Combining Quantitative and Qualitative Methods for Program Monitoring and Evaluation: Why Are Mixed-Method Designs Best?

Vista sencilla de ítem
dc.creatorAdato, Michelle
dc.date2012-08-13T14:02:01Z
dc.date2012-08-13T14:02:01Z
dc.date2011-05
dc.date.accessioned2026-07-01T00:55:25Z
dc.descriptionDespite significant methodological advances, much program evaluation and monitoring data are of limited utility because of an over-reliance on quantitative methods alone. While surveys provide generalizable findings on what outcomes or impacts have or have not occurred, qualitative methods are better able to identify the underlying explanations for these outcomes and impacts, and therefore enable more effective responses. Qualitative methods also inform survey design, identify social and institutional drivers and impacts that are hard to quantify, uncover unanticipated issues, and trace impact pathways. When used together, quantitative and qualitative approaches provide more coherent, reliable, and useful conclusions than do each on their own. This note identifies key elements of good mixed-method design and provides examples of these principles applied in several countries.
dc.formatapplication/pdf
dc.formattext/plain
dc.identifierhttp://documents.worldbank.org/curated/en/2011/05/14981149/combining-quantitative-qualitative-methods-program-monitoring-evaluation-mixed--method-designs-best
dc.identifierhttps://hdl.handle.net/10986/11063
dc.identifierhttps://doi.org/10.1596/11063
dc.identifier.urihttp://hdl.handle.net/123456789/412999
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.relationPREM Notes and Special Series on the Nuts and Bolts of Government M&E Systems; No. 9
dc.rightsCC BY 3.0 IGO
dc.rightshttp://creativecommons.org/licenses/by/3.0/igo/
dc.rightsWorld Bank
dc.subjectAGRICULTURAL RESEARCH
dc.subjectAGRICULTURE
dc.subjectBENEFICIARIES
dc.subjectCORRECTIVE ACTIONS
dc.subjectCORRECTIVE MEASURES
dc.subjectCROPS
dc.subjectDATA ANALYSIS
dc.subjectDATA COLLECTION
dc.subjectECONOMETRIC ANALYSIS
dc.subjectEVALUATION METHODS
dc.subjectEXERCISES
dc.subjectEXTENSION
dc.subjectFARMERS
dc.subjectGENDER
dc.subjectHEALTH EDUCATION
dc.subjectHEALTH INDICATORS
dc.subjectHOSPITALS
dc.subjectHYGIENE
dc.subjectIMMUNODEFICIENCY
dc.subjectIMPACT ASSESSMENTS
dc.subjectIMPACT EVALUATION
dc.subjectINCOME
dc.subjectINTEGRATION
dc.subjectINTERVENTION
dc.subjectIRON
dc.subjectKEY INFORMANT INTERVIEWS
dc.subjectLIVELIHOODS
dc.subjectM&AMP
dc.subjectE SYSTEMS
dc.subjectMEAL PREPARATION
dc.subjectMONITORING DATA
dc.subjectNUTRITION
dc.subjectNUTRITION EDUCATION
dc.subjectOLDER PEOPLE
dc.subjectPOVERTY REDUCTION
dc.subjectPREGNANCY
dc.subjectPRESCHOOL CHILDREN
dc.subjectPROGRAM EVALUATION
dc.subjectPROGRAM IMPACTS
dc.subjectPROGRAM IMPLEMENTATION
dc.subjectPROGRAMS
dc.subjectQUALITATIVE DATA
dc.subjectQUALITATIVE EVALUATION
dc.subjectQUALITATIVE METHODS
dc.subjectQUALITATIVE RESEARCH
dc.subjectQUANTITATIVE DATA
dc.subjectQUANTITATIVE METHODS
dc.subjectRESEARCH DESIGN
dc.subjectRESEARCH METHODS
dc.subjectRESEARCHERS
dc.subjectSAMPLE SIZE
dc.subjectSERVICE DELIVERY
dc.subjectSEXUALITY
dc.subjectSOCIOLOGY
dc.subjectSTERILIZATION
dc.subjectSURVEY DATA
dc.subjectSURVEY DESIGN
dc.subjectTARGETING
dc.subjectTECHNIQUES
dc.subjectVIOLENCE
dc.subjectWORKERS
dc.titleCombining Quantitative and Qualitative Methods for Program Monitoring and Evaluation: Why Are Mixed-Method Designs Best?

Archivos

Colecciones

AgroKnow