back to the README ↩️
This page list the harmonized variable names that will be used in all GLADs regardless of which assessment, year or country the data comes from. The first table has the variables that are included in all data sets. The second table includes variable names we have harmonized but exist only in some data sets.
| varname | varclass | varlabel | vartype | note |
|---|---|---|---|---|
| surveyid | key | SurveyID (Region_Year_Assessment) | String | |
| countrycode | key | WB country code (3 letters) | String | (a) |
| national_level | key | Idcntry_raw is a national level | Indicator (1=National) | (a) |
| idcntry_raw | id | Country ID, as coded in rawdata | Numerical or String | (b) |
| idschool | id | School ID | Numerical | |
| idgrade | id | Grade ID | Numerical | |
| idclass | id | Class ID | Numerical | (c) |
| idlearner | id | Learner ID | Numerical | |
| score_[assessment]_[subject]_[pv] | value | [Plausible value pv:] assessment score for subject | Numerical | |
| level_[assessment]_[subject]_[pv] | value | [Plausible value pv:] assessment level for subject | Categorical | |
| age | trait | Learner age at time of assessment | Numerical | |
| urban | trait | School is located in urban/rural area | Indicator (1=Urban) | |
| male | trait | Learner gender is male/female | Indicator (1=Male) | |
| escs | trait | Learner socio-economic status (Purposefully not labeled yet) | Numerical | |
| learner_weight | sample | Total learner weight | Numerical |
Notes:
For all assessment-years, the id variables (idcntry_raw, idschool, idgrade, idclass, idlearner) compose a unique id.
(a) The full correspondence of countrycode, national_level and idcntry_raw is found in the master countrycode list. Some examples:
- in LLECE 1997 the countrycode MEX is linked to both the sample from the country Mexico (idcntry_raw = 21) and for the sample from the subnational unit of Nueva Leon (idntry_raw = 11). However, the first is considered national_level of 1, while the later is national_level of 0. That means that both samples are found in the GLAD module ALL, but the module CLO for Mexico is calculated using only the first sample, discarding the later.
- in PIRLS 2001 the countrycode GBR is linked to both the samples from England (idcntry_raw = 926) and Scotland (idcntry_raw = 927) and both are considered national_level of 1. That means that both samples are found in the GLAD module ALL and the module CLO for United Kingdom is calculated pooling both samples without distinction.
(b) The variable idcntry_raw is preserved as found in the raw data. Most assesment-years have it as a numerical variable. The only exception so far is PASEC 1996, for which this variable is a string.
(c) Some assessment-years may not have the variable idclass.
Though the variable learner_weight exist in all assessments, other sample-related variables vary across assessments.
| varname | value | varlabel | vartype | note |
|---|---|---|---|---|
| year | key | Year of assessment | Date | PASEC, EGRA only (when multi-year bundles) |
| urban_o* | trait | Original variable of urban | Categorical | PIRLS, TIMSS, SACMEQ only (whenever available) |
| learner_weight_subject* | sample | Total learner weight for specific subject | Numerical | LLECE only |
| strata* | sample | Strata | Numerical | LLECE, PASEC only |
| jkzone | sample | Jackknife zone | Numerical | PIRLS, TIMSS, PASEC 2014 only |
| jkrep | sample | Jackknife replicate code | Numerical | PIRLS, TIMSS, PASEC 2014 only |
| weight_replicate* | sample | Replicate weight # | Numerical | PASEC 2014 only |
Though the variable learner_weight exist in all assessments, other sample-related variables vary across assessments.
| varname | value | varlabel | vartype | note |
|---|---|---|---|---|
| year | key | Year of assessment | Date | PASEC, EGRA only (when multi-year bundles) |
| urban_o* | trait | Original variable of urban | Categorical | PIRLS, TIMSS, SACMEQ only (whenever available) |
| learner_weight_subject* | sample | Total learner weight for specific subject | Numerical | LLECE only |
| strata* | sample | Strata | Numerical | LLECE, PASEC only |
| jkzone | sample | Jackknife zone | Numerical | PIRLS, TIMSS, PASEC 2014 only |
| jkrep | sample | Jackknife replicate code | Numerical | PIRLS, TIMSS, PASEC 2014 only |
| weight_replicate* | sample | Replicate weight # | Numerical | PASEC 2014 only |