ArcGIS Online is a simple cloud-based utility for producing, editing, and sharing geospatial data. ArcGIS Online is meant to act as a Web-based mapping solution for everyone from GIS professionals to those with no formal GIS training. This workshop will give an overview of ArcGIS Online features. Researchers will learn how to: Upload and manipulate data; map points, lines, and areas; enrich map layers with data; embed maps in Web sites; and share maps in a multitude of ways.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

This workshop introduces Generalized Additive Models (GAM) as a flexible extension of linear regression for modeling complex, nonlinear relationships in research data. Participants will gain a conceptual understanding of how GAMs work, guidance on when to apply them over traditional methods, and practical experience fitting and interpreting GAM models using the mgcv package in R. A working knowledge of basic regression is recommended.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

This workshop provides a comparative overview of data weighting methods used in secondary data analysis. Designed for researchers with basic statistical knowledge, the workshop examines how SPSS, Stata, and R each address different weighting needs, from probability and frequency weights in SPSS, to multi-stage and replicate weight designs in Stata, to custom weighting schemes in R. Topics include key secondary data sources, weight structures, and a platform decision framework. Real-world datasets such as NHANES, BRFSS, and NCES will be used throughout.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

In this workshop, you will learn the fundamental methods of survival analysis using SAS and is designed for researchers, students, and faculty with basic statistical knowledge. Topics include Kaplan–Meier survival curves, the log-rank test, restricted mean survival time (RMST), and the Cox proportional hazards model. You will also learn how to assess the proportional hazards assumption and apply appropriate methods when the assumption is violated.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

The Torch Deep Learning Add-In for JMP Pro enables users to train and deploy predictive models that use image, text, or tabular features as inputs to predict binary, continuous, or nominal targets. This workshop will briefly review The Torch Deep Learning Add-In basic concepts and applications. Practical demos will be conducted throughout the session and participants will be able to gain hands-on experiences. Prior preliminary knowledge of JMP is preferred but not required.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

Mediator and moderator variables are terms in a regression model which intervene between the independent and dependent variables and alter the relationship between them. This workshop is designed for researchers, students, and faculty with basic statistical knowledge and will explain the difference between mediation and moderation effects and show how to model and assess them. Examples will use both traditional statistical software and structural equation modeling software.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

This workshop introduces mixture modeling as a powerful technique for uncovering hidden subgroups within your data. Participants will learn how to identify latent classes, underlying subpopulations that drive patterns in observed data, and how to determine the optimal number of classes using model fit comparisons and significance testing. How to estimate latent class membership probabilities for individual observations and integrate the resulting classification variable into broader regression frameworks, whether as a predictor or an outcome will also be presented. This workshop is ideal for researchers looking to move beyond one-size-fits-all models and capture meaningful heterogeneity in their data.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

QGIS Fundamentals provides an introduction to QGIS, a free, open-source desktop Geographic Information System (GIS) used for mapping, spatial analysis, and data visualization. This workshop covers the QGIS interface, importing and managing spatial data, creating and styling maps, working with coordinate reference systems, and performing basic geoprocessing tasks. Participants will also learn where to obtain publicly available GIS data and explore common workflows for research applications. No prior GIS experience is required, making this workshop a starting point for students, faculty, and staff interested in incorporating geospatial analysis into their research or coursework.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

This workshop provides an introduction to response surface methods and designs using JMP software and is designed for researchers, students, and faculty with basic statistical knowledge. Topics covered include an introduction to response surface, path of steepest ascent, second-order models, and optimization. Practical engineering examples will be shown from Montgomery's Design and Analysis of Experiments along with ways to apply these techniques to other research fields.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

This workshop will cover additional SLURM job topics such as job arrays, job dependencies, viewing resource usage, and some common job patterns.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused 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.

Throughout this workshop, participants will:

• Prepare interview and survey data for import.
• Create cases and add classifying information to keep data organized and accessible.
• Link transcribed interview data to corresponding audio or video files.
• Use various query options—such as word frequency, text search, and coding comparison—to identify core themes.
• Systematically code data to capture core themes.

By the end of the workshop, users will be equipped with practical strategies to streamline interview and survey analysis within NVivo.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused 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:

• Prepare interview and survey data for import.
• Create cases and add classifying information to keep data organized and accessible.
• Link transcribed interview data to corresponding audio or video files.
• Use various query options—such as word frequency, text search, and coding comparison—to identify core themes.
• Systematically code data to capture core themes.

By the end of the workshop, users will be equipped with practical strategies to streamline interview and survey analysis within NVivo.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

This workshop provides an introduction to the R programming language and is designed for researchers, students, and faculty with basic coding experience. This workshop will teach users how to get started in the R programming language covering topics such as workspace setup, reading in data, arithmetic, logic, functions, data structures, data management, summary statistics, and data visualizations. Prior programming experience or attending the Getting Started with R and RStudio workshop is recommended.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

This workshop provides an introduction to R and RStudio for researchers, students, and faculty with little to no prior programming experience. Participants will learn how to navigate the RStudio environment and understand foundational R programming concepts. Topics covered include the RStudio interface and global settings, R data types and structures, working with packages, importing, and exploring data. By the end of the session, participants will have the foundational skills needed to begin working with data in R and RStudio. No prior programming experience is required.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused 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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

SAS is one of the most popular data analysis and visualization software packages. The SAS Output Delivery System (ODS) Graphics procedures SGPLOT, SGPANEL, and SGSCATTER are powerful yet easy-to-use tools for creating publication-quality graphs and charts from your empirical data. This workshop is geared towards researchers requiring publication-quality graphics with a working knowledge of the SAS software package. A recommended prerequisite for this workshop is the SAS: Basics workshop.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.

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.

Workshop occurs in Eastern Standard Time (EST).

This is a researcher focused workshop.