Events
Monthly Office Hours
"LeaRn With NDACAN"
The 2024-2025 Office Hours series will feature live 30-minute courses on teaching data users to code in the R programming software, followed by 30-minutes of open support time and breakout groups. Each 30-minute R course will feature instruction and live coding, include a handout covering the core concepts and codes of the lesson, and be accompanied by an assignment for participants to complete between sessions to practice the skills taught in the course. The sample dataset used in the course and for the assignments is available at the course files link below. The workshops will be recorded and turned into a webinar series on the NDACAN website. The workshops will build on each other, and videos will be made available within one week of the workshop so that participants who miss a session can watch before the next live session. The course will be free and requires advanced registration. We hope that you'll join us for this special Office Hours series and LeaRn to code R with NDACAN!
Special Office Hours Series Schedule (Eastern Time)
"LeaRN with NDACAN" course from 11AM - 11:30AM
Open Support from 11:30AM - 12PM
- September 20: Introduction to R
- October 18: "Tidyverse" Functions
- November 15: Basic Data Management
- January 17: Linking Multiple Years
- February 21: Descriptive Statistics
- March 21: Data Visualization
- April 18: Introduction to Regression
- May 16: Introduction to Advanced Modeling
Registration link for the LeaRn With NDACAN Special Office Hours Series:
https://cornell.zoom.us/meeting/register/tJUtce-rrjguE9Xx7Xk-ggIfD6Rxe-Jf7hwc
Link to 'LeaRn with NDACAN' R course files:
https://cornell.box.com/v/LeaRn-with-R-NDACAN-2024-2025
Summer Training Series
The 2024 NDACAN Summer Training Series, "Best practices in the use of NDACAN data" is complete. Presentations focused on the unique strengths and limitations of NDACAN data, common issues in their use, and general approaches to support rigorous analyses. The Summer Training Series helps participants advance research projects using our data and increases the impact of such work. Please join the CMRL list serve or follow us on 'X' (Twitter) to receive announcements about the next Summer Training Series.
2024 Summer Training Series List of Completed Presentations
- July 10th — NCANDS Strengths and Limitations
- Introduction: Cara Kelly, Ph.D., Children's Bureau - ACF
- Presenter: Sarah Sernaker, M.S., NDACAN, Duke University
- July 17th — Assessing Reporting Issues in NCANDS and AFCARS
- Presenter: Alexander F. Roehrkasse, Ph.D., Butler University
- July 24th — AFCARS Strengths and Limitations
- Presenter: Sarah Sernaker, M.S., NDACAN, Duke University
- July 31st — Survey Design and Using Weights
- Presenter: Sarah Sernaker, M.S., NDACAN, Duke University
- August 7th — Approaching NSCAW III for Experienced and New Users
- Presenters: Keith Smith, BS, RTI International, Marianne Kluckman, MPH, RTI International
- August 14th — NYTD Strengths and Limitations
- Presenters: Tammy White, Ph.D., Children's Bureau - ACF, and Sarah Sernaker, M.S., NDACAN, Duke University
Videos and Slides of Completed Summer Training Series:
- 2024: "Best Practices in the Use of NDACAN Data"
- 2023 Summer Training Series
- 2022: "The Power of Linking Administrative Data"
- 2021: "Data Strategies for the Study of Child Welfare"
- 2020: "New Horizons for Child Welfare Data"
- 2019: "Administrative Data For Secondary Analysis Using NDACAN"
- 2018: "Summer of NYTD" (listed in the User Support section for NYTD)
Summer Research Institute (SRI)
The SRI is NDACAN's annual on-line research workshop in which participants analyze Archive datasets over multiple days with close support and expertise provided by NDACAN professionals as-needed. The SRI also provides participating child abuse and neglect researchers an opportunity for networking and collaborating with each other. Please visit our Summer Research Institute page for more details. Please join our mailing list, the CMRL list serve or follow us on 'X' (Twitter) to receive announcements about the SRI.