analysis and reporting, and guiding resultant programmatic change; and tips for feasibly and effectively implementing evaluation at a program or organization. This workshop focuses on evaluation from the perspective of programs or organizations and will be of particular interest to people working in such settings who are looking to learn more about evaluation, but it is also relevant to undergraduate students, graduate students, faculty, or other researchers who are interested in evaluation and applied research. Registration required; please click "More Information" below to access the registration form.
This workshop will introduce researchers to the basics of NVivo 11 Pro for Windows, a qualitative data analysis software. Participants will learn strategies for analyzing text-based data in NVivo, such as transcribed interviews and focus groups, documents, and literature. Topics will include how to import data, create nodes and code, tips for formatting transcriptions, and basic queries and visualizations. Although Mac users are welcome to attend, this workshop will not address using NVivo in the Mac environment. Registration required; please click "more information" to access the registration form.
This workshop provides an introduction to conducting survey experiments, including a brief motivation for when and why to use an experiment. The workshop covers common experimental designs, how to design and pretest experimental manipulations, and concludes with a discussion of how to analyze experimental data. Registration required; please click "More Information" below to access the registration form.
This workshop introduces data management practices to consider throughout the research lifecycle: planning, organization, documentation, storage and backup, sharing, citation, and preservation. The workshop will offer an overview of general recommendations that are relevant across disciplines and will point attendees to additional resources at Duke and beyond.
Research involving humans requires multiple approaches to protect participants' anonymity. If you are planning to (or are required to) share your human subjects' data outside of your original project team, or plan to re-use data you collected previously for a new research project, you will need to design a consent form/consent protocol that properly addresses these situations. This workshop will present various research scenarios with examples of how consent protocol should be developed. If available, a staff member of the Duke Office of Research Support will be on hand to answer questions.
This workshop offers an overview of the SAS programming language, focusing on data management activities. Session 1 includes a general overview of major SAS components (Program Editor, Log and Output) and the core concepts of SAS programming (DATA and PROC steps). It focuses on the process of importing and modifying data, including issues of importing/exporting data from other file formats, merging and concatenating data sets, and adding to or subsettting from datasets. Key SAS statements described include: PROC IMPORT, SET, MERGE, IF-THEN, and WHERE. Session 2 focuses on data analysis, including variable creation/recoding and descriptive analyses typically used in data management. Key SAS statements described include: PROC CONTENTS, PROC MEANS, and PROC FREQ. Together, these two sessions allow researchers to learn basic data management processes using the SAS statistical system. Registration required; please click "more information" to access the registration form.