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Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Literacy Education MICS4 Data Dissemination and Further Analysis Workshop.

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Presentation on theme: "Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Literacy Education MICS4 Data Dissemination and Further Analysis Workshop."— Presentation transcript:

1 Multiple Indicator Cluster Surveys Data dissemination and further analysis workshop Literacy Education MICS4 Data Dissemination and Further Analysis Workshop

2 Indicators and definitions 7.1: Literacy among young women Percentage of women age 15-24 years who are able to read a short simple statement about everyday life (WB7=3) or who attended secondary or higher 7.2: School readiness Percentage of children attending first grade of primary school who attended pre-school the previous year 7.3: Primary school entry (net intake rate) Percentage of children of primary school entry age entering grade 1 MICS4 Data Dissemination and Further Analysis Workshop

3 Indicators and definitions 7.4 Primary net attendance ratio (adjusted) The adjusted primary school net attendance ratio (NAR) is the percentage of children of primary school age (as of the beginning of school year) who are attending primary or secondary school. MICS4 Data Dissemination and Further Analysis Workshop

4 Indicators and definitions 7.5 Secondary net attendance ratio (adjusted) The adjusted secondary school net attendance ratio (NAR) is the percentage of children of secondary school age (as of the beginning of the current or most recent school year) who are attending secondary school or higher (higher levels are included to take early starters into account). MICS4 Data Dissemination and Further Analysis Workshop

5 Indicators and definitions 7.6 Survival rate to last grade of primary school Percentage of children entering the first grade of primary school who eventually reach the last grade of primary. 7.7 Primary completion rate Ratio of the total number of students, regardless of age, entering the last grade of primary school for the first time, to the number of children of the primary graduation age at the beginning of the current (or most recent) school year. MICS4 Data Dissemination and Further Analysis Workshop

6 Indicators and definitions 7.8 Gender Parity Index The gender parity index (GPI) is the ratio of female to male adjusted net attendance ratios (primary or secondary). Other Non-MICS Indicators that can be produced with MICS data: –Gross Attendance Ratio (Pre-primary, Primary, Secondary) –Out-of-School Rate for Primary School Age Children (100-NAR (adj)) –Lower Net Attendance Ratio (adjusted) –Upper Net Attendance Ratio (adjusted) –Cumulative Primary Dropout Rate –Youth Primary Completion Rate (17-22) –Youth Secondary Completion Rate (23-27) MICS4 Data Dissemination and Further Analysis Workshop

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8 Things to remember Age Adjustments: The age of child at the beginning of the school year is estimated by rejuvenating children to the first month of the (current or most recent) school year by using information on the date of birth, if available, and information on when the current (or most recent) school year began. If the date of birth is not available, then a full year is subtracted from the current age of the child at the time of survey, if the interview took place more than 6 months after the school year started. If the latter is less than six months and the date of birth is not available, the current age is assumed to be the same as the age at the beginning of the school year. MICS4 Data Dissemination and Further Analysis Workshop

9 Table ED.1: Literacy among young women Percentage of women age 15-24 years who are literate, Country, Year Percentage literate 1 Percentage not known Number of women age 15- 24 years Region Region 1 Region 2 Region 3 Region 4 Region 5 Residence Urban Rural Education None Primary Secondary100.00.0 Higher100.00.0 Age 15-19 20-24 Wealth index quintile Poorest Second Middle Fourth Richest Religion/Language/Ethnicity of household head Group 1 Group 2 Group 3 Total 1 MICS indicator 7.1; MDG indicator 2.3 Literacy among women 15-24 years of age is used as a proxy for adult literacy It measures the ability to read a few sentences Its interpretation should be done cautiously Presents a gender component

