Nsfs 383 May 2026

For the uninitiated, "NSFS" stands for (an older classification), and "383" refers to the specific wave or restricted-use data license governing the 2019–2021 biennial cycle. This article unpacks everything you need to know about NSFS 383, from its methodology to its unique variables and how to access the data. The Genesis: Why NSFS 383 Was Created The NSF created the SDR to answer one pressing question: What happens to PhDs after graduation? Prior to NSFS 383, data on doctorate recipients was fragmented across university exit surveys and census data, which lacked granularity.

Introduction: What is NSFS 383? In the world of federal statistical research, few datasets carry as much weight as the National Survey of College Graduates (NSCG) . However, for researchers focused specifically on the workforce outcomes of doctorate holders, the alphanumeric code NSFS 383 represents a critical touchpoint. While often confused with general NSF surveys, NSFS 383 refers to a specific historical cycle and data extraction protocol related to the Survey of Doctorate Recipients (SDR) . nsfs 383

The National Science Foundation (NSF), through its National Center for Science and Engineering Statistics (NCSES), has long tracked the careers of individuals with doctoral degrees. NSFS 383 is instrumental in longitudinal studies examining employment, salary, and retention in science and engineering fields. For the uninitiated, "NSFS" stands for (an older

| Survey | Acronym | Focus | Sample | | :--- | :--- | :--- | :--- | | | SDR | Doctorate holders only | 160,000 | | NSCG | National Survey of College Graduates | Bachelor's + | 120,000 | | SESTAT (discontinued) | Scientists and Engineers Statistical Data System | Integrated (BA to PhD) | Variable | | NCES SED | Survey of Earned Doctorates | New PhDs only (graduation year) | 55,000/year | Prior to NSFS 383, data on doctorate recipients

For early-career researchers: start with the public-use file to develop your models. Once your manuscript is ready for submission to a top-tier journal (e.g., Science , Nature Biotechnology , or American Sociological Review ), apply for the restricted-use NSFS 383 file to add geographic and high-resolution salary controls.

Unlike the , which captures intent at graduation, NSFS 383 captures realized outcomes 2, 5, and 10 years later. How to Clean and Weight NSFS 383 Data in R/Stata Here is a practical code snippet for users working with the public-use NSFS 383 file in R.