OIT Training Research Workshop Descriptions (Summary)
Online Self-Paced Workshops
OIT Online Self-Paced Workshops have moved to Canvas Catalog, our outreach learning platform.
View and enroll in the workshops at: To access individual workshops, please select the "Enroll in Online Workshop" link in the descriptions.
Featured Workshop
Mplus, SAS: Analyzing Multilevel Regression Models with SAS and Mplus

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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 Mixed procedure and the Mplus Twolevel Random analysis.

R This is a researcher focused workshop.
Featured Workshop
NVivo: Data Visualization

Sorry, there are no scheduled times for this workshop. Contact us for more info.
NVivo11 is a qualitative data-analysis package used to organize and analyze resources used in qualitative research. NVivo11 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 in-depth review of the data visualization tools included in Nvivo. Participants will practice creating queries, maps, charts and diagrams.

R This is a researcher focused workshop.
Featured Workshop
NVivo: Fundamentals

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.
Featured Workshop
Python: Introduction

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.
Featured Workshop
Qualtrics: Basics

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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.

R This is a researcher focused workshop.
Featured Workshop
R: Basics

Sorry, there are no scheduled times for this workshop. Contact us for more info.
In this hands-on workshop you will learn to use the R programming language to create vectors, factors, and data frames; how to manage your files and workspace; how to control R functions; how to read comma-separated data files; how to select variables and observations; how to create plots, and how to perform basic statistical analyses.

R This is a researcher focused workshop.
Featured Workshop
R: Statistics

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.
Featured Workshop
SAS: Data Analysis

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.
Featured Workshop
SAS: Programming Basics

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.
Featured Workshop
SPSS: Basics

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.
Featured Workshop
SPSS: Data Analysis

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.
ArcGIS: Experience Builder Fundamentals

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Dive into the world of geospatial web development with our hands-on, introductory workshop on ArcGIS Experience Builder. Participants will learn the basics of Experience Builder by getting acquainted with the interface, tools, and various features of the platform. Participants will gain an understanding of how to navigate and customize it for individual projects. They will delve into the process of creating intuitive web applications and learn how to create and configure widgets, add pages or windows, apply templates. By the end of the workshop, participants will have the confidence and practical knowledge to start their own geospatial projects with ArcGIS Experience Builder. Please note that a basic understanding of GIS concepts will be beneficial but not mandatory for this workshop.

R This is a researcher focused workshop.
ArcGIS: Online Fundamentals

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.
ArcGIS: Story Map Introduction

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Get introduced to this intuitive tool and learn to navigate its interface and understand its potential in storytelling. Create engaging narratives by integrating text, interactive maps, and other multimedia content to create compelling, data-driven narratives. Finally, learn to publish and share your story. By the end of the workshop, participants will have the skills to transform data into impactful narratives using ArcGIS StoryMaps. No previous GIS experience is necessary.

R This is a researcher focused workshop.
Mediated Regression Models with Categorical Variables (Special Topic)

Sorry, there are no scheduled times for this workshop. Contact us for more info.
The presence of categorical dependent or mediator variables in a regression model can pose challenges to calculating indirect effects and percent mediation. Some legs of the mediation triangle are calculated using logistic regression while other legs are calculated using ordinary least squares regression. Because the legs are calculated using different algorithms they cannot simply be multiplied together to calculate the indirect (mediation) effect. A way to overcome this challenge is to use a causal mediation procedure such as the SAS CAUSALMED Procedure.

R This is a researcher focused workshop.
NVivo for Literature Reviews

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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 and how to perform literature reviews. The interface and features are demonstrated, along with examples of research projects utilizing the software. This workshop covers using NVivo to apply themes, codes, and attributes to categorize and label your data; searching and filtering your data by keywords, queries, or criteria; visualizing and mapping your data to identify patterns, connections, and gaps; and generating reports and summaries to communicate your findings. Participants will also understand the potential of NVivo as a tool for organizing, questioning, visualizing, and reporting qualitative research data.

