A guide for practitioners

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Table of ContentsList of FiguresvAbbreviationsviAcknowledgementsvii1 Introduction 12 Results-based monitoring and evaluation 32.1 Results-based management 32.2 Results chain or logical model 32.3 Performance framework 62.4 Performance measurement framework 82.5 Implementation-focused vs. results-based M&E 92.6 Uses of M&E information 103 Relationships between the concepts and practices of monitoring and evaluation 133.1 Monitoring information to support result-based management (RBM) 133.2 Evaluative information to support results-based management systems 153.3 Differences and complementarities of monitoring and evaluation 214 Participatory monitoring and evaluation 234.1 Nature of participatory monitoring and evaluation 234.2 Uses of PM&E 244.3 Fundamental principles of PM&E 254.4 Implementing PM&E 265 Selecting results (outcomes) to monitor and evaluate 285.1 Qualities of good result statements 285.2 Process of selecting result statements 286 Selecting key performance indicators 326.1 Characteristics of good performance indicators 336.2 Types of indicators 346.3 Constructing indicators 367 Setting baselines and targets 387.1 Setting baselines 387.2 Setting targets 388 Data collection and analysis 408.1 Source of data and frequency of data collection 408.2 Data collection methods and instruments 418.3 Choosing data collection method 458.4 Preparations for data collection 458.5 Data analysis 46iii
9 Reporting and using monitoring and evaluation information 499.1 Reporting M&E information 499.2 Using M&E information 5010 Institutionalizing and sustaining the RBM&E system 5210.1 Institutionalizing RBM&E 5210.2 Sustaining RBM&E 5210.3 The importance of incentives and disincentives in sustaining RBM&E systems 5310.4 Challenges in institutionalizing and sustaining RBM&E systems 54References 56Annex 1 Glossary of common M&E terms (OECD 2002) 57iv
Page 1 and 2: Improving Productivity and Market S
Page 3: Authors’ affiliationsBerhanu Gebr
Page 7 and 8: AbbreviationsANOVABoARDCBOCIDADACHD
Page 9 and 10: 1 IntroductionAgricultural developm
Page 11 and 12: 2 Results-based monitoring and eval
Page 13 and 14: OutputsOutputs are direct products
Page 15 and 16: (outputs), and/or the change in acc
Page 17 and 18: to systematically collect relevant
Page 19 and 20: Ultimate outcome(long-termimproveme
Page 21 and 22: 3 Relationships between the concept
Page 23 and 24: outputs) and outcome targets is cru
Page 25 and 26: the quality of new or renewed proje
Page 27 and 28: intervention had not taken place?
Page 29 and 30: 3.3 Differences and complementariti
Page 31 and 32: 4 Participatory monitoring and eval
Page 33 and 34: 4.3 Fundamental principles of PM&EF
Page 35 and 36: how the results are to be used. End
Page 37 and 38: involved in selecting the results s
Page 39 and 40: 4.5.6.Note that implementation focu
Page 41 and 42: contributions to the achievement of
Page 43 and 44: Quantitative vs. qualitative indica
Page 45 and 46: learning, reporting and decision-ma
Page 47 and 48: Targets are established for each in
Page 49 and 50: possibility when primary data colle
Page 51 and 52: an initial review of the literature
Page 53 and 54: Field experimentsIn rare cases, con
Page 55 and 56:
8.5.1 Qualitative vs. quantitative
Page 57 and 58:
9 Reporting and using monitoring an
Page 59 and 60:
management in M&E implies capturing
Page 61 and 62:
Clear roles and responsibilitiesCle
Page 63 and 64:
addressed. First, there are issues
Page 65 and 66:
Annex 1 Glossary of common M&E term
Page 67 and 68:
Note: An activity is economical whe
Page 69 and 70:
LLessons learned: Generalizations b
Page 71 and 72:
RReach: The beneficiaries and other
Page 74:
ISBN 92-9146-245-4Federal Democrati
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