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00_documentation/eap_2019_sea-plm_v01_m_wrk_a_glad_clo.md
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,152 @@ | ||
| Documentation of CLO dataset | ||
| ===================================================================== | ||
|
|
||
|
|
||
| [back to list of assessments](https://github.com/worldbank/GLAD/blob/master/README.md#indicators) | ||
|
|
||
| This dataset contains harmonized aggregated data from SEA-PLM 2019 and is part of the Country Level Outcomes (CLO) | ||
|
|
||
| **Metadata** stored in this dataset: | ||
|
|
||
| ~~~~ | ||
| region: EAP | ||
| year: 2019 | ||
| assessment: SEA-PLM | ||
| master: v01_M | ||
| adaptation: wrk_A_GLAD | ||
| module: CLO | ||
| ttl_info: Joao Pedro de Azevedo [eduanalytics@worldbank.org] | ||
| dofile_info: last modified by Diana Goldemberg in March 9, 2020 | ||
| lastsave: 19 Jun 2021 20:37:59 by wb576985 | ||
| ~~~~ | ||
|
|
||
|
|
||
| About the **67 variables** in this dataset: | ||
|
|
||
| ~~~~ | ||
| The variables belong to the following variable classifications: | ||
| idvars valuevars traitvars | ||
| idvars: assessment year countrycode idgrade subgroup | ||
| valuevars: n_score_seaplm_read m_score_seaplm_read se_score_seaplm_read n_score_seaplm_write m_score_seaplm_write se_score_seaplm_write n_score_seaplm_math m_score_seaplm_math se_score_seaplm_math n_fgt1_read m_fgt1_read se_fgt1_read n_fgt1_math m_fgt1_math se_fgt1_math n_fgt2_read m_fgt2_read se_fgt2_read n_fgt2_math m_fgt2_math se_fgt2_math n_sdg411_read m_sdg411_read se_sdg411_read n_sdg411_math m_sdg411_math se_sdg411_math n_bmp_read m_bmp_read se_bmp_read n_bmp_math m_bmp_math se_bmp_math m_d1level_seaplm_read se_d1level_seaplm_read m_d2level_seaplm_read se_d2level_seaplm_read m_d3level_seaplm_read se_d3level_seaplm_read m_d4level_seaplm_read se_d4level_seaplm_read m_d5level_seaplm_read se_d5level_seaplm_read m_d1level_seaplm_math se_d1level_seaplm_math m_d2level_seaplm_math se_d2level_seaplm_math m_d3level_seaplm_math se_d3level_seaplm_math m_d4level_seaplm_math se_d4level_seaplm_math m_d5level_seaplm_math se_d5level_seaplm_math m_d6level_seaplm_math se_d6level_seaplm_math m_d7level_seaplm_math se_d7level_seaplm_math m_d8level_seaplm_math se_d8level_seaplm_math | ||
| traitvars: n_total n_male n_urban | ||
| . codebook, compact | ||
| Variable Obs Unique Mean Min Max Label | ||
| ----------------------------------------------------------------------------------------------------------------------------------- | ||
| assessment 78 1 . . . Assessment | ||
| year 78 1 2019 2019 2019 Year of assessment | ||
| countrycode 78 6 . . . Country ID, as coded in rawdata | ||
| idgrade 78 1 5 5 5 Grade ID | ||
| subgroup 78 13 . . . Subgroups of countrycode idgrade | ||
| n_score_se~d 30 30 3119.967 1267 6083 Number of observations used to calculate m_score_seaplm_read | ||
| m_score_se~d 30 30 300.0587 272.8762 341.0415 Mean of score_seaplm_read | ||
| se_score_s~d 30 30 .2917983 .2030114 .4833522 Standard error of m_score_seaplm_read | ||