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Analyzing Multilevel Regression Models with SAS and Mplus

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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 'Mixed' procedure and the Mplus 'Two level Random' analysis. This workshop takes approximately 1 hour and 30 minutes to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Basic Statistical Concepts

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Basic statistical concepts are fundamental to understanding more in-depth analysis that are typically performed when conducting quantitative research. This workshop discusses the contribution of statistics to the scientific method and provides an overview of the statistical methods associated with basic data analysis. Topics include basic statistical concepts, developing a research hypothesis, the importance of statistical power, an explanation of basic statistical tests, and guidelines on how to present research results. An example is provided of a past research project in veterinary medicine. This workshop takes approximately 45 minutes to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Data Visualization: Best Practices

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The same data visualization could be good or bad depending on the point you’re trying to make. We will briefly discuss your options of using words and tables, then we will focus a variety of graphical displays, showing when each works best. Several different plot types are discussed including histograms, bar charts, dot plots, pie charts, line charts, box plots, and scatter plots with various types of fit lines. This presentation takes approximately 1 hour to complete. This workshop is optionally followed by R: Data Visualization which shows how to make the graphs discussed in this workshop.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: JMP: Basics

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Students will learn the basics of using the JMP interface to accomplish the following tasks: Manage data effectively; Explore data by using the software's extensive graphical capabilities; Create and manage data summary reports in JMP; Conduct basic data analysis; Find help and learning resources. Hands on tutorials will be conducted throughout the session and prior preliminary knowledge of JMP is not required. This workshop takes approximately 1 hour to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: JMP: Introduction to Design of Experiments

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Design of experiments (DOE) is the design of a process aimed to describe and explain sources of variability to improve product and process development. In simpler terms, experimentation is used to determine causation. This workshop begins with an overview of basic statistical concepts, the scientific method, and the statistical contributions to the scientific method. A simple example is used to walk through the scientific method while demonstrating statistical thinking, methodology and analysis. Basic principles of DOE are then covered leading into specific types of designs. Completely Randomized Designs (CRD) and Randomized Complete Block Designs (RCBD) are introduced. The workshop ends with the development of these designs built in JMP software. This workshop takes approximately 1 hour and 45 minutes to complete.


Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Mediated Multilevel Regression Models

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A mediated regression is one in which the relationship between the independent and dependent variables is partially or totally due to the action of a third intervening variable. In this workshop we will extend the idea of mediated regression to multilevel models, models made up of variables from more than one level of aggregation, e.g. students within classrooms, etc. A working knowledge of basic mediated regression and multilevel modeling is desirable. This workshop takes approximately 1 hour and 30 minutes to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Mediator and Moderator Regression

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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 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. This workshop takes approximately 1 hour and 30 minutes to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Moderated Mediation Regression Models

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In a mediated regression model the relationship between the dependent and independent variables is at least partially the result of the intervention of a third variable, the mediator. In moderated mediation this mediation effect is in turn influenced by the value of yet another variable, the moderator. This workshop will cover how to run a moderated mediation model in several popular software packages and how to interpret the results. This will include a discussion of, and SAS and Mplus code for, the Johnson-Neyman technique for determining the range of moderator values for which the mediation is and is not statistically significant. A basic understanding of linear regression as well as the concepts of mediation and moderation will be assumed. This workshop takes approximately 1 hour and 15 minutes to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Moderated Regression Using Multi-group Analysis in Amos

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A moderated regression is one in which the relationship between a predictor and the dependent variable is altered (moderated) by the value of a third variable, called the moderator. In this 10-minute video we will discuss how to use the multi-group analysis feature of the Amos structural equation modeling software to assess the statistical significance of the moderation effect of a categorical moderator variable.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: NVivo: Fundamentals

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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.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Python: Basics

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In this hands-on workshop you will learn how to use the Python programming language to create a python variable-number, string, list, dictionary, and tuple; how to create Python functions, condition statements and iteration; how to install a python package; how to manage your files and workspace; how to read comma-separated data files; how to create plots using Seaborn package. This workshop takes approximately 1.5 hours to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: R: Basics

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In this hands-on previously recorded Zoom workshop you will learn to use the R programming language to create vectors, factors, and data frames; Manage your files and workspace; Control R functions; Read comma-separated data files; Select variables and observations; Create plots and perform basic statistical analyses. This workshop takes approximately 2 hours to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: R: Data Visualization

