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Diana Wu's Zoom Meeting - Shared screen with speaker view
Amira
32:42
can we mute all participants
Rwilton
33:49
Did we lose audio?
ghislaine
33:49
Im not hearing you
ghislaine
33:57
ok
fornerod
35:44
Sébastien Fornerod here, from CARE Norway program's department.
Abbey McDaniel
35:57
Abbey - CUSA - Program Officer for Gender and SRHR
Birgit Pfeifer
36:00
Birgit Pfeifer, CARE Germany
Rwilton
36:01
Hi Rebecca here from the global Women's Economic Empowerment team
Kjersti Dale
36:11
Kjerst Dale, C-Norway
Hilary Mathews
36:12
Hi! This is Hilary from CUSA GJ team. Great to be with you all.
Martins
36:13
Hi Sonia from CARE UK
Jay Goulden
36:19
Hi, everyone, Jay here from the CI Secretariat program team...
ghislaine
36:20
Ghislaine FOUDA, Programme manager CARE Cameroon
Fatou Alfa Cissé
36:22
Hi, Fatou, CARE Canada
Tirzah Brown
36:24
Tirzah- Program officer Tipping Point C-USA :)
Janis Corda
36:25
Hello everybody, Janis from CARE UK
EverjoyMa
36:28
Everjoy: SAIGS, HHOF
Anna Hidayat
36:28
Anna Hidayat, Humanitarian Team Leader, CARE Nigeria
Axel Martin-Aronsson
36:31
Hi, Axel from CARE Norway
Elizabeth Brezovich
36:32
This is Elizabeth Brezovich from CARE USA, working with Tipping Point
Amira
36:46
Amira Hussein -MENA - Based in CARE Egypt
AAgazi
36:54
Hello, I am Alem from CARE Ethiopia, SRH coordinator
Suniti
36:58
Hi I am Suniti Neogy with the Gender Justice team, working on Tipping Point project and with gender cohort
Amy
37:01
Hi all - Amy from CARE’s Gender Justice Team based in Rwanda.
Christophersen
37:06
Maria Christophersen, also from CARE Norway program's department.
LindaTav
37:11
Hie Everyone im Lindah Care Zimbabwe
care
37:12
My name is Isaac macauley - Cameroon
Moses Ngulube
37:30
Moses, from the Inclusive Governance Team
Khatuna Madurashvili
37:35
Hi everyone, this is Khatuna Madurashvili from MENA RMU
Suraiya
37:58
hi everyone. I am Suraiya Sultana from CARE Bangladesh, working with Tipping point team
KonoTange
38:09
Hi, this is Lenneke from CARE Nederland
Hanitra Njatonirina
38:26
Hi everyone, I am Hanitra frome CARE Madagascar
Ama Bartimeus
38:38
Hi everyone. This is Ama Bartimeus from West Africa
Carestaff
39:04
Hi everyone this Rajan from CARE Nepal working under LEAD (Tipping Point Initiative)
Yuleidy Merida
39:48
HI, this is Yuleidy Merida (CARE USA), Knowledge Management and Communications TA for the Tipping Point project
Ghislaine Alinsato
40:08
Warm welcome to everybody
Ghislaine Alinsato
42:03
I'm Ghislaine, SRHR Tech ADvisor, West Africa
Jay Goulden
57:59
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?
Leigh Stefanik
58:52
interesting, Jay! let's pose that to the presenters in the discussion
Christian Pennotti
59:55
This is really amazing work and insights and tool for us all.
Carestaff
01:01:11
How do we major these changes from Baseline and endline were only from our intervention. Was there analysis done on this.
Christian Pennotti
01:01:42
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?
Leigh Stefanik
01:02:14
yes! Abdiboru is using it for qual vignettes and surveys in a 3 arm control study
Leigh Stefanik
01:02:19
endline 2020
KatieWhipkey
01:02:36
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?
Jay Goulden
01:02:48
Abdiboru is an expansion of TESFA, right, Leigh?
Ximena Echeverria
01:03:00
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)?
Leigh Stefanik
01:03:33
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
Martins
01:03:35
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.
Christian Pennotti
01:03:44
Awesome Alem! Thanks.
Leigh Stefanik
01:04:16
@Jay, Abdiboru is not a geo expansion of TESFA, but more of an adaptation - different area, married and unmarried girls (not just married girls)
Leigh Stefanik
01:04:48
and younger girls (10-14 vs 10-19)
KonoTange
01:05:42
@ 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.
Leigh Stefanik
01:06:32
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
Daniella Charles
01:07:17
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?
KonoTange
01:08:22
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
Clement Bisai
01:09:23
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?
Leigh Stefanik
01:13:14
yes we have also developed quant survey measures for norms in Sri Lanka and Abdiboru for instance.
Anna Hidayat
01:23:03
Very interesting presentation, thank you! Any experiences and lesson learnt using SNAP in the humanitarian assistances with dynamic security context?
Martins
01:23:11
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?
Carestaff
01:24:09
for social norm analysis the important required is the probing
KonoTange
01:25:16
From CARE Nederland, we are also very interested to learn about the potential to adapt vignettes in a humanitarian setting
Leigh Stefanik
01:26:32
SNAP has not yet been used in humanitarian, but UNICEF has piloted some quant survey measures for norms in Somalia and S Sudan
Anna Hidayat
01:27:45
Thanks Leigh, do you have link for that?
Leigh Stefanik
01:29:24
https://www.ncbi.nlm.nih.gov/pubmed/30899324
Leigh Stefanik
01:32:16
this too https://www.ncbi.nlm.nih.gov/pubmed/30872541
Anna Hidayat
01:36:35
Many Thanks!
Leigh Stefanik
01:37:09
@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
care
01:43:38
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.
Laura
01:44:10
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.
Elizabeth Brezovich
01:48:38
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.
Carestaff
01:50:08
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
Jay Goulden
01:51:21
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!
Jay Goulden
01:54:40
Leigh - can you share the quant tools you mentioned?
Yuleidy Merida
01:56:24
Tipping Point Innovation Briefs https://caretippingpoint.org/innovation/
EverjoyMa
01:56:45
When you did the baseline and endline, were you trackng the same group of girls or it was reflection at community level?
Leigh Stefanik
01:58:20
yes @ Jay G - we can share abdiboru survey and baseline report, can you email alem and I?
Amy
02:00:21
Excellent presentation, everyone! Thank you for sharing the useful learning!
Martins
02:00:29
Thank you all!
Daniella Charles
02:00:29
Thanks to everyone
Abbey McDaniel
02:00:31
Thank you!
Rwilton
02:00:35
Really interesting - thanks!
Christophersen
02:00:39
Thank you!
LindaTav
02:00:39
very informative indeed
Carestaff
02:00:42
Thank you everyone and the host
Agnes Neray
02:00:43
Thank you so much, it was really great
fornerod
02:00:45
Thank you, very interesting!
Tirzah Brown
02:00:46
Thanks!
fabio
02:00:51
thanks!
Elizabeth Brezovich
02:00:53
Thakns everyone!
care
02:00:59
Thanks to every one. It was a very good and learning session
joelle nwind
02:01:16
Thanks!
Ghislaine Alinsato
02:01:22
Thanks you
cica
02:01:28
thanks really nteresting