| n_score_se~e 30 30 3119.967 1267 6083 Number of observations used to calculate m_score_seaplm_write | ||
| m_score_se~e 30 30 300.1096 278.7161 332.886 Mean of score_seaplm_write | ||
| se_score_s~e 30 30 .3461993 .2581254 .5086847 Standard error of m_score_seaplm_write | ||
| n_score_se~h 30 30 3119.967 1267 6083 Number of observations used to calculate m_score_seaplm_math | ||
| m_score_se~h 30 30 300.03 275.8601 344.782 Mean of score_seaplm_math | ||
| se_score_s~h 30 30 .2765994 .1782952 .5492976 Standard error of m_score_seaplm_math | ||
| n_fgt1_read 30 30 2250.067 276 5531 Number of observations used to calculate m_fgt1_read | ||
| m_fgt1_read 30 30 .0896713 .0369173 .1424656 Mean of fgt1_read | ||
| se_fgt1_read 30 30 .000969 .0004674 .0018838 Standard error of m_fgt1_read | ||
| n_fgt1_math 30 30 2051.667 129 5051 Number of observations used to calculate m_fgt1_math | ||
| m_fgt1_math 30 30 .0742203 .036222 .1130885 Mean of fgt1_math | ||
| se_fgt1_math 30 30 .0011842 .0004096 .003211 Standard error of m_fgt1_math | ||
| n_fgt2_read 30 30 2250.067 276 5531 Number of observations used to calculate m_fgt2_read | ||
| m_fgt2_read 30 30 .011737 .0024798 .0239029 Mean of fgt2_read | ||
| se_fgt2_read 30 30 .000204 .0001095 .0003194 Standard error of m_fgt2_read | ||
| n_fgt2_math 30 30 2051.667 129 5051 Number of observations used to calculate m_fgt2_math | ||
| m_fgt2_math 30 30 .0082417 .0023377 .016099 Mean of fgt2_math | ||
| se_fgt2_math 30 30 .0002028 .0000844 .0004049 Standard error of m_fgt2_math | ||
| n_sdg411_r~d 30 30 3119.967 1267 6083 Number of observations used to calculate m_sdg411_read | ||
| m_sdg411_r~d 30 30 .2896224 .019591 .8698202 Mean of sdg411_read | ||
| se_sdg411_~d 30 30 .0050198 .0015262 .010824 Standard error of m_sdg411_read | ||
| n_sdg411_m~h 30 30 3119.967 1267 6083 Number of observations used to calculate m_sdg411_math | ||
| m_sdg411_m~h 30 30 .3523532 .0612166 .9392825 Mean of sdg411_math | ||
| se_sdg411_~h 30 30 .0056707 .0023961 .0136926 Standard error of m_sdg411_math | ||
| n_bmp_read 30 30 3119.967 1267 6083 Number of observations used to calculate m_bmp_read | ||
| m_bmp_read 30 30 .7103776 .1301798 .980409 Mean of bmp_read | ||
| se_bmp_read 30 30 .0050198 .0015262 .010824 Standard error of m_bmp_read | ||
| n_bmp_math 30 30 3119.967 1267 6083 Number of observations used to calculate m_bmp_math | ||
| m_bmp_math 30 30 .6476468 .0607175 .9387833 Mean of bmp_math | ||
| se_bmp_math 30 30 .0056707 .0023961 .0136926 Standard error of m_bmp_math | ||
| m_d1level_~d 30 30 .2061424 .0019044 .5398861 Mean of d1level_seaplm_read | ||
| se_d1level~d 30 30 .0058494 .0008185 .0195665 Standard error of m_d1level_seaplm_read | ||
| m_d2level_~d 30 30 .1897009 .0079493 .3083667 Mean of d2level_seaplm_read | ||
| se_d2level~d 30 30 .0072154 .0015395 .0157434 Standard error of m_d2level_seaplm_read | ||
| m_d3level_~d 30 30 .1806952 .0359352 .2928436 Mean of d3level_seaplm_read | ||
