Academics

Upcoming Events & Workshops

Graduate Student Fall Events and Training Sessions

Workshops for Graduate Students
 

Manage Your Citations with RefWorks

Learn how to get started with RefWorks, a citation management tool. We will show you how to collect and organize references to create your own personal research database; automatically create a formatted paper and bibliography using one of the many styles available such as APA, MLA, and Chicago; insert references from RefWorks into your paper; share your references with others and more. This workshop is open to all UMass Boston students, faculty, staff and alumni. For more details and/or to register for one of the workshops listed below, contact library.reference@umb.edu. Workshops will be held in the Center for Library Instruction (room 015) located on the 4th floor of the Healey Library.

Librarians' Office Hours: You can also schedule an appointment with a librarian. In the sign‐up form, please provide details about your assignment and what you need help with! Students can also sign up for a personalized introduction to library research resources with a librarian as needed by visiting http://umblibrary.genbook.com.

The National Science Foundation Graduate Research Fellowship Program (NSFGRFP)

This session is designed to assist graduate students in development and submission of competitive applications to the NSF Graduate Research Fellowship Program.

Students are asked to RSVP to graduate.studies@umb.edu and Laura.Hayman@umb.edu.

Individual National Research Service Awards (NIH-NRSA): Pre-doctoral Research Workshop (F31)

This workshop is designed for doctoral students and their advisors/mentors and will focus on the preparation and submission of applications to the National Institutes of Health (NIH) for pre-doctoral research training.

Presenter/Facilitator: Laura L Hayman, Associate Vice-Provost for Research and Graduate Studies and Professor of Nursing

Please register on the training portal, www.umb.edu/training, and contact Presenter Laura Hayman in advance of the workshop.

 

Graduate Writing Center Workshops
 

Located in the Campus Center,1st floor, room 1300, during the 2015 semester the Graduate Writing Center (GWC) will offer

Students can find information about other GWC workshops (those offered later in the semester) and about individual tutoring on the GWC wikispace at http://graduatewritingcenter.wikispaces.umb.edu/.

Research Workshops (Offered by the Office of the Vice Provost for Research and Graduate Studies)


Office of Research and Sponsored Programs staff and university faculty will offer a workshops focused on the Institutional Review Board process, the ethical conduct of research, animal research ethics, conducting research at UMass Boston, and funding available for graduate and PhD student research including the National Institutes of Health predoctoral research fellowship program. A complete listing of workshops offered can be found on the UMass Boston Training Portal. Please register by visiting the portal at https://www.umb.edu/training.

Using Statistical Software in Research
 

All workshops are presented by Senior Statistician Jie Chen, PhD. To register for a workshop, please do so through the UMass Boston Training Portal at www.umb.edu/training.

SPSS 1

This is a hands‐on workshop to enable students to perform useful analysis of data using SPSS for Windows. The topics covered include: entering and reading data, documenting the file with variable and value labels, examining frequency and crosstab tables for individual and group data, recoding variables, independent sample t‐test and simple linear regression. Participants will be provided extensive notes on the topics covered in the workshop, work with sample datasets and will produce examples of the graphic output available from the program.

Schedule of Workshops

SPSS 2

This workshop covers more data management and statistical procedures. Data management includes selections of cases, combining cases from two files and linking together files with different information. Statistical procedures include Chi‐square test, One‐way ANOVA, repeated measurement analysis, non‐parametric statistics, multiple regression and logistic regression.

Schedule of Workshops

SAS 1

This workshop is an introduction to the SAS system that concentrates on the SAS DATA STEP with emphasis on data input, manipulation, output and summary. The topics covered include: creating SAS working data sets and data files, importing data from SPSS and Excel files, formatting variable and value labels, and simple statistical procedures such as PROC FREQ, PROC MEANS.

Schedule of Workshops

SAS 2

This workshop covers the analysis of designed experiments with PROC ANOVA and PROC GLM and Analysis of data utilizing linear and non‐linear regression techniques in SAS with PROC REG, and PROC GENMOD. Topics include ANOVA, linear and multiple regression, regression diagnostics, and logistic regression.

Schedule of Workshops

STATA 1

STATA 1 is an integrated statistical package that provides point‐and‐click tools for you to analyze, manage, and graph data. This workshop covers both graphic user interface and intuitive command syntax approaches that enables you to learn basic Stata operation in a fast and accurate way. Also, topics include Browsing the Data, Data management, Descriptive Statistics, Independent sample test and Simple regression models.

Schedule of Workshops

STATA 2

This workshop covers more about data management such as data transforming, recoding variables, and computing new variables. It also covers the use of log and do files and more of statistical procedures such as Chi‐square test, One‐Way ANOVA, linear and multiple regression and regression diagnostics.

Schedule of Workshops

Using Excel in Statistical Analysis

This is a hands‐on workshop to show students how to perform statistical analysis using Microsoft Excel. The topics covered include: tips to improve your efficiency in using Excel for data analysis, such as entering data, data organization and descriptive statistics, examining frequency and crosstab tables, independent and paired sample t‐test, correlation and simple linear regression. Participants will be provided extensive handouts on the topics covered in the workshop, work with sample datasets and further explanations and applications.

Schedule of Workshops

An Introduction to R for Statistics

R is interactive statistics software that is specialized for probability statistics. This workshop introduces students to perform useful operation and data analysis using R. The topics include: download and install R, entering and reading data, basic operations, independent sample t‐test, Chi‐Square test, simple and multiple linear regression, One‐Way ANOVA and using R for graphs.

