Upcoming ARL Research Week Workshops

Posted on 3/20/2017 1:01:27 PM

The Applied Research Lab will offer a series of workshops during Research Appreciation Week 2017 (April 3–7). These workshops were designed with graduate students in mind and are introductory in nature. The workshops are meant to help increase familiarity with various types of research software available to students here at Indiana University of Pennsylvania.

A workshop registration link will be distributed to graduate students via e-mail. Space is limited, and registration will be on a first-come, first-served basis.

Introduction to R
Monday, April 3, 4:00–6:00 p.m. in Stabley 201

R is a free, open-source, and powerful programmed-based statistical package that has increased in popularity in recent years. The purpose of this workshop is to provide a basic conceptual overview of R and to familiarize users with some rudimentary functions of the program such as importing data, creating variables and data frames, and producing measures of central tendency and dispersion. We will also demonstrate how to visualize data through various packages available in R. The workshop is intended for individuals with no experience using R or other programming software. Attendees will have the opportunity to work hands-on with a dummy dataset. Presented by Derek Hanely, Jaeyong Choi, and Paul Hawkins of the Applied Research Lab.

Introduction to SPSS
Tuesday, April 4, 4:00–6:00 p.m. in Stabley 201

IBM’s Statistical Package for the Social Sciences 24 is a program that can be used to store and analyze data. It is available to all IUP students and faculty. This workshop will provide a basic overview of the SPSS interface and data entry process. This will include a review of the layout of SPSS (e.g., data view vs. variable view), the functions of numerous menus and icons, and the workspace (e.g., data editor, syntax editor, and output viewer). Emphasis will be placed on the best practices for setting up your dataset, creating variables, and manipulating data to ensure organization and efficiency during the course of a research project. A brief introduction to performing preliminary analysis (e.g., descriptive statistics and visualization via graphs) and working with syntax will also be provided. Participants will be actively engaged in the software’s interface to help facilitate understanding of the material. This workshop is designed primarily for individuals who have little or no exposure to SPSS. Presented by Chris Metzger and Paul Hawkins of the Applied Research Lab.

Introduction to NVivo
Thursday, April 6, 4:00–6:00 p.m. in Stabley 201

NVivo 11 is software used to assist in the management, organization, and analysis of semi-structured or unstructured data. Examples of these types of data include historical documents, memos, transcripts from interviews and focus groups, and audio/video files. NVivo is available to all faculty and students at IUP. In this workshop, we will introduce users to the NVivo interface and review key functions such as creating a project, importing data, developing a coding system, and performing basic analyses. Participants will have the opportunity to work hands-on with the preliminary analysis of a semi-structured data source. This workshop is intended for those who have no prior knowledge or experience using NVivo. Presented by Mallory Smith and Paul Hawkins of the Applied Research Lab.

Introduction to Qualtrics
Friday, April 7, 1:00–3:00 p.m. in Stabley 201

The Qualtrics survey platform is the most extensively used customer experience software in the world. It is available to all IUP employees and students. It can be used to generate analyzable data through the administration of online surveys and questionnaires. In this interactive workshop, we will introduce the major components of Qualtrics, including how to create a project, generate and customize survey questions, create a panel of e-mail addresses, and analyze and export data. This workshop is intended to give participants a basic introduction to the process of creating and executing surveys and subsequently analyzing data using Qualtrics. Presented by Larissa Bray and Paul Hawkins of the Applied Research Lab.