Fall 2013 Tutorials
Information Technology Services
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 (firstname.lastname@example.org). We will also give customized tutorials, and we are available for advanced topics and consulting.
The tutorials are available to all members of the BC community. There is no cost for the tutorials.
To register, please go to our on-line tutorial registration page at: capricorn.bc.edu/tutorials. You will be asked to sign in using your BC username and password to register. You can also use this web page to change the tutorials you signed up for. You can also register by sending mail to email@example.com with the names of the tutorials that you are interested in attending.
The Fall 2013 Tutorials are:
|Introduction to R||Sep 17 12:00 - 1:30||O'Neil 245|
|Introduction to BC's Linux Clusters||Sep 18 12:00 - 1:30||O'Neil 245|
|Creating Web-based Surveys with Qualtrics||Sep 24 12:00 - 1:30||O'Neil 245|
|Microsoft Access||Sep 26 10:30 - 11:30||O'Neil 245|
|Stata 1: Descriptive Analysis||Sep 30 12:00- 1:30||O'Neil 245|
|MATLAB 1: Fundamentals||Oct 2 1:30 - 3:00||O'Neil 245|
|Stata 2: Regression Analysis||Oct 3 12:00 - 1:30||O'Neil 245|
|MATLAB 2: Matrices||Oct 4 2:00 - 3:30||O'Neil 245|
|Stata 3: Panel Data Analysis Using Stata||Oct 4 12:00 - 1:30||O'Neil 245|
|Introduction to SAS||Oct 8 12:00 - 1:30||O'Neil 245|
|MATLAB 3: Graphs and Visualization||Oct 9 1:30 - 3:00||O'Neil 245|
|Data analysis with ArcGIS||Oct 17 2:00 - 3:30||O'Neil 245|
|Introduction to Qualitative Analysis||Oct 22 12:00 - 1:30||O'Neil 245|
|Taking Care of your Data for the Social Sciences||Oct 22 1:00 - 2:30||O'Neill 307|
|Taking Care of your Data for the Sciences||Oct 22 4:00 - 5:30||O'Neill 307|
|Introduction to Mixed Modeling||Nov 5 12:00 - 1:30||O'Neil 245|
|Introduction to GaussView and Gaussian||Nov 6 12:00 - 1:30||O'Neil 245|
Qualtrics offers a way to create complex surveys without complicated programming. It offers survey design functionality that is more extensive than that offered by Survey Monkey. Qualtrics offers an extensive library of surveys and a number of options for encryption. Working within pre-defined templates, you can use several different types of questions, including text, multiple checkboxes, sliders, single-answer radio buttons, Likert scales. Qualtrics also offers extensive branching functionality. Once the survey is completed, data can be downloaded into a format that can be used with Excel, SPSS, or other analysis programs.This tutorial will also include a section on research protections and informed consent with respect to online survey development, distribution, and analysis. BC's School of Arts & Sciences (contact firstname.lastname@example.org), CSON (please register for free account at qualtrics.com if you do not have one – we will move it to CSON if necessary), CSOM (contact email@example.com) , GSSW (contact firstname.lastname@example.org), and LSOE (contact email@example.com) have purchased annual Qualtrics licenses that are available for use by faculty, staff, and students in those schools. People not in these schools are also welcome to attend this tutorial. Those community members not in A&S, CSON, CSOM, GSSW or LSOE may register for a limited free Qualtrics account at qualtrics.com. They may also obtain free access to Qualtrics online tutorials and help articles. It is recommended that you contact your school (A&S, CSON, CSOM, GSSW or LSOE) or firstname.lastname@example.org to obtain a Qualtrics account prior to the tutorial.
September 24, 2013 12:00 - 1:30 pm, O’Neill 245
Geographic Information Systems (GIS) are used for visualizing, managing, creating, and analyzing geographic data. Such applications are widely used in academia, private industry and government agencies. ArcGIS Desktop software is an integrated suite of advanced GIS applications and interfaces, used to perform various GIS tasks, from simple to advanced, including: mapping, geographic analysis, geostatistics, data editing, compilation, management and visualization. ArcGIS Desktop is scalable to meet the needs of many types of users.
This session will introduce users to: 1) ArcGIS software, data and technical support at Boston College; 2) License options; 3) Main ArcGIS features and capabilities (ArcMap, ArcCatalog, ArcTool, ArcGlobe); 4) Demos using Census and Environmental data; 5) ArcGIS Online. Options to get data and training will be also discussed. No prior knowledge of ArcGIS is required.