10 MICS4 Data Dissemination and Further Analysis Workshop Country example Table ED.1: Literacy among young women Percentage of women age 15-24 years who are literate, Bhutan, 2010 Percentage literate [1] Percentage not known Number of women age 15-24 years AreaUrban77.9.11635 Rural44.5.12920 EducationNone5.2.21706 Primary43.6.3643 Secondary +100.0.02205 Age15-1967.1.12052 20-2447.9.12502 Wealth index quintiles Poorest20.7.1718 Second34.3.3737 Middle48.2.2839 Fourth70.7.11055 Richest84.7.01207 Total 56.5.14555

11 MICS4 Data Dissemination and Further Analysis Workshop Table ED.2: School readiness Percentage of children attending first grade of primary school who attended pre- school the previous year, Country, Year Percentage of children attending first grade who attended preschool in previous year 1 Number of children attending first grade of primary school Sex Male Female Region Region 1 Region 2 Region 3 Region 4 Region 5 Residence Urban Rural Mother's education None Primary Secondary Higher Wealth index quintile Poorest Second Middle Fourth Richest Religion/Language/Ethnicity of household head Group 1 Group 2 Group 3 Total 1 MICS indicator 7.2 The numerator includes children who are in first grade of primary school this year and were in preschool last year. The denominator is the number of children attending first grade of primary education regardless of age.

12 MICS4 Data Dissemination and Further Analysis Workshop Table ED.3: Primary school entry Percentage of children of primary school entry age entering grade 1 (net intake rate), Country, Year Percentage of children of primary school entry age entering grade 1 1 Number of children of primary school entry age Sex Male Female Region Region 1 Region 2 Region 3 Region 4 Region 5 Residence Urban Rural Mother's education None Primary Secondary Higher Wealth index quintile Poorest Second Middle Fourth Richest Religion/Language/Ethnicity of household head Group 1 Group 2 Group 3 Total 1 MICS indicator 7.3 The denominator is the number of children who were of primary school entry age at the beginning of the current (or the most recent) school year. The numerator includes those children in the denominator that are attending primary school: Grade=1 or 2. Grade 2 of primary school is accepted to take into account early starters. Primary school entry age is defined at the country level (usually based on UNESCO's ISCED classification).

13 MICS4 Data Dissemination and Further Analysis Workshop Table ED.4: Primary school attendance Percentage of children of primary school age attending primary or secondary school (adjusted net attendance ratio), Country, Year Male Female Total Net attendance ratio (adjusted) Number of children Net attendance ratio (adjusted) Number of children Net attendance ratio (adjusted) 1 Number of children Region Region 1 Region 2 Region 3 Region 4 Region 5 Residence Urban Rural Age at beginning of school year 6 7 8 9 10 11 The adjusted primary school net attendance ratio (NAR) is the percentage of children of primary school age (as of the beginning of school year) who are attending primary or secondary school. Attendance to secondary school is included to take into account early starters. All children of primary school age (at the beginning of the school year) are included in the denominator. Rates presented in this table are "adjusted" since they include not only primary school attendance, but also secondary school attendance in the numerator. This should be adapted in accordance with the country-specific primary school ages as indicated by ISCED

14 Table ED.4: Primary school attendance Percentage of children of primary school age attending primary or secondary school (Net attendance ratio), Bhutan, 2010 MaleFemaleTotal Net attendance ratio (adjusted) [1] Number of children Net attendance ratio (adjusted) [1] Number of children Net attendance ratio (adjusted) [1] Number of children AreaUrban97.0144195.6144396.32884 Rural88.9375991.5374990.27508 Age at beginning of school year 682.480380.776881.61571 793.770992.972293.31431 896.570096.464396.51343 994.874598.069896.31443 1091.472496.276593.91489 1190.870995.077293.01481 1289.981290.982290.41634 Mother's educationNone89.6405691.7403190.78087 Primary96.759097.258696.91176 Secondary +96.655595.057495.81128 Mother not in household.0100.00 0 Wealth index quintiles Poorest85.8104783.7107984.72126 Second86.4105591.399388.82048 Middle90.6102996.4103293.52061 Fourth96.0107195.6109195.82162 Richest97.299896.799797.01995 Total 91.2520192.7519291.910392 [1] MICS indicator 7.4; MDG indicator 2.1

