This dataset is part of the Global Learning Assessment Database (GLAD). It contains microdata from LLECE 2006. Each observation corresponds to one learner (student or pupil), and the variables have been harmonized.
Metadata stored in this dataset:
region: LAC
year: 2006
assessment: LLECE
master: v01_M
adaptation: wrk_A_GLAD
module: ALL
ttl_info: Joao Pedro de Azevedo [[email protected]]
dofile_info: last modified by Joao Pedro Azevedo in Feb 05, 2022
lastsave: 6 Feb 2022 10:15:30 by wb255520
About the 70 variables in this dataset:
The variables belong to the following variable classifications:
idvars keyvars valuevars traitvars sesvars samplevars
idvars: idcntry_raw idschool idgrade idlearner
keyvars: surveyid countrycode national_level
valuevars: score_llece_read score_llece_math score_llece_sci level_llece_read level_llece_math level_llece_sci
traitvars: age urban male qescs has_qescs
sesvars: ses qses escs qescs nescs qnescs nnescs qnnescs escs_compute homepos_std homepos paredu_std hiedu homepos_o paredu roomspc floor nbooks electricity water sewage phone cabletv internet tv radio soundsystem videorec dvdorvhs computer cellphone refrigerator stove microwave washer dryer dishwasher moto auto
Variable Obs Unique Mean Min Max Label
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
idcntry_raw 196040 17 11.07802 1 21 Country ID, as coded in rawdata
idschool 196040 231 90.7797 1 231 School ID
idgrade 196040 2 4.458192 3 6 Grade ID
idlearner 196040 196040 1.12e+09 1.00e+08 2.12e+09 Learner ID
surveyid 196040 1 . . . Survey ID (Region_Year_Assessment)
countrycode 196040 16 . . . WB country code (3 letters)
national_l~l 196040 2 .9452357 0 1 Idcntry_raw is a national level
score_llec~d 185091 329 511.3148 -48.33484 970.1854 Llece score for read
score_llec~h 187996 841 507.9794 -55.01115 1135.41 Llece score for math
score_llec~i 53979 337 508.8589 -68.76551 1188.77 Llece score for science
level_llec~d 185091 5 2.255518 0 4 Llece level for read
level_llec~h 187996 5 2.089656 0 4 Llece level for math
level_llec~i 53979 5 1.80535 0 4 Llece level for science
age 185879 44 10.57118 4 50 Learner age at time of assessment
urban 196040 2 .795251 0 1 School is located in urban/rural area
male 187018 2 .5031387 0 1 Learner gender is male/female
qescs 186462 5 3.278496 1 5 Quintiles of Socio-Economic Status
has_qescs 196040 2 .9511426 0 1 Dummy variable for observations with a valid QESCS
ses 163969 128370 .0823761 -2.769182 2.726717 SES (single-step IRT)
qses 163969 5 3.114699 1 5 Quintiles of SES
escs 186462 123696 -.0209971 -3.10078 2.428199 ESCS (original in GLAD v01)
qescs 186462 5 3.278496 1 5 Quintiles of Socio-Economic Status
nescs 163958 108424 .2361926 -3.11257 3.122844 New ESCS (IRT + PCA)
qnescs 163958 5 3.293789 1 5 Quintiles of New ESCS
nnescs 163644 114365 -.0986269 -3.294554 2.61709 NN ESCS (IRT + polychoricPCA)
qnnescs 163644 5 3.275335 1 5 Quintiles of NN ESCS
escs_compute 196040 3 1.650612 0 2 Computation of ESCS
homepos_std 163958 86185 .0876338 -2.711484 2.687616 Home possessions composite indicator (imp.std.)
homepos 163644 85876 .0816731 -2.528949 2.506605 Home possessions composite indicator
paredu_std 163958 5 .246393 -1.690355 1.728752 Parents' highest educational attainment (imp.std.)
