Post Enumeration Survey of DISE 2011
( 5% sample check)
Dr. T. Vijaya KumarSenior Faculty
Centre for Equity and Social Development
NATIONAL INSTITUTE OF RURAL DEVELOPMENTRajendranagar - Hyderabad
Introduction
• Free and compulsory education to all children up to the age of fourteen years is our constitutional commitment.
• The Government of India has initiated a number of programmes to achieve the goal of Universalization of Elementary Education (UEE).
• The Sarva Shiksha Abhiyan (SSA) is a historic stride towards achieving the long cherished goal of Universalisation of Elementary Education (UEE) through a time bound integrated approach aims to provide useful and quality elementary education to all children in the 6-14 age groups.
Contd..
• In the context of implementation of Sarva Siksha Abhiyan (SSA), a massive programme undertaken in the realm of education sector, what assumes greater significance is proper implementation of the programme itself to derive appropriate results? Become aware of information, or from observation.
• For effective implementation of such large-scale programme, collecting information, analyzing the results, identifying the corrective course, deriving instructions based on the actual situation is very much essential.
• As per the desire of the MHRD, GoI the 5% sample check of the DISE data by an external research agency has been asked by the State Project Director, SSA, The National Institute of Rural Development has taken up the study in 3 Districts of Andhra Pradesh namely
Kadapa, Nellore and Warangal.
Objectives
The main objectives of the study are:•Evaluate the quality check of the DISE data
•Measure the precision levels as well as deviation of DISE data
•Suggest measures for strengthening data base on information pertaining to SSA in Andhra Pradesho practice under supervision.
Sample
Sl. No. School CategoryDistrict
TotalKadapa Nellore Warangal
1 Primary 96 70 118 284
2Primary with Upper Primary 20 49 18 87
3
Primary with Secondary or Higher Secondary 2 0 2 4
4
Upper Primary with Secondary or Higher Secondary 32 41 32 105
Total 150 160 170 480 % 31.3 33.3 35.4 100.0
DISTRIBUTION OF SAMPLE BY SCHOOL CATEGORY AND DISTRICT
Reference period
• The DISE data pertains to the year 2011 with 30th September as reference date. The post enumeration survey was also of the same period. Though the MoU was signed in the month of December 2011, the study was launched in January 2012, because of certain administrative reasons.
Data Analysis:
The overall deviation of data has been calculated as per following formula. (d1+d2+d3+d4+d5……….dx) x 100 a+b+c+d+……………+x Where d1, d2.d3… stands for deviation of items of DISE data from Post Enumeration Survey data ignoring + or - signs and a, b, c, denote items of Post Enumeration Survey data.
Limitations of the Study:
• The study has drawn carefully keeping in view of all the parameters and confronted the following limitations.
• Difference in Formats for post enumeration survey and DISE Data.
• Coverage of all types of school Managements
• Unfilled columns in prescribed formats of DISE data.
Variable established for the Study
Location of Schools;
Type of Schools
Category of Schools;
Lowest Class in Schools;
Highest Class in Schools;
Management of Schools;
Residential status of Schools;
Part of Shift Schools;
Sanctioned Teachers;
In Position Teachers;
Status of School Building;
Condition of Class Rooms;
Electricity in Schools;
Common Toilets in Schools;
Separate Toilets for Girls in Schools;
Condition of Boundary Walls in Schools;
Source of Drinking Water in Schools;
Availability of Play Ground in Schools;
Availability of Computers in Schools;
Availability of Furniture in School; and
Children’s Enrolment in 2011-12.
Location of Schools;
Type of Schools
Category of Schools;
Lowest Class in Schools;
Highest Class in Schools;
Management of Schools;
Residential status of Schools;
Part of Shift Schools;
Sanctioned Teachers;
In Position Teachers;
Status of School Building;
Condition of Class Rooms;
Electricity in Schools;
Common Toilets in Schools;
Separate Toilets for Girls in Schools;
Condition of Boundary Walls in Schools;
Source of Drinking Water in Schools;
Availability of Play Ground in Schools;
Availability of Computers in Schools;
Availability of Furniture in School; and
Children’s Enrolment in 2011-12.
Sl.No.