| se_d3level~d 30 30 .0057595 .002473 .0104912 Standard error of m_d3level_seaplm_read | ||
| m_d4level_~d 30 30 .133839 .0519431 .202246 Mean of d4level_seaplm_read | ||
| se_d4level~d 30 30 .0060752 .0021727 .0099555 Standard error of m_d4level_seaplm_read | ||
| m_d5level_~d 30 30 .2896224 .019591 .8698202 Mean of d5level_seaplm_read | ||
| se_d5level~d 30 30 .0050198 .0015262 .010824 Standard error of m_d5level_seaplm_read | ||
| m_d1level_~h 30 30 .1372178 .0013756 .3744887 Mean of d1level_seaplm_math | ||
| se_d1level~h 30 30 .005108 .0007507 .0137206 Standard error of m_d1level_seaplm_math | ||
| m_d2level_~h 30 30 .1609428 .0043552 .2605787 Mean of d2level_seaplm_math | ||
| se_d2level~h 30 30 .005479 .0007067 .0122109 Standard error of m_d2level_seaplm_math | ||
| m_d3level_~h 30 30 .1864896 .0145897 .2995691 Mean of d3level_seaplm_math | ||
| se_d3level~h 30 30 .0068159 .0014565 .0152835 Standard error of m_d3level_seaplm_math | ||
| m_d4level_~h 30 30 .1629966 .040397 .2397997 Mean of d4level_seaplm_math | ||
| se_d4level~h 30 30 .0064617 .0030565 .0131995 Standard error of m_d4level_seaplm_math | ||
| m_d5level_~h 30 30 .1235913 .0444497 .2563181 Mean of d5level_seaplm_math | ||
| se_d5level~h 30 30 .0061526 .0019577 .0150241 Standard error of m_d5level_seaplm_math | ||
| m_d6level_~h 30 30 .0874162 .0147741 .2245923 Mean of d6level_seaplm_math | ||
| se_d6level~h 30 30 .0051135 .0009696 .0134997 Standard error of m_d6level_seaplm_math | ||
| m_d7level_~h 30 30 .0606355 .0016324 .2163968 Mean of d7level_seaplm_math | ||
| se_d7level~h 30 30 .0041669 .0005887 .0166227 Standard error of m_d7level_seaplm_math | ||
| m_d8level_~h 30 30 .0807102 .0000671 .4685578 Mean of d8level_seaplm_math | ||
| se_d8level~h 30 30 .0022137 .0001334 .0101443 Standard error of m_d8level_seaplm_math | ||
| n_total 78 6 5200 4479 6083 # learners, by countrycode idgrade | ||
| n_male 78 6 2633.167 2196 3071 # male learners, by countrycode idgrade | ||
| n_urban 78 6 2781.833 1436 3854 # urban learners, by countrycode idgrade | ||
| ----------------------------------------------------------------------------------------------------------------------------------- | ||
| ~~~~ | ||
|
|
||
| About the **78 observations** in this dataset: | ||
|
|
||
| ~~~~ | ||
| . tab countrycode idgrade | ||
| Country | | ||
| ID, as | | ||
| coded in | Grade ID | ||
| rawdata | 5 | Total | ||
| -----------+-----------+---------- | ||
| KHM | 13 | 13 | ||
| LAO | 13 | 13 | ||
| MMR | 13 | 13 | ||
| MYS | 13 | 13 | ||
| PHL | 13 | 13 | ||
| VNM | 13 | 13 | ||
| -----------+-----------+---------- | ||
| Total | 78 | 78 | ||
| . | ||
| . tab subgroup | ||
| Subgroups | | ||
| of | | ||
| countrycode | | ||
| idgrade | Freq. Percent Cum. | ||
| ------------+----------------------------------- | ||
| all | 6 7.69 7.69 | ||
| male=0 | 6 7.69 15.38 | ||
| male=1 | 6 7.69 23.08 | ||
| male=2 | 6 7.69 30.77 | ||
| male=3 | 6 7.69 38.46 | ||
| male=4 | 6 7.69 46.15 | ||
| male=5 | 6 7.69 53.85 | ||
