Annex 20 to the NIAF Information Sources and

Transcript:Annex 20 to the NIAF Information Sources and:
Annex 20 to the NIAF Information Sources and Methods of Data collection - A Practical Tool to Child Protection Analysis A guided tour from Decision-Making to Information Needs, Questions and Datasets and back to making decisions for CP! Slides 1-7: How we move from decisions to data Slides 8-10: Overview of Methods of data collection for CP Analysis Slides 11-38: Data, sources and information needs for each CP main Decision (and CP risk) 2 Start from Use not from Questions Walking backwards 3 We start from the DECISIONS that the you have to make How do we find the data we need for the decisions we have to make- in 4 steps? 1/4 4 Then we identify what information we need to make those decisions How do we find the data we need for the decisions we have to make? 2/4 5 And identify the method, source and phrasing to obtain each info How do we find the data we need for the decisions we have to make? 3/4 6 And give an example of what the results will look like How do we find the data we need for the decisions we have to make? 4/4 7 Overview of Methods of Data Collection for CP Analysis Child Protection AoR: Information, Methodologies and Analysis - NIAF Annex Analysis considers multiple datasets from different sources, obtained through different methods. This enables validation, spotting of errors, identification of areas of further inquiry and increased understanding. Each method of data collection provides information at a specific Unit of Measurement or Unit of Analysis Decisions on response Various Sources, including UNICEF, IOM, ACAPS/Pherson, Okular Analytics, UNHCR & EDAUUR (Grand Bargain) Analysis refers to the organized process of transforming raw data into actionable insights, for better decision- making. Most forms of analysis can be described as levels, where one builds on another, each increasing the understanding of the findings and revealing progressively what the data means, what may happen next and what could / should be done about it. Six levels are commonly used for data analysis, (see image on the left). Different levels of analysis are the responsibility of different actors (as indicated in the image to the left): Decision-Makers, Subject Matter Experts (e.g., CP), Cultural /Context Experts & IM. Different methods of data collection provide different types of information Key Informants Interviews (enumerators and respondents are NOT CP Experts), e.g., DTM MSLA :