{"type":"survey","doc_desc":{"title":"ZMB_1995_SACMEQ-I_v01_M","idno":"DDI_ZMB_1995_SACMEQ-I_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2014-05-14","version_statement":{"version":"Version 01 (May 2014)"}},"study_desc":{"title_statement":{"idno":"ZMB_1995_SACMEQ-I_v01_M","title":"Southern Africa Consortium for Monitoring Educational Quality 1995","sub_title":"SACMEQ-I Project","alt_title":"SACMEQ-I 1995"},"authoring_entity":[{"name":"Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ)","affiliation":""}],"production_statement":{"copyright":"Copyright, Southern and Eastern Africa Consortium for Monitoring Educational Policy","funding_agencies":[{"name":"United Nations Educational, Scientific and Cultural Organization","abbreviation":"UNESCO","role":"Funding the project"},{"name":"Italian Government","abbreviation":"","role":"Funding the project"},{"name":"Netherlands Government","abbreviation":"","role":"Funding the project"},{"name":"Ministries of Education","abbreviation":"","role":"Funding the project"}]},"distribution_statement":{"contact":[{"name":"Director- Southern Africa Consortium for Monitoring Educational Quality","affiliation":"International Institute for Educational Planning - UNESCO","email":"info@sacmeq.org","uri":"http:\/\/www.sacmeq.org"},{"name":"International Institute for Educational Planning","affiliation":"United Nations Educational, Scientific and Cultural Organization (UNESCO)","email":"info@iiep.unesco.org ","uri":"http:\/\/www.iiep.unesco.org"}]},"series_statement":{"series_name":"Socio-Economic\/Monitoring Survey [hh\/sems]","series_info":"The origins of the Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ) date back to 1991, the year when several Ministries of Education in Eastern and Southern Africa started working closely with UNESCO's International Institute for Educational Planning (IIEP) on the implementation of integrated educational policy research and training programmes.\n\nIn 1995 these Ministries of Education formalized their collaboration by establishing a network that is widely known as SACMEQ. Fifteen Ministries are now members of SACMEQ: Botswana, Kenya, Lesotho, Malawi, Mauritius, Mozambique, Namibia, Seychelles, South Africa, Swaziland, Tanzania (Mainland), Tanzania (Zanzibar), Uganda, Zambia, and Zimbabwe.\n\nThe Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ) undertook three large-scale, cross-national studies of the quality of education: SACMEQ I (1995-1999, reading) with seven ministries; SACMEQ II (2000-2004, reading and mathematics) with 14 ministries; and SACMEQ III (2006-2010, reading, mathematics, and HIV and AIDS knowledge) with 15 ministries."},"version_statement":{"version":"- v2.1: Edited, anonymous dataset for public distribution.","version_date":"1995"},"study_info":{"topics":[{"topic":"basic skills education [6.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"The Southern Africa Consortium for Monitoring Educational Quality (SACMEQ) is a consortium of Ministries of Education and Culture located in the Southern Africa subregion. This consortium works in close partnership with the International Institute for Educational Planning (IIEP). SACMEQ\u2019s main aim is to undertake co-operative educational policy research in order to generate information that can be used by decision-makers to plan the quality of education. SACMEQ\u2019s programme of educational policy research has four features which have optimized its contributions to the field of educational planning: (1) it provides research-based policy\nadvice concerning high-priority educational quality issues that have been identified by key decision-makers in Southern Africa, (2) it functions as a co-operative venture based on a strong network of Ministries of Education and Culture, (3) it combines research and training components that are linked with institutional capacity building, and its future directions are defined by participating ministries. In each participating country, a National Research Co-ordinator is responsible for implementing SACMEQ\u2019s projects. \n\nThe SACMEQ I Project commenced in 1995 and was completed in 1999. The SACMEQ I main data collection was implemented in seven SACMEQ Ministries of Education (Kenya, Mauritius, Malawi, Namibia, Zambia, Zanzibar, and Zimbabwe). The study provided \"agendas for government action\" concerning: educational inputs to schools, benchmark standards for educational provision, equity in the allocation of educational resources, and the reading literacy performance of Grade 6 learners. The data collection for this project included information gathered from around 20,000 learners; 3,000 teachers; and 1,000 school principals.