October 17, 2013 2:00 - 3:30 pm O’Neill 245
GaussView is a graphical user interface designed to be used with Gaussian to make calculation preparation and output analysis easier, quicker and more efficient. Gaussian is a popular and widely used electronic structure programs and computational chemistry package. This tutorial will cover:
- Overview of computational chemistry application in BC
- Basic Linux Cluster knowledge
- History of Gaussian and Gaussian View
- Gaussian View and Gaussian Capabilities
- How to access and use Gaussian View at BC clusters
- Input file preparation and keyword specification for Gaussian
- Running Gaussian 09 on the clusters
November 6, 2013 12:00 - 1:30 pm O'Neil 245
This tutorial is intended to be an introduction to the Linux cluster at Boston College. An overview, the primary components, philosophy, how to connect and apply BC’s Linux cluster will be presented. Currently we have two clusters (Scorpio and Pleiades) available. This hands-on tutorial covers the following topics:
- Overview of the two Linux cluster system at Boston College
- The hardware/software architecture
- How to access BC’s clusters
- Basic Linux
- PBS queuing system common commands
- How to submit jobs to clusters
September 18, 2013 12:00 - 1:30 pm O'Neil 245
Mixed modeling, also known as multi-level modeling or sometime hierarchical linear modeling, is an essential tool in many research areas. In biomedical research most designs are longitudinal, in social sciences there are often clusters of data such as students within classrooms within schools. Many familiar methods such as ANOVA or regression assume that all observations are recorded independently. Having clusters of correlated data violates this assumption and makes these methods invalid. Mixed Modeling is an extension of regression that allows us to correctly model correlated data. This tutorial is designed to give an introduction to linear mixed modeling. We will focus on situations and designs where these methods are required, the dangers of using the wrong methods, and interpretation of the results that are standard across most statistical software packages.
November 5, 2013 12:00 - 1:30 pm O’Neill 245
Each of these software products has strengths and weaknesses when used for coding and analyzing qualitative data. However they can all be used, with planning and rigorous qualitative research methodologies, to eliminate the problems of managing large amounts of qualitative data. They can all be used to code and re-code qualitative data, keep an audit trail of the analysis process, and to support both individual researchers and research teams in thinking about coding and analysis issues. Depending on the participants specific research interests we can also discuss individual coding questions or arrange for follow up consultations.
October 22, 2013 12:00 - 1:30 pm O’Neill 245
R is widely used free statistical software. To take advantage of R’s flexible output and graphics, packages are actively being developed to that interface R with other programs such as M-plus. The rapid growth of R means that knowledge of this software will be essential to researchers doing complex statistical analysis. This tutorial will explain how to download and install R (it’s free!!), learn basic operations. We will focus on a couple concrete examples so that attendees will get familiar with the R environment.
September 17, 2013 12:00 - 1:30 pm O’Neill 245
This tutorial will focus on the SAS environment, writing and submitting sample programs, and debugging code. We will perform some simple analysis examples. A advantage to SAS is that there extensive help and tutorials available online. We show attendees how to find this information so that they may continue their SAS education.
October 8, 2013 12:00 -1:30 pm O’Neill 245
MATLAB fundamentals and the following seminars provide a working introduction to the MATLAB technical computing environment. MATLAB can be used with all aspects of Mathematical computation, analysis, visualization, and algorithm development. This workshop is intended for beginning and intermediate users. No prior knowledge of MATLAB is required. Themes of vector and matrix data analysis, graphical visualization, data modeling, and MATLAB programming are explored by example.
This MATLAB workshop will present:
- MATLAB Help
- MATLAB on Linux Cluster
- Interactive Session
- Editing Script Files
- Flow Control
- Scripts and Functions
- Read and Write Excel and Text Files
October 2, 2013 1:30 -3:00 pm O’Neill 245
Matrices are fundamental to MATLAB, and familiarity with matrix generation and manipulation is important in many applications. The most basic MATLAB data structure is the matrix: a two-dimensional, rectangular shaped data structure capable of storing multiple elements of data in an easily accessible format. The operations in MATLAB are designed to be as natural as possible and MATLAB allows you to work with entire matrices quickly and easily.
