Explore resources that describe the NSECE sample design, data collection methods, and more
This webinar outlines and demonstrates a five-step process for the comparison of characteristics of the workforce between home-based and center-based care providers surveyed in the 2019 NSECE. The examples used in this demonstration compare the levels of education and years of…
This webinar outlines and demonstrates a suggested strategy for reducing bias when comparing subgroups as part of an analysis of 2019 NSECE data. The presenters describe specific complexities of NSECE data and statistical analysis tools used to reduce complexity-related bias. The…
We study the effects of differentially private (DP) noise injection techniques in a survey data setting, using the release of cost of early care and education estimates from the National Survey of Early Care and Education as a motivating example. As an example of how DP noise injection affects…
The goal of this methodological study is to evaluate the efficacy of an innovative approach to create a proxy indicator of immigrant generation for school districts to use when data on immigrant generation or parent birthplace are unavailable. While the use of child birthplace explains whether a…
Making comparisons between the variables as measured in the 2012 and 2019 National Surveys of Early Care and Education presents specific bias risks due to the fact that the two datasets are not longitudinal. This webinar provides a detailed strategy for researchers who are analyzing…
This guide is a tool for users of the 2019 National Survey of Early Care and Education (NSECE) workforce public-use data files. NSECE sample design and data collection methods are summarized, along with documentation and data file conventions. It includes guidance on analyzing workforce survey…
This manual and codebook has been developed as a companion to the 2019 NSECE Center-based Quick Tabulation Data File. Section 1.A provides additional detail on the center-based survey and the study’s sampling methods. This manual has been designed to introduce users to the NSECE and the data…
The Getting To Know the 2019 National Survey of Early Care and Education (NSECE) webinar provides an overview of this survey, including its sample design, questionnaire content (…
This PowerPoint presentation accompanies a 45-minute webinar that features two guest research teams. Marcy Whitebook and Bethany Edwards from The Center for the Study of Child Care Employment (CSCCE) at the University of California, Berkeley present findings from "California's ECE Workforce:…
For most data quality assessments, we wish to determine the suitability of the data for a particular substantive analysis. In this study, we had three objectives for data quality assessment: 1) What can we learn about bias or other error in the survey process for gathering NSECE data? This…