Research Services offers tutorials and workshops on a variety of topics. Each semester, we present a series of tutorials. If you have suggestions, please contact us (researchservices@bc.edu). We will also give customized tutorials, and we are available for advanced topics and consulting. 

Fall 2022 Tutorial Descriptions

Introduction to Regression

As the most common methodology in statistical analysis regression is an important tool for any modern researcher. This course is intended as an introduction to standard or linear regression. We will focus on estimation methods, identifying and validating model assumptions. We will also focus on hypothesis testing for regression estimates and statistical model building. We will use R software but the goal of the course is to learn concepts and is not intended as a tutorial for any specific software. Note:  The mixed modeling course is a natural sequel to Introduction to Regression.

Presented by Matt Gregas.

 

Thursday, September 15, 2022  11am–12:30pm  Zoom*

* We will email you the Zoom link the day before the tutorial.

Linear Mixed Effects Modeling

This tutorial is a brief introduction to linear mixed effects (LME) modeling, also known as multilevel modeling or hierarchical linear modeling. LME models are essential for researchers handling either longitudinal (repeated measures) data or data that is 'clustered' (e.g., students nested within classrooms, and classrooms nested within schools). Many familiar methods such as ANOVA or regression assume that all observations are recorded independently; Clustered data and data with repeated measures violate this assumption. LME modeling is an extension of regression that accounts for the correlated data structure inherent in repeated-measures and clustered designs. In this tutorial, we introduce the model, discuss when and why this method should be used, and how to interpret results in common statistical programs. This tutorial is appropriate for anyone with a background in linear regression. Those wanting a refresher may consider attending the Research Services tutorial on regression.

Presented by Melissa McTernan.

 

Thursday, September 15, 2022  1-2:30 pm  Zoom*

* We will email you the Zoom link the day before the tutorial.

Introduction to Machine Learning

Machine learning is a data analysis method of getting computers to act without being explicitly programmed. It is based on the algorithms that use statistics to build models and find patterns in massive amounts of data. Machine Learning is extensively used in a wide variety of applications and changing our day-to-day life.

 

Friday, September 16, 2022  11am-12pm  Zoom*

* We will email you the Zoom link the day before the tutorial.

Introduction to BC’s Linux Cluster

This tutorial is intended to be an introduction to the Linux cluster at Boston College.Currently, the user can access two clusters (Sirius and Andromeda). An overview, the primary components, and examples of how to use BC’s Linux cluster. This hands-on tutorial will cover:

  • Overview of the two Linux cluster system at Boston College
  • The hardware architecture
  • Management of Linux Cluster
  • How to remote access of the cluster
  • Common Unix/Linux commands
  • How to use software modules and PBS queuing system
  • How to submit jobs to clusters
     

Presented by Wei Qiu.

 

Friday, September 16, 2022  12–1:30pm  Zoom*

* We will email you the Zoom link the day before the tutorial.

Introduction to REDCap (Research Electronic Data Capture)

This tutorial is geared towards Boston College Principal Investigators, researchers and research project team managers. REDCap stands for Research Electronic Data Capture. REDCap is a web based, data collection, database management system that was originally developed at Vanderbilt University, initially for medical research. REDCap is now overseen by a consortium of academic research partners in the United States and throughout the world. Boston College is part of the REDCap consortium.

In this introduction to REDCap we will discuss:

  • How to request a REDCap project at Boston College
  • How to make sure that your REDCap project complies with the mandates of your project's IRB approval
  • How to create basic data collection forms
  • An introduction to best practices for setting up your REDCap project
  • We will discuss additional REDCap functionality including offline survey capabilities, text to voice capability, potential for using twilio.com SMS services (for an additional fee), improved field calculations, repeating forms and more
  • How to enter data into REDCap
  • How to control REDCap user access rights
  • How to export your data
     

Research Services staff are available to meet with members of the Boston College community to discuss individual REDCap projects. Individual consultations or customized class consultations are available by emailing researchservices@bc.edu or dalgin@bc.edu.

If possible, prior to the tutorial, please fill out the BC REDCap Terms of Use survey described on this google doc and indicate that you will be attending the REDCap Tutorial.

Presented by Rani Dalgin.

Thursday, September 29, 2022  3-4:30pm 
Zoom link*: https://bccte.zoom.us/j/95925423565

* We will email you a reminder the day before the tutorial.

Creating Web-Based Surveys with Qualtrics

Qualtrics offers a fairly intuitive graphical user interface to create complex surveys without complicated programming or coding. Qualtrics offers extensive documentation, free online tutorials, an extensive library of surveys and options for encryption and anonymity, and excellent customer support. Qualtrics also offers built in social media sharing functions and an accessibility checker. Working within pre-defined templates, you can use many different types of questions, including text, multiple checkboxes, sliders, single-answer radio buttons, and Likert scales. Qualtrics offers extensive branching functionality.

Once the survey is completed, data can be downloaded into a format that can be used with a variety of quantitative and qualitative analysis programs. Qualtrics also offers foreign language functionality.

This tutorial will demonstrate how to create a survey in Qualtrics and also include a section on research protections and informed consent with respect to online survey development, distribution, and analysis. Boston College faculty, students, researchers, and administrative staff may create their own Qualtrics accounts in advance of the tutorial by logging on logging on at bostoncollege.qualtrics.com (with your BC credentials).

If possible, please complete this short BC Qualtrics Terms of Use Survey before attending the tutorial.

Research Services staff are available to meet with members of the Boston College community to discuss individual Qualtrics projects.

Individual consultations or customized class consultations are available by emailing researchservices@bc.edu or dalgin@bc.edu.

Presented by Rani Dalgin.

Wednesday, October 5, 2022  3-4:30pm  
Zoom link*: https://bccte.zoom.us/j/96438453482  

* We will email you a reminder the day before the tutorial.

Meet With the Qualtrics XM Insights Team

This presentation is geared toward faculty and other researchers in the BC community who are interested in using Qualtrics for academic research. 

Representatives from the Qualtrics XM insight team, hosted by Rani Dalgin, Lead BC Qualtrics Academic Administrator, will present recent updates to the Qualtrics platform, research best practices, updated Qualtrics features and navigation, panel Recruitment capabilities, and examples. This will be an opportunity to ask questions directly to the people at Qualtrics who are responsible for supporting Qualtrics in our university environment.

Please contact Rani Dalgin at dalgin@bc.edu if you have any questions about this presentation. Because of limited room capacity, please sign up through the online registration process.

Snacks will be served.

 

Wednesday, October 12, 2022  3 - 4:30pm

O’Neill Library, Room 307