1 / 22

Qualitative and Quantitative Poverty Appraisal: Maximizing Complementarities, Minimizing Tradeoffs

This seminar draws on presentations and discussions at March 2001 conference at Cornell University, summarized in Ravi Kanbur, ed., Q-Squared: Combining Qualitative and Quantitative Methods In Poverty Appraisal (Delhi: Permanent Black, forthcoming), as well as on the insights of colleagues in severa

iorwen
Download Presentation

Qualitative and Quantitative Poverty Appraisal: Maximizing Complementarities, Minimizing Tradeoffs

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


    1. Qualitative and Quantitative Poverty Appraisal: Maximizing Complementarities, Minimizing Tradeoffs Chris Barrett Cornell University Presentation at Wageningen, August 26, 2002

    2. This seminar draws on presentations and discussions at March 2001 conference at Cornell University, summarized in Ravi Kanbur, ed., Q-Squared: Combining Qualitative and Quantitative Methods In Poverty Appraisal (Delhi: Permanent Black, forthcoming), as well as on the insights of colleagues in several multidisciplinary collaborative research projects.

    3. Significant recent progress in both qualitative (QUAL) and quantitative (QUANT) methods: - rapid rise of PA methods - emergence of widespread, nationally representative household survey data.

    4. Are QUAL and QUANT complements or substitutes? There is considerable conflict among the practitioners of each … does that mean the methods necessarily conflict too??? Importance of being self-reflexive and self-critical

    5. Dimensions of QUAL-QUANT Difference: Be clear about focus of question: (1) Data collection methods (2) Data types (3) Data analysis methods (4) Audience

    6. Qual-Quant Dimensions Data collection methods

More Related