Holis&c M&E uses a gender sensi&ve, data driven approach with mixed methodologies to improve accountability, partnerships, and program learning. Key outcomes include increased transparency, sustainable results, and capacity building. NVivo so`ware helps code and analyze qualita&ve data, while STATA can import codes and run complementary quan&ta&ve analysis. The document provides &ps on using these tools at different stages of the M&E process.

1. Holis&c
M&E
with
NVivo
Jillian
Foster
CEO;
Gender/Women,
Peace
&
Security
Advisor
jillian.foster@g-­‐insight.org

2. What
is
M&E?
Itera&ve
success,
rather
than
failure
Monitoring
System
for
data
gathering
&
con7nuous
repor7ng
Periodic
progress
repor7ng
Iden7fica7on
of:
- Small
programma7c
adjustments
- Capacity
development
needs
Outcomes:
- Improved
repor7ng
- Capacity
building
- Increased
&
improved
teamwork
- Improved
efficiency
&
effec7veness
Evalua7on
Full
repor7ng
of
results
Iden7fica7on
of
roadblocks
Offering
of
recommenda7ons
Outcomes:
- Program
learning
- Transparency
- Sustainable
results
- Improved
donor-­‐implementer
partnership
- Poten7al
for
advocacy

3. When
to
do
holis&c
M&E?
1) Project
Design
2) Baseline
EvaluaPon
3) Midterm
EvaluaPon
4) Endline/Final
EvaluaPon
Source:
M&E
Guidelines
for
UN
Coherence,
Efficiency
and
Effec&veness

4. What
is
holis&c
M&E?
(1)
Gender
sensiPve,
(2)
Data
driven,
(3)
Mixed
methodologies

5. Using
NVivo
for
M&E
Hint:
Coding
interviews
by
ques&on,
with
a
code
for
‘quote,’
can
later
speed
up
your
search
for
par&cularly
persuasive
quotes.
Helpful
Tips:
a) Apply
a
gender-­‐sensiPve
lens
to
every
piece
of
work
you
do.
b) Look
for
words
or
phrases
that
repeatedly
appear.
c) Code
in
research
groups
to
help
idenPfy
areas
of
difficult
interpretaPon.
Your
Code
Flow
1) Code
with
broad
nodes
2) Code
with
narrow,
per
X
metric,
nodes
3) Code
with
text
queries
4) Analyze
at
the
intersecPon
of
nodes

6. Bridging
NVivo
with
STATA
Hint:
Quotes
are
useful
to
break
up
large
sec&ons
of
quan&ta&ve
data
analysis.
Think
of
big
data
as
global
and
qualita&ve
data
as
local.
1) Import
Codes
from
Nvivo
à
XLS
à
STATA
Or
1) Import
complimentary
dataset
2) Recode
using
similar
variable
names
as
NVivo
nodes
3) Run
analysis
in
similar
pabern
to
research
quesPons
explored
in
NVivo

9. Holis&c
M&E
for
Donors
&
Implementers
Lens:
Gender
sensi&ve,
Data
driven,
Mixed
methodologies
Crucial
Secondary
Outcomes:
• Sustainable
results
• Increased
and
more
stable
funding
• Improved
reporPng
• Capacity
building
• Increased
&
improved
teamwork
• Improved
efficiency
&
effecPveness
• PotenPal
for
advocacy
Cri7cal
DIRECT
Outcomes:
1. Increased
transparency
&
accountability
2. Improved
donor-­‐
implementer
partnership
3. Program
learning
More
Info
on
NVivo
Process
here:
hbp://blog.qsrinternaPonal.com/using-­‐
nvivo-­‐for-­‐mixed-­‐methods-­‐research/

10. Data
Analysis
Agile
Measurement
Tools
Ÿ
Infographics
Ÿ
Reports
Ÿ
Research
Ÿ
Data
VisualizaPon
Monitoring
&
Evalua7on
Building
Custom
M&E
Frameworks
Ÿ
Gathering
and
Analyzing
Data
to
Inform
Larger
EvaluaPons
Ÿ
Advising
on
Indicator
and
Measurement
Tools
SelecPon
Ÿ
Full-­‐scale
Baseline,
Midterm,
or
Final
EvaluaPons
Bespoke
Research
Meta
or
Sectoral
Reviews
Ÿ
Fact-­‐finding
Reports
Ÿ
Field
Assessments
Ÿ
Stakeholder
and
Resource
Mapping
Ÿ
Empirical
Studies
Jillian
Foster
CEO;
Gender/Women,
Peace
&
Security
Advisor
jillian.foster@g-­‐insight.org
www.g-­‐insight.org