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Using Mixed Methods in Monitoring and Evaluation : Experiences from International Development

This paper provides an overview of the various ways in which mixing qualitative and quantitative methods could add value to monitoring and evaluating development projects. In particular it examines how qualitative methods could address some of the...

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Bibliographic Details
Main Authors: Bamberger, Michael, Rao, Vijayendra, Woolcock, Michael
Language:English
Published: 2012
Subjects:
ACCOUNTABILITY
ANTIPOVERTY PROGRAMS
BENEFICIARY PARTICIPATION
COMPARISON GROUPS
CONTROL GROUPS
CORRUPTION
COUNTERFACTUAL
COUNTERFACTUALS
CULTURAL FACTORS
DATA COLLECTION
DATA REQUIREMENTS
DEVELOPMENT RESEARCH
DUMMY VARIABLES
ECONOMETRIC ANALYSIS
EVALUATION DESIGN
EVALUATION METHODS
EVALUATION STRATEGIES
EVALUATION TECHNIQUES
EVALUATORS
EXPERIMENTAL DESIGN
EXPERIMENTAL DESIGNS
EXTRAPOLATION
FIELD WORK
FLEXIBILITY
GOVERNMENT AGENCIES
HOUSEHOLD SURVEYS
HYPOTHESES
IMPACT ANALYSIS
IMPACT ASSESSMENT
IMPACT EVALUATION
IMPACT EVALUATION DESIGN
IMPACT INDICATORS
INCOME
INCOME DISTRIBUTION
INCOME INEQUALITY
INSTRUMENTAL VARIABLES
INTERNAL MONITORING
INTERVENTION
KEY INFORMANT INTERVIEWS
LABOR MARKETS
LEARNING
MATCHING METHODS
METHODOLOGICAL ISSUES
METHODOLOGIES
MODELING
MONITORING DATA
MORTALITY
OPINION POLLS
OUTCOME INDICATORS
PARTICIPATION RATES
PARTICIPATORY PROJECTS
PRA
PROGRAM ASSESSMENTS
PROGRAM EVALUATION
PROGRAM INTERVENTIONS
PROGRAM OUTCOMES
PROGRAMS
PROJECT BENEFICIARIES
PROJECT EVALUATION
PROJECT IMPACTS
PROJECT MANAGEMENT
PROJECT MONITORING
PROPENSITY SCORE MATCHING
QUALITATIVE DATA
QUALITATIVE EVALUATION
QUALITATIVE METHODS
QUALITATIVE RESEARCH
QUALITATIVE TOOLS
QUANTITATIVE DATA
QUANTITATIVE DATA COLLECTION METHODS
QUANTITATIVE EVALUATION
QUANTITATIVE METHODS
QUANTITATIVE RESEARCH
QUANTITATIVE SURVEYS
QUESTIONNAIRES
RANDOM SAMPLING
RANDOMIZATION
REGRESSION ANALYSES
REGRESSION ANALYSIS
RELIABILITY
REPRESENTATIVE SAMPLES
RESEARCH CENTERS
RESEARCH METHODS
RESEARCH WORKING PAPERS
RESEARCHERS
SAMPLE SELECTION
SAMPLE SURVEYS
SAMPLING FRAMES
SAMPLING TECHNIQUES
SCENARIO
SCENARIOS
SELECTION BIAS
SERVICE DELIVERY
STANDARD ERRORS
STATISTICAL ANALYSIS
STATISTICAL DATA
STATISTICAL INDICATORS
STATISTICAL METHODS
STATISTICAL SIGNIFICANCE
STATISTICAL TECHNIQUES
STATISTICIANS
STRUCTURAL MODELING
SURVEY DATA
SURVEY INSTRUMENTS
TECHNIQUES
TREATMENT EFFECTS
VALIDITY
Online Access:http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20100323100628
http://hdl.handle.net/10986/3732
Description
Summary:This paper provides an overview of the various ways in which mixing qualitative and quantitative methods could add value to monitoring and evaluating development projects. In particular it examines how qualitative methods could address some of the limitations of randomized trials and other quantitative impact evaluation methods; it also explores the importance of examining "process" in addition to "impact", distinguishing design from implementation failures, and the value of mixed methods in the real-time monitoring of projects. It concludes by suggesting topics for future research -- including the use of mixed methods in constructing counterfactuals, and in conducting reasonable evaluations within severe time and budget constraints.

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