\n\nThis co-operative sub-regional educational research project collected data in order to guide decisionmaking in these countries with respect to questions around high priority policy issues. These included:\n\u2022 What are the baseline data for selected inputs to primary schools?\n\u2022 How do the conditions of primary schooling compare with the Ministry of Education and Culture\u2019s own bench-mark standards? \n\u2022 Have educational inputs to schools been allocated in an equitable fashion?\n\u2022 What is the basic literacy level among pupils in upper primary school?\n\u2022 Which educational inputs to primary schools have most impact on pupil reading achievement at the upper primary level?\n\nIn 1995 there were five fully active members of SACMEQ: Mauritius, Namibia, Zambia, Tanzania (Zanzibar), and Zimbabwe. These Ministries of Education and Culture participated in all phases of SACMEQ\u2019s establishment and its initial educational policy research project. There are also four partially active members of SACMEQ: Kenya, Tanzania (Mainland), Malawi, and Swaziland. These Ministries of Education and Culture have made contributions to the preparation of the Project Plan for SACMEQ\u2019s initial educational policy research project. Three other countries (Botswana, Lesotho, and South Africa) had observer status due to their involvement in SACMEQ related training workshops or their participation in some elements of the preparation of the first proposal for launching SACMEQ.","coll_dates":[{"start":"1995","end":"1995","cycle":""}],"nation":[{"name":"Zambia","abbreviation":"ZAM"}],"geog_coverage":"National Coverage","geog_unit":"The lowest level of geographic aggregation covered by the data is province, and in some cases, metropolitan area.","analysis_unit":"- Pupils\n- Schools\n- Teachers","universe":"The target population for SACMEQ's Initial Project was defined as \"all pupils at the Grade 6 level in 1995 who were attending registered government or non-government schools\". Grade 6 was chosen because it was the grade level where the basics of reading literacy were expected to have been acquired.","data_kind":"Sample survey data [ssd]","notes":"Data was collected on pupils\u2019 home backgrounds and their school life; classrooms, teaching practices, teachers' working conditions, and teacher housing; enrolments, school buildings and facilities, and school management.","study_scope":"Data was collected on pupils\u2019 home backgrounds and their school life; classrooms, teaching practices, teachers' working conditions, and teacher housing; enrolments, school buildings and facilities, and school management."},"method":{"data_collection":{"data_collectors":[{"name":"Ministry of Education - Zambia","abbreviation":"","affiliation":""}],"sampling_procedure":"A stratified two-stage sample design was used to select around 150 schools in each country. Pupils were then selected within these schools by drawing simple random samples. A more detailed explanation of the sampling process is available under the 'Sampling' section of the report provided as external resources.\n\nAll sample designs applied in SACMEQ'S initial project were selected so as to meet the standards set down by the International Association for the Evaluation of Education Achievement (Ross, 1991). These standards require sample estimates of important pupil population characteristics to be (a) adjusted by weighing procedures designed to remove the potential for bias that may arise from different probabilities of selection, and (b) have sampling errors for the main criterion variables that are of the same magnitude or smaller than a simple random sample of 400 pupils (thereby providing 95 percent confidence limits for sample estimates of population percentages of plus or minus 5 percentage points, and 95 percent confidence limits for sample estimates of population means of plus or minus one tenth of a pupil standard deviation unit).\n\nThe desired target population in Zambia was 'all pupils at the Grade 6 level in the eleventh month of the school year, 1995, who were attending registered government and grant-aided schools in the country'. The number of schools and pupils in the desired, excluded, and defined population have been presented in Table 2.2 of the Sample Report provided as external resources. From the defined target population a probability sample of schools (with probability proportional to the Grade 6 enrolment in each school) was drawn. This resulted in a planned national sample of 165 schools and 3,300 pupils. This sample design was designed to yield an equivalent sample size' (Ross and Wilson, 1994) of 400 pupils - based on an estimated intra-class correlation (rho) for pupil reading test scores of around 0.30. In fact, after the rho was calculated for the reading scores, it was found to be 0.3 1 - which was about the same as had been expected At the first