Statistics and Research Workshop Series
View Recordings of Previous Sessions
| Date/Time | Session Title | Description | Links |
|---|---|---|---|
| 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 |
| 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. | Register Here Join Here |
| 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. | Register Here Join Here |
| 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. | Register Here Join Here |
| 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. | Register Here Join Here |
| 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. | Register Here Join Here |
| 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. | Register Here Join Here |
| 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 | Register Here Join Here |
| 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. | Register Here Join Here |
| 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. | Register Here Join Here |
| 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. | Register Here Join Here |
| 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. | 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 |
Note: Research/statistics consulting is available at regular hours (8am-5pm, M-F). All workshops and consultations are open to graduate students as well.