Statistics and Research Workshop Series
View Recordings of Previous Sessions
| Date/Time | Session Title | Description | Links |
|---|---|---|---|
| January 28, 2026 1:00 - 3:00 | Qualtrics 1 | Qualtrics is an online survey design tool and a data collection tool available to ECU faculty, staff, and students. This workshop will guide you through the process of building a survey project using an example survey. We will learn how to create blocks, survey questions with different response options, edit survey questions, add display and skip logic, add a page break, and customize end of survey message. Facilitated by Hui Bian | Qualtrics 1 - Session Recording |
| February 4, 2026 1:00 - 3:00 | Qualtrics 2 | This is a continuous workshop after Qualtrics 1. We will learn how to format a survey, edit messages, create an email trigger, create an outlook calendar invite, create quotas, create a contact list and distribute a survey through Qualtrics, and download a dataset and understand the coding in the data. Facilitated by Hui Bian | Qualtrics 2 - Session Recording |
| February 10, 2026 11:30 - 1:30 | Randomized Controlled Trials (RCT) For the Love of Data Week Event | This workshop is part of the “Love Data Week” event sponsored by Laupus Library. RCTs are the research design used in studying treatment effects in clinical research. The workshop will focus on intervention research, how to design an RCT study, how to randomly assign participants to two groups using R, and how to analyze RCT data. One sample paper will be discussed during the workshop. Facilitated by Hui Bian | |
| February 19, 2026 1:00 - 3:00 | Nonparametric Tests | This workshop will explore when to use nonparametric tests and the differences between parametric and nonparametric tests. We will conduct some data analyses to test two or more samples, including the Wilcoxon signed-rank test, the Mann-Whitney U test, and the Kruskal-Wallis H test. The presentations will use SPSS and R software. Facilitated by Hui Bian | Register for Nonparametric Tests Join Nonparametric Tests |
| February 26, 2026 1:00 - 3:00 | Using Python in Statistics | This workshop for people who don’t know much about Python. We will use Spyder in Anaconda to do programming. Spyder is an integrated development environment for Python (IDE). We will learn the interface of Spyder, how to read external data files into Spyder, data management (select cases and recode variables), how to get plots, and how to analyze data including Chi-square test, correlation analysis, t test, ANOVA, and linear regression analysis. Facilitated by Hui Bian | Register for Using Python in Statistics Join Using Python in Statistics |
| March 4, 2026 1:00 - 3:00 | Data Structure and Measurement Type | Understanding data structures and measurement types is very important in research. It aids not only in data analysis, but also in survey design. This workshop helps you understand basic concepts about data. It focuses on how to create a dataset, data layout or structure, variables in the data, variable types, variable coding, and measurement types. SPSS will be used for the demonstration. Facilitated by Hui Bian | Register for Data Structure and Measurement Type Join Data Structure and Measurement Type |
| March 5, 2026 12:00 - 1:00 | Systematic Reviews: Choosing which Review is Right for You, and Drafting a Protocol | Attendees will leave this class with an understanding of the differences between systematic and scoping reviews. Resources will include a template to start a protocol for a review and information on the general methodology and steps for evidence synthesis projects. This session will also include a brief introduction to the Systematic Review Service at Laupus HS Library and what a librarian can do for you to assist with the research process. Facilitated by Jamie Bloss | Register for Systematic Reviews: Choosing which Review is Right for You Join Systematic Reviews: Choosing which Review is Right for You |
| March 19, 2026 1:00 - 3:00 | R Introduction | R is a free, open source, and code driven statistical package. This workshop is designed for people who are new to using R. Using RStudio, we will learn about the RStudio interface, and R functions as well, how to create a R script file, set up a working directory, import different types of data files to R, merge dataset, reconstruct a dataset, recode variables, and generate descriptive statistics. Facilitated by Hui Bian | Register for R Introduction Join R Introduction |