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R’s ggplot2 package lets you visualize data and easily make complex graphs. In this hands-on previously recorded Zoom workshop you will learn the grammar of graphics approach and create a wide range of graphs including histograms, bar charts, dot plots, pie charts, line charts, QQ plots, box plots, and scatter plots with various types of fit lines. You will also learn how to easily create graphs divided up by groups and mosaic combinations. This workshop takes approximately 2 hours to complete. A recommended prerequisite for this course is the R: Basics workshop.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: R: Machine Learning

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In this hands-on workshop you will learn how to use R to discover useful patterns in your data and to make accurate predictions. Topics will include data preparation, automated variable selection, cross-validation methods, model tuning, and several popular modeling approaches including decision trees, random forests, gradient boosting machines, and neural networks. We will use the popular tidymodels package which integrates the various steps and standardizes them across many modeling methods. This workshop takes approximately 8 hours to complete. A recommended prerequisite for this course is the R: Basics workshop.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: R: Markdown

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In this hands-on previously recorded Zoom workshop you will learn how to blend your research writing, programming, and output into a single word processing style document using the R Markdown language in RStudio. This style of work is known as Reproducible Research since every phase of the analysis can be recreated by “knitting” a single document. The output document can be HTML with an interactive table of contents, or Word or PDF formats. While we will be using it with the R language, Markdown commands apply to many other languages such as Python and SAS. This workshop takes approximately 2 hours to complete. A recommended prerequisite for this course is the R: R: Basics workshop.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: R: Statistics

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In this hands-on previously recorded 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 posthoc tests. This workshop takes approximately 2 hours to complete. A recommended prerequisite for this course is the R: Basics workshop.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: Research Computing Support Overview of Services

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In this brief previously recorded 30-minute presentation, we will discuss the various software and services that Research Computing Support offers Students, Faculty, and Staff members. We cover how RCS provides assistance with analyzing data via statistical consulting, qualitative analysis, GIS support, content analysis, and data mining. This includes how we can help with: Designing studies, experiments, and determining sample size; Create, deploy, and analyze web survey data; Provide co-authorship, and several other research related topics. In addition, we discuss the research software available on campus and how to get assistance.

Enroll in Online Workshop

R This is a researcher focused workshop.
ONLINE, SELF-PACED: SAS: ODS Graphics

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SAS is one of the most popular software packages for data analysis and visualization. The SAS Output Delivery System (ODS) Graphics procedures SGPLOT, SGPANEL, and SGSCATTER are powerful but easy to use tools for creating publication quality graphs and charts from your empirical data. This workshop is geared towards researchers who require publication quality graphics along with a working knowledge of the SAS software package. A recommended prerequisite for this course is the SAS: Programming Basics workshop. This workshop takes approximately 1 hour to complete.

Enroll in Online Workshop

R This is a researcher focused workshop.
R: Markdown

Sorry, there are no scheduled times for this workshop. Contact us for more info.
In this hands-on Zoom workshop, you will learn how to blend your research writing, programming, and output into a single word processing style document using the R Markdown language in RStudio. This style of work is known as Reproducible Research since every phase of the analysis can be recreated by “knitting” a single document. The output document can be HTML with an interactive table of contents, or Word or PDF formats. While we will be using it with the R language, Markdown commands apply to many other languages such as Python and SAS. A recommended prerequisite for this course is the R-Basics workshop. It takes approximately 2 hours to complete this workshop.

R This is a researcher focused workshop.
Research Special Topic: Inter-Rater Reliability for Observational Data

Sorry, there are no scheduled times for this workshop. Contact us for more info.
When working with objective measurements or ratings, it is prudent to test the reliability of these measurements. To measure inter-rater reliability (IRR) two or more researchers rate the same observational unit and then inter-rater reliability (IRR) is used to measure consistency of observational ratings provided by the raters. The type of rating (categorical, ordinal, scale) and number of raters will determine the appropriate type of inter-rater reliability analysis. This workshop will focus on different methods of measuring IRR, including percent agreement, Cohen’s Kappa, Fleiss’s Kappa, Gwet’s AC2 and intra-class correlations (ICC).

