Right to Education in Education Law (CRC 1342)
| Quick info | |
|---|---|
| Data type | Numeric |
| Scale | Metric |
| Value labels | Not applicable |
| Technical name | edu_right_law |
| Category | Education and training |
| Label | Index of the right to education as enshrined in education laws |
| Related indicators | |
This data indexes the right to education as enshrined in education laws. The indexcan be read ordinally for the values 1-5. Other values (98, 88 and 6) carry important information but do not fit the ordinal structure. Based on the original texts of the education laws listed in ILOs natlex database the index signifies the following state of the right to education:
- 1: Does not enshrine the right to education (no right mentioned)
- 2: Enshrines a right, but with limitations, which can be temporal (meant to achieve right in the future or limits due to state resources etc.), a guarantee or a principle -> i.e. an attempt at a right to education was made, but not fully implemented
- 3: Enshrines the right to education but only to a specific group (e.g. right to education only for citizens)
- 4: Enshrines a right to education with vague anti-discrimination (“all”, “everyone”, etc.), or mentions citizens only, but names groups regarding discrimination
- 5: Enshrines a right to education with concrete anti-discrimination based on sex/gender/race/religion, etc.
- 6: Enshrines a right only for minority groups (rights for persons with disabilities, rights for language and ethnical minorities)
- 98: anti-discrimination clause not mentioning the right to education
- 88: compulsory
Coding rules
Scope of indicator: For this indicator we take education laws published on the ILO natlex database into account. To ensure reliability the index was created based on the joint coding of two persons.
The coding procedure in detail was as follows:
- Reviewing the law on its actual relevance to the topic
- Search the relevant laws for keywords like right, citizen, women, girls, discrimination, free, compulsory, mandatory, every, etc.
- Two approaches were used for documents non-English laws:
- translate the law into English or German using Google Translator for document translation. Search the translated document for keywords, compile relevant passages, translate if necessary, and input them into the Excel spreadsheet.
- Download the law, translate keywords into the law's original language, and conduct a search. Translate and compile any relevant findings into English, then input into the Excel spreadsheet.
- Multiple entries per law are possible in the raw data. The uploaded index only shows the highest score per year.
- Two coders coded the index values apaprt from each other and discussed and combined their coding in cases of mismatch.
Bibliographic info
Citation: TBD
Related publications: TBD
Misc
Project manager(s): Helen Seitzer, Fabian Besche-Truthe
- Version 0.001: Initial release
Revisions: No revisions yet
Sources
Data stems from a variety of sources. The most common sources used are listed here. More information is provided in the dataset itself i.e. a dedicated link to every document used for coding.
