Statistics and Research Workshop Series
View Recordings of Previous Sessions
| Date/Time | Session Title | Description | Links |
|---|---|---|---|
| January 23, 2025 1:00 - 3:00 | Qualtrics 1 | 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. | Meeting Recording |
| January 30, 2025 1:00 - 3:00 | Qualtrics 2 | This is a continuation of the first Qualtrics workshop. We will learn how to format a survey, download a dataset and understand the coding in the data; how to create a contact list and distribute a survey through Qualtrics; survey options including security, post survey email trigger, and quotas. | Meeting Recording |
| February 5, 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. | Meeting Recording |
| February 13, 2025 1:00 - 3:00 | Meta-Analysis | Meta-analysis is the statistical procedure for combining data from multiple independent studies. It is a quantitative approach and a synthesis of prior literature on a particular topic. This workshop will focus on a random effect model. Three examples will be presented: outcome variable is continuous, outcome variable is binary, and meta regression. | Meeting Recording |
| February 18, 2025 10:00 - 12:00 | Python Intro | 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. Please go to https://myweb.ecu.edu/bianh/workshop.html to download Anaconda and workshop materials. | Meeting Recording |
| February 26, 2025 1:00 - 3:00 | Sensitivity and Specificity Analysis in Social Science | Sensitivity and specificity are measures used to describe the validity of a diagnostic test or screening tool. The workshop will discuss what sensitivity and specificity are, what ROC is, and the relationship between classification models (logistic regression models) and test validity. | Meeting Recording |
| March 5, 2025 1:00 - 3:00 | 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. | Meeting Recording |
| March 18, 2025 2:00 - 3:00 | Systematic Reviews: Data Extraction & Quality Assessment | Are you conducting a systematic review or going to be? Learn best practices for evidence synthesis data extraction. This class will also 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 both processes in an evidence synthesis. Facilitated by Jamie Bloss | Meeting Recording Link to Session Materials |
| March 20, 2025 1:00 - 3:00 | Randomized Controlled Trial (RCTs) | RCTs are the research design used in studying treatment effects in clinical research. The workshop will focus on the intervention research, how to design a RCT study, and how to analyze RCTs data. | Meeting Recording |
| March 21, 2025 12:00 - 1:00 Belk Annex 118 | Integrating GIS and Qualitative Data for Spatial Insights | Geographic Information Systems (GIS) are usually associated with quantitative spatial analysis. However, GIS plays a critical role in integrating and analyzing qualitative data. Qualitative GIS offers a better understanding of human-environment interactions. Techniques like participatory mapping, geocoding non-numerical data, and spatial storytelling allow researchers to visualize and interpret social, cultural, and historical dimensions of space. | Meeting Recording |
| March 24, 2025 1:00 - 2:00 | Dataset Discourse: The great search for missing data | Please join us for an informal discussion on the evolving access points for government information and data. We hope this conversation provides helpful and relevant information to help access government resources. We will share some places where data has been migrated and groups that are sharing timely updates. We will provide an overview of a library guide on locating missing data and information. Additionally, we will demo how to use some of these resources to access archived datasets. Please bring questions or helpful resources to this session. Note: This session will not be recorded | Link to Session Materials Link to Handouts |
| March 27, 2025 1:00 - 3:00 | Moderation and Mediation Analysis | Moderation analysis, also called interaction analysis, is used to explore the relationship between an independent variable (X), a moderator variable (W), and a dependent variable (Y). It examines whether the relationship between X and Y is influenced by the levels of W. Mediation analysis is used to examine whether the relationship between X and Y is through a mediator variable (M). In this workshop, we will use the PROCESS program created by Dr. Andrew Hayes, and R to conduct moderation and mediation analyses. | Meeting Recording |
| April 2, 2025 1:00 - 2:30 | Getting Started on Research: How to plan a meaningful and realistic thesis/dissertation study | This session will provide graduate students, or anyone interested in conducting research with guidelines on how to get started with a research project. We want to help graduate students plan their thesis or dissertation research from the very beginning. Guidelines include how to design a research study, all the logistics of conducting a research study, how to measure research interests, sample size, and relationships between research questions and data analysis. | Meeting Recording |
| April 10, 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. | Meeting Recording |
| April 16, 2025 9:00 - 10:30 | REDCap Basics, Tips & Tricks | REDCap (Research Electronic Data Capture) is a secure, approved for HIPAA- and FERPA-use, web-based application for building and managing online surveys and databases. Need REDCap access? Start here. Facilitated by Chris Motteler and Gary Wallace | |
| April 17, 2025 9:00 - 10:30 | REDCap Intermediate | REDCap (Research Electronic Data Capture) is a secure, approved for HIPAA- and FERPA-use, web-based application for building and managing online surveys and databases. Need REDCap access? Start here. Facilitated by Chris Motteler and Gary Wallace | |
| April 17, 2025 1:00 - 2:00 | Qualtrics Training | Qualtrics is a web-based survey tool approved for the collection or storage of non-sensitive data. Available to Full-time ECU faculty, staff, and students. First create an account from the Qualtrics login page using your PirateID username and ECU password only. Facilitated by Chris Motteler and Gary Wallace | |
