Analysis of NCES Education Survey and Assessment Data

The EdSurvey package uses appropriate methods for analyzing NCES datasets with a small memory footprint. Existing system control files, included with the data, are used to read in and format the data for further processing.

Details

To get started using EdSurvey, see the vignettes for tutorials and the statistical methodologies. Use vignette("introduction", package="EdSurvey") to see the vignettes.

The package provides functions called readNAEP, readCivEDICCS, readICILS, readPIAAC, readPIRLS, read_ePIRLS, readPISA, readTALIS, readTIMSS, readTIMSSAdv, and readECLS_K2011 to read in NCES datasets. The functions achievementLevels, cor.sdf, edsurveyTable, summary2, lm.sdf, logit.sdf, mixed.sdf, rq.sdf, percentile, and gap can then be used to analyze data. For advanced users, getData extracts the data of interest as a data frame for further processing.

See also

Useful links:

• https://www.air.org/project/nces-data-r-project-edsurvey

• Report bugs at https://github.com/American-Institutes-for-Research/EdSurvey/issues

Author

Maintainer: Paul Bailey pbailey@air.org (ORCID)

Authors:

• Ahmad Emad

• Huade Huo (ORCID)

• Michael Lee (ORCID)

• Yuqi Liao (ORCID)

• Alex Lishinski (ORCID)

• Trang Nguyen (ORCID)

• Qingshu Xie

• Jiao Yu

• Ting Zhang (ORCID)

• Eric Buehler (ORCID)

• Sun-joo Lee

• Blue Webb (ORCID)

• Thomas Fink (ORCID)

• Sinan Yavuz (ORCID)

Other contributors:

• Emmanuel Sikali Emmanuel.Sikali@ed.gov [project director]

• Claire Kelley [contributor]

• Jeppe Bundsgaard [contributor]

• Ren C'deBaca [contributor]

• Anders Astrup Christensen [contributor]