1 / 39

Technical Overview MIRA 2013 - Pakistan

Technical Overview MIRA 2013 - Pakistan. Outline. Survey of Surveys MIRA Overview MIRA Scope MIRA Tool and Approach MIRA Data Capture Sampling MIRA Key Informant Interview Techniques ToT – Key Points Use of Satellite Imagery Use of PDAs Simulation Exercise.

brooklyn
Download Presentation

Technical Overview MIRA 2013 - Pakistan

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Technical Overview MIRA 2013 - Pakistan

  2. Outline • Survey of Surveys • MIRA Overview • MIRA Scope • MIRA Tool and Approach • MIRA Data Capture • Sampling • MIRA Key Informant • Interview Techniques • ToT – Key Points • Use of Satellite Imagery • Use of PDAs • Simulation Exercise

  3. It doesn’t matter how many resources you have Information is a basic need in humanitarian response If you don’t know how to use them, it will never be enough.

  4. Survey of Surveys/Assessment Registryhttp://pakresponse.org/pak/sos

  5. MIRA Scope

  6. MIRA Tool and Approach

  7. MIRA Data Capture

  8. Sampling

  9. Method of selection and sampling • The sample size is calculated to give results within certain reliability limits (5% margin of errors and 95% confidence level). In MIRA 2012, 5% margin of error and 90% confidence level. • The sample is then distributed among the Tehsil/Talukasusing PPS (Proportionate to Population Size) sample allocation method. • Sample villages Selection using “Simple Random Selection Method”.

  10. Sample size calculation formula And Where: • SS = Sample Size • Z = Z value (e.g. 1.96 for 95% confidence level) • p = percentage picking a choice, expressed as decimal (0.5 used for sample size needed) • C = confidence interval, expressed as decimal (e.g., .05 = ±5) • pop= population http://www.surveysystem.com/sscalc.htm

  11. Sampling of MIRA 2012 NDMA requested the Assessment Working Group (AWG) to assess the following 5 districts: • Rajanpur, Punjab • Jacobabad, Sindh • Kashmore, Sindh • Jafferabad, Balochistan • Naseerabad, Balochistan Sample size: Due to accessibility issues all the sampled sites could not be assessed, however, this will not effect the results significantly.

  12. MIRA Key Informant

  13. MIRA Key Informant selection1 Male and 1 Female per Site • Careful identification of Key Informants • The choice of Key Informants affects the result of the survey • Selection criteria for Key Informants • Knowledgeable of a wide range of issues: Population profile and figures, security/access, sector information • Example of roles: Community leader, leader of women’s group, religious leader, teacher, Lady health worker/Dai • Female key informants should not conveniently be female members of the male key informants rather identify a strong female key informant while selecting male key informant • Key Informant is representing the community including disadvantage groups • Minorities, extremely poor, displaced, etc.

  14. MIRA Key Informant Interviews • The assessment relies on the Key Informant to provide an overview of priorities and needs in community • One Male and One Female Key informant interview will be conducted from each sample community • A Key Informant can consist of more than one person • Responses recorded as consensus of people represented • The Key Informant should be objective and impartial, representing the needs of ALL population

  15. Interview Techniques

  16. Interview Do’s • Pay attention in the choice of the key informant, balancing time available good choice of respondent, gender and diversity considerations • Establish contact first by introducing yourself, team and organization (wear official the tags, if available) • Describe the objectives of the interview/assessment, the expected length, the collection method (e.g. PDA) • Request informed consent for conducting interview

  17. Interview Do’s • Hold the interview in a place that put the respondent(s) at ease • Respect the local customs, behaviors and beliefs. • Show empathy and friendly behavior, establish rapport and inspire confidence and trust • Speak clearly and repeat the question if necessary • Avoid using humanitarian acronyms', always spell the names or the concept (including MIRA) • Listen carefully, record data properly • Do not presume, do not assume the meaning of an answer, ask politely to repeat

  18. Interview Do’s • Pace yourself according to the time allotted for the interview • Note down your own observations about the process and content of the interview if you feel necessary • Go through all questions, check before the end • If key protection risks are expressed, refer them confidentially to Protection colleagues for appropriate and confidential follow up. • Thank the participant for making his or her time available

