20 July 2023

OOSCI Operational Manual: Data sources and profiles of children

View in full by downloading the OOSCI Operational Manual, Data sources and indicators, The data sources and indicators section of the OOSCI Operational Manual includes the steps required to source, appraise, and prepare the data needed to conduct an OOSCI study, identify gaps and limitations, and produce the basic quantitative profile of out-of-school children and children at risk of dropout (RODO) in the country, including the…, Students with tablets in a school in Niamey, the capital of Niger. Step 1: Review data sources, quality, gaps and limitations, Every OOSCI study should contain a brief section that outlines the quantitative and qualitative data sources examined, the rationale for using those retained and a discussion of the data limitations and advice on the interpretation of indicators. Out-of-school children study teams are encouraged to access, download and use the Data Inventory and…, A boy learns how to read numbers on her first day in school after the summer holidays, Azerbaijan. Step 2: Calculate the 7DE indicators, The Out-of-School Children Initiative focuses on children out of school and those at risk of dropping out, over a wide age range. To help distinguish distinct groups of children for analysis and policy support, it uses a dimensions of exclusion framework, where each group of children is represented by a particular dimension. In line with the SDG 4…, Profiles of children, The profiles of children section of the OOSCI Operational Manual describes the process of drafting Chapter 2 of the study. This includes the steps required to produce the main profiles of out-of-school children and children at risk of dropping out of school. A ‘profile’ is a group of children in one or more of the 7DE with certain shared…, A young girl trying to solve a math with help from her teacher standing next her, Pakistan. Step 3: Conduct disaggregated data analysis, Disaggregated analysis is the comparison of indicator values for different characteristics or groups, to determine for whom and where the numbers or rates are the highest. Disaggregated data analysis is crucial to determine the key profiles of children, adolescents and youth out of school and at risk of dropping out. This is the analysis of…, irst day of school at Birere Primary School in Goma, DR Congo. Step 4: Analyse the flow of children in and out of the education system, Analysts are also advised to present complete profiles of children who left school early by identifying at what level and grade they left school. Step 4 enhances the findings in Steps 1, 2 and 3 by considering interaction with the education system over time to understand school exclusion. This step looks at the constriction in flows of children…, In a clean,bright child-friendly school environment, a girl figures out a math problem at Doujiang Township Primary School, China. Step 5: Cumulative risk analysis and other multivariate analyses, The data to develop profiles of children in the 7DE can be analysed using multivariate regression models. Such models are used to identify the strongest determinants of being out of school or dropping out, among the range of individual, household, community and school characteristics. Cumulative risk analysis (CRA) refers to the usage of simple…, Class 7 students of Bihdia Adarsha High School during a class in Bihdia, Assam, India. Step 6: Identify key profiles of out-of-school children and children at risk of dropping out, The OOSCI profiles chapter should present a synthesis of the most important characteristics and information about the children in the 7DE. This will form the basis for the barriers analysis and the focus for policies and strategies. For each dimension of exclusion, the chapter should clearly explain: who is most likely to be out of school or at…, Related resources