| urban=0 | 6 7.69 61.54 | ||
| urban=1 | 6 7.69 69.23 | ||
| urban=2 | 6 7.69 76.92 | ||
| urban=3 | 6 7.69 84.62 | ||
| urban=4 | 6 7.69 92.31 | ||
| urban=5 | 6 7.69 100.00 | ||
| ------------+----------------------------------- | ||
| Total | 78 100.00 | ||
| ~~~~ |
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00_documentation/eap_2019_sea-plm_v01_m_wrk_a_glad_escs.md
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,166 @@ | ||
| Documentation of CLO dataset | ||
| ===================================================================== | ||
|
|
||
|
|
||
| [back to list of assessments](https://github.com/worldbank/GLAD/blob/master/README.md#indicators) | ||
|
|
||
| This dataset contains harmonized aggregated data from SEA-PLM 2019 and is part of the Country Level Outcomes (CLO) | ||
|
|
||
| **Metadata** stored in this dataset: | ||
|
|
||
| ~~~~ | ||
| region: EAP | ||
| year: 2019 | ||
| assessment: SEA-PLM | ||
| master: v01_M | ||
| adaptation: wrk_A_GLAD | ||
| module: ESCS | ||
| ttl_info: Joao Pedro de Azevedo [eduanalytics@worldbank.org] | ||
| dofile_info: last modified by Diana Goldemberg in April 15, 2020 | ||
| lastsave: 15 Jul 2021 13:50:42 by wb576985 | ||
| ~~~~ | ||
|
|
||
|
|
||
| About the **69 variables** in this dataset: | ||
|
|
||
| ~~~~ | ||
| The variables belong to the following variable classifications: | ||
| idvars valuevars traitvars | ||
| idvars: assessment year countrycode idgrade subgroup | ||
| valuevars: n_score_saplm_read m_score_saplm_read se_score_saplm_read n_score_saplm_write m_score_saplm_write se_score_saplm_write n_score_saplm_math m_score_saplm_math se_score_saplm_math n_fgt1_read m_fgt1_read se_fgt1_read n_fgt1_math m_fgt1_math se_fgt1_math n_fgt2_read m_fgt2_read se_fgt2_read n_fgt2_math m_fgt2_math se_fgt2_math n_sdg411_read m_sdg411_read se_sdg411_read n_sdg411_math m_sdg411_math se_sdg411_math n_bmp_read m_bmp_read se_bmp_read n_bmp_math m_bmp_math se_bmp_math m_d1level_saplm_read se_d1level_saplm_read m_d2level_saplm_read se_d2level_saplm_read m_d3level_saplm_read se_d3level_saplm_read m_d4level_saplm_read se_d4level_saplm_read m_d5level_saplm_read se_d5level_saplm_read m_d1level_saplm_math se_d1level_saplm_math m_d2level_saplm_math se_d2level_saplm_math m_d3level_saplm_math se_d3level_saplm_math m_d4level_saplm_math se_d4level_saplm_math m_d5level_saplm_math se_d5level_saplm_math m_d6level_saplm_math se_d6level_saplm_math m_d7level_saplm_math se_d7level_saplm_math m_d8level_saplm_math se_d8level_saplm_math | ||
| traitvars: n_total n_male n_urban n_has_qescs n_qescs | ||
| . codebook, compact | ||
| Variable Obs Unique Mean Min Max Label | ||
| ------------------------------------------------------------------------------- | ||
| assessment 150 1 . . . Assessment | ||
| year 150 1 2019 2019 2019 Year of assessment | ||
| countrycode 150 6 . . . Country ID, as coded... | ||
| idgrade 150 1 5 5 5 Grade ID | ||
| subgroup 150 25 . . . Subgroups of country... | ||
| n_score_sa~d 71 70 2196.127 5 6083 Number of observatio... | ||