Description of Comparable items
Quantitative Value under Percentage
DISE PES
Deviationignoring + within Sub-
items
Deviation
Precision
1 2 3 4 5 6 7
1 Location of Schools 480 480 18 3.75 96.25
2 Type of Schools 480 480 40 8.33 91.67
3 Category of Schools 480 480 0 0.00 100.00
4 Lowest Class in Schools 480 480 16 3.33 96.67
5 Highest Class in Schools 480 480 10 2.08 97.92
6 Management of Schools 480 480 34 7.08 92.92
7 Residential Status of Schools 480 480 8 1.67 98.33
8 Part of Shift School 480 480 6 1.25 98.75
9 Sanctioned Teachers 1516 1540 54 3.51 96.49
10 In-Position Teachers 2175 2179 56 2.57 97.43
11 Status of School Building 480 480 36 7.50 92.50
12 Condition of Class Rooms 2178 2276 56 2.46 97.54
13 Electricity in Schools 480 480 14 2.92 97.08
14 Common Toilet in Schools 480 480 22 4.58 95.42
15 Separate Toilet for girls in Schools 480 480 20 4.17 95.83
16 Condition of Boundary Wall in Schools 480 480 64 13.33 86.67
17 Source of Drinking Water in Schools 480 480 40 8.33 91.67
18 Availability of Play Ground in Schools 480 480 26 5.42 94.58
19 Availability of Computers 845 853 30 3.52 96.48
20 Availability of Furniture in Schools 480 480 24 5.00 95.00
21 Children Enrollment - 2011-12 67561 68285 5488 8.04 91.96
Total 81955 82813 6062 7.32 92.68
PERCENTAGE DEVIATION AND PRECISION LEVEL OF DISE DATA WITH THE PES DATA FOR ALL COMPARABLE ITMES
Conclusions
• The overall deviation of DISE data from PES data, in respect of all comparable of items, is 7.32%, which is within the range of permissible percentage of deviation i.e. 10%, and there by giving a precision level of 92.68% for DISE data in relation to PES data
• Within the available comparable data, few schools did not provide the information on some of the items.
• The highest deviation of data is observed in respect of items which are based on respondent’s interpretation i.e. In Type of schools, status of school buildings, condition of boundary wall, management of schools, drinking water facility and children enrollment.
Contd..
• The items like type of management, number of blocks in schools, teacher posts sanctioned, teachers in position, disability, repitation rate, availability of computers have not been reported properly. Hence, it was felt difficult to establish deviation on such an important variables.
• As much as seven per cent of schools among 8% schools were not open at the time of survey causing lot of inconvenience while collecting data for these schools investigators visited second time.
• It is found that among the sample schools 90% percentage of teachers come on time to school where as in 10% schools teachers are not attending the school in time.
Contd.
• As much as 19% of Head Masters concerned could not able to provide requisite information pertaining to his/her school though records are available.
• In 14% of the Tribal schools, it was observed that Teachers were not on time to school for various reasons.
• 25.5% of the schools even do not have photocopy of DISE format though requisite instructions were in vogue.
• In as much as 38.3% of schools Display Boards were not available. Even in case of the schools where the display boards are available the information was not written on the boards.
Contd.
• Still considerable number of schools was not having exclusive toilets for girl children. Even in case of schools the toilets are available running water facility is not available.
• Enrolment of girls (86.30%) is quite encouraging especially among the SC, ST and OBC communities.
Suggestions
The field experience reveals that the headmasters/teachers feel that it is an additional burden to them and some times found it difficult in providing of the required data.•Therefore, the headmasters/teachers need to be given an understanding that supplying of educational data of the school is mandatory and it is a part of their job. Therefore, they are to be serious and sincere in providing the data.•The formats canvassed for Post Enumeration Survey (DCF) and the District Information System of Education (DISE) were quite different in terms of certain variables/aspects. This has been resulting difficulty in establishing similarities or confirmation of data through Five Percent Check.
Contd..
• The School complex Head Masters, Mandal Educational Officers, Officers of District project SSA and DIET faculty should be given training on collection and utilization of DISE data and its all related soft ware applications for proper planning and implementation of Educational activities.
• The investigators faced the problem in getting the data about previous academic year as the records are not maintained properly, therefore, the headmasters need to be advised to maintain a single register which contains year wise data of the school and the required data of any year becomes easy to be supplied.
• All the teachers must be given proper orientation and awareness regarding the importance of DISE data and its utility.
• Effective supervision and monitoring should be ensured at all levels for quality data cross checking of filled in DISE format may be undertaken to improve the quality of information.
• MIS Units should be strengthened by appointing properly trained professionals.
Thank you