stage of sampling, schools were selected with a probability proportional to the number of pupils who were members of the defined target population. To achieve this selection a 'random start - constant interval' procedure was applied (Ross, 1987). In several strata there were some schools with numbers of pupils in the defined target population that exceeded the size of the 'constant interval', and therefore each of these schools was randomly broken into smaller 'pseudo schools' before the commencement of the sampling. At the second stage of sampling, a simple random sample of 20 pupils was selected within each selected school. Sampling weights were used to adjust for the disproportionate allocation of the sample across districts and also to account for the small loss of student data due to absenteeism on the day of the data collection.","coll_mode":"Face-to-face [f2f]","research_instrument":"The data collection for SACMEQ's Initial Project took place in October 1995 and involved the administration of questionnaires to pupils, teachers, and school heads. The pupil questionnaire contained questions about the pupils' home backgrounds and their school life; the teacher questionnaire asked about classrooms, teaching practices, working conditions, and teacher housing; and the school head questionnaire collected information about teachers, enrolments, buildings, facilities, and management. A reading literacy test was also given to the pupils. The test was based on items that were selected after a trial-testing programme had been completed.\n\nThe SACMEQ Data Collection Instruments include the following documents: \n- SACMEQ Questionnaires - which are administered to pupils, teachers, and school heads. \n- SACMEQ Tests - which are administered to pupils and teachers (covering reading mathematics, and HIV-AIDS knowledge). \n- Other SACMEQ Data Collection Instruments - such as take-home pupil questionnaires, school context proformas, and within-school project management documents.","coll_situation":"The total number of schools where testing took place was 157 and it was estimated that it would take one day in urban areas and two days in some of the rural areas for a total of about 200 test administrator days. The time allowed for the data collection was one week and so a minimum of 40 data collectors was required. Initially nine data collectors from nine provinces were called for training at a central venue in the month of October 1995. Following the training, each one of them became the team leader in his or her province to work with five more data collectors who he or she was to train. The Senior Education Officers (Planning) from the nine provinces of Zambia formed the team leaders for data collection. Three more data collectors were included based on the discretion of the Senior Education Officer (Planning). Thus, 45 data collectors were deployed and collected the data. The data collectors were assisted with transport cost and subsistence by the Ministry during the week of data collection.\n\nThe field work was guided by two detailed manuals which had been developed by the SACMEQ National Research Co-ordinators (NRCs): one NRC manual which defined precisely and sequentially what had to be done at every step in the conduct of the study; a second manual for data collectors which detailed every step that had to be taken from the minute the materials were received to the minute the materials were returned to the Ministry. The manual for the data collectors was used by the NRCs to conduct training sessions for the data collectors. Training sessions usually lasted one whole day, and no particular problems were encountered.","weight":"At the second stage of sampling, a simple random sample of 20 pupils was selected within each selected school. Sampling weights were used to adjust for the disproportionate allocation of the sample across districts and also to account for the small loss of student data due to absenteeism on the day of the data collection.","cleaning_operations":"All of the team leaders for the data collectors returned the instruments to the Ministry Headquarters (for the attention of the NRC), during the second week after the test administration. Once the instruments were returned to the Headquarters, three data entry staff within the Statistical Section of the Ministry entered the data, using the Data Entry Manager (DEM) a software programme developed at the IIEP (Schleicher, 1995). This software was adapted specifically for the entry of SACMEQ data. The data entry took six weeks and the data were sent on diskette to IIEP in March, 1996. It must be mentioned that at the time of data entry, the earlier version of the DEM structure files was used, and this caused major problems in cleaning the data at a later stage and reconstituting the structure of the files as they were meant to be.","method_notes":"Detailed information on data building and management is available in the 'Data Building and Data Management' document available as external resources."