1. Online Session 4.2: Designing Methodologies and Data Collection
Thursday, 24 May
15h00 – 17h00 (Geneva time)
Please configure your audio & video for the Webinar
Please mute once you have checked your mic
Please message Fawad Hussain on webex chat or on Skype if you are having problems to configure audio

2. Webinar
Focus

3. Analysis Plan

4. ANALYTICAL FRAMEWORK
Provides analytical framework of information categories for secondary and primary data analysis.
Crisis Impact
Operational environment
Scope and scale of crisis
Conditions of affected population
Capacities and response
Humanitarian access

5. Analysis plan– What, where, how and why
What data is required to meet the objective?
How can this information be collected?
From what source(s) can the information be collected
What types of analyses will be required to interpret them
An analysis plan is a structured way of outlining the whole data collection by defining:
Information needs and indicator(s)
How the questions will be formulated
How the indicators will be summarised and compared
How the findings will be used in the final report
Repeat, know what you need to know and test your logic – if we ask this type of question; what type of answer will we get and what decisions will you take with this information?
By planning already from the start how the indicator will be used, what decisions it will inform and how we will use it in analysis (summarisation/comparison/interpretation), we ensure comparability across the whole assessment. The analysis plan will help you achieve this and should be finalised before the questionnaire
An analysis plan:
Should be developed in paralel with questionnaire
Should clearly define how each question will be aggregated and compared
Should also explain what information-need and descision making process the analysis will cover
Ensures that you only collect what you need to know and not nice to know
Defines unit of measurement and support sampling strategy
Enables smooth data processing

6. Analysis plan – link between the framework and your hypotheses
Efficiency – no waste of time: Only useful info is collected
Thoroughness – All the necessary information is collected
Feasibility - check information gaps and strengths of evidence
Plan B – If this is not available, then what is my next move?

7. Designing: Secondary Data Analysis
Humanitarian needs assessments is not a one-off event, but continues in a cycle.

8. Definition
A Secondary Data Analysis (SDA) is a rigorous process of data collation, synthesis and analysis building on a desk study of all relevant information available from different sources such as the government, NGOs, UN agencies, media, social media, etc.
Objectives are:
Verify and collect baseline information
Present an initial and quick situation overview
Identify gaps in knowledge and support design of field assessments
Support strategic planning

9. Type of data Operational picture Lessons learned Primary data
Crisis situation
Primary data
Pre-crisis situation
Operational picture

10. MIRA – Situation Analysis or Report
Outputs
MIRA – Situation Analysis or Report
HNO
Assessment Reports

11. Advantages Baseline Problems & Risks Future events Triangulation
Cost & Time
Remoteness

12. Managing secondary data – Tagging and coding information with 9 W-H’s
Affected area
Affected groups
Affected Sectors
Date
Immediate cause
Challenges with secondary data:
May be old
Usually national level, at best provincial
May provide figures without specifying how (or when) collected
Rarely disaggregated
Sometimes inconsistent
Reliability credibility issues:
What is the data source? Do they have the required expertise?
How consistent is this with other data (triangulation)
Is the information relevant to the current context or is it out-of-date? Do others with in-depth experience of the local situation find this plausible?
Do the “laws of physics” apply? Is it likely these data could be collected within this timeframe at that location?
What was the purpose of the data collection? Is the document’s coverage of the topic area broad or too narrow?
Team organization
From 1 to 3 people, depending on the depth of information required
Does not require extensive skills. Can be delegated, but requires coaching.
Can be done remotely
Preparedness can help, but...
Magnitude
Confidentiality
Reliability
Severity

13. Designing: Primary Data Collection

14. Coordinated Assessment
Harmonized (coord.)
Multiple assessments
with common questions
Common components of methodology
Joint (coord.)
Single assessment form
Single methodology
Single report
What is a methodology

16. Types of Assessment In depth – comprehensive and confirmatory
Rapid – targeted and explanatory
Initial – ‘quick and dirty’ exploratory

17. 1 2 3 4 5 6 9 7 8 A B C

18. Estimation of Humanitarian Population

19. Onion model (affected) HNO / MIRA / SitAn (in need) HNO / MIRA / SitAn
Total Population
Affected
(affected) HNO / MIRA / SitAn
In need
(in need) HNO / MIRA / SitAn
Targeted
(targeted) HRP/Flash / PMR
Reached
(Reached) PMR

20. Humanitarian Population Figures

21. People in Need Sub-set of the Population Affected
All those whose physical security, basic rights, dignity, living conditions or livelihoods are threatened or have been disrupted, AND
whose current level of access to basic services, goods and social protection is inadequate to re-establish normal living conditions with their accustomed means in a timely manner without additional assistance.

22. Berlin Logistics

23. Q&A / Discussion
Challenges of implementing harmonize assessments and joint assessments?