  19. Interview Don'ts • Don’t use judgmental tones that may influence responses • Don’t show non-serious attitude, maintain a professional tone • Don’t read immediately all the possible answers of the multi-response questions, let the respondent talk and note • Don’t try to influence the responses in any way • Avoid arguing with the respondent • Let the respondent articulate his/her response

  20. Interview don'ts • Don’t get stuck on a question • Do not argue with a team member about a question or questioning method • If the KI is uncomfortable with the questions, do not insist they answer • Don’t create expectations about future humanitarian support and promises you cannot keep • Don’t prevent respondents from asking you questions at the end of the interview

  21. ToT – Key Points

  22. ToTMIRA • Know your audience (knowledge level and working context) • Know your subject (MIRA process, methodology, tools) • Prepare (presentation delivery and Q&A) • Engage participants (interactive training, ask questions, group work etc) • Follow up (respond to questions and get training feedback etc)

  23. Key elements of MIRA knowledge • Questionnaire and observation sheet (clear understanding of questions in forms) • KI interviewing (identify KI (purposive selection of male and female), setting up the interview, interviewing to represent the question accurately) • Using the PDA (technical set up and use) • PAWG coordination (field assessments, who is doing the assessment where and when? Assessment monitoring and support) • Data management and analysis process (data nationally centralized, ATT basic analysis to feed partners and for final report)

  24. Use of Satellite Imagery

  25. Sample SelectionAffected / Population Calculation • Land Scan • Population distribution model, database, and tool developed from census using a uniform regular grid (roughly 1 by 1 km) • Representing estimated population as projected of 2012 with the population growth • Flood Extent • Satellite Imagery of inundated area • Produced from MODIS (Moderate Resolution Imaging Spectroradiometer) satellite image. • Population Calculation • By overlaying flood extents on land scan, population under the flood extent was considered as affected population.

  26. Maximum Flood Extent as of 14 September 2012

  27. Flood Extent as of 30 September 2012

  28. Flood Extent as of 9 October 2012

  29. Flood Extent as of 14 October 2012

  30. Flood Extent as of 14 October 2012 Flood Extent 14 October 2012

  31. Field Data CollectionUse of PDAs

  32. Mobile devices? • Mobile devices are now widely being used for data collection. • Using GPRS technology to send the data immediately as it is entered in the field. • Data entry is easy and friendly. • Available in different screen sizes as required.

  33. Conventional System of Assessment (Paper based) Computer based Paper based Computer based Using mobile devices Computer based

  34. Online Data Server • Real time data transfer from PDAs to the data server • Online data server (MIRA Server) placed in OCHA • Data available once entered into the PDAs • Data analysis and verification starts just after the data collection – Live data monitoring • Data manager (OCHA) maintain and have access to data along with technical team members

  35. Data Collection – MIRA 2012 • Data from the field was collected through Android based smart phones/tablets. • Open Data Kit (ODK) http://opendatakit.org is a free and open-source set of tools which provide mobile data collection solutions. • ODK used for: • Build the data collection form for mobile devices • Collect the data on a mobile devices and send it to a server; and • Aggregate the collected data on the server and extract it in useful formats e.g. Excel

  36. PDA Setting • http://mirapk.info • User Name: mira • Password: mira123

  37. Assessment Simulation Exercise • 2-3 participants – Uncoordinated Assessment • Will conduct individual assessments • A group of 2-3 participants – Coordinated Assessment • Will conduct the assessment together • 2-3 participants – Observers • Will observe the above-groups whether they are following interview techniques or not while collecting the assessment data • Remaining participants • Will act as key informant of their affected villages Information Required (in 30 minutes): • What is the total affected population • How many people have been displaced (total IDPs) • How many houses have been damaged with the breakdown of partially and fully damaged houses

  38. Asadullah KhanAssessment Coordinator, UNOCHA, IslamabadKhan67@un.org – 0302-8519871 Zeeshan Ahmad QamarInformation Management Officer, UNOCHA, Islamabadqamar@un.org – 0302-8519883Thank you

More Related