| m_score_sa~d 71 70 299.0708 256.7812 350.0764 Mean of score_saplm_... | ||
| se_score_s~d 71 70 .4977017 .2030114 4.411864 Standard error of m_... | ||
| n_score_sa~e 71 70 2196.127 5 6083 Number of observatio... | ||
| m_score_sa~e 71 70 298.955 258.964 338.2115 Mean of score_saplm_... | ||
| se_score_s~e 71 70 .6459736 .2235312 7.101045 Standard error of m_... | ||
| n_score_sa~h 71 70 2196.127 5 6083 Number of observatio... | ||
| m_score_sa~h 71 70 298.9083 264.8691 355.2993 Mean of score_saplm_... | ||
| se_score_s~h 71 70 .4731134 .1782952 3.185656 Standard error of m_... | ||
| n_fgt1_read 70 69 1606.286 5 5531 Number of observatio... | ||
| m_fgt1_read 70 69 .0920569 .0325024 .1913552 Mean of fgt1_read | ||
| se_fgt1_read 70 69 .0014752 .0004667 .0097487 Standard error of m_... | ||
| n_fgt1_math 71 69 1443.972 2 5051 Number of observatio... | ||
| m_fgt1_math 71 70 .0757583 .0271377 .1400353 Mean of fgt1_math | ||
| se_fgt1_math 71 70 .0018988 .0004024 .0203288 Standard error of m_... | ||
| n_fgt2_read 70 69 1606.286 5 5531 Number of observatio... | ||
| m_fgt2_read 70 69 .0123371 .001899 .0392621 Mean of fgt2_read | ||
| se_fgt2_read 70 69 .0003546 .0001095 .0036122 Standard error of m_... | ||
| n_fgt2_math 71 69 1443.972 2 5051 Number of observatio... | ||
| m_fgt2_math 71 70 .00861 .0015818 .0210932 Mean of fgt2_math | ||
| se_fgt2_math 71 70 .0003551 .0000844 .0034211 Standard error of m_... | ||
| n_sdg411_r~d 71 70 2196.127 5 6083 Number of observatio... | ||
| m_sdg411_r~d 71 69 .2824954 0 .9461946 Mean of sdg411_read | ||
| se_sdg411_~d 71 69 .0073859 0 .0738261 Standard error of m_... | ||
| n_sdg411_m~h 71 70 2196.127 5 6083 Number of observatio... | ||
| m_sdg411_m~h 71 70 .3413939 0 .9795401 Mean of sdg411_math | ||
| se_sdg411_~h 71 70 .0069593 0 .0275632 Standard error of m_... | ||
| n_bmp_read 71 70 2196.127 5 6083 Number of observatio... | ||
| m_bmp_read 71 69 .7175046 .0538054 1 Mean of bmp_read | ||
| se_bmp_read 71 69 .0073859 0 .0738261 Standard error of m_... | ||
| n_bmp_math 71 70 2196.127 5 6083 Number of observatio... | ||
| m_bmp_math 71 70 .6586061 .02046 1 Mean of bmp_math | ||
| se_bmp_math 71 70 .0069593 0 .0275632 Standard error of m_... | ||
| m_d1level_~d 71 70 .2239524 0 .8552969 Mean of d1level_sapl... | ||
| se_d1level~d 71 70 .0114875 0 .1746662 Standard error of m_... | ||
| m_d2level_~d 71 70 .1885257 0 .3617429 Mean of d2level_sapl... | ||
| se_d2level~d 71 70 .0139628 0 .2413073 Standard error of m_... | ||
| m_d3level_~d 71 70 .1775996 .0131813 .2996812 Mean of d3level_sapl... | ||
| se_d3level~d 71 70 .0115834 .0024455 .1285215 Standard error of m_... | ||
| m_d4level_~d 71 68 .1274269 0 .2366126 Mean of d4level_sapl... | ||
| se_d4level~d 71 68 .009619 0 .1050314 Standard error of m_... | ||
| m_d5level_~d 71 69 .2824954 0 .9461946 Mean of d5level_sapl... | ||
| se_d5level~d 71 69 .0073859 0 .0738261 Standard error of m_... | ||
| m_d1level_~h 71 70 .1573933 0 .6448392 Mean of d1level_sapl... | ||
