DVS Workshop: Reproducibility: Data Management, Git, and RStudio
"In response to a growing focus on the importance of reproducibility, replication, and transparency in the research endeavor, scholars are adapting their practices and learning new skills and tools. This workshop will introduce some general data management strategies that can increase the reproducibility of your work. You will also learn through hands-on exercises how to harness two specific tools, git and RStudio, to support the execution of more reproducible research projects. Git is a powerful version control system and RStudio is an open-source statistical software program. No previous experience with Git is required for this workshop. To fully participate in this workshop, please bring your own laptop. The Hands-on part of this workshop will focus on the practical aspects of configuring RStudio with Git. If you don't intend to use the R programming language, you may want to take a different workshop. Prerequisite: Intro to R. All attendees are expected to be basically familiar with R, R Studio. For your convenience you can watch a previous recording of Intro to R and work through the practice datasets on your own."
DVS Workshop: Adobe Illustrator for Diagrams
In this workshop, you will learn the basics of using Adobe Illustrator, the professional standard in vector graphics software for creating diagrams and infographics. Many people avoid using it because of its steep learning curve, but you will see that it is quite easy to combine simple shapes to create interesting and clear diagrams, and to give all your work that professional edge. There are no prerequisites.
SSRI~ Workshop: Qualitative Data Collection & Management
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.
DVS Workshop: Visualization in R using ggplot2
"Data science skills are increasingly important for research and industry projects. With complex data science projects, however, come complex needs for understanding and communicating analysis processes and results. Ultimately, an analyst's data science toolbox is incomplete without visualization skills. Incorporating effective visualizations directly into the analysis tool you are using can facilitate quick data exploration, streamline your research process, and improve the reproducibility of your research. In this workshop we will focus on ggplot2, a library for R that creates clear and well-designed visualizations and that plays well with other tidyverse packages. While prior experience with ggplot2 and with other tidyverse packages is not required, some basic familiarity with R is expected. Please consider attending (or viewing a recording of) our Introduction to R workshop before attending this workshop on ggplot2. In this workshop, we will use RStudio and RMarkdown files for all exercises. You may use the in-room computers, but if you prefer to bring your own laptop, but please make sure you come with RStudio and the tidyverse package installed. You may also want to install the knitr package to be able to compile the entire Rmarkdown file. Please note: this classroom has a limited number of seats.
DVS Workshop: Intro to ArcGIS Pro
"ArcGIS Pro is a newly designed interface to the tried-and-true ArcGIS desktop software. It has essentially the same functions, but with more of a MS-Office interface. As a native 64-bit program, it also has superior performance. There are a few nice feature enhancements such as multiple layouts in a single project. It's more fully integrated with ArcGIS Online, and users will need to have created an Duke ArcGIS Online account. An administrator will activate your ArcGIS Pro license after you've created an ArcGIS Online account. ArcGIS Pro can help you analyze or visualize digital data that has a locational component, as well as discuss starting points for obtaining data. Examples will focus on social science data, but attendees are encouraged to ask questions regarding their own needs and will be welcome to make one-on-one appointments later for more focused instruction. It's helpful, but not necessary, to be familiar with ArcGIS Desktop beforehand."
SSRI~ Workshop: Designing Survey Questionnaires and Survey Experiments
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.