OIT Training Research Workshop Descriptions (Summary)
Analyzing Social Media Data for Research

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Discover how NVivo’s NCapture tool supports the analysis social media content from Twitter, Facebook, LinkedIn, and YouTube. Participants will be provided with an overview of how NCapture and NVivo make it possible to use social media data within research. Within the workshop, participants will extract data from social media platforms, code, and query social media data, analyze the social media data, study information flow using social network analysis, visualize, summarize and export social media data.

R This is an researcher focused workshop.
Crossover Design Analysis

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A crossover design is a repeated measurements design where each experimental unit (subject) receives a sequence of treatments throughout multiple phases of the study. A washout period is utilized in order to return each subject to their baseline dependent measure prior to applying the next treatment in the sequence to each experimental unit. This workshop will talk about how to use JMP and SAS to analyze crossover designs with a mixed effects analysis of variance. Advantages and disadvantages of two separate equivalent approaches will be discussed.

R This is an researcher focused workshop.
Data Visualization with NVivo11

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NVivo11 provides a comprehensive suite of visualizations that give researchers the tools to picture their qualitative research and present a story of findings. NVivo11 assists in organizing, analyzing, and displaying information with a variety search, query and visualization tools. Visualization tools include mind maps, concept maps, project maps, comparison and explore diagrams, graphs, charts and cluster analysis. Users can use visualizations to organize materials, uncover trends and present findings. Participants in this workshop will learn how to use a variety of the maps, charts, graphs, and models available in NVivo11.

R This is an researcher focused workshop.
Get to Know NVivo11

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NVivo11 is a qualitative data analysis package used to organize and analyze resources used in qualitative research. NVivo11 can work with documents, audio files, video files, images, database tables, web pages, social media content, and more. This session will provide an overview of the software. The interface and features are demonstrated, and examples of assignments and research projects utilizing the software are presented. Hands-on learning opportunities will be offered in our other NVivo11 workshops.

R This is an researcher focused workshop.
High Performance Computing (Newton HPC)

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This tutorial will introduce new researchers in computing-intensive fields to use of the Newton High Performance Computing (HPC) Linux cluster. It will involve hands-on examples of cluster computing, data distribution, parallel processing, and other related techniques. Participants should have existing Linux command-line experience or should first complete the online tutorial "Linux Command-line Skills." This is a self-directed, online workshop that should be completed independently. ACCESS THE ONLINE WORKSHOP AT http://tiny.utk.edu/Newton_HPC. Contact the instructor when completed or if you have questions. You must complete the online workshop and contact the instructor to get the password to register.

R This is an researcher focused workshop.
Image Processing Using ImageJ

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This is an introductory course on computer processing of visual information using ImageJ. The topics to be covered include basic image processing techniques such as image enhancement and segmentation. We will mainly use ImageJ for demonstration, but MATLAB Image Processing Toolkit and R image processing packages will also be briefly discussed. Preliminary knowledge of ImageJ is not required.

R This is an researcher focused workshop.
Introduction to ArcGIS Online

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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.

R This is an researcher focused workshop.
Introduction to ArcGIS Pro

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ArcGIS Pro is new ESRI software package with a radically different user interface and a new way of working with GIS data within the ESRI platform. In this workshop, participants will become familiar with the ArcGIS Pro interface and terminology. Participants will create an ArcGIS Pro project and assign tasks, import MXD files, work with data stored locally and ArcGIS Online data, edit 2D and 3D data, perform geoprocessing and spatial analysis tasks, and create and share multiple layout for a single map.

R This is an researcher focused workshop.
Introduction to MATLAB

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MATLAB is the most popular software for solving problems in matrix algebra. The workshop introduces the basic features of MATLAB. You will learn MATLAB basic commands, data structures, built-in functions, and plotting using practical examples. You will also learn how to generate scripts in MATLAB called M-files and how to access the supporting information from MATLAB supporting documentation.

R This is an researcher focused workshop.
Introduction to SAS Proc GLIMMIX

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The GLIMMIX procedure allows the researcher to perform generalized linear models analyses. These are linear models (ANOVA, regression, etc.) on data with correlated observations or non-constant variability as well as response variables which are not normally distributed.

R This is an researcher focused workshop.
Introduction to SQLite Database

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You will create a simple database and execute SQL commands and we will provide a few basic scripting interfaces which the participants will utilize and do some simple edits in the class to get output. SQLite is easy to install and does not need a dedicated server. From the SQLite website: "SQLite is a software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world. The source code for SQLite is in the public domain." Some well-known users of SQLite include Adobe, Apple, Firefox, GE, Google, McAfee, Microsoft, PHP, SKYPE, SUN, and Toshiba.

R This is an researcher focused workshop.
JMP Basics

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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.
KNIME Basics

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The free and open source KNIME software allows its users to analyze numbers, text, or images using a workflow (flowchart) style of user interface. To create a workflow, users choose from a list of icons that represent various steps in an analysis, then connect the icons with arrows that control the flow of data or models through the analysis. This approach works for simple or complex analyses without having to memorize programming statements. This workshop will show how to create a workflow to read data from a file, prepare it for analysis, analyze it using statistics or data mining methods, and then present the results.

