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Monitoring & Evaluation
- Data Management and Analysis for M&E in Development Programmes
- 14.07.2014 - 18.07.2014
- Sportsview Hotel Kasarani - Nairobi
- Monitoring & Evaluation
Statistics are a mainstay in the toolkit of program and policy evaluators. If evaluators are going to make sensible use of consultants reports, communicate effectively with funders, and understand others' evaluation reports, then they often need at least a conceptual understanding of relatively complex, recently developed statistical techniques.
Given the need for policymakers, programme implementing and funding organisations to justify their choice of social and economic interventions, it has become increasingly important to use 'evidence-based' criteria to decide what kind of programmes work, how, for whom, in what circumstances, and at what cost. Much evidence is quantitative in nature,
The purposes of this course are: to link common evaluation questions with appropriate statistical procedures; to offer a strong conceptual grounding in several important statistical procedures; and to describe how to interpret the results from the statistics in ways that are principled and will be persuasive to intended audiences and to equip those working in governments, funding agencies, and research and non-government organisations to understand, critique and make effective use of evidence from quantitative evaluation studies.
At the end if this training, participants should be able to:
- Understand both random and non-random sampling methods and their use in the M&E Context
- Establish or reconstruct a baseline and assess your project’s/program’s impact.
- Use current data collection technologies such as Social Media analytics and Mobile Data Gathering.
- Understand and Use data analysis software package (STATA).
- Understand a theory of causal inference that covers both random assignment and observational studies, including quasi-experimental and non-experimental studies
- Identify the assumptions needed to infer causality in evaluations
- Describe, compare and contrast six, promising alternatives to random assignment studies for inferring causality, including the requirements for implementing these designs, the strengths and weaknesses of each, and examples from evaluations where these designs have been applied.
- Understand the various Statistical method for monitoring and impact evaluation
- Use Geographic Information Systems (GIS) and GPS to gather data, collaborate and share information.
- Communicate findings to stimulate learning and reflection.
Key Concepts and Principles
- Defining key terms in M&E
- Introduction to result based monitoring
- Results Chain: inputs, processes, outputs, outcomes and impacts for development projects, programs or strategies
- Role of partners and stakeholders
- Result based indicators
- Relating Monitoring and evaluation to your project cycle
- Identifying the challenges facing Monitoring and evaluation professionals
Evaluation Research Designs
- Observational data, quasi-experiments and correlation studies
- Social experiments, natural experiments and randomized control trials
- Qualitative evaluation designs
- Evaluation survey design
Data Collection, Processing and Organization for M&E
- Conceptual issues in M&E data
- Data types and sources
- Planning data Collection
- ICT tool for Data processing
- Obtaining data from Social media
- Using Mobile phones for data collection
- Selecting study elements (Sampling)
- Designing a baseline
- Establishing baseline data for your project
Data Management and Analysis for Monitoring & Evaluation using STATA
- Comparison of Data analysis packages
- Basic data quality checks
- Basic exploratory data analysis procedures
- Introduction to Quantitative analysis
- Graphing qualitative data
- Graphing Quantitative data
- Performing common inferential statistical test (t-test, correlation, Chi Square, Analysis of variance (ANOVA)
- selection and placement biases
Quantitative Methods and Analysis for Impact Evaluation
- Revision of Basic econometrics
- Difference-in-Difference estimation
- Regression discontinuity
- Propensity score matching
- Fixed effects (within unit variance)
- Instrument Variable Technique
- Interrupted time series*
Communication and dissemination of evaluation evidence
- Communication and reporting for M&E
- Contemporarily methods of disseminating
GIS & GPS Techniques in M&E (To be covered if time permits)
- Introduction to Geographic Information System (GIS)
- Introduction to GIS Software (Quantum GIS)
- Mobile GPS Field Work
- Mapping M&E Indicators with Quantum GIS
- Participatory Mapping and collective intelligence (Google Maps, Google Earth)
The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.
All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.
The training is residential and will be held at The Sportsview Hotel, Kasarani. Applicants are highly encouraged to stay at the hotel where the training is held. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.
Accommodation is arranged upon request. For reservations contact the Training Officer.
Mob: +254 715 077 817
Tel: 020 211 3814
HOW TO APPLY
To apply for this course kindly Register Online in our website before C.O.B. 30th June 2014. For more details contact:
The Training Officer - Training and Research Department, Indepth Research Services;
Mob: +254 715 077 817
Tel: 020 211 3814
Payment should be transferred to IRES account through bank on or before C.O.B 7th July 2014.
Kindly use the table below to select the category you fall under
Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
- Participants may cancel attendance 14 days or more prior to thecommencement date.
- No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.
Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
- Sportsview Hotel Kasarani
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