This workshop will discuss:
- Matrix Generation
- Subscripting and the Colon Notation
- Matrix and Array Operations
- Matrix Manipulation
- Data Analysis
October 4, 2013 2:00 - 3:30 pm O’Neill 245
The MATLAB environment provides a wide variety of techniques to display data graphically. Interactive tools enable you to manipulate graphs to achieve results that reveal the most relevant information about your data. You can also annotate and print graphs for presentations, or export graphs to standard graphics formats. In this workshop we cover the main MATLAB functions for two- and three-dimensional graphics.
- Two-Dimensional Graphics
- Basic Plots
- Axes and Annotation
- Multiple Plots in a Figure
- Three-Dimensional Graphics
- Specialized Graphs for Displaying Data
- Saving and Printing Figures
Examples presented (m files) can be easily modified and applied to your specific experimental or model data.
October 9, 2013 1:30 - 3:00 pm O’Neill 245
Microsoft Access 2010 is an information management tool that helps you store information, analyze data, and create reports. Access 2010 is combined with Microsoft Office 2010. This tutorial will help you get started with Access. This tutorial will introduce the fundamental of the Access including, creating database, tables, fields, and how to enter and save data, create reports and so on.
September 26, 2013 10:30 - 11:30 am O'Neill 245
Stata is a powerful, yet easy to use statistical package. This hands-on tutorial is designed as an introduction for beginning users who are just getting started using Stata. The emphasis in this tutorial is on exploring the data, cleaning the data for research purposes, using graphs, employing descriptive statistics and running simple regressions.
The following topics will be covered:
- Getting started: open data files, use variable manager.
- Exploring the data: check variables, use labels and filters, describe data.
- Modifying the data: create new variables, recode data, examine and impute missing values.
- Working with datasets: append and merge datasets.
- Producing output: log-files, label book, codebook, graphs, and simple regressions.
September 30, 2013 12 :00- 1:30 pm O’Neill 245
This hands-on tutorial is designed for novice users who are familiar with the basics of Stata. The emphasis in this tutorial is on linear regressions and the basics of analysis with discrete data, where categorical variables are regressors or the dependent variable. Basic programming concepts are introduced. A basic knowledge of the software Stata is required; those who are new to Stata are strongly encouraged to attend the Stata 1 tutorial first.
The following topics will be covered:
- Linear regression: OLS, significance tests, post-estimation analysis.
- Categorical variables: factor variables, interactions and interpretation.
- Categorical outcomes: logit and probit models, multinomial and ordered logit, interpretation.
- Programming skills: creating and using do-files; documenting work to ensure reproducibility.
October 3, 2013 12:00 - 1:30 pm O’Neill 245
This hands-on tutorial is designed as an introduction for beginning users who have a basic understanding of the Stata environment and some statistical experience with conducting regression analysis. This tutorial will introduce some of the techniques developed for use with longitudinal data and repeated measurements. A basic knowledge of the software Stata is required; those who are new to Stata are strongly encouraged to attend the Stata 1 tutorial first.
The following topics will be covered:
- Pooling Regression
- Omitted Variable Bias
- First-Difference Model
- Fixed Effects
- Random Effects
October 4, 2013 12:00 - 1:30 pm O’Neill 245
The Libraries and Research Services will provide a critical overview of “best practices” for research data management, including development of “data management plans”. Funders and journal publishers are increasingly requiring submission of these plans incorporating all of these practices, along with placing greater emphasis on sharing and long-term preservation of research data. You’ll learn how to safe-guard your data through recommended practices for naming, file format choice, file organization, storage, backup and documentation, as well as information about valuable university data analysis and support services. You’ll learn about options for long-term archiving of your data and data sharing, including discovery of quality social sciences data repositories and creation of metadata to enhance discovery of that data. You’ll also learn how to cite your data/data sets, further enhancing the discoverability and impact of your work.
October 22, 2013 1:00 – 2:30 pm O’Neill 307
The Libraries and Research Services will provide a critical overview of “best practices” for research data management, including development of “data management plans”. Funders and journal publishers are increasingly requiring submission of these plans incorporating all of these practices, along with placing greater emphasis on sharing and long-term preservation of research data. You’ll learn how to safe-guard your data through recommended practices for naming, file format choice, file organization, storage, backup and documentation, as well as information about valuable university data analysis and support services. You’ll learn about options for long-term archiving of your data and data sharing, including discovery of quality data repositories in the various scientific disciplines and creation of metadata to enhance discovery of that data. You’ll also learn how to cite your data/data sets, further enhancing the discoverability and impact of your work.
October 22, 2013 4:00 – 5:30 pm O’Neill 307