R This is an researcher focused workshop.
Linux Command-Line Skills

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Linux is a free and open source operating system with a wide usage in science, data-center, and industrial applications. Much of the power of the system is accessed only through its command-line interface. This hands-on workshop shows you how to use a Linux OS through the Bash shell. This is a self-directed, online workshop that should be completed independently. ACCESS THE ONLINE WORKSHOP AT http://tiny.utk.edu/linux_basics. Contact the instructor when completed or if you have questions.

R This is an researcher focused workshop.
Mathematica 1 (Basics)

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Mathematica Basics is a beginner’s level introduction to using Mathematica. Topics include creating cells in notebooks, creating and editing mathematical formulas using the keyboard and palettes, basic language syntax and programming, importing and exporting text, data and graphics, creating a slide show from a notebook, and configuring notebooks with the Option Inspector.

R This is an researcher focused workshop.
Mixed Model Analysis in SPSS

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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 required.

R This is an researcher focused workshop.
NVivo11 Analysis Features

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NVivo11's classification capabilities allow researchers to add demographic data to nodes and bibliographic data to sources. Datasets allows researchers to import and work with tabular material from spreadsheets, database tables, surveys, and social media. Researchers can cross-tabulate data using matrix coding, and summarize your data using framework matrices. By the end of the workshop participants will be able to: conduct matrix coding queries, organize sets of participants, auto code qualitative responses and use classifications and attribute features within NVivo11.

R This is an researcher focused workshop.
NVivo11 Fundamentals

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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.
QDA Miner 1 (Basics)

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QDA Miner is software that helps you perform Qualitative Data Analysis of text from sources such as interviews, speeches, newspaper articles, or open-ended survey questions. This hands-on workshop will show you how to import or enter the text, search for keywords, code blocks of text, find patterns of codes, calculate inter-coder reliability, compare groups and export your findings to other packages.

To access the QDA Miner software, first download the installation instructions by going to http://oit.utk.edu/software, clicking the "Download OIT Software" button, logging in, and choosing Provalis Research.

R This is an researcher focused workshop.

Qualtrics 1 (Web Survey Design)

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In this hands-on workshop, you will 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 in Display and Skip Logic, which allows the respondent to skip questions that do not pertain to them, therefore shortening their response time. An overview of the reporting tools and how to export data as an SPSS dataset will also be presented. You may bring your own laptop if you wish.

R This is an researcher focused workshop.
Qualtrics 2 (Reporting and Analysis Tools)

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In this hands-on workshop, you learn about reporting and analysis tools in Qualtrics including creating new variables, creating and sharing reports and qualitative text analysis. You may bring your own laptop if you wish.

R This is an researcher focused workshop.
R Basics

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R Basics – 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 for 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, and several popular modeling approaches including decision trees and neural networks. We will use the popular caret package which integrates the various steps and standardizes them across many modeling methods.

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

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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.
Repeated Measures Analysis in SAS Using GLM and Mixed Procedures

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Overview of running repeated measures analyses using the traditional approaches with SAS GLM and the more general covariance structure approach with SAS MIXED. Basic knowledge of SAS is required.

R This is an researcher focused workshop.
Repeated Measures Crossover Designs in SAS

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A repeated measures crossover design expands on the idea of a regular crossover study by including additional repeated measures within each phase of the study. This allows for the researcher to address changes over time while continuing to analyze the dependent measure for treatment differences. Each patient receives a sequence of treatments in multiple phases in a similar manner to a regular crossover design but an additional time variable is included. This results in a more complex random effects structure that will be discussed. This workshop will talk about how to use SAS to analyze crossover designs with a mixed effects analysis of variance. Advantages and disadvantages of two separate equivalent approaches will be discussed.

R This is an researcher focused workshop.
SAS Data Analysis

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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 Programming Basics 1

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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 1 (Basics)

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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 2 (SPSS Data Analysis)

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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.

Using Qualitative Data Analysis Software for Literature Reviews

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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.
What's New in Qualtrics: Introducing the Qualtrics Insight Platform

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Qualtrics introduced their new Insight Platform in May 2016. This one hour presentation is designed for faculty, students and staff who are familiar with Qualtrics and will focus on the changes that have been made in the layout, panels and survey distribution. It will also provide an overview of the new features, including the new reporting interface, text analysis and data tagging. Previous experience with Qualtrics is strongly encouraged.

R This is an researcher focused workshop.
WordStat for Text Mining

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WordStat is an easy-to-use package that performs all the fundamental tasks for text mining. It automatically extracts concepts from sources such as interviews, speeches, newspaper articles, or open-ended survey questions. In this hands-on workshop, you will learn how to determine the frequency and co-occurrence of terms, phrases, and concepts; create a categorization (coding) dictionary; analyze category patterns; compare groups; and export the findings to other packages. WordStat runs as an add-on to Stata and QDA Miner, but no knowledge of those packages is assumed.

To access the WordStat and WordStat for Stata software, first download the installation instructions by going to http://oit.utk.edu/software, clicking the "Download OIT Software" button, logging in, and choosing Provalis Research.

R This is an researcher focused workshop.