},"analysis_info":{"response_rate":"The planned sample was designed to contain 165 schools allocated across provinces, as shown in the first column of figures in Table 2.3 of the Survey Report provided as external resources. The achieved sample of schools was 157. The response rates for the sample have been recorded in Table 2.3. The percentage response for schools was 95.2 percent and that of pupils was 77.5 percent. The non-responding pupils were those who were absent on the day of testing. By province, this absenteeism varied from 2 to 12 percent.","sampling_error_estimates":"In the survey report provided as external resources, standard errors were provided for all important variables. The calculation of these errors acknowledged that the sample was not a simple random sample - but rather a complex two-stage cluster sample that included weighting adjustments to compensate for variations in selection probabilities. The errors were calculated by using the PC-CARP software (Fuller et al., 1986). This software employs the Taylor\u2019s Series Approximation in order to calculate sampling errors and design effects.","data_appraisal":"From Table 2.3 of the Survey Report it may be seen that there were major data losses due to non response at the national level and in particular regions. At the national level, data were obtained from only around three quarters of the pupils selected into the sample. At the regional level, data loss due to non response was particularly high in Luapula, where around one third of the pupils did not respond.\n\nThe source of this non response was not completely clear from the field records submitted by the data collectors. In Luapula four of the 15 schools selected into the sample either refused to participate or were not visited by the data collectors. Further data loss occurred in Luapula because 10 percent of the pupils in the remaining 11 schools were absent on the day of testing. Major loss of data also occurred in other regions: Lusaka (30 percent loss), Western (30 percent loss), and Eastern (27 percent loss). These major levels of data loss were far larger than had been set down as part of the quality control standards for SACMEQ\u2019s initial project. In the other four countries involved in the project, the response rate at the pupil level reached 90 percent or more.\n\nIt was beyond the scope of the survey report to conduct detailed analysis of the degree of bias that may have occurred in the Zambian data due to these high levels of non response. Therefore, the results presented in the \u2018report must be treated with caution until further analytical work has been undertaken by the Planning Division of the Zambian Ministry of Education."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Before being granted access to the dataset, all users have to formally agree: \n1. To make no copies of any files or portions of files to which s\/he is granted access except those authorized by the data depositor. \n2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. \n3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her\/his analysis will be immediately brought to the attention of the data depositor.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director- Southern Africa Consortium for Monitoring Educational Quality (SACMEQ)","affiliation":"International Institute for Educational Planning - UNESCO","email":"info@sacmeq.org","uri":"http:\/\/www.sacmeq.org"}],"cit_req":"Southern and Eastern Africa Consortium for Monitoring Educational Quality. SACMEQ Project 1995-1998 [dataset]. Version 4. Harare: SACMEQ [producer], 2004. Paris: International Institute for Educational Planning, UNESCO [distributor], 2004.","conditions":"TERMS AND CONDITIONS FOR USE OF THE SACMEQ DATA ARCHIVE\n \n1.0 Introduction \n \nThe Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ) Co-ordinating Centre (SCC ) has produced a data archive containing all information collected for SACMEQ's first three educational policy research projects (SACMEQ I, SACMEQ II, and SACMEQ III). This archive is now available online on the SACMEQ website so as to give bona fide researchers and students online access to SACMEQ data and documents.