| March 25, 2026 1:00 - 3:00 | Generalized Linear Model: Link Function and Distributions | This workshop will cover the distributions of different types of outcome variables, including the normal distribution for continuous variables, the binomial distribution for binary outcome variables, and the Poisson distribution for count variables. Regarding link functions, we will discuss the identity link function for the normal distribution, the logit link function for the binomial distribution, and the logarithmic link function for the Poisson distribution. In terms of data analysis, we will focus on logistic regression, Poisson regression, and negative binomial regression. Data analysis demonstrations will be conducted using R and SPSS software. Facilitated by Hui Bian | Register for Generalized Linear Model: Link Function and Distributions Join Generalized Linear Model: Link Function and Distributions |
| March 26, 2026 12:00 - 1:00 | Systematic Reviews: Risk of Bias (RoB) Assessment | Are you conducting a systematic review or going to be? This class will cover the differences between risk of bias (RoB) assessment and critical appraisal. After the class you will be able to summarize the methodology for risk of bias in systematic reviews. This class provides information and resources on how to conduct this process in an evidence synthesis. Facilitated by Jamie Bloss | Register for Systematic Reviews: Risk of Bias (RoB) Assessment Join Systematic Reviews: Risk of Bias (RoB) Assessment |
| March 31, 2026 1:00 - 3:00 | SPSS Introduction | SPSS is a menu-driven statistical package for the social sciences. This workshop is for people just getting started with SPSS. It will cover SPSS from the very beginning, including: (1) introduction of the SPSS interface and data layout; (2) types of measurement; (3) how to enter data in SPSS and import external data (including Excel data and CSV data) into SPSS; (4) variable coding; (5) how to code, recode, and compute variables; (6) how to merge two data files. Facilitated by Hui Bian | Register for SPSS Introduction Join SPSS Introduction |
| April 2, 2026 12:00 - 1:00 | Systematic Reviews: Data Extraction | Are you conducting a systematic review or going to be? Learn best practices for evidence synthesis data extraction. This class provides information and resources on how to plan, create your extraction form, and pilot it, for an evidence synthesis project. Facilitated by Jamie Bloss | Register for Systematic Reviews: Data Extraction Join Systematic Reviews: Data Extraction |
| April 9, 2026 1:00 - 3:00 | SAS Using an Online Source | This workshop will utilize SAS OnDemand for Academics, a free online service provided by SAS. This introductory workshop will teach SAS from scratch. SAS is code-driven software, so we will write code together during the workshop. Through this course, you will learn the SAS interface; how to import different types of data into SAS; how to create SAS libraries; how to code, recode, and calculate variables; how to format variables; and how to get descriptive statistics. Facilitated by Hui Bian | Register for SAS Using an Online Source Join SAS Using an Online Source |
| April 15, 2026 1:00 - 3:00 | Logic Regression | Logistic regression is a statistical technique used to predict a binary outcome. It is an extension of linear regression. The main goal of logistic regression is to model the relationship between the independent variables (predictors) and the probability of the binary outcome. The workshop will address logistic regression analysis using SPSS and R. Facilitated by Hui Bian | Register for Logic Regression Join Logic Regression |
Fall 2025 |
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| September 4, 2025 12:00 - 1:00 | Systematic Reviews: Choosing which Review is Right for You, and Drafting a Protocol | Attendees will leave this class with an understanding of the differences between systematic and scoping reviews. Resources will include a template to start a protocol for a review and information on the general methodology and steps for evidence synthesis projects. This session will also include a brief introduction to the Systematic Review Service at Laupus HS Library and what a librarian can do for you to assist with the research process. Facilitated by Jamie Bloss | Systematic Reviews: Choosing which Review is Right for You - Session Recording |
| September 10, 2025 1:00 - 3:00 | R Intro | R is a free and open-source software package for computing and statistical analysis. It has tons of packages dealing with advanced and complex analysis, specifically for different fields. Due to its flexibility in coding, R is now one of the most popular programs among statisticians and other researchers. This workshop will cover the basics of R package and programming as well as data description and statistical analysis, including correlation, regression, t-test, ANOVA, and two-way tables with Chi-square test. Facilitated by Hui Bian | R Intro - Session Recording |
