Q-squared: combining qualitative and quantitative approaches in poverty analysis
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Oxford University Press
2013
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| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 FLA01 Volltext |
| Beschreibung: | Includes bibliographical references and index Part 1 : Introduction. 1. Q-Squared : Combining qualitative and quantitative approaches to poverty analysis -- Part 2 : Identification : Who are the poor and what are their characteristics? 2. Foundations : Epistemology ; 3. First Generation Q2 : Exploring differences ; 4. Second Generation Q2 : Addressing comparability and validity -- Part 3 : Causal Analysis : Why are people poor? 5. Foundations : Causation and causal inference ; 6. Q2 Causal Analysis : Exploring the drivers of poverty status and dynamics ; 7. Q2 Impact Assessment : Evaluating the poverty impact of programs and projects -- Part 4 : Conclusion. 8. Conclusion -- Appendix: Q2 research designs and methods "This book examines the underlying assumptions and implications of how we conceptualise and investigate poverty. The empirical entry point for such inquiry is a series of research initiatives that have used mixed method, combined qualitative and quantitative, or Q-Squared ( Q2) approaches, to poverty analysis. The Q2 literature highlights the vast range of analytical tools within the social sciences that may be used to understand and explain social phenomena, along with interesting research results. This literature serves as a lens to probe issues about knowledge claims made in poverty debates concerning who are the poor (identification analysis) and why they are poor (causal analysis). Implicitly or explicitly, questions are raised about the reasons for emphasising different dimensions of poverty and favouring different units of knowledge, the basis for distinguishing valid and invalid claims, the meaning of causation, and the nature of causal inference, and so forth. Q2 provides an entry point to address foundational issues about assumptions underlying approaches to poverty, and applied issues about the strengths and limitations of different research methods and the ways they may be fruitfully combined. Together, the strands of this inquiry make a case for methodological pluralism on the grounds that knowledge is partial, empirical adjudication imperfect, social phenomena complex, and mixed methods add value for understanding and explanation. Ultimately, the goals of understanding and explanation are best served if research questions dictate the choice of methodological approach rather than the other way around."--Publisher's website |
| Beschreibung: | 1 Online-Ressource (xiii, 151 p.) |
| ISBN: | 0191664596 9780191664595 |
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| id | DE-604.BV043058130 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:16:10Z |
| institution | BVB |
| isbn | 0191664596 9780191664595 |
| language | English |
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| spelling | Shaffer, Paul Verfasser aut Q-squared combining qualitative and quantitative approaches