15 MICS4 Survey Design Workshop Bangladesh MICS 2009 MICS4 Data Dissemination and Further Analysis Workshop

16 Table ED.5: Secondary school attendance Percentage of children of secondary school age attending secondary school or higher (adjusted net attendance ratio) and percentage of children attending primary school, Country, Year Male Female Total Net attendance ratio (adjusted) 1 Percent attending primary school Number of children Net attendance ratio (adjusted) 1 Percent attending primary school Number of children Net attendance ratio (adjusted) 1 Percent attending primary school Number of children Region Region 1 Region 2 Region 3 Region 4 Region 5 Residence Urban Rural Age at beginning of school year 12 13 14 15 16 17 This should be adapted in accordance with the country-specific primary school ages as indicated by ISCED MICS standard questionnaires are designed to establish mother's/caretaker's education for children up to age 17 at the time of interview (see Household Listing, Household Questionnaire). The category "Cannot be determined" is included for children who were age 18 and higher at the beginning of school year. This will be necessary if the secondary school ages in the country encompass age 18 and higher) Mother's education None Primary Secondary Higher Cannot be determined

17 Methodological issues Results refer to attendance instead of enrolment In reality we should aim to measure attendance Enrolment tends to over estimate school participation Results refer to net attendance instead of gross Gross attendance in primary/secondary education includes children of no primary/no secondary education ages Gross attendance ratios can be greater than 100% Primary/secondary attendance ratios include children attending primary or higher/secondary or higher

18 MICS4 Data Dissemination and Further Analysis Workshop Table ED.6: Children reaching last grade of primary school Percentage of children entering first grade of primary school who eventually reach the last grade of primary school (Survival rate to last grade of primary school), Country, Year Percent attending grade 1 last school year who are in grade 2 this school year Percent attending grade 2 last school year who are attending grade 3 this school year Percent attending grade 3 last school year who are attending grade 4 this school year Percent attending grade 4 last school year who are attending grade 5 this school year Percent attending grade 5 last school year who are attending grade 6 this school year Percent who reach grade 6 of those who enter grade 1 1 Sex Male Female Region Region 1 Region 2 Region 3 Region 4 Region 5 Residence Urban Rural Mother's education None Primary Secondary Higher Children reaching the last grade of primary, also known as the survival rate to the last grade of primary school, is the percentage of children entering the first grade of primary school who eventually reach the last grade of primary. This table assumes that primary school comprises 6 grades. In countries where primary school has more or fewer grades, columns of the table should be customized accordingly.

19 Example: to calculate the probability that a child in grade 1 eventually reaches grade 2 the number of children who are in 2nd grade of primary school at the time of the survey and who were in 1st grade last year is divided by: the number of children who were in 1st grade last year and graduated to 2nd grade or dropped out of school

20 Children reaching last grade of primary school

21 MICS4 Data Dissemination and Further Analysis Workshop Table ED.6: Children reaching last grade of primary school Percentage of children entering first grade of primary school who eventually reach the last grade of primary school (Survival rate to last grade of primary school),Bhutan, 2010 Percent attending grade 0 last year who are in grade 1 this year Percent attending grade 1 last year who are in grade 2 this year Percent attending grade 2 last year who are attending grade 3 this year Percent attending grade 3 last year who are attending grade 4 this year Percent attending grade 4 last year who are attending grade 5 this year Percent attending grade 5 last year who are attending grade 6 this year Percent who reach grade 6 of those who enter grade 0 [0] SexMale99.598.499.197.897.698.491.2 Female98.999.799.599.499.199.496.0 AreaUrban98.6100.0 99.4100.099.797.7 Rural99.498.799.198.397.798.692.1 Mother's educationNone99.198.899.298.798.198.893.0 Primary98.9100.0 99.099.199.396.3 Secondary +100.099.8100.099.5100.0 99.3 Mother not in household 100.0.... Wealth index quintiles Poorest99.598.898.797.895.199.489.7 Second99.9100.099.298.1 96.291.8 Middle98.099.798.998.398.999.493.3 Fourth98.599.2100.099.2 99.495.7 Richest100.097.5100.099.799.8100.097.0 Total 99.299.199.398.698.498.993.6 [1] MICS indicator 7.6; MDG indicator 2.2 Careful customization of country specific grades