hiedu 186462 7 4.095258 1 7 Parents' highest educational attainment
homepos_o 186462 102869 .2468049 -6.56064 6.164906 Scores for component 1
paredu 159942 5 3.276807 1 5 Parents' highest educational attainment
roomspc 130080 4 1.75 0 3 Rooms per household inhabitant
floor 158657 4 2.482494 1 4 Floor material
nbooks 160446 4 2.561179 1 4 Number of books at home
electricity 160563 2 .9513275 0 1 Home has electricity
water 156524 2 .8843117 0 1 Home is connected to public piped water
sewage 143271 2 .7060745 0 1 Home is connected to sewage system
phone 137984 2 .5618405 0 1 Telephone availability at home
cabletv 130358 2 .3711088 0 1 Cable / Satellite TV service at home
internet 120799 2 .1244547 0 1 Internet access at home
tv 156753 2 .8669053 0 1 Has a color TV at home
radio 149856 2 .8385383 0 1 Has a radio at home
soundsystem 141573 2 .5939056 0 1 Has a sound system at home
videorec 130316 2 .296157 0 1 Has a video recorder at home
dvdorvhs 136509 2 .476247 0 1 Has a DVD or VHS at home
computer 130256 2 .2831731 0 1 Has a computer at home
cellphone 146698 2 .711598 0 1 Has a cellphone at home
refrigerator 149397 2 .7778068 0 1 Has a refrigerator at home
stove 151440 2 .8385565 0 1 Has a gas/electric stove at home
microwave 131898 2 .3346146 0 1 Has a microwave at home
washer 140989 2 .5794849 0 1 Has a washer machine at home
dryer 127438 2 .1973587 0 1 Has a dryer machine at home
dishwasher 124813 2 .0928189 0 1 Has a dishwasher at home
moto 125244 2 .1450209 0 1 Has a moto at home
auto 130246 2 .3070804 0 1 Has an auto at home
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Plus the variables merged-on-the-fly, which are:
traitvars: lp01_threshold_var lp01_threshold_val lp01_threshold_res
valuevars: sdg411_read bmp_read fgt1_read fgt2_read
About the 196,040 observations in this dataset:
. tab countrycode idgrade if national_level==1
WB country |
code (3 | Grade ID
letters) | 3 6 | Total
-----------+----------------------+----------
ARG | 6,663 6,595 | 13,258
BRA | 5,711 5,422 | 11,133
CHL | 6,136 6,912 | 13,048
COL | 5,902 6,026 | 11,928
CRI | 5,233 4,703 | 9,936
CUB | 5,293 5,902 | 11,195
DOM | 4,554 4,618 | 9,172
ECU | 5,349 5,376 | 10,725
GTM | 7,095 5,365 | 12,460
MEX | 4,753 4,825 | 9,578
NIC | 6,885 6,741 | 13,626
PAN | 6,476 5,608 | 12,084
PER | 4,814 4,662 | 9,476
PRY | 5,506 4,777 | 10,283
SLV | 7,474 6,342 | 13,816
URY | 7,209 6,377 | 13,586
-----------+----------------------+----------
Total | 95,053 90,251 | 185,304
.
. tab countrycode idgrade if national_level==0
WB country |
code (3 | Grade ID
letters) | 3 6 | Total
-----------+----------------------+----------
MEX | 5,699 5,037 | 10,736
-----------+----------------------+----------
Total | 5,699 5,037 | 10,736
Harmonization of proficiency (done on-the-fly):
sdg411_read | Freq. Percent Cum.
---------------------+-----------------------------------
Non-proficient | 48,825 24.91 24.91
Proficient | 41,646 21.24 46.15
Missing score/level | 4,817 2.46 48.61
Non-harmonized grade | 100,752 51.39 100.00
---------------------+-----------------------------------
Total | 196,040 100.00
bmp_read | Freq. Percent Cum.
---------------------+-----------------------------------
Proficient | 41,646 21.24 21.24
Non-proficient | 48,825 24.91 46.15
Non-harmonized grade | 105,569 53.85 100.00
---------------------+-----------------------------------
Total | 196,040 100.00
Variable | Obs Mean Std. dev. Min Max
-------------+---------------------------------------------------------
fgt1_read | 48,825 .1503129 .1116938 .0003553 1.094099
Variable | Obs Mean Std. dev. Min Max
-------------+---------------------------------------------------------
fgt2_read | 48,825 .0350692 .0570742 1.26e-07 1.197052
+--------------------------------------------------------+
| idgrade prefix harmonization_condition |
|--------------------------------------------------------|
1. | 3 lp01 no harmonization |
2. | 6 lp01 read = (score_llece_read >= 513.66) |
+--------------------------------------------------------+