This workshop will introduce you to the basics of geographic information system (GIS) mapping using ESRI’s ArcGIS Online platform. In this session, you will learn how to use the ArcGIS online system, to create a series of maps. After creating the maps, you can then export your maps to ESRI’s Story Maps, which will allow you to create stable link to a mixed media mapping project that you can use for research, teaching, and job portfolio purposes.
This session is designed to equip you with the essential skills needed to effectively use ATLAS.ti for qualitative data analysis. You will learn how to navigate the ATLAS.ti interface, import and manage qualitative data, and apply coding and annotation tools to uncover meaningful insights. Additionally, the workshop will introduce you to the powerful AI-driven features in ATLAS.ti, such as sentiment analysis, automatic coding, and theme extraction, enhancing your analytical capabilities. The workshop will include practical exercises to reinforce your learning, allowing you to work hands-on with sample data sets. By the end of the session, you will have a solid foundation in using ATLAS.ti for your qualitative research projects, enabling you to enhance your analytical capabilities and streamline your research process.
NVivo is a qualitative data analysis tool designed to help researchers organize and analyze a range of data types, including documents, survey responses, audio and video files, images, and social media content, all within one platform. This two-hour workshop will focus specifically on preparing and analyzing interview and survey data in NVivo.
Throughout this workshop, participants will:
By the end of the workshop, users will be equipped with practical strategies to streamline interview and survey analysis within NVivo.
Multilevel regression models are models in which the experimental units are nested within larger groupings such as students within classrooms or workers within factories. Both the individual experimental unit (student) and the higher level grouping variable (classroom) can contribute unique variance to the variables in the regression and the relationship between them. The workshop will work through a simple two-level model using two popular statistical packages, the SAS 'Proc Mixed' procedure and the Mplus 'Two-level Random' analysis.
NVivo is a qualitative data-analysis package used to organize and analyze resources used in qualitative research. NVivo allows researchers to analyze documents, electronic web surveys, audio and video files, images, database tables, web pages, and social media content in one platform. This workshop will provide an overview of the software. The interface and features are demonstrated, along with examples of research projects utilizing the software. Participants will import and organize data in NVivo, add research notes and annotations, and code qualitative data in a variety of ways. Participants will also understand the potential of NVivo as a tool for organizing, questioning, visualizing, and reporting qualitative research data. It takes approximately 6 hours to complete this workshop.
NVivo is a qualitative data analysis tool designed to help researchers organize and analyze a range of data types, including documents, survey responses, audio and video files, images, and social media content, all within one platform. This two-hour workshop will focus specifically on preparing and analyzing interview and survey data in NVivo.
At the end of this workshop, participants will be able to:
By the end of the workshop, users will be equipped with practical strategies to streamline interview and survey analysis within NVivo.
In this hands-on workshop you will learn to use the Python programming language to create list, dictionary, tuples, and strings; how to manage your files and workspace; how to control Python functions; how to read comma-separated data files; how to select variables and observations; how to create plots.
In this introductory workshop, you will learn how to create and deploy a web-based survey using Qualtrics. Basic question construction (single and multiple response questions, grid/matrix tables for Likert questions, text questions) will be covered, as well as how to add Display and Skip Logic, which allows the respondent to skip questions that do not pertain to them, thereby shortening their response time. An overview of the reporting tools, how to export data as an SPSS dataset and an overview of best practices for collecting online data will also be presented.
Learn how to create compelling and effective data visualizations in RStudio with ease. The goal is to enhance your ability to create graphs intuitively and develop a better sense of what works and what does not work in data visualization. We will conclude the workshop with tips and tricks to make your graphs, audience, and publication ready.
In this hands-on Zoom workshop, you will learn to program common statistical analysis including frequency tables, descriptive statistics, chi-square, correlation, linear regression, t-tests and analysis of variance with post-hoc tests. A course in statistics or prior data analysis experience is recommended. Recommended prerequisites for this course include the R-Basics and R-Markdown workshops. It takes approximately 2 hours to complete this workshop.
SAS is a popular package for data analysis and graphics. This workshop shows you how to run the most widely used statistics and graphics in SAS, as well as how to interpret the output. Topics include importing data in SAS, SAS procedure statements, exploring your data, measuring the strength of association between two continuous variables, t-tests, chi-square tests, analysis of variance, regression, how to produce plots in SAS, and where to go to learn more. The hands-on session will employ SAS for Microsoft Windows. Participants should have a knowledge of bivariate statistics.
SAS is one of the most popular software packages for data analysis and visualization. It is a powerful tool that enables programmers to perform various tasks including information retrieval, data management, report writing and graphics, statistical analysis, and data mining. This workshop provides instruction on how to program effectively using SAS and understand basic concepts about SAS programs.
SPSS is a popular package for data analysis and graphics. This hands-on workshop takes you from starting the package through data coding, entry and cleanup, creating new variables, how to get output for different groups, how to request an analysis or a graph, manipulating the output, and where you can learn more.
SPSS is a popular package for data analysis and graphics. This workshop shows you how to run basic statistical procedures and graphics in SPSS, as well as how to interpret the output. Topics include exploring your data to find errors, extreme values and sparse categories; examining the distributions of continuous variables; measuring the association between two continuous variables; comparing two groups on categorial and continuous variables and where to go to learn more.