This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22) 2 hours per day. Attendance is required as the course will not be recorded.

Course Summary:

This course introduces Structural equation modeling (SEM) with Stata software. This statistical method tests theoretically derived models with observed and unobserved variables. This methodology is different from other regression models in that this method does not assume that the variables have been measured without error. The relationship between theoretical constructs is tested using latent variables, which are variables with at least two observable measures that mathematically can represent unobserved abstract constructs. The relationship between variables is analyzed using direct, indirect, and total effects. SEM allows searchers can test mediation effects to identify underlying mechanisms that influence the relationship between a key independent variable and outcome. Moreover, this model enables researchers to test theoretical models with more than one dependent variable. The class will focus on models for continuous variables and discuss options to analyze models with categorical variables.

The course will cover how to perform the following steps:

- Measure confirmatory factor analysis (CFA) to evaluate the validity of the construct
- Model identification
- Model fit
- Test hypotheses
- Model the missing data of continuous independent variables
- Interpret results

Requirements:

1) Students must know how to model and interpret correlations and ordinary least square (OLS) regressions.
2) Know how to use the basic Stata functions, i.e., enter and save data, create variables, use command window, and do file.

Instructor: Eugenia Conde, PhD

Eugenia Conde, PhD, is a Statistical Consultant at The H. W. Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. She provides consultations to students and faculty on research methods and statistics. Her PhD is in sociology with a concentration in demography and medical sociology. In addition, she holds an MSPH in epidemiology. Before working at the Odum Institute, she worked at Rutgers University and at Duke University as a statistical consultant for graduate students and as a statistician for researchers from different disciplines, including political science, economics, psychology, sociology, and public health.

Registration Fees
- $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)

Additional Course Registration
- Registration will close at 12:01 am on 10/14/2022. Once registration closes, no late registrations will be accepted, no exceptions.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- For questions regarding the status of this class, please contact Jill Stevens at This email address is being protected from spambots. You need JavaScript enabled to view it..

Register

The UNC Eshelman Institute for Innovation is hosting their next AWS Immersion Training October 18-20 on campus in Beard Hall.

This no-cost three-day training will educate UNC faculty/staff about AWS products and services and help them develop the skills needed to build, deploy, and operate infrastructure and applications in the cloud. Immersion days also provide participants with hands-on AWS lab experience.

Immersion Days are designed for all PIs and research teams interested in using the AWS console for their research data needs. Research team members who will build, deploy, and operate the infrastructure are encouraged to participate in the training.

Interested participants can register online by completing an assessment form. The Eshelman Institute will contact registrants to learn more about their research. Following participation, users are eligible to receive up to $5,000 in free AWS credits.

Training times TBD

Registration deadline: October 3, 2022

register

Implementation Science Speaker Series - Implementation and Effectiveness of Digital Health Interventions for Cancer Screening

The growing prevalence of mobile device ownership and high-speed internet access have created new opportunities to reach, educate, and empower patients to participate in their care. However, digital health interventions can be difficult to implement in busy clinical environments and may widen health disparities. David Miller, MD, MS, will share lessons learned along his 20-year journey of creating and implementing patient-facing digital health interventions designed to facilitate cancer screening.

Presenter:

David P. Miller, MD, MS
Professor, Internal Medicine and Implementation Science
Wake Forest University School of Medicine

The event is co-sponsored by NC TraCS and the Lineberger Comprehensive Cancer Center.

Register

UNC Frank Porter Graham Child Development Institute and the UNC School of Social Work are co-sponsoring Language Summit 2022. The summit will take place across four days—while attendees are encouraged to attend multiple sessions, you do not have to attend all to benefit from the presentations/discussions.

Together, we will think through the importance of intentional language use and how language can be harmful, understand how language is always changing and changes are typically seen in spoken language before written language, and develop more inclusive language practices across daily communications in our work and in our communities.

Science doesn’t speak for itself. It requires translation for non-academic audiences, like practitioners, policymakers, or the public. The science of framing can help scientists avoid predictable communications missteps and advance greater understanding and engagement. Join Julie Sweetland, a sociolinguist and senior advisor of the FrameWorks Institute, to explore an evidence-based, action-oriented set of principles for more effective science communication.

