Reconstructing Baseline Data for Impact Evaluation and Results Measurement
Many international development agencies
and some national governments base future budget planning
and policy decisions on a systematic assessment of the
projects and programs in which they have already invested.
Results are assessed through Mid-Term Reviews (MTRs),
Implementation Completion Reports (ICRs), or through more
rigorous impact evaluations (IE), all of which require the
collection of baseline data before the project or program
begins. The baseline is compared with the MTR, ICR, or the
posttest IE measurement to estimate changes in the
indicators used to measure performance, outcomes, or
impacts. However, it is often the case that a baseline study
is not conducted, seriously limiting the possibility of
producing a rigorous assessment of project outcomes and
impacts. This note discusses the reasons why baseline
studies are often not conducted, even when they are included
in the project design and funds have been approved, and
describe strategies that can be used to
'reconstruct' baseline data at a later stage in
the project or program cycle.
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Bibliographic Details
| Main Author: |
Bamberger, Michael |
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| Language: | English |
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| Published: |
World Bank, Washington, DC
2010-11
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| Subjects: | ACCESS TO SERVICES,
ACTIVITY SCHEDULES,
BASELINE SURVEYS,
BENEFICIARIES,
BIASES,
BUSINESSES,
CERTIFICATES,
COMMUNITY PARTICIPATION,
COMPUTERS,
CONTROL GROUPS,
DATA COLLECTION,
ECONOMIC DEVELOPMENT,
EVALUATION METHODS,
EXPERIMENTAL DESIGNS,
FINANCIAL RESOURCES,
GOVERNMENT AGENCIES,
GROUP INTERVIEWS,
HOUSEHOLD INCOME,
HOUSEHOLD SURVEYS,
ICR,
IMPACT EVALUATION,
IMPLEMENTING AGENCY,
INCOME,
INCOME EXPENDITURE SURVEYS,
INTERVENTION,
KEY INFORMANT INTERVIEWS,
LANDLESS FARMERS,
LEARNING,
LIVING STANDARDS,
M&E SYSTEMS,
MARKET RESEARCH,
METHODOLOGY,
MONITORING DATA,
NEWSLETTER,
NONGOVERNMENTAL ORGANIZATIONS,
OUTCOME INDICATORS,
PARTICIPATORY RURAL APPRAISAL,
POVERTY MEASURES,
POVERTY REDUCTION,
PROBABILITY,
PROGRAM EVALUATION,
PROGRAMS,
PROJECT IMPACTS,
QUALITATIVE DATA,
QUALITATIVE RESEARCH,
QUALITY OF SERVICES,
QUANTITATIVE DATA,
QUANTITATIVE METHODS,
QUESTIONNAIRES,
RELIABILITY,
RESEARCHERS,
RESULT,
RESULTS,
ROAD IMPROVEMENTS,
SAMPLE SURVEYS,
SAMPLING FRAMES,
SCIENCES,
SITES,
SOCIOECONOMIC SURVEYS,
STATISTICAL TECHNIQUES,
TARGETING,
TECHNICAL EXPERTISE,
TECHNIQUES,
TRANSMISSION,
VALIDITY,
WEB,
WEB SITE, |
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| Online Access: | http://documents.worldbank.org/curated/en/2010/11/14964525/reconstructing-baseline-data-impact-evaluation-results-measurement
https://hdl.handle.net/10986/11075
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