Quantitative Data Analysis & Visualization Series
The Center for Faculty Excellence (CFE) and the Center for Family and Demographic Research are excited to host the Quantitative Data Analysis & Visualization Series this academic year. These sessions have been designed for BGSU faculty, staff, and graduate students who are interested in learning about the tools and platforms available to use for data analysis and strategies and best practices for data visualization.
To learn more about upcoming sessions in this series, please see the listings below. Listings are in chronological order by date of the workshop.
Advance registration is required for all events. Registration will close one business day before the scheduled event. Please register for an event by clicking on the registration link below.
To individuals with disabilities, please indicate if you need special services, assistance or appropriate modifications to fully participate in the workshop either on the registration form or by contacting Accessibility Services at access@bgsu.edu or 419-372-8495. Please notify Accessibility Services and/or the CFE office prior to the event.
Basic Operations in Stata
Facilitator: Hsueh-Sheng Wu, M.S.W., Data Analyst, Center for Family and Demographic Research
Join this first session in the Quantitative Data Analysis & Visualization Series to learn about Stata, a statistical software package used to store and manage data, undertake statistical analysis, and create visualizations. In this session, you will learn about the Stata user interface and key commands. Tailored for Stata beginners, this session will lay a solid foundation for future exploration into advanced Stata coding and unlocking the potential of Stata for quantitative analysis. This session is designed for BGSU faculty, staff, and graduate students who are new to using Stata.
In this session, you will learn how to:
- Navigate Stata’s user interface and key commands.
- Access help resources within Stata.
- Utilize commands for file management; generating, examining, and modifying variables; and subsetting the sample.
Date & Time:
Mon, September 16, 10:00-11:00 a.m.
Location:
Zoom
Session Type:
Demonstration
Session Category:
Scholarship
Cleaning & Preparing Data in Stata for Quantitative Analysis
Facilitator: Hsueh-Sheng Wu, M.S.W., Data Analyst, Center for Family and Demographic Research
Join the second session in the Quantitative Data Analysis & Visualization Series to learn how to clean and prepare data in Stata, a statistical software package used to store and manage data, undertake statistical analysis, and create visualizations. This session will highlight the key role of data management in bridging research questions and data analysis using a detailed flowchart to illustrate the various stages and branch points, ranging from formulating research questions to conducting data analyses. Learn essential commands for error checking, recoding variables, and data merging. Elevate your data management skills and streamline analytical workflows. This session is designed for BGSU faculty, staff, and graduate students who want to use Stata to clean up data for future analyses.
In this session, you will:
- Define the critical role of data management in connecting research questions to data analysis.
- Define essential commands for error checking, recoding variables, and data merging in Stata.
- Recognize data suitability for future analyses.
Date & Time:
Mon, October 21, 10:00-11:00 a.m.
Location:
Zoom
Session Type:
Demonstration
Session Category:
Scholarship
Analytic Techniques in Stata
Facilitator: Hsueh-Sheng Wu, M.S.W., Data Analyst, Center for Family and Demographic Research
Join the third session in the Quantitative Data Analysis & Visualization Series to explore the analytic power of Stata, a statistical software package used to store and manage data, undertake statistical analysis, and create visualizations. This session will cover descriptive and inferential statistics. From summarizing data with measures like means and standard deviations to hypothesis testing and various regression analyses, you will learn essential techniques for extracting insights from datasets. Whether you are a novice or seasoned analyst, this session offers practical skills to elevate your statistical proficiency. Join us for a dynamic learning experience about Stata's statistical toolbox! This session is designed for BGSU faculty, staff, and graduate students who plan to use Stata for data analyses.
In this session, you will:
- Identify essential skills for extracting insights from datasets using Stata.
- Recognize techniques for descriptive analyses in Stata, such as means and standard deviations.
- Identify techniques for inferential analyses, such as various regression analyses.
Date & Time:
Mon, November 18, 10:00-11:00 a.m.
Location:
Zoom
Session Type:
Demonstration
Session Category:
Scholarship
Updated: 08/07/2024 01:14PM