22 Methodological issues RLG is an indicator with some degree of difficulty for both estimation and interpretation Note that in the current approach we exclude from our estimation children found to be repeating a grade under the assumption that their probability of dropping from school, repeating again, or promotion to the next grade is included in the other cohorts It measures the probability for children starting grade 1 to reach grade 5 and it is based on children that are participating in school It is used as a proxy for literacy among children

23 MICS4 Data Dissemination and Further Analysis Workshop Table ED.7: Primary school completion and transition to secondary school Primary school completion rates and transition rate to secondary school, Country, Year Primary school completion rate 1 Number of children of primary school completion age Transition rate to secondary school 2 Number of children who were in the last grade of primary school the previous year Sex Male Female Region Region 1 Region 2 Region 3 Region 4 Region 5 Residence Urban Rural The primary completion rate is the ratio of the total number of students, regardless of age, entering the last grade of primary school for the first time, to the number of children of the primary graduation age at the beginning of the current (or most recent) school year. It can be greater than 100! The transition rate to secondary education is the percentage of children who were in the last grade of primary school during the previous school year and who are attending the first grade of secondary school in the current (or most recent) school year

24 MICS4 Data Dissemination and Further Analysis Workshop Table ED.8: Education gender parity Ratio of adjusted net attendance ratios of girls to boys, in primary and secondary school, Country, Year Primary school adjusted net attendance ratio (NAR), girls Primary school adjusted net attendance ratio (NAR), boys Gender parity index (GPI) for primary school adjusted NAR 1 Secondary school adjusted net attendance ratio (NAR), girls Secondary school adjusted net attendance ratio (NAR), boys Gender parity index (GPI) for secondary school adjusted NAR 2 Region Region 1 Region 2 Region 3 Region 4 Region 5 Residence Urban Rural The gender parity index (GPI) is the ratio of female to male adjusted net attendance ratios (primary or secondary). The primary and secondary adjusted net attendance ratios are presented in more detail in tables ED.4 and ED.5.

25 Expected patterns Literacy rates are lower for those youth in rural areas and in poorer families Children living in urban areas and from richer families are more likely to attend preschool and start primary school on time Children living in rural areas, children from poor families, children whose mothers have no/low education and children from indigenous language and religious groups are less likely to attend school At the primary school level, girls and boys are equally likely to attend school At the secondary school level, gender equality in attendance lowers Different levels of schools attendance between child labourers and children who are not engaged in child labour MICS4 Data Dissemination and Further Analysis Workshop

26 Things to look for in the tables Disparities in educational participation by: –Gender, –Geographical regions, –Wealth, –Language, –Religion, –Mother’s education, –Child labour status. MICS4 Data Dissemination and Further Analysis Workshop

27 To better describe school participation we propose: Look at primary and secondary together Use the following 3 simple indicators: –Primary net attendance ratio –Secondary net attendance ratio –Percentage of secondary school age children that are attending primary school Present analysis of school participation (levels and GPI) in a comprehensive way rather than primary and secondary separated Things to look for in the tables

28 Some ideas for further analyses Interconnected disparities Education Participation Projection Average Annual Rate of Increase Other non-standard MICS indicators MICS4 Data Dissemination and Further Analysis Workshop

29 THANK YOU! MICS4 Data Dissemination and Further Analysis Workshop


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