Register

The UNC Eshelman Institute for Innovation is hosting their next AWS Immersion Training October 18-20 on campus in Beard Hall.

This no-cost three-day training will educate UNC faculty/staff about AWS products and services and help them develop the skills needed to build, deploy, and operate infrastructure and applications in the cloud. Immersion days also provide participants with hands-on AWS lab experience.

Immersion Days are designed for all PIs and research teams interested in using the AWS console for their research data needs. Research team members who will build, deploy, and operate the infrastructure are encouraged to participate in the training.

Interested participants can register online by completing an assessment form. The Eshelman Institute will contact registrants to learn more about their research. Following participation, users are eligible to receive up to $5,000 in free AWS credits.

Training times TBD

Registration deadline: October 3, 2022

register

This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22) 2 hours per day. Attendance is required as the course will not be recorded.

Course Summary:

This course introduces Structural equation modeling (SEM) with Stata software. This statistical method tests theoretically derived models with observed and unobserved variables. This methodology is different from other regression models in that this method does not assume that the variables have been measured without error. The relationship between theoretical constructs is tested using latent variables, which are variables with at least two observable measures that mathematically can represent unobserved abstract constructs. The relationship between variables is analyzed using direct, indirect, and total effects. SEM allows searchers can test mediation effects to identify underlying mechanisms that influence the relationship between a key independent variable and outcome. Moreover, this model enables researchers to test theoretical models with more than one dependent variable. The class will focus on models for continuous variables and discuss options to analyze models with categorical variables.

The course will cover how to perform the following steps:

- Measure confirmatory factor analysis (CFA) to evaluate the validity of the construct
- Model identification
- Model fit
- Test hypotheses
- Model the missing data of continuous independent variables
- Interpret results

Requirements:

1) Students must know how to model and interpret correlations and ordinary least square (OLS) regressions.
2) Know how to use the basic Stata functions, i.e., enter and save data, create variables, use command window, and do file.

Instructor: Eugenia Conde, PhD

Eugenia Conde, PhD, is a Statistical Consultant at The H. W. Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. She provides consultations to students and faculty on research methods and statistics. Her PhD is in sociology with a concentration in demography and medical sociology. In addition, she holds an MSPH in epidemiology. Before working at the Odum Institute, she worked at Rutgers University and at Duke University as a statistical consultant for graduate students and as a statistician for researchers from different disciplines, including political science, economics, psychology, sociology, and public health.

Registration Fees
- $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)

Additional Course Registration
- Registration will close at 12:01 am on 10/14/2022. Once registration closes, no late registrations will be accepted, no exceptions.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- For questions regarding the status of this class, please contact Jill Stevens at This email address is being protected from spambots. You need JavaScript enabled to view it..

Register

The UNC Eshelman Institute for Innovation is hosting their next AWS Immersion Training October 18-20 on campus in Beard Hall.

This no-cost three-day training will educate UNC faculty/staff about AWS products and services and help them develop the skills needed to build, deploy, and operate infrastructure and applications in the cloud. Immersion days also provide participants with hands-on AWS lab experience.

Immersion Days are designed for all PIs and research teams interested in using the AWS console for their research data needs. Research team members who will build, deploy, and operate the infrastructure are encouraged to participate in the training.

Interested participants can register online by completing an assessment form. The Eshelman Institute will contact registrants to learn more about their research. Following participation, users are eligible to receive up to $5,000 in free AWS credits.

Training times TBD

Registration deadline: October 3, 2022

register

Frequent Research Study Audit Findings Requiring a Corrective and Preventative Action (CAPA) Plan

Please join the Network of Research Professionals and Jamie Kauwell, Senior CTQA Auditor, for a review of frequent audit findings and provide suggestions to develop an appropriate corrective and preventative action plan (CAPA).

- Define the criteria used to identify what findings require a CAPA plan

- Identify frequent findings requiring a CAPA plan found during a research study audit by the CTQA Program

- Explain what is needed to create an effective CAPA plan

Register

UNC Frank Porter Graham Child Development Institute and the UNC School of Social Work are co-sponsoring Language Summit 2022. The summit will take place across four days—while attendees are encouraged to attend multiple sessions, you do not have to attend all to benefit from the presentations/discussions.

