OIT Training Research Workshop Descriptions (Summary)
Featured Workshop
R: Machine Learning

View Workshop Times
R for Machine Learning – 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.

R This is an researcher focused workshop.
Applied Statistics: Post Hoc Tests For Interactions (Special Topic)

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Post hoc tests (from Latin post hoc which means “after this”) consists for analyses that are not specified prior to seeing the data and are used to explore how significant factors differ. This special topics workshop will provide an overview of post hoc analyses for interactions, including both between and within subject comparisons, as well as provide information on the many methods of controlling the Type 1 error rate. This is a special topic. Special topics are advanced, one-time workshops open to anyone interested in attending.

R This is an researcher focused workshop.
Data Visualization: Best Practices

Sorry, there are no scheduled times for this workshop. Contact us for more info.
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. This workshop is optionally followed by two others: Excel Data Visualization and R Data Visualization. Those show how to make the graphs discussed in this workshop.

R This is an researcher focused workshop.
JMP: Basics

Sorry, there are no scheduled times for this workshop. Contact us for more info.
New workshop! 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; and conduct basic data analysis. Hands-on examples will be provided throughout the session. Prior knowledge of JMP is not required.

R This is an researcher focused workshop.
JMP: Text analysis

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Text analysis is the process of deriving information from text by creating sets of structured data out of unstructured documents. The purpose of typical text analysis tasks include text categorization, text clustering, concept extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling. This workshop will briefly review the ways JMP can be used to perform the techniques of text analysis. Practical tutorials 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.

R This is an researcher focused workshop.
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 an researcher focused workshop.
NVivo: Automated Coding and Insights

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Nvivo12 includes various types of auto-coding features.  Within this workshop, participants will learn about the pattern based auto-coding tools and the automated theme and sentiment extraction tools available in Nvivo12 .  The auto-coding tools within Nvivo are designed for coding large volumes of textual data quickly.  Participants will learn about the datasets most suitable for auto-coding and explore the process of using auto-coding. Hands on practice and examples will be provided using interview data and social media data.  

R This is an researcher focused workshop.
NVivo: Completing Literature Reviews Using Nvivo Software

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Qualitative data-analysis tools such as NVivo are immensely useful for researchers who analyze, synthesize, and write up literature reviews. This workshop will focus on using NVivo (a qualitative data-analysis tool) to organize, query, visualize, and summarize data for a literature review. Additionally, participants will learn how to annotate literature, add research notes, and integrate NVivo with bibliographic software packages such as Endnote and Zotero.

R This is an researcher focused 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 an researcher focused workshop.
NVivo: Fundamentals

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 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 NVivo11, add research notes and annotations, and code qualitative data in a variety of ways. Participants will also understand the potential of NVivo11 as a tool for organizing, questioning, visualizing, and reporting qualitative research data.

R This is an researcher focused workshop.
NVivo: Introduction

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Qualitative data-analysis tools such as NVivo are immensely useful for researchers who analyze, synthesize, and write up literature reviews. This workshop will focus on using NVivo (a qualitative data-analysis tool) to organize, query, visualize, and summarize data for a literature review. Additionally, participants will learn how to annotate literature, add research notes, and integrate NVivo with bibliographic software packages such as Endnote and Zotero.

R This is an researcher focused workshop.
NVivo: Visualizing Qualitative Data Using Nvivo

Sorry, there are no scheduled times for this workshop. Contact us for more info.
NVivo12 is a qualitative data-analysis package used to organize and analyze resources used in qualitative research. NVivo12 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 an researcher focused workshop.
Post Hoc Tests for Main Effects

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Post hoc tests (from Latin post hoc which means “after this”) consists for analyses that are not specified prior to seeing the data and are used to explore how significant factors differ. This special topics workshop will provide an overview of post hoc analyses for main effects, including both between and within subject comparisons, as well as provide information on the many methods of controlling the Type 1 error rate.

R This is an researcher focused 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 an researcher focused workshop.
Python: Machine Learning (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 use Python to discover useful patterns in your data and to make accurate predictions. Topics will include data preparation, automated variable selection, cross-validation methods, and several popular modeling approaches including decision trees and neural networks. We will use the popular sci-kit learn and yellow brick package which integrates the various steps and standardizes them across many modeling methods. This is a special topic. Special topics are advanced, one-time workshops open to anyone interested in attending.

R This is an researcher focused workshop.
QuestionPro for Qualtrics Users

Sorry, there are no scheduled times for this workshop. Contact us for more info.
This workshop is targeted for current Qualtrics users and will provide an overview of building and deploying surveys in QuestionPro and how the process compares to Qualtrics. The workshop will also cover information on how to migrate surveys and data from Qualtrics to QuestionPro. Prerequisite: Should be a current Qualtrics user.

R This is an researcher focused workshop.
QuestionPro: Introduction

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Introduction to QuestionPro: In this hands-on workshop, you will create and deploy a web-based survey using QuestionPro. 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 in 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 and how to export data will also be presented.