| se_d1level~h 71 70 .0120383 0 .195586 Standard error of m_... | ||
| m_d2level_~h 71 70 .1640592 .0007566 .3145439 Mean of d2level_sapl... | ||
| se_d2level~h 71 70 .0141928 .0005171 .2679152 Standard error of m_... | ||
| m_d3level_~h 71 70 .1822718 .0023652 .3057594 Mean of d3level_sapl... | ||
| se_d3level~h 71 70 .0121005 .0006509 .1254081 Standard error of m_... | ||
| m_d4level_~h 71 70 .1548818 0 .2922515 Mean of d4level_sapl... | ||
| se_d4level~h 71 70 .0103119 0 .0768072 Standard error of m_... | ||
| m_d5level_~h 71 70 .1164898 0 .2589417 Mean of d5level_sapl... | ||
| se_d5level~h 71 70 .0080681 0 .0471417 Standard error of m_... | ||
| m_d6level_~h 71 68 .083735 0 .2783237 Mean of d6level_sapl... | ||
| se_d6level~h 71 68 .0083229 0 .1293374 Standard error of m_... | ||
| m_d7level_~h 71 65 .0593506 0 .2372827 Mean of d7level_sapl... | ||
| se_d7level~h 71 65 .0057359 0 .0982872 Standard error of m_... | ||
| m_d8level_~h 71 55 .0818185 0 .6615334 Mean of d8level_sapl... | ||
| se_d8level~h 71 55 .0039242 0 .1127272 Standard error of m_... | ||
| n_total 150 6 5200 4479 6083 # learners, by count... | ||
| n_male 150 6 2633.167 2196 3071 # male learners, by ... | ||
| n_urban 150 6 2781.833 1436 3854 # urban learners, by... | ||
| n_has_qescs 150 6 5187.667 4479 6070 # has_qescs learners... | ||
| n_qescs 150 6 15995.33 13726 18237 # qescs learners, by... | ||
| ------------------------------------------------------------------------------- | ||
| ~~~~ | ||
|
|
||
| About the **150 observations** in this dataset: | ||
|
|
||
| ~~~~ | ||
| . tab countrycode idgrade | ||
| Country | | ||
| ID, as | | ||
| coded in | Grade ID | ||
| rawdata | 5 | Total | ||
| -----------+-----------+---------- | ||
| KHM | 25 | 25 | ||
| LAO | 25 | 25 | ||
| MMR | 25 | 25 | ||
| MYS | 25 | 25 | ||
| PHL | 25 | 25 | ||
| VNM | 25 | 25 | ||
| -----------+-----------+---------- | ||
| Total | 150 | 150 | ||
| . | ||
| . tab subgroup | ||
| Subgroups | | ||
| of | | ||
| countrycode | | ||
| idgrade | Freq. Percent Cum. | ||
| ------------+----------------------------------- | ||
| all | 6 4.00 4.00 | ||
| has_qescs=0 | 6 4.00 8.00 | ||
| has_qescs=1 | 6 4.00 12.00 | ||
| has_qescs=2 | 6 4.00 16.00 | ||
| has_qescs=3 | 6 4.00 20.00 | ||
| has_qescs=4 | 6 4.00 24.00 | ||
| has_qescs=5 | 6 4.00 28.00 | ||
| male=0 | 6 4.00 32.00 | ||
| male=1 | 6 4.00 36.00 | ||
| male=2 | 6 4.00 40.00 | ||
| male=3 | 6 4.00 44.00 | ||
| male=4 | 6 4.00 48.00 | ||
| male=5 | 6 4.00 52.00 | ||
| qescs=0 | 6 4.00 56.00 | ||
| qescs=1 | 6 4.00 60.00 | ||
| qescs=2 | 6 4.00 64.00 | ||
| qescs=3 | 6 4.00 68.00 | ||
| qescs=4 | 6 4.00 72.00 | ||
| qescs=5 | 6 4.00 76.00 | ||
| urban=0 | 6 4.00 80.00 | ||
| urban=1 | 6 4.00 84.00 | ||
| urban=2 | 6 4.00 88.00 | ||
| urban=3 | 6 4.00 92.00 | ||
| urban=4 | 6 4.00 96.00 | ||
| urban=5 | 6 4.00 100.00 | ||
| ------------+----------------------------------- | ||
| Total | 150 100.00 | ||
| ~~~~ |
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