Assessing comparability of available data on characteristics of the science, technology, engineering, and mathematics workforce: Canada, United Kingdom, and United States

Printer-friendly versionPrinter-friendly version

Image of VITAL Repository Object ngv:51655

Permanent URL for this page: http://hdl.voced.edu.au/10707/211914.


Author: Lee, Marlene A.; Mossaad, Nadwa

Abstract:

Data on the characteristics of science, technology, engineering, and mathematics (STEM) workers are available from a variety of national surveys and administrative data including labor force surveys, population censuses or annual population surveys, and official immigration data. The factors that reduce data comparability can usually be grouped into three general categories: (1) the original purpose for which the data were collected; (2) factors related to the analytical methods used such as the definition of occupational or industry grouping; and (3) factors related to data collection; for example, whether data collection is part of an administrative process. In order to increase understanding of the current and future global supply of human resources in STEM fields, there needs to be greater cross-national comparability of data. This project investigates the feasibility of obtaining comparable estimates from existing national and international data sources and the extent to which relatively standard methods, such as interpolation, may be used to formulate comparable indicators from existing data sources. The scope of the project is limited to three countries, Canada, the United Kingdom, and the United States.

Excerpts from publication.

  [-] Show less

Data on the characteristics of science, technology, engineering, and mathematics (STEM) workers are available from a variety of national surveys and administrative data including labor force surveys, population censuses or annual population surveys, and official immigration data. The factors that reduce data comparability can usually be grouped into three general categories: (1) the original purpose for which the data were collected; (2) factors related to the analytical methods used such as the definition of occupational or industry grouping; and (3) factors related to data collection; ...  [+] Show more

Subjects: Research; Statistics; Labour market

Keywords: Data collecting; Statistical data; Comparative analysis; Feasibility study; Labour force; Labour supply; Labour demand

Geographic subjects: Canada; Great Britain; United States; Europe; North America

Published: Washington, District of Columbia: Population Reference Bureau, 2010

Physical description: 38 p.

Access item:
http://www.prb.org/pdf10/comparability-stem.pdf

Resource type: Report

Call Number:
TD/TNC 108.1213



NCVER Author-Date style

 
Citation only
Full record
End Note
Plain Text
Rich Text
MS Word
 
 

 

Download