can we mute all participants
Did we lose audio?
Im not hearing you
Sébastien Fornerod here, from CARE Norway program's department.
Abbey - CUSA - Program Officer for Gender and SRHR
Birgit Pfeifer, CARE Germany
Hi Rebecca here from the global Women's Economic Empowerment team
Kjerst Dale, C-Norway
Hi! This is Hilary from CUSA GJ team. Great to be with you all.
Hi Sonia from CARE UK
Hi, everyone, Jay here from the CI Secretariat program team...
Ghislaine FOUDA, Programme manager CARE Cameroon
Fatou Alfa Cissé
Hi, Fatou, CARE Canada
Tirzah- Program officer Tipping Point C-USA :)
Hello everybody, Janis from CARE UK
Everjoy: SAIGS, HHOF
Anna Hidayat, Humanitarian Team Leader, CARE Nigeria
Hi, Axel from CARE Norway
This is Elizabeth Brezovich from CARE USA, working with Tipping Point
Amira Hussein -MENA - Based in CARE Egypt
Hello, I am Alem from CARE Ethiopia, SRH coordinator
Hi I am Suniti Neogy with the Gender Justice team, working on Tipping Point project and with gender cohort
Hi all - Amy from CARE’s Gender Justice Team based in Rwanda.
Maria Christophersen, also from CARE Norway program's department.
Hie Everyone im Lindah Care Zimbabwe
My name is Isaac macauley - Cameroon
Moses, from the Inclusive Governance Team
Hi everyone, this is Khatuna Madurashvili from MENA RMU
hi everyone. I am Suraiya Sultana from CARE Bangladesh, working with Tipping point team
Hi, this is Lenneke from CARE Nederland
Hi everyone, I am Hanitra frome CARE Madagascar
Hi everyone. This is Ama Bartimeus from West Africa
Hi everyone this Rajan from CARE Nepal working under LEAD (Tipping Point Initiative)
HI, this is Yuleidy Merida (CARE USA), Knowledge Management and Communications TA for the Tipping Point project
Warm welcome to everybody
I'm Ghislaine, SRHR Tech ADvisor, West Africa
How might we convert this qualitative data, into quantitative findings? e.g. this negative norm applied to X% at BL, and only Y% at endline, amongst Z girls in total?
interesting, Jay! let's pose that to the presenters in the discussion
This is really amazing work and insights and tool for us all.
How do we major these changes from Baseline and endline were only from our intervention. Was there analysis done on this.
During discussion, two questions: 1 - have we or will we use this in an eval that includes control groups? And also, do you feel the changes you’re seeing are reflective of community level change or household level change?
yes! Abdiboru is using it for qual vignettes and surveys in a 3 arm control study
What are different ways to identify norms in the first place? There are often norms that are so "normal" that people do not even recognize them as norms that could change. Or there may be norms that are quite unspoken that may not come up because they are taboo. Are there any tools/methodologies/etc. that can be used to identify norms?
Abdiboru is an expansion of TESFA, right, Leigh?
How do you "map" the norms in a given context and how do you prioritize which ones the project would focus on (e.g. via de vignettes)?
thanks Katie - there a lot of tools out there to identify norms. we have experimented with different methods for this ourselves, using different levels of rigor. I can share a slide on that in discussion if there is time, or please email me after for more ifo
Has the social norm measurement in this project been accompanied by measurement in behavior change in regards to IPV in the HH for example to confirm that changes in norms indeed translates in reduction of violence in this particular example.
Awesome Alem! Thanks.
@Jay, Abdiboru is not a geo expansion of TESFA, but more of an adaptation - different area, married and unmarried girls (not just married girls)
and younger girls (10-14 vs 10-19)
@ Katie & Leigh, we used SAA in one of our DRC projects to identify social norms. CARE Nederland & CARE DRC piloted using vignettes last year November. Unfortunately, I'll have to leave just before 14:00 but happy to share our experiences (about which we actually had a workshop last week in Rwanda with teams from 7 countries.
thanks Kono, please do share! we also revised an SAA tool for Abdiboru project in FGDs to identify the norms as part of formative research
That was an awesome presentation. where you able to break through the norms around delay in birth? If so, can you please elaborate on this a bit,please?
Interesting Leigh! I'll be in touch on this soon with my colleague Berlinda (who already reached out to you before) to give you an update and see how we can further share experiences/learn on SNAP & vignettes
I would agree with Jay's observation. Was there any efforts to qauntify the changes? The comparison between the baseline and endline gives the impression of 100% positive change. That's good and shows effectiveness of the SNAP. However, others would argue that 100% norms change should translate into real behavour change which is not easy to attain and may take long term. How long was the project and how deep rooted were the norms that were being tracked or measured?
yes we have also developed quant survey measures for norms in Sri Lanka and Abdiboru for instance.
Very interesting presentation, thank you! Any experiences and lesson learnt using SNAP in the humanitarian assistances with dynamic security context?
Thanks for the great presentations. Can presenters say a bit more about what it takes in terms of capacity and skills to do social norm analysis?
for social norm analysis the important required is the probing
From CARE Nederland, we are also very interested to learn about the potential to adapt vignettes in a humanitarian setting
SNAP has not yet been used in humanitarian, but UNICEF has piloted some quant survey measures for norms in Somalia and S Sudan
Thanks Leigh, do you have link for that?
this too https://www.ncbi.nlm.nih.gov/pubmed/30872541
@Christian - community-level change, as the tools ask about "most mother in laws in your communities," "or most husbands in your community" etc., and facilitator guides back to this concept of "most others/typical" rather than personal/singular examples
My question goes to the TESFA team. Among the main learnings I am interested in how the impressive shift in SN over a period of 2.5 years was monitored over time andhow you came to a conclusion.
To quantify you can try pairing this with IAT but that depends on the ability to develop the tool well, capacity etc. But I would generally query why we should want to quantify it in the first place.
Let me mention that Tipping Point Phase 2 is also trying to quantify using questions in community-level surveys. We do not have that data yet, but also it's important to know that trying to get quant data on "how high" is the sanction" etc. is not really possible within a survey... We just tried to get the basic information on perception of the normative expectation.
To quantify the change we have been collecting change stories of the particicular participants and tracking the number of changes over the time on the participants with whom we worked for the period of time. During the evaluation in Nepal we related the change that came from the SNAP and that we have been tracking over the project period
I would argue for pushing for quantification, where feasible, so we have an idea of how common the qualitative findings are...otherwise, we have no idea if these are one-off, cherry-picked examples, or universal changes, or where in between...also, without quantification, we can feed the learning into our global impact data analysis (the learning behind the numbers), but we can't include these experiences in our global impact data that we report to the world!
Leigh - can you share the quant tools you mentioned?
Tipping Point Innovation Briefs https://caretippingpoint.org/innovation/
When you did the baseline and endline, were you trackng the same group of girls or it was reflection at community level?
yes @ Jay G - we can share abdiboru survey and baseline report, can you email alem and I?
Excellent presentation, everyone! Thank you for sharing the useful learning!
Thank you all!
Thanks to everyone
Really interesting - thanks!
very informative indeed
Thank you everyone and the host
Thank you so much, it was really great
Thank you, very interesting!
Thanks to every one. It was a very good and learning session
thanks really nteresting