DOI: 10.3886/e234761
title: National Training, Education, and Workforce Survey (NTEWS), United States, 2022

description: Pilot microdata and related instructions from the National Training, Education, and Workforce Survey (NTEWS) are provided in the files below. The administration of the 2022 NTEWS Pilot is the first cycle of the survey.<br><br>The NTEWS is in a pilot phase. Survey methods including data collection and post-collection processing are being evaluated, and comprehensive quality measures are not available. These 2022 NTEWS Pilot microdata files are designated as an experimental statistical product. National Center for Science and Engineering Statistics (NCSES) experimental statistical products are created to benefit users in the absence of other relevant information and are developed using innovative and exploratory methodologies. These files are published to engage data users and other stakeholders in the survey’s development to improve quality for future iterations of the survey. Experimental statistical products may not meet some of NCSES’s quality standards and, as a result, users should assess the utility limitations of these experimental statistics relative to the intended use. More information about the NCSES quality standards is available on the NCSES quality and transparency page.<br><br>All data files are provided as compressed .zip files. Use an archive utility program that supports the .zip format to uncompress the files you download to your computer.
description: Estimation techniquesNTEWS Pilot estimates are weighted sums of reported and imputed data. The weights are calculated to account for the following:Differential sampling ratesAdjustments for nonresponseTrimming of extreme weightsAdjustments to align the sample distribution with population controlsOverlap procedures to convert weights that reflect the population of the frame (2018 ACS) into a final sample weight that reflects the 2022 NTEWS Pilot target populationThe weights enable data users to derive survey-based estimates of the NTEWS Pilot target population.
description: Response Rates: Mode. About 57% of respondents completed the survey by Web, 33% by mail, 8% by CATI, and 2% by TQA. Of those who completed by Web, 65% were on a computer, 32% were on a smartphone, and 3% were on a tablet.Each of the three modes of data collection (Web, mail, or CATI) was also translated into Spanish for sample persons to use while responding. About 15% of all CATI responses were conducted in Spanish, 7% of all mail responses used the Spanish questionnaire, and 3% of all web responses used at least one Spanish question screen.Response rates. Response rates were calculated on complete responses from instruments. To be considered a complete response, the following critical items must have been answered.Working for pay or profitLooking for workThe name of the main job or the description of the main jobEducational attainmentCurrent high school enrollmentBirthdate (to determine age)Living in the U.S.The unweighted and weighted response rates adjusted for estimated ineligible individuals for 2022 NTEWS Pilot were 39% and 44%, respectively. Of the roughly 43,000 sample persons, approximately 15,500 completed the survey.
description: Sampling frameThe NTEWS Pilot uses a stratified sampling design that draws its sample from the ACS. The 2022 NTEWS Pilot draws its sample cases from the 2018 ACS, rather than the 2020 ACS, because of possible coverage errors resulting from the coronavirus pandemic.Sample designThe NTEWS Pilot selects its sample from the final sampling frame using a stratified probability proportional to size systematic sample. Using this process, the probability of a person being selected into the sample varies with the person’s measure of size. The measure of size was defined as a person’s Name-and-Address adjusted weight, which is the final ACS simplified person-level weight adjusted for recent immigration undercoverage and the removal of cases with incorrect contact information (e.g., bad names or incomplete addresses) from the preliminary sampling frame. Thus, a person with a higher Name-and-Address adjusted weight will have a higher probability of being selected into the sample. The stratification cells are defined by the following variables:Educational attainmentSexUnderrepresented minority statusScience, technology, engineering, and mathematics (STEM) workforce occupation status
description: Smallest Geographic Unit: United States
description: computer-assisted telephone interview (CATI); mail questionnaire; web-based survey;