R This is a researcher focused workshop.
Research Special Topic: Introduction to Design of Experiments with JMP

Sorry, there are no scheduled times for this workshop. Contact us for more info.
This workshop introduces basic statistical concepts as an introduction to experimental design, specifically focusing on engineering applications. After a review of a simple example, we will dive deeper into key principles for designing and planning an experiment.

R This is a researcher focused workshop.
Research Special Topic: Mixed Model Analysis in JMP Pro

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Linear mixed model is a power tool to make accurate and precise inferences about correlated observations in designed experiments. JMP is a suite of computer programs for statistical analysis and data visualization developed by the JMP business unit of SAS Institute. JMP integrates statistics with dynamic graphics and is an ideal environment within which to learn and apply mixed models. This workshop is designed to demo in JMP pro how to analyze common mixed models such as randomized block, split-plot, and repeated measures designs, how to appropriately set up and interpret fixed and random effects, how to simulate mixed models to assess power, and other important sampling characteristics. Hands on tutorials will be conducted throughout the session. Prior preliminary knowledge of JMP pro is not required.

R This is a researcher focused workshop.
Research Special Topic: NVivo - Visualizing Qualitative Data

Sorry, there are no scheduled times for this workshop. Contact us for more info.
In this workshop, participants will become familiar with NVivo and discover the robust functionalities of NVivo for qualitative and mixed method analysis. Participants will learn how to utilize NVivo's visualization tools to create models, charts, and graphs to bring qualitative data to life. Finally, participants will learn how to share findings utilizing NVivo's rich visual outputs. By the end of the workshop, participants will be equipped with the necessary skills to use NVivo for visualizing and analyzing qualitative data, allowing users to draw and communicate insights effectively. No prior experience with NVivo is required.

R This is a researcher focused workshop.
Research Special Topic: Ordinal Models in SPSS

Sorry, there are no scheduled times for this workshop. Contact us for more info.
This workshop will present regression models for ordinal data. Participants will learn the essentials of ordinal regression. We will discuss inclusion of covariates, interaction effects, and interpretation of results. Participants will learn how to fit semiparametric transformation models to continuous data using ordinal regression models. All methods will be illustrated using STATA statistical software.

R This is a researcher focused workshop.
Research Special Topic: R Quarto (Special Topic)

Sorry, there are no scheduled times for this workshop. Contact us for more info.
In this hands-on workshop you will learn how to blend your research writing, programming, and output into a single word processing style document using the R Quarto language in RStudio. This style of work is known as Reproducible Research since every phase of the analysis can be recreated by rendering a single document. The output document can be produced in HTML, Word, and PDF formats. While we will be using it with the R language, Quarto commands apply to many other languages such as Python and Julia. A recommended prerequisite for this course is the R-Basics workshop. It takes approximately 2 hours to complete this workshop.

R This is a researcher focused workshop.
Research Special Topic: Sky High Mapping - An Introductory Workshop on Drone2Map for ArcGIS

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Drone2Map for ArcGIS is a desktop app that turns raw still imagery from drones into valuable information products in ArcGIS. In this workshop, participants will be guided on how to make the most out of this tool. Participants will explore the Drone2Map interface and become familiar with the features. Participants will learn how to navigate effectively within the application. Participants will gain hands-on experience in processing raw drone-captured imagery into usable formats. Finally, participants will understand how to seamlessly integrate outputs with the ArcGIS platform for further geospatial analysis and sharing. By the end of this workshop, participants will have the foundational skills to effectively use Drone2Map for creating professional-quality imagery products from drone-captured photos. No prior experience with Drone2Map or ArcGIS is required.

R This is a researcher focused workshop.
Research Special Topic: SQL introduction using MySQL

Sorry, there are no scheduled times for this workshop. Contact us for more info.
In this hands-on workshop, you will learn how to use MySQL to create a database that allows you to build many tables to store and manipulate data, like insert, select, update, and delete data. You will also learn SQL syntax, table joins/merging, create MySQL database views and virtual tables, and generate reports from the data. Installation of MySQL 8.0 before the workshop is required.

R This is a researcher focused workshop.
Research: Mediator and Moderator Regression

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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 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.

R This is a researcher focused workshop.
SAS: ODS Graphics

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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.

R This is a researcher focused workshop.