Schedule of Workshops

Introduction to Rstudio

This workshop introduces Rstudio, a user-friendly integrated development environment for the R language. Important R concepts such as elementary data structures, atomicity, plotting using ggplot2, functions, vectorization, 3D regression plotting and logistic regression are covered.

Schedule of Workshops

Structural Equation Modeling I

Introduction to Structural Equation Modeling. This workshop is designed as an introduction to the technique of structural equation modeling (SEM). SEM is used to test ‘complex’ relationships between observed (measured) and unobserved (latent) variables. Topics covered include: fundamentals underlining SEM and the use of SEM notation, path diagrams, data preparation and the use of software such as AMOS and Mplus.

Schedule of Workshops

Structural Equation Modeling II

This is a second workshop to introduce structure equation modeling with observed variables, model specification, parameter estimation and assessment of model fit. Amos and Mplus will be used to demonstrate examples.

Schedule of Workshops

Structural Equation Modeling III

This third workshop will cover measurement errors, latent variables, Exploratory Factor Analysis (EFA), Confirmatory Factor analysis (CFA), and developing structure equation models with estimation and model testing. 

Schedule of Workshops

Structural Equation Modeling IV

Structural Equation Modeling for Longitudinal Data. A latent growth model is introduced to model the individual change with testing of treatment effect and time dependent covariates. An example with Mplus syntax and output will be used to demonstrate the structural of the model, parameter estimation and model modification.

Schedule of Workshops

Introduction to HLM (Mixed Models) using SPSS

This workshop introduces the basic principles of multilevel/hierarchical linear models. It is designed to help attendees understand the following: the need for the appropriate models of dependencies (e.g., clustering of students within schools, etc.), how to formulate and interpret two-level multilevel models and the relevant parameters, and how to use SPSS software to estimate the models' parameters. 

Schedule of Workshops

Sample Size Estimation and Power Calculation using SAS

This workshop covers sample size determinations and power estimation for various statistical comparison and tests using PROC POWER procedure in SAS. 

Schedule of Workshops

Missing Data Analysis using SAS

This workshop covers missing data mechanisms, analysis of non-random selection bias, and practice methods of single and multiple imputations using SAS software. Missing data are very common in all types of data sets, but most statistical software packages automatically eliminate entire cases from the analysis. This approach can lead to very low sample size and biased results. 

Schedule of Workshops

Multiple Imputation in SPSS

This workshop will begin with an introduction of missing data mechanisms followed by multiple imputation (MI). The purpose of MI is not to re-create the individual missing values as 
close as possible to the true ones but to handle missing data in a way resulting in valid statistical inference. It covers how to impute missing values in SPSS, specifically MI, how to implement analyses with multiple imputed values and how to interpret of the output. 

Schedule of Workshops

Introduction to Survival Data Analysis (Event History Analysis) using SPSS

This workshop introduces statistical methods of survival analysis, that is, the analysis of studies where the outcome is a time-to-event variable.  It covers the estimation of survival time using life table and Kaplan-Meier Methods, and modeling survival risk and assessing the relationship of risk factors and survival times using the Cox regression model. A statistical package IBM SPSS Statistics will be used for data analyses. 

Schedule of Workshops

Introduction to Practical Bayesian Modeling using WinBUGS

This workshop introduces the basic ideas of Bayesian Statistics with the use of Bayes’s theorem. The Bayesian approach uses both prior and sample information for data analysis. Topics covered include prior and posterior distributions, Bayesian analysis for a binomial proportion and a normal mean and a simple linear regression model. A free statistical package WinBUGS is used for statistical analysis. 

Schedule of Workshops

Propensity Score Analysis I

Propensity Score Analysis is used in evaluating the treatment effects in observational studies when the subjects are not randomly assigned. Propensity score is the probability of treatment assignment conditional on observed baseline characteristics that is used to balance the comparison groups. This workshop covers the introduction of the concept of propensity score, the estimation of propensity scores, propensity score matching, and the Rosenbaum and Rubin model.

Schedule of Workshops

Propensity Score Analysis II

This is the second workshop in Propensity Score Analysis that covers propensity score matching and related methods including greedy matching, and optimal matching using Stata psmatch2 and R optmatch packages and post optimal matching analysis for practical examples in observational studies. 

Schedule of Workshops

Spatial Regression Using R

This workshop gives an introduction of spatial regression with examples of  using R language. Spatial data analysis tools from R packages such as maptools and spdep will be examined. The topics to be covered are: spatial data visualization in R, spatial autocorrelation, statistics for spatial dependence, spatial weights and spatial regression models. 

Schedule of Workshops

Institutional Review Board (IRB) and Human Subjects Research Ethics

This workshop will explain how to apply to the IRB, the regulations developed by the U.S. government and how these apply to UMass Boston. There will be time for questions and answers. To register for a workshop, please do so through the UMass Boston Training Portal at www.umb.edu/training.

Institutional Animal Care and Use Committee (IACUC) and Animal Research Ethics

This workshop will explain how to apply to the IACUC, the regulations developed by the U.S. government and how these apply to UMass Boston. There will be time for questions and answers. To register for a workshop, please do so through the UMass Boston Training Portal at www.umb.edu/training.

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