This presentation will discuss causal inference and directed acyclic graphs. Participants will learn the difference between description, prediction, and causal inference as three distinct scientific tasks requiring distinct scientific methods. Additionally, participants will understand the main features of causal directed acyclic graphs and how they can be used to plan and interpret causal analysis and appreciate some of the challenges and implications of using directed acyclic graphs in applied research.
data analysis
QMC Spring 2023 By the Numbers Events: Childhood Poverty & Inflation By the Numbers (Zoom)
Friday, March 3, 2023, 12:00pm – 1:00pm: Dr. Kalee Burns, U.S. Census Bureau
Title: By the Numbers: Childhood Poverty & Inflation By the Numbers
Please join Dr. Kalee Burns, who is an Economist for the U.S. Census, for a discussion of recent findings published by the Census regarding childhood poverty.
Please read the following Census report authored by Dr. Burns before attending the event:
Census Report: Child Poverty Fell to Record Low 5.2% in 2021
Dr. Kalee Burns
Bio
Dr. Kalee Burns is an economist at the Poverty Statistics Branch within the Social, Economic, and Housing Statistics Division at the U.S. Census Bureau. Dr. Burns completed her Ph.D. in Economics at the Andrew Young School of Policy Studies at Georgia State University.
Dr. Burns has authored and co-authored research articles on the Supplemental Poverty Measure in the U.S., migration constraints and job opportunities, social capital and entrepreneurship, and gentrification and amenities.
Her research interests include Urban and Regional Economics and Labor Economics.
QMC Spring 2023 Speaker Series: Presentation by Stephen Gavazzi (Zoom)
Friday, March 10, 12:00pm – 1:00pm: Dr. Stephen Gavazzi, Director, Center for Human Resource Research (CHRR)
Title: Data and Samples Available Through CHRR at The Ohio State University: The National Longitudinal Studies, Ohio Longitudinal Data Archive, and the American Population Panel
Dr. Stephen Gavazzi
Stephen M. Gavazzi, Ph.D. is Director of CHRR at The Ohio State University, as well as a professor in the College of Education and Human Ecology at Ohio State. Dr. Gavazzi is responsible for the overall operations of CHRR, which serves as Ohio State’s center for data and survey excellence. His areas of expertise include a variety of topics within human development and family science (he is a trained marriage and family therapist), with a special emphasis on matters concerning families with adolescents. Professor Gavazzi also has a strong interest in issues surrounding higher education, including leadership, campus-community relationships, and the mission of land-grant universities. His latest book (What’s Public About Public Higher Ed? published in 2021 by Johns Hopkins University Press) was based on survey data collected using CHRR’s American Population Panel.
About CHRR
CHRR at The Ohio State University supports two large longitudinal databases – the National Longitudinal Studies (NLS) and the Ohio Longitudinal Data Archive (OLDA) – as well as housing the American Population Panel (APP), a group of 45,000+ volunteer members who have agreed to participate in social science and health related studies for research purposes. CHRR Director Steve Gavazzi will present information on these databases and related research tools that are available to researchers and policymakers through Ohio State’s center for survey and data excellence.
Learn more about Dr. Gavazzi by visiting his OSU directory page, as well as his CHRR page.
QMC Spring 2023 Speaker Series: Presentation by Paul Wesson (Zoom)
Friday, February 24, 12:00pm – 1:00pm: Paul Wesson, Assistant Professor of Epidemiology and Biostatistics, University of California, San Francisco
Dr. Paul Wesson
Dr. Paul Wesson is an epidemiologist focused on quantifying the health burdens of (and disparities related to) hard-to-reach and socially marginalized populations, particularly as they relate to infectious diseases. His research expertise includes developing and using data driven methods for sampling hard-to-reach and “hidden” populations, population size estimation methods, and using advanced epidemiologic and statistical techniques to study the social determinants of health. He sees his research as existing at the nexus of infectious disease, data science, and social epidemiology; as such, he incorporates theories and principles from social epidemiology to inform and guide his study designs and analyses (e.g. intersectionality, minority stress theory).
Specifically, as an HIV researcher, his research agenda relates to the unique challenges of sampling hard-to-reach populations for HIV surveillance, and leverages information from the sampling process (and survey data) to generate estimates of the population size. Valid estimates of the population size are a key component of biomedical informatics and epidemiological analyses (providing a denominator for the population at risk) and inform how and where limited public health resources should be targeted. As part of his research on population size estimation, he has also developed novel population size estimation methods to correct for known biases. Additionally, Paul is interested in extending his research to include geo-spatial analysis and clinical data to further examine contextual and structural determinants of disparities in health outcomes.
Spring 2023 QMC Workshop: Introduction to the Dependent Samples t-test and Repeated Measures ANOVA (Zoom)
Group Mean Comparison Workshop Series
Two-Part series-Workshops on group mean comparison by the EHE Quantitative Methodology Center (QMC)
The QMC is offering a two-part series on common group mean comparison methods in social sciences. These workshops will occur from 1:00 pm to 2:30 pm on Wednesday, February 8th and Wednesday, February 22nd. The overall goals of the workshop series are to introduce how and in which research context to use different group mean comparison methods, including the independent sample t-test, analysis of variance (ANOVA), dependent sample t-test, and repeated measures ANOVA. These workshops do not require previous knowledge of the group mean comparison; however, having some experience with an introduction to statistics and SPSS is beneficial. Both workshops are free. Read below for more information about each workshop. You may register for either or both workshops, but you must register for each workshop separately.
