https://github.com/jbryer/pisa

R package containing data and utility functions for the 2009 Programme for International Student Assessment.
https://github.com/jbryer/pisa

Last synced: about 2 months ago
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R package containing data and utility functions for the 2009 Programme for International Student Assessment.

• Host: GitHub
• URL: https://github.com/jbryer/pisa
• Owner: jbryer
• Created: 2012-02-09T21:05:14.000Z (almost 13 years ago)
• Default Branch: master
• Last Pushed: 2013-02-16T01:33:44.000Z (almost 12 years ago)
• Last Synced: 2023-03-12T10:55:31.223Z (almost 2 years ago)
• Language: R
• Size: 72.5 MB
• Stars: 13
• Watchers: 2
• Forks: 5
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
### Programme for International Student Assessment (PISA)

The [Programme for International Student Assessment](http://www.pisa.oecd.org) (PISA) is an international study conducted by the Organization for Economic Co-operation and Development. This R package provides R friendly versions of the following four data sets:

* Student results which include the student background questionnaire as well as the outcomes of the math, science, and reading assessments (`data(pisa.student)`)

* School results from the school questionnaire (`data(pisa.school)`)

* Parent results from the parent questionnaire (`data(pisa.parent)`)

* The detailed item results from the cognitive assessments (`data(pisa.items)`)

Here are some useful resources for getting started with PISA:

* [PISA 2009 at a Glance](http://www.oecd.org/dataoecd/31/28/46660259.pdf)

* [What PISA Assess](http://www.pisa.oecd.org/pages/0,3417,en_32252351_32235918_1_1_1_1_1,00.html)

* [PISA Database and Codebook Access](http://pisa2009.acer.edu.au/downloads.php)

The OECD allows for redistribution of their data as indicated in the [Product License](http://www.pisa.oecd.org/dataoecd/59/50/47307726.pdf) (this license is also included in the `inst` directory of the package). Please read and adhere to this license. This R package is provided as-is but every effort has been made to ensure that the quality of the included datasets are equivalent to that provided by OECD. The R data files were created from the original data files with the SPSS syntax files for proper data conversions.