Together, we will think through the importance of intentional language use and how language can be harmful, understand how language is always changing and changes are typically seen in spoken language before written language, and develop more inclusive language practices across daily communications in our work and in our communities.

This panel will explore how the language that academics choose to use shapes interactions with community partners and impacts the feeling of belonging and inclusion in academic spaces. Panelists include Mysha Winn, executive director, Project Momentum and Victoria Chavis, coordinator co-curricular & academic engagement, Carolina Firsts.

Register

Bad City: A Conversation with the Author

Please join the UNC Office of Ethics & Policy for a conversation with the Pulitzer Prize winning reporter Paul Pringle about his new book, Bad City, which details his investigation of shocking misconduct by a former dean at the University of Southern California medical school. Pringle’s book is a study about complicity and abuses of power by individuals and institutions. The conversation hosts will talk with Pringle about his book and his insight about ethics in journalism, the perils of cronyism and the courage of everyday citizens who attempt to seek justice amid corrupt practices. Flyleaf Books in Chapel Hill has copies of Bad City available for 10% off, leading up to the event.

Presenters:

Paul Pringle
Investigative Reporter
LA Times

Kim Strom, PhD, LISW
Director, UNC Office of Ethics and Policy
Smith P. Theimann Distinguished Professor of Ethics and Social Work

Susan King, MA
Dean Emeritus
UNC Hussman School of Journalism and Media

Register

This in-person course will be offered over 3 afternoons (10/17/22, 10/19/22, and 10/21/22) 2 hours per day. Attendance is required as the course will not be recorded.

Course Summary:

This course introduces Structural equation modeling (SEM) with Stata software. This statistical method tests theoretically derived models with observed and unobserved variables. This methodology is different from other regression models in that this method does not assume that the variables have been measured without error. The relationship between theoretical constructs is tested using latent variables, which are variables with at least two observable measures that mathematically can represent unobserved abstract constructs. The relationship between variables is analyzed using direct, indirect, and total effects. SEM allows searchers can test mediation effects to identify underlying mechanisms that influence the relationship between a key independent variable and outcome. Moreover, this model enables researchers to test theoretical models with more than one dependent variable. The class will focus on models for continuous variables and discuss options to analyze models with categorical variables.

The course will cover how to perform the following steps:

- Measure confirmatory factor analysis (CFA) to evaluate the validity of the construct
- Model identification
- Model fit
- Test hypotheses
- Model the missing data of continuous independent variables
- Interpret results

Requirements:

1) Students must know how to model and interpret correlations and ordinary least square (OLS) regressions.
2) Know how to use the basic Stata functions, i.e., enter and save data, create variables, use command window, and do file.

Instructor: Eugenia Conde, PhD

Eugenia Conde, PhD, is a Statistical Consultant at The H. W. Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. She provides consultations to students and faculty on research methods and statistics. Her PhD is in sociology with a concentration in demography and medical sociology. In addition, she holds an MSPH in epidemiology. Before working at the Odum Institute, she worked at Rutgers University and at Duke University as a statistical consultant for graduate students and as a statistician for researchers from different disciplines, including political science, economics, psychology, sociology, and public health.

Registration Fees
- $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)

Additional Course Registration
- Registration will close at 12:01 am on 10/14/2022. Once registration closes, no late registrations will be accepted, no exceptions.
- Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
- For questions regarding the status of this class, please contact Jill Stevens at This email address is being protected from spambots. You need JavaScript enabled to view it..

Register

Disinformation, Cyberthreat and Choice, Protecting Patients and Clinical Research from the Digital Triple Threat

This NIH Collaboratory Rethinking Clinical Trials Grand Rounds features:

Eric Perakslis, PhD
Chief Science & Digital Officer
Duke Clinical Research Institute
Professor, Department of Population Health Sciences
Chief Research Technology Strategist
Duke University School of Medicine

Andrea Downing
ePatient and Security Researcher
Co-Founder – The Light Collective

Learn More