Linganisha mbinu

	Logical Framework Approach	Participatory Impact Assessment
Nyanja	Development Studies	Development Studies
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1969	2014
Mwanzilishi	Leon Rosenberg / Practical Concepts Inc. for USAID; later NORAD, GTZ, European Commission	Andy Catley and colleagues, Feinstein International Center, Tufts University
Aina	Project planning, monitoring and evaluation framework	Participatory project impact assessment method
Chanzo asilia	NORAD (1999). The Logical Framework Approach (LFA): Handbook for Objectives-Oriented Planning (4th ed.). Norwegian Agency for Development Cooperation, Oslo.	Catley, A., Burns, J., Abebe, D., & Suji, O. (2014). Participatory Impact Assessment: A Design Guide. Somerville, MA: Feinstein International Center, Tufts University.
Majina mbadala	Logframe, LFA, Logical Framework Matrix, Objectives-Oriented Planning	PIA, Participatory Impact Evaluation, Community-Based Impact Assessment, Participatory Impact Measurement
Zinazohusiana	4	4
Muhtasari	The Logical Framework Approach (Logframe) is a structured planning, monitoring, and evaluation method that distils an intervention into a single four-by-four matrix linking a hierarchy of objectives to the indicators, evidence, and external conditions on which success depends. Originated by Leon Rosenberg of Practical Concepts Incorporated for USAID in 1969 and elaborated by agencies such as GTZ, NORAD, and the European Commission, it forces planners to make explicit the causal logic by which activities are expected to produce outputs, outcomes, and ultimately a development goal.	Participatory Impact Assessment (PIA) is an approach to measuring the impact of development and humanitarian projects in which the affected communities define the indicators of change and use participatory tools to quantify it. Developed and codified by Andy Catley and colleagues at Tufts University's Feinstein International Center, largely through work on livestock and livelihoods programmes in pastoralist settings, PIA adapts participatory rural appraisal methods to the disciplined logic of impact evaluation — combining locally meaningful indicators with before-and-after and with-and-without comparisons to assess what a project actually changed.