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Data Management and Analysis for M&E in Development Programmes Course

Njema Court, R2, Rhapta Road, Nairobi, Kenya

-1.2642103 36.7903268

Description

Event: Data Management and Analysis for M&E in Development Programmes Course Venue: Indepth Research Services, Nairobi, Kenya Event Date: 9th – 20thApril 2018 NITA CERTIFIED. RECENT CLIENTS INTRODUCTION 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. 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. DURATION 10 Days TRAINING OBJECTIVES 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. TOPICS TO BE COVERED 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 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 Visit our website for more details. How to participate Tailors make your course. Register individual. Register as a group. Become one of our partners. Purchase software’s Frequently asked Questions (FAQ’s) View related courses Data Management, Graphics and Statistical analysis using SPSS Course Data Management and Analysis for M&E in Development Programmes Course Data Management, Graphics and Statistical analysis using SPSS Course CSPro For Android and Smartphones Course Epidemiology and Biostatistics with Stata Course The most popular courses Integrated Soil Health and Fertility Management Course ICT for HIV/AIDS Surveillance and Reporting Course M & E, Data Management & Analysis for Health Sector Programmes Course ICT for Monitoring & Evaluation (M&E) Course GIS and Remote Sensing in Disaster Risk Management Course Participatory Rural development Action View course catalogue in Research Institute For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814, ACCOMMODATION Accommodation is arranged upon request. For reservations contact the Training Officer Email:outreach@indepthresearch.org.Mob: +254 715 077 817 Tel: 020 211 3814 PAYMENT Payment should be transferred to IRES account through bank on or before C.O.B.2nd April 2018 Send proof of payment to outreach@indepthresearch.org

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Start: 2018-04-02T09:00:00+03:00

End: 2018-05-06T17:00:00+03:00

Tickets

Individual Registration 2.2e3 USD