\n \nThe SACMEQ data sets have been developed at great cost and with the application of stringent quality controls. It is being made available to eligible users because it has a great potential to contribute to educational policy development beyond what has already been achieved in this respect through the reports written by the National Research Co-ordinators (NRC s) and Deputy National Research Coordinators (NRC s). It is expected that many researchers and students will wish to use the Data Archive for research, publications, and\/or training purposes. \n \nThe Terms and Conditions serve two purposes. Firstly, they provide interested applicants with guidelines on how to access this valuable information resource. Secondly, they are intended to safeguard against the danger of users being unaware of the complexities of the data collection process and consequently arriving at misinterpretations that could lead to incorrect conclusions.\n \n2.0 How can the user gain such access? \n\nIn order to obtain SACMEQ Data Archive for any of the SACMEQ school systems, the applicant should follow these steps:\n \n2.1 Read and Agree to these \"Terms and Conditions for the Use of the SACMEQ Data Archive.\"\n \n2.2 Complete an online application form.\n3.0 What rules govern the use of the SACMEQ data archive? \n \n3.1 The Data Archive is the outcome of expensive and time-consuming activities of the staff of the represented Ministries of Education spread over many years. For this reason, the SACMEQ Ministries of Education described in the Data Archive should: \n \n3.1.1 be notified by the SACMEQ SCC of any request for data; \n \n3.1.2 have an opportunity to review reports based on the data archive so as to correct any gross errors before they are published; and \n \n3.1.3 satisfy themselves that the data have been used in such a manner that they contribute positively to the development of relevant education policies in relevant SACMEQ member countries. \n \n3.2 It is the National Research Coordinators (NRC s) and Deputy National Research\nCoordinators (DNRCs) who have spearheaded the collection and compilation of SACMEQ data. In acknowledgment of their efforts, the applicant(s) will be required to invite the relevant country's National Research Coordinator to participate in the study associated with the use of the data. Where an individual other than the NRC or DNRC is co-opted, the relevant NRC and DNRC shall be given the first right of refusal. \n \n3.3 This provision does not apply in situations where the SACMEQ Data Archive is used purely for purposes of individual academic research by a student, and where the results are not intended for publication. \n \n3.4 All relevant NRC s and DNRCs will be informed by the SCC about the recipients of the Data Archive. \n \n3.5 SACMEQ provides the SACMEQ Data Archive to applicants on the basis of the intended use stated in the application. The applicant, therefore, should not use the data for any purpose other than the one stated in the application. Should the applicant(s) wish to use the data for a purpose other than that stated in the agreement, then he\/she\/they must first secure the written approval of SACMEQ before he\/she\/they proceed to do so. \n \n3.6 SACMEQ data are provided for the sole and exclusive use of the applicant specified in the agreement. The successful applicant should, therefore, not share the SACMEQ Data Archive with, or pass it on to, any other unauthorized person(s). \n \n3.7 The authorized user shall take responsibility for the safe custody of the SACMEQ Data Archive and also take reasonable steps to ensure that no unauthorized persons gain access to it. \n \n3.8 The authorized user shall give due credit to SACMEQ for providing the Data Archive by providing written acknowledgement of this in any publication emanating from their use. \n \n3.9 As the Data Archive remains the property of the SACMEQ, no other person(s), including the successful applicants or the member Ministry, shall re-distribute or offer for sale the SACMEQ Data Archive. \n \n3.10 All reports based on the SACMEQ Data Archive have to secure the written approval of the SCC prior to the publication in order to confirm compliance to our terms and conditions, and also to ensure that there is no misunderstanding or misinterpretation of the data.\n \n3.11 Once authorization has been granted to access the archive, you will see a link on the website which will take you to the Data Archive.\n \n3.12 All relevant NRC s will be informed by the SCC about the recipients of the SACMEQ Data Archive.\n \n3.13 Full acknowledgement of the source of the data (including reference to the SACMEQ Data Archive) must be given whenever the data are used.\n \n3.14 A copy of any published article or report based on the SACMEQ Data Archive must be provided free of charge to (a) the SACMEQ Co-ordinating Centre, and (b) the Ministry(ies) of Education from whose data the report has been generated.","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"data_files":[{"file_id":"F1","file_name":"d0105rumm_impute","description":"Merged pupil level data 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