Technical Overview MIRA MIRA 2013 - Pakistan Outline Survey of - - PowerPoint PPT Presentation

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Technical Overview MIRA MIRA 2013 - Pakistan Outline Survey of - - PowerPoint PPT Presentation

Technical Overview MIRA MIRA 2013 - Pakistan Outline Survey of Surveys MIRA Overview MIRA Scope MIRA Tool and Approach MIRA Data Capture Sampling MIRA Key Informant MIRA Key Informant Interview Techniques


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SLIDE 1

Technical Overview MIRA MIRA

2013 - Pakistan

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SLIDE 2

Outline

Survey of Surveys MIRA Overview MIRA Scope MIRA Tool and Approach MIRA Data Capture Sampling MIRA Key Informant

ASSESSMENT

WORKING GROUP

MIRA Key Informant Interview Techniques ToT – Key Points Use of Satellite Imagery Use of PDAs Simulation Exercise

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It doesn’t matter how many resources you have Information is a basic need in humanitarian response

ASSESSMENT

WORKING GROUP

If you don’t know how to use them, it will never be enough.

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SLIDE 4

Survey of Surveys/ Assessment Registry

ASSESSMENT

WORKING GROUP

http://pakresponse.org/pak/sos

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MIRA Scope

Extent and scale Priorities and needs

Remote Sensing i.e. analysis of satellite imageries

Land scan 2010 for population density

Community level assessment Sample based survey

Statistically representative to districts Distribution is proportionate

ASSESSMENT

WORKING GROUP

population density

Verification against government data and local authorities

Post disaster district check list Distribution is proportionate to affected population for Tehsils/Talukas

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SLIDE 6

MIRA Tool and Approach

Tool Approach

Key Informant Interviews (Gender-balanced)

1 Male 1 Female

  • Structured interview
  • Pre-developed questionnaire

(feeding into analysis framework)

  • Multi-sector coverage

ASSESSMENT

WORKING GROUP

Direct Observation

1 per site

  • Pre-developed checklist
  • Validate KI Interviews

MIRA District Checklist

  • Pre-disaster district checklist
  • Post-disaster district checklist

(affected Pop and Damages)

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SLIDE 7

MIRA Data Capture

Tool Advantaged Usage Paper-based questionnaire Require no knowledge of technology Easily accepted by communities Government response Joint response in areas of sensitivity

ASSESSMENT

WORKING GROUP

sensitivity Digital input (PDA/Smart phone technology) Direct data (real-time) input – improve quality and effectiveness Joint response

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SLIDE 8

Sampling

ASSESSMENT

WORKING GROUP

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SLIDE 9

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

Method of selection and sampling

ASSESSMENT

WORKING GROUP

The sample is then distributed among the Tehsil/Talukas using PPS (Proportionate to Population Size) sample allocation method. Sample villages Selection using “Simple Random Selection Method”.

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SLIDE 10

And Where:

  • SS = Sample Size

Sample size calculation formula

ASSESSMENT

WORKING GROUP

  • 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

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SLIDE 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:

Planned Assessed Assessed Confidence Level Total % Female

ASSESSMENT

WORKING GROUP

District Planned Sample Size Assessed Men KI Assessed Women KI Level according to assessed sites Total Assessed KI % Female KI Assessed Rajanpur 119 93 63 80% 156 40% Jacobabad 174 115 85 80% 200 43% Kashmore 129 115 53 85% 168 32% Jafferabad 151 127 78 90% 205 38% Naseerabad 73 73 20 95% 93 22% Total 646 523 299 86% 822 36%

Due to accessibility issues all the sampled sites could not be assessed, however, this will not effect the results significantly.

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SLIDE 12

MIRA Key Informant

ASSESSMENT

WORKING GROUP

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SLIDE 13

MIRA Key Informant selection 1 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

ASSESSMENT

WORKING GROUP

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.

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SLIDE 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

ASSESSMENT

WORKING GROUP

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

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SLIDE 15

Interview Techniques

ASSESSMENT

WORKING GROUP

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SLIDE 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,

ASSESSMENT

WORKING GROUP

Describe the objectives of the interview/assessment, the expected length, the collection method (e.g. PDA) Request informed consent for conducting interview

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SLIDE 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

ASSESSMENT

WORKING GROUP

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

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SLIDE 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

ASSESSMENT

WORKING GROUP

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

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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

ASSESSMENT

WORKING GROUP

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

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SLIDE 20

Interview don'ts

Don’t get stuck on a question Do not argue with a team member about a question

  • r questioning method

If the KI is uncomfortable with the questions, do not insist they answer

ASSESSMENT

WORKING GROUP

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

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SLIDE 21

ToT – Key Points

ASSESSMENT

WORKING GROUP

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SLIDE 22
  • ASSESSMENT

WORKING GROUP

!"" !" #$

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SLIDE 23

Key elements of MIRA knowledge

"#!"# #%"# #" !"" ! ""

ASSESSMENT

WORKING GROUP

! "" "## & " !$$ '(($# ##

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SLIDE 24

Use of Satellite Imagery

ASSESSMENT

WORKING GROUP

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SLIDE 25

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

Sample Selection Affected / Population Calculation

ASSESSMENT

WORKING GROUP

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.

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SLIDE 26

ASSESSMENT

WORKING GROUP

%$$% &'()$*+'*

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SLIDE 27

ASSESSMENT

WORKING GROUP

% &,+)$*+'*

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SLIDE 28

% &-.*+'*

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SLIDE 29

ASSESSMENT

WORKING GROUP

% &'(.*+'*

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SLIDE 30

ASSESSMENT

WORKING GROUP

3

% &'(.*+'* %

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SLIDE 31

Field Data Collection Use of PDAs

ASSESSMENT

WORKING GROUP

Use of PDAs

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SLIDE 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.

ASSESSMENT

WORKING GROUP

Available in different screen sizes as required.

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SLIDE 33

Conventional System of Assessment (Paper based)

Questionnaire Design Field Data Collection Form Compilation Data Entry Data Cleaning Data Analysis

Paper based Computer based Computer based

ASSESSMENT

WORKING GROUP

Questionnaire Design Field Data Collection Form compilation Data Entry Data Cleaning Data Analysis

Computer based

Using mobile devices

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SLIDE 34

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

Online Data Server

ASSESSMENT

WORKING GROUP

collection – Live data monitoring Data manager (OCHA) maintain and have access to data along with technical team members

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SLIDE 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

  • pen-source set of tools which provide mobile data collection

solutions.

ASSESSMENT

WORKING GROUP

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

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SLIDE 36

Data Collection – MIRA 2012 (Contd.)

One Data Manager was assigned from OCHA IM section to monitor the server, data and forms Data entry checks were enforced to ensure the quality of data The data was viewed and cleaned on real-time by the data manager

ASSESSMENT

WORKING GROUP

manager The data was further cleaned by the analysis team Then the data was available for analysis to the analysis team and cluster IMOs and cluster leads The data was analyzed based on set templates and shared with cluster leads for endorsement

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SLIDE 37

PDA Setting

http://mirapk.info User Name: mira Password: mira123

ASSESSMENT

WORKING GROUP

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SLIDE 38

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

ASSESSMENT

WORKING GROUP

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

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SLIDE 39

Asadullah Khan Assessment Coordinator, UNOCHA, Islamabad Khan67@un.org – 0302-8519871 Zeeshan Ahmad Qamar Information Management Officer, UNOCHA, Islamabad

ASSESSMENT

WORKING GROUP

Islamabad qamar@un.org – 0302-8519883

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