| April 23, 2025 9:00 - 10:30 | REDCap Basics, Tips & Tricks | REDCap (Research Electronic Data Capture) is a secure, approved for HIPAA- and FERPA-use, web-based application for building and managing online surveys and databases. Need REDCap access? Start here. Facilitated by Chris Motteler and Gary Wallace | Register Here Join Here |
| April 23, 2025 1:00 - 3:00 | AMOS Intro | AMOS is a software for analyzing structural equation modeling data. This workshop will start with the very basics of AMOS. You will learn the AMOS interface, how to draw graphs in AMOS, the different graphing tools, how to identify models, and how to run confirmatory factor analysis, path analysis, and SEM models. | Register Here Join Here |
| April 24, 2025 9:00 - 10:30 | REDCap Intermediate | REDCap (Research Electronic Data Capture) is a secure, approved for HIPAA- and FERPA-use, web-based application for building and managing online surveys and databases. Need REDCap access? Start here. Facilitated by Chris Motteler and Gary Wallace | Register Here Join Here |
| April 24, 2025 1:00 - 2:00 | Qualtrics Training | Qualtrics is a web-based survey tool approved for the collection or storage of non-sensitive data. Available to Full-time ECU faculty, staff, and students. First create an account from the Qualtrics login page using your PirateID username and ECU password only. Facilitated by Chris Motteler and Gary Wallace | Register Here Join Here |
Summer 2025 Sessions |
|||
| May 7, 2025 9:00 - 10:30 | REDCap Basics, Tips & Tricks | REDCap (Research Electronic Data Capture) is a secure, approved for HIPAA- and FERPA-use, web-based application for building and managing online surveys and databases. Need REDCap access? Start here. Facilitated by Chris Motteler and Gary Wallace | Register Here Join Here |
| May 8, 2025 9:00 - 10:30 | REDCap Intermediate | REDCap (Research Electronic Data Capture) is a secure, approved for HIPAA- and FERPA-use, web-based application for building and managing online surveys and databases. Need REDCap access? Start here. Facilitated by Chris Motteler and Gary Wallace | Register Here Join Here |
| May 8, 2025 1:00 - 2:00 | Qualtrics Training | Qualtrics is a web-based survey tool approved for the collection or storage of non-sensitive data. Available to Full-time ECU faculty, staff, and students. First create an account from the Qualtrics login page using your PirateID username and ECU password only. Facilitated by Chris Motteler and Gary Wallace | Register Here Join Here |
| 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 |
Fall 2024 Sessions |
|||
| September 4, 2024 1:00 - 3:00 | SPSS intro | This workshop serves as a basic introduction to using SPSS. We will explore the SPSS interface, file types, variable coding and recoding, case selection and sorting and basic descriptive statistics. | Meeting Recording |
| September 11, 2024 1:00 - 3:00 | Inferential statistics | This workshop will focus on the relationship between sample and population, normal distribution, hypothesis testing, types of errors, power, and effect size. | Meeting Recording |
| September 19, 2024 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. | Meeting Recording |
| September 25, 2024 1:00 - 3:00 | Multiple linear regression | This workshop serves as a basic introduction to multiple 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. | Meeting Recording |
| October 3, 2024 1:00 - 3:00 | Multilevel modeling for clustered data | This workshop will give you an introduction of multilevel modeling. The workshop focuses more on the concept and two-level models. However, examples of analyzing cross-sectional data using SPSS and R will be presented. | Meeting Recording |
| October 10, 2024 1:00 - 3:00 | Multilevel modeling for longitudinal data | This workshop is a continuation of the previous Multilevel Modeling of Clustered Data. Examples of analyzing longitudinal data using SPSS and R will be presented. | Meeting Recording |
| October 17, 2024 1:00 - 3:00 | Excel in data management | This workshop will focus on how to use Excel to do data analysis and create graphs: 1. data layout in Excel; 2. prepare data for data analysis; 3. merge excel files and work sheets; 4. combine texts from different columns; 5. create Excel tables including regular table and pivot table; 6. analyze data (get descriptive statistics results) using table functions; 7. create graphs to summarize data. | Meeting Recording |
| October 24, 2024 1:00 - 2:00 | Bootstrapping in data analysis using SPSS and R | Bootstrapping is a resampling technique. It is particularly useful when the traditional assumptions required for classical statistical methods are not met or when the sample size is small. This workshop will address the concept of bootstrapping in statistics and how to use SPSS and R to perform bootstrapping. | Meeting Recording |
| October 30, 2024 1:00 - 3:00 | Discriminant analysis using SPSS and R | Discriminant Analysis aims to determine group membership based on a collection of metric predictors that are independent variables. The primary function of this technique is to assign each observation to a particular group or category according to the data’s independent characteristics. Implementation of discriminant analysis will be illustrated using SPSS and R. | Meeting Recording |
| November 7, 2024 1:00 - 3:00 | NVivo | NVivo is a qualitative data analysis package. It is designed to assist researchers in managing and analyzing unstructured data such as text, audio, video, images, and social media data. The workshop will focus on the basics of NVivo 14 including an introduction to the NVivo14 interface; importing documents, video, dataset, and pictures into NVivo; creating nodes and identifying relationships between nodes; coding; and conducting queries (e.g., word frequency and text search). | Meeting Recording |
| November 13, 2024 1:00 - 3:00 | Mixed research design | This workshop will introduce the definition of mixed methods and six major mixed methods designs. We will focus on definition of each design, key points and procedure of conducting a mixed methods study, and variants of each design. | Meeting Recording |
| Join Here | |||
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.
Note: Research/statistics consulting is available at regular hours (8am-5pm, M-F). All workshops and consultations are open to graduate students as well.