Workshop 2: Introduction to the Dependent Samples t-test and Repeated Measures ANOVA, Wednesday, February 22nd, from 1:00 pm to 2:30 pm
This session will cover an introduction to the dependent samples t-test and repeated measures ANOVA. During the workshop, the instructor will perform how to do these analyses in SPSS. Join us for this FREE virtual hands-on workshop! Presented by the EHE QMC. Participants should have their own laptop with SPSS already installed.
Registration will be open soon!
Spring 2023 QMC Workshop: Introduction to the Independent Samples t-test and ANOVA (Zoom)
Group Mean Comparison Workshop Series
Two-Part series-Workshops on group mean comparison by the EHE Quantitative Methodology Center (QMC)
The QMC is offering a two-part series on common group mean comparison methods in social sciences. These workshops will occur from 1:00 pm to 2:30 pm on Wednesday, February 8th and Wednesday, February 22nd. The overall goals of the workshop series are to introduce how and in which research context to use different group mean comparison methods, including the independent sample t-test, analysis of variance (ANOVA), dependent sample t-test, and repeated measures ANOVA. These workshops do not require previous knowledge of the group mean comparison; however, having some experience with an introduction to statistics and SPSS is beneficial. Both workshops are free. Read below for more information about each workshop. You may register for either or both workshops, but you must register for each workshop separately.
Workshop 1: Introduction to the Independent Samples t-test and ANOVA, Wednesday, February 8th, from 1:00 pm to 2:30 pm
This session will cover an introduction to the independent samples t-test and ANOVA. During the workshop, the instructor will perform how to do these analyses in SPSS. Join us for this FREE virtual hands-on workshop! Presented by the EHE QMC. Participants should have their own laptop with SPSS already installed.
What does recess look like for children with significant disabilities?: Zoom
If you ask an elementary school child to identify their favorite time of the school day, chances are their answer will be recess. Not only is recess a popular time, but it also creates a natural opportunity to develop social competence and build social connections. However, the experiences of students with significant disabilities at recess have not been well studied. Dr. Matthew Brock will discuss recent research using observations of social and play behavior at recess for elementary students with significant disabilities. His research team also interviewed students to understand social networks. These data were then compared to data of typically developing peers. Dr. Brock will share the findings on differences between students with and without significant disabilities as well as group variability.
Spring 2023 By the Numbers: Race and College Applications Webinar
Our first By the Numbers event, titled “By the Numbers: Race and College Applications,” will feature Dr. Brian Heseung Kim, Senior Data Scientist at the Common Application, Inc., who will provide a brief presentation on his team’s recent report regarding college application race and ethnicity. We ask that participants read or familiarize themselves with the report prior to attending the event, and come prepared with questions for Dr. Kim. The discussion is not about just sharing an opinion, but voicing an opinion based on facts, i.e., by the numbers.
Introduction to Data Visualization (Virtual Event)
Join our Data Visualization Specialist, Brian Wisniewski, for a virtual workshop on the basics of Data Visualization. Hosted by the Research Commons, this workshop will break down what data visualization is and why it is important. Examples, tips, tools (Overviewing R, Tableau, Excel), and resources will be shared, with the aim of enabling participants to realize data visualization in their own lives. Join us to broaden your outlook on what data viz is and what it can do for you!
Q&A on the NIH Data Management and Sharing (DMS) Policy (Virtual Event)
Do you have questions about the new NIH Data Management and Sharing (DMS) Policy? This virtual office-hours style event features representatives from six campus offices with expertise in different areas impacted by the DMS policy.
Experts from each area will host a breakout room and participants are encouraged to drop in each room with their questions and actively participate in the discussions. Questions may also be submitted in advance through the registration form or by contacting datamanagement@osu.edu.
Areas represented include:
- NIH DMS Policy 101
- What to share and where to share it
- How to write a DMS plan with DMPTool
- Proposal preparation and budgeting for allowable data costs
- Special topics
- Sharing human research participant data
- Secure data storage
- Intellectual property and commercialization
This event is ideal for researchers and teams who currently receive NIH funding or may apply in the future, as well as staff who support NIH-funded researchers. Registration is required, but participants are welcome to come and go as their time allows during the 90-minute session.
Can’t make the Q&A event? Send your questions to datamanagement@osu.edu and check out the Ohio State NIH DMS Policy Guide for the latest updates. This event will not be recorded.
About the NIH Data Management and Sharing (DMS) Policy
The policy will apply to all new funding applications on or after January 25, 2023 regardless of funding amount. Applicants must submit a DMS plan describing how they will make their data publicly available prior to the conclusion of the award period. Compliance with the submitted and accepted plan will be assessed and non-compliance can impact future funding.
This event is co-facilitated by:
University Libraries Research Commons
Health Sciences Library
Office of Innovation and Economic Development
Office of Responsible Research Practices
Office of Sponsored Programs
Office of Technology and Digital Innovation
