Build Your Own NSECE Calendar Variable A virtual training series every Wednesday from January 11 - February 1, 2017

Join us for a virtual data training series sponsored by Child Care & Early Education Research Connections to build your own child- or household-level calendar-based variable using the National Survey of Early Care and Education (NSECE) Household Survey! Training will be provided by NSECE project staff using a web-based learning platform and video conferencing. Collaborative sessions will take place on Wednesdays from January 11-February 1, 2017, with participants completing additional work on their own. Instructions and sample code will be provided in both SAS and Stata.

NSECE Household Calendar Data feature nationally representative data of the prior week’s parental employment and children’s time in non-parental care in 15-minute increments and cover 11,629 households across the US with children under age 13. These data can help answer questions such as:

  1. What type of care do parents use for their children when working nonstandard hours such as evenings or weekends?
  2. How often do children experience more than one child care provider in a day, and what are the characteristics of those children?
  3. What type of care do parents use for different children in the household?

The calendar data are simple but extensive, and can be integrated with other Household Survey variables in a variety of ways.

This series is free, but space is limited. Researchers interested in using the NSECE to answer policy relevant questions in early care and education are encouraged to apply. Participation in sessions and programming experience in statistical packages such as SAS or Stata will be critical to completing course goals.We also encourage you to look at the NSECE Household Survey User's Guide (PDF; the Calendar information starts on page 5-176) to familiarize yourself with this dataset.

Application details

Training Sessions: Jan. 11, 18, 25, Feb. 1; 1-2:30 ET (12-1:30 CT; 11-12:30 MT; 10-11:30 PT)

Application Deadline: Wednesday, December 21, 2016

Application Materials: 1) Vita; 2) Brief description of interest, including proficiency with SAS or Stata; and confirmation of your ability to attend all session times. If there is a particular research question or variable you’re interested in working on, please let us know!

Application Address:

Acceptance Notification: Acceptance will be on a rolling basis from now until January 5, 2017.

Created By
Jenna Tyson


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