| September 10, 2025 2:00 - 3:00 | Andrew Carnegie Fellows Program Application Information Session | This session will provide information about how interested faculty can apply to be considered in a limited submission process for the Andrews Carnegie Fellows Program. This program supports scholarship and research in the social sciences and humanities that address important and enduring issues confronting our society. The 2026 call for applications invites proposals that focus on research that can help Americans understand how and why our society has become so polarized and what can be done to strengthen social cohesion. | Andrew Carnegie Fellows Program Application Information Session - Session Recording |
| September 11, 2025 12:00 - 1:00 | Systematic Reviews: Data Extraction | Are you conducting a systematic review or going to be? Learn best practices for evidence synthesis data extraction. This class provides information and resources on how to plan, create your extraction form, and pilot it, for an evidence synthesis project. Facilitated by Jamie Bloss | Systematic Reviews: Data Extraction - Session Recording |
| September 17, 2025 1:00 - 3:00 | Randomized Controlled Trials (RCTs) | RCTs are the research design used in studying treatment effects in clinical research. The workshop will focus on intervention research, how to design an RCT study, how to randomly assign participants to two groups using R, and how to analyze RCT data. One sample paper will be discussed during the workshop. Facilitated by Hui Bian | Randomized Controlled Trials (RCTs) - Session Recording |
| September 18, 2025 12:00 - 1:00 | Systematic Reviews: Risk of Bias (RoB) Assessment | Are you conducting a systematic review or going to be? This class will cover the differences between risk of bias (RoB) assessment and critical appraisal. After the class you will be able to summarize the methodology for risk of bias in systematic reviews. This class provides information and resources on how to conduct this process in an evidence synthesis. Facilitated by Jamie Bloss | Systematic Reviews: Risk of Bias (RoB) Assessment - Session Recording |
| October 30, 2025 1:00 - 2:00 | SPSS 1 | This workshop is for people just getting started with SPSS. It will cover SPSS from the very beginning, including: (1) introduction of the SPSS interface and data layout; (2) SPSS syntax; (3) types of measurement; (4) how to enter data in SPSS and import external data (including Excel data and CSV data) into SPSS. Facilitated by Hui Bian | SPSS 1 - Session Recording |
| November 6, 2025 1:00 - 2:00 | SPSS 2 | This workshop will cover variable coding, including how to code, recode, and compute variables, how to select cases, and how to use syntax to code variables. Facilitated by Hui Bian | SPSS 2 - Session Recording |
| November 13, 2025 1:00 - 2:00 | SPSS 3 | This workshop will cover how to merge two data files, how to reconstruct data layout, how to run descriptive statistics, and how to interpret results. Facilitated by Hui Bian | SPSS 3 - Session Recording |
| November 20, 2025 1:00 - 2:00 | SPSS 4 | This workshop will cover how to run T test, ANOVA, and Chi-square tests, and how to interpret results. Facilitated by Hui Bian | SPSS 4 - Session Recording |
| November 25, 2025 1:00 - 3:00 | Multiple Linear Regression | This workshop serves as a basic introduction to multiple linear regression. We will cover the underlying statistical assumptions, what happens when they are violated and ways to address those violations, interpreting regression coefficients, and model fit. We’ll do a demonstration through SPSS and R. Facilitated by Hui Bian | Multiple Linear Regression - Session Recording |
| December 4, 2025 1:00 - 3:00 | Factor Analysis | The workshop will focus on exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). In multivariate statistics, EFA is used to explore the underlying structure of a set of measured variables. CFA is used to test how well the measured variables confirm the underlying structures of constructs. Examples of EFA and CFA will be illustrated using SPSS and R. Facilitated by Hui Bian | Factor Analysis - Session Recording |
Individuals requesting accommodation under the Americans with Disabilities Act (ADA) should contact ECU’s ADA coordinator at least 48 hours prior to the event at 252-737-1018 or ada-coordinator@ecu.edu.
Link to archived Statistics and Research Workshops
Note: Research/statistics consulting is available at regular hours (8am-5pm, M-F). All workshops and consultations are open to graduate students as well.