Evaluation Certification (EC) — Monitoring & Evaluation

Background & concepts of M&E, learning, research & inspection; programme/policy cycle; logframe approach; indicators; theory of change; M&E frameworks & plans.

Purpose & principles; types of evaluation; a framework for evaluation; developing & designing an evaluation plan; tools; components; current challenges.

RBM cycle; results chain; results framework vs logframe vs ToC; performance measurement framework (PMF); managing for results.

UNEG norms & standards; independence & impartiality; ethics & do-no-harm; human rights & gender; quality assurance & governance.

M&E in design & proposals; evaluability at design; donor requirements & reporting; budgeting for M&E; start-up set-up.

Purpose of baselines/endlines; needs assessment (rapid & in-depth); baseline design; comparability; setting realistic targets.

Operationalisation; writing good questions; response scales; questionnaire structure & pre-testing; validity, reliability & measurement error.

Planning; evaluability; Terms of Reference; selecting & managing evaluators; commissioning steps; budgeting; management response & improvement plans.

Data types; methods (survey, KII, FGD, observation, records); sampling; mobile data collection; data-quality dimensions & DQA; data protection & ethics.

When to use qualitative methods; KII, FGD, observation; purposive sampling & saturation; coding & thematic analysis; rigour & ethics.

Sampling designs; sample size (confidence, margin, design effect); descriptive & inferential statistics; correlation vs causation; common mistakes.

Data lifecycle; informed consent & minimisation; protection & security; responsible data & do-no-harm; governance.

Data preparation; quantitative & qualitative analysis; interpretation against criteria; conclusions, recommendations & lessons; report writing; dissemination & visualisation.

M&E information systems; platforms (DHIS2, Kobo, Power BI); dashboards & visualisation; data governance & interoperability; AI links.

Choosing the right chart; honest, accessible design; dashboards; communicating for audiences; human-interest storytelling.

Geospatial data in M&E; GPS & geotagging; maps & GIS; remote sensing; ethics & ground-truthing.

Report structure; findings vs conclusions vs recommendations; writing for use; dissemination & management response.

Attribution vs contribution; the counterfactual; RCTs; quasi-experimental designs (DiD, PSM, RDD, IV); theory-based & participatory methods.

Utilization-focused evaluation & intended users; designing for use; developmental evaluation; matching formative/summative/developmental to the situation.

Participatory principles; Most Significant Change; Outcome Mapping & Harvesting; participatory tools; accountability to affected people.

Simple/complicated/complex; systems concepts; feedback & emergence; complexity-aware approaches; adapting indicators & methods.

Economic evaluation; CBA (NPV, BCR, discounting); CEA & cost-utility; Value for Money (4 Es); applications & limitations.

Ex-post framework & procedure; evaluation grid; sustainability; the National Evaluation Plan; stakeholder mapping, roles & responsibilities.

GEWE, intersectionality & HRBA; gender-responsive design; SADD; inclusive participatory methods; using findings for equity.

Humanitarian context; real-time evaluation; CHS & Sphere; accountability to affected populations; remote & third-party monitoring.

Conflict sensitivity & do-no-harm; conflict analysis (dividers/connectors); conflict-sensitive indicators; peacebuilding results; safety & ethics.

Climate & environment in M&E; evaluating resilience & adaptation; environmental safeguards; climate-sensitive indicators & GIS; cross-cutting integration.

Health & nutrition; education (EMIS); WASH; food security & livelihoods (IPC); common threads & national linkage.

Access, participation, learning & equity indicators; EMIS & data sources; measuring learning; gender & inclusion.

Health & nutrition indicators; DHIS2 & coverage surveys; MUAC/GAM; data quality & equity.

Water, sanitation & hygiene indicators; KAP survey; Sphere & functionality; gender, dignity & inclusion.

Food-security dimensions; FCS, rCSI, HDDS, HHS; IPC classification; livelihoods, markets & resilience.

Targeting, coverage & adequacy; post-distribution monitoring; outcomes & value for money; data protection.

Governance, peace & protection indicators; contribution & perception methods; conflict-sensitivity & data protection.

IDPs/refugees/returnees/hosts; tracking populations; durable solutions (IASC); host communities; data protection.

DRR & disaster cycle; risk & preparedness; anticipatory action & triggers; evaluating prevention; resilience links.

Livelihoods lens; income & assets; markets & value chains; economic recovery & resilience; measurement challenges.

Food-systems view; yields & adoption; livestock & rangeland; climate & market lens; seasonality.

Beyond trainees; employment & income outcomes; enterprise; tracer studies; equity for young women.

Behaviour-change pathway; KAP chain & the KAP gap; social norms; reach vs change; self-report bias.

Evidence-based vs evidence-informed decision-making; benefits, challenges & strategies; African examples; sector applications.

From data to learning; Collaborating, Learning & Adapting (CLA); knowledge management; feedback loops; building a learning culture.

Knowledge management; tacit vs explicit; capturing & sharing lessons; communities of practice; a learning culture.

Policy vs project evaluation; NDP-9 & Vision 2060; SDG monitoring & VNRs; whole-of-government M&E; policy-level challenges.

Evaluation in public management; components of evaluation systems; evaluation theories & designs; case studies of evaluation policy; linkages to wider ecosystems.

Commissioner role; procurement & selection; managing the process; quality-assuring deliverables; independence & use.

National evaluation capacity; evaluator competencies; VOPEs & Made in Africa evaluation; ethics & codes; strengthening Somalia's ecosystem.

Research vs evaluation; research design; proposal & literature review; rigour, validity & ethics; academic writing (IMRaD).

AI in data collection & analysis; predictive analytics & visualisation; case studies; ethics & future horizons; AI tools for evaluation.

Integrative capstone; complete evaluation design; findings to influence; future of evaluation (foresight, complexity, digital & AI); professional pathway.