Summer Research and Statistics Workshops
During May and June, the annual Research and Statistics Workshops will be conducted through WebEx meetings. You can view the schedule and join sessions using the links below. For additional details or questions, please contact Dr. Hui Bian at bianh@ecu.edu.
View 2024 Summer Workshop Recordings
All workshops are virtual via Webex and can be accessed with the same link: https://ecu.webex.com/meet/bianh. If you have any questions, please contact bianh@ecu.edu.
2025 Workshop Topics:
| Date/Time | Session Title | Description / Facilitator | Links |
|---|---|---|---|
| May 20, 2025 9:00 - 11:00 | SPSS Intro | 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. Workshop conducted by Dr. Hui Bian. | Register Here Join Here |
| May 20, 2025 1:00 - 3:00 | JMP Intro | JMP is a point-and-click based program for statistical analysis developed by SAS. The purpose of this workshop is to provide a hands-on demonstration of the software. Topics will include data manipulation, graphical and numerical data description, and preliminary statistical analysis such as correlation, regression, t-test, ANOVA and Chi-square test. Workshop conducted by Dr. Xiangming Fang. | Register Here Join Here |
| May 21, 2025 9:00 - 11:00 | Power BI Intro | Power BI is a business analytics tool that helps users visualize and analyze data to make data-driven decisions. In this workshop, we will walk you through the key features of Power BI, including connecting to data sources, transforming data, and creating interactive reports and dashboards. We will also share useful tips and tricks to enhance your own dashboard-building skills. Workshop conducted by Mrs. Sarah Manley. | Register Here Join Here |
| May 21, 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. Workshop conducted by Dr. Alex Schoemann. | Register Here Join Here |
| May 22, 2025 9:00 - 11:00 | Mplus Intro | This 2-hour workshop will walk through Mplus syntax and output for those who have not used Mplus before or want to build more comfort with using Mplus for configural factor analysis (CFA) and structural equation models (SEM). This session will not go over all the modeling steps of CFA and SEM (see Dr. Alex Schoemann’s session Week 2 for the steps); it will go through the syntax for estimating different parameters (factor loadings, residuals, means, correlations, regression coefficients) and constraining parameters (to each other across groups or to a specific value). Workshop conducted by Dr. Whitney Moore. | Register Here Join Here |
| May 22, 2025 1:00 - 3:00 | Qualtrics Intro | Qualtrics is an online survey tool available to faculty, staff, and students. This workshop will guide you through the process of building a survey project. We will learn how to create new items, customize response options, add display and skip logic, and distribute a survey. Workshop conducted by Dr. Hui Bian. | Register Here Join Here |
| May 27, 2025 9:00 - 12:00 | Descriptive Statistics | In this 3-hour workshop we will cover descriptive statistical approaches, including graphical as well as numerical description. We will include testing for normality as well as a foundational step in describing one’s data. IBM SPSS software will be used to demonstrate these analyses. Workshop conducted by Dr. Whitney Moore. | Register Here Join Here |
| May 27, 2025 1:00 - 4:00 | Inferential Statistics | This workshop is designed for individuals with little to no background in math or statistics. Its goal is to introduce you to the fundamental concepts of statistical inference and explore commonly used methods, with a focus on when and how to apply them effectively. You’ll also gain hands-on experience applying these methods using the statistical software R. Workshop conducted by Dr. Peng Xiao. | Register Here Join Here |
| May 28, 2025 9:00 - 12:00 | T Tests and ANOVA | This workshop will cover the use of Students t-test and its various forms for a single sample (group), two independent samples or groups, and paired or matched data. Concepts of hypotheses testing will be briefly covered. These analyses will then be generalized to cover more than two groups in Single Factor ANOVA as well as cover two or more factors in an ANOVA. IBM SPSS and R software will be used to demonstrate these analyses. Workshop conducted by Dr. Alex Schoemann. | Register Here Join Here |
| May 28, 2025 1:00 - 4:00 | Linear Regression | This workshop will provide an introduction to simple and multiple linear regression models. Topics include model assumptions, parameter estimation and interpretations, model selection, model diagnosis, and ways to accommodate assumption violations. SPSS will be used for demonstration. Workshop conducted by Dr. Xiangming Fang. | Register Here Join Here |
| May 29, 2025 9:00 - 12:00 | Analyzing Repeated or Panel Data | This workshop is an introduction to analysis of repeated or panel data. We will study how to model the correlations among the repeated measurements while addressing differences among groups or regressions on predictors. Some real data examples will be given using SAS. Workshop conducted by Dr. Qiang Wu. | Register Here Join Here |
| May 29, 2025 1:00 - 4:00 | An Introduction to data Cleaning with R | This seminar will focus on using R to manipulate data sets. It includes reading raw data, transforming data, changing data types, recoding data, manipulating character data, identifying missing values and extreme values, and performing data imputation if time permits. Workshop conducted by Mr. Franklin Zhou. | Register Here Join Here |
| June 3, 2025 9:00 - 11:00 | Research Design in Qualitative Studies | Qualitative methods allow researchers to advance theory and practice across disciplines through the examination of individuals lived experiences and social realities. This workshop will (1) introduce the epistemological and ontological assumptions of qualitative research, (2) discuss the process of developing research questions in qualitative research, and (3) consider how a qualitative research project could be designed to answer the research questions developed. Varying approaches to qualitative data collection (e.g., interviews, focus groups, participant observation, document analysis) will be discussed briefly. Workshop conducted by Dr. Drew Ashby-King. | Register Here Join Here |
| June 3, 2025 1:00 - 3:00 | Mixed Methods | This session will offer an introduction to mixed methods research, including discussion of different approaches to conducting mixed methods studies, sampling and participants, data collection, integration of data, and sharing of results. Participants will have the opportunity to practice thinking through the design of a mock mixed methods study based on a research scenario. Workshop conducted by Dr. Kawanna Bright. | Register Here Join Here |
| June 4, 2025 9:00 - 11:00 | Conducting Interviews | This workshop will provide a basic introduction to how to conduct interviews as part of the qualitative research process. It will also provide more advanced information on conducting successful interviews, tools to assist with the interview process to make analysis easier, using cloud services for the interview process, and more! Workshop conducted by Dr. Michelle Malkin. | Register Here Join Here |
| June 4, 2025 1:00 - 3:00 | Participatory Action Research | This workshop will define and discuss the processes of participatory action research. Participants will leave with a definition and a beginning foundation for understanding PAR. Workshop conducted by Dr. Carrie Bergeson. | Register Here Join Here |
| June 5, 2025 9:00 - 11:00 | Handle Missing Data in R | This seminar will focus on using R to address the problem of missing data. It includes identifying missing data, visualizing missing data, applying hands-on imputation methods, and pooling results. Workshop conducted by Mr. Franklin Zhou. | Register Here Join Here |
| June 5, 2025 1:00 - 3:00 | Structural Equation Modeling | The workshop will provide a basic introduction to Structural Equation Modeling (SEM) including model specification, model identification, model estimation, and model fit. We will use AMOS and R to build and analyze SEM models, including path analysis, confirmatory factor analysis, and regression analysis with latent variables. Workshop conducted by Dr. Hui Bian. | Register Here Join Here |