R This is an researcher focused 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 an researcher focused workshop.
R: Data Visualization

Sorry, there are no scheduled times for this workshop. Contact us for more info.
R’s ggplot2 package lets you visualize data, making even complex graphs easily. In this hands-on workshop you will learn the grammar of graphics approach and create a wide range of graphs including bar plots, dot plots, pie charts, line charts, and scatter plots with various types of fit lines. You will also learn how to easily create graphs divided up by groups. The course shows how to make all the graphs discussed in Data Visualization Best Practices (recommended as a prerequisite, but not required). Familiarity with the R programming language is also helpful but not required.

R This is an researcher focused workshop.
R: Statistics

Sorry, there are no scheduled times for this workshop. Contact us for more info.
In this hands-on 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. Prerequisite: R Basics Time: 2 hours

R This is an researcher focused workshop.
R: Text Analysis

Sorry, there are no scheduled times for this workshop. Contact us for more info.
In this hands-on workshop you will learn to use R to read text from various sources, extract both sentiment and topics from it, and optionally use that information in statistical or machine learning models. We will use the tidytext package, which integrates functions from several other packages.

R This is an researcher focused workshop.
SAS: Analysis of Covariance Using (Special Topic)

Sorry, there are no scheduled times for this workshop. Contact us for more info.
An Analysis of Covariance (ANCOVA) is performed when a researcher would like test an outcome for differences in categorical factors, while accounting for outside variability from additional continuous measures. This allows for the researcher to more precisely evaluate treatment differences while accounting for outside sources of variability. This workshop will discuss how to use SAS to perform one-way and two-way ANCOVA. Tests for the homogeneity of slopes, equal slope ANCOVA, and unequal slope ANCOVA models will be discussed. This is a special topic. Special topics are advanced, one-time workshops open to anyone interested in attending.

R This is an researcher focused 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 procedures statements, exploring your data, measuring the strength of association between two continuous variables, comparing two groups on categorical and continuous variables, t-tests, analysis of variance and regression using the general linear model, how to produce plots in SAS, and where to go to learn more. The hands-on lab session will employ SAS for Microsoft Windows. Participants should have a basic knowledge of statistics.

R This is an researcher focused workshop.
SAS: Multi-level Regression Models in SAS Proc Mixed

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Multi-level regression models, also known as hierarchical linear models or random coefficient models, are regression models with predictor variables measured a various different levels. For example, a model of standardized test score performance could contain predictors measured at the student level (e.g. age, gender), the classroom level (e.g. teacher’s years of experience), and at the school level (e.g. percent free/reduced lunch). Another type of multi-level model is the growth curve model which measures the dependent variable at multiple time points across a group of students. Proc Mixed allows the researcher to specify whether the slopes and/or intercepts of lower level predictors are allowed to vary within higher levels, and determines the variance in the dependent variable due to the higher level grouping factors (e.g. classroom, school).

R This is an researcher focused workshop.
SAS: ODS Graphics for Data Visualization (Special Topic)

Sorry, there are no scheduled times for this workshop. Contact us for more info.
The SAS ODS graphics procedures SGPLOT SGPANEL and SGSCATTER are a powerful but easy to use tools for creating publication quality graphics from your empirical data This workshop is geared for researchers who require publication quality graphics and who have a working knowledge of the SAS software package. This is a special topic. Special topics are advanced, one-time workshops open to anyone interested in attending.

R This is an researcher focused 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 an researcher focused workshop.
SPSS AMOS: Structural Equation Modeling

Sorry, there are no scheduled times for this workshop. Contact us for more info.
Structural equation modeling (SEM) is a multivariate statistical analysis technique that is used to analyze the structural relationship between measured variables and latent constructs. This workshop is a brief overview of structural equation modeling using the SPSS AMOS software and features an introduction to the logic of SEM, the assumptions and required input for SEM analysis, and how to perform SEM analyses using SPSS AMOS. Throughout the course, participants will be able to do practical exercises. Prior preliminary knowledge of SPSS is preferred but not required.

R This is an researcher focused 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. The hands-on lab session will employ the easy-to-use version for Microsoft Windows, but the menus are almost identical on Macintosh and Linux. Participants should have basic knowledge of Windows, Macintosh, or UNIX X-Windows. You may bring your own laptop if you wish.

R This is an researcher focused 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 the most widely used statistics 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 strength of association between two continuous variables; comparing two groups on categorical and continuous variables and where to go to learn more. The hands-on lab session will employ the easy-to-use version for Microsoft Windows, but the menus are almost identical on Macintosh and UNIX. Participants should have a basic knowledge of statistics.

You may bring your own laptop if you wish.

R This is an researcher focused workshop.

SPSS: Mixed Model Analysis

Sorry, there are no scheduled times for this workshop. Contact us for more info.
The Linear Mixed Models technique extends the general linear model to allow for correlated design structures and nonconstant variability in the model. SPSS provides a set of efficient tools for analyzing mixed models. This workshop introduces the basic concepts of mixed models and demonstrates how to process and analyze mixed models in SPSS. Hands on tutorials will be conducted throughout the session, giving attendees a chance to see SPSS in action for mixed model analysis. Prior preliminary knowledge of SPSS is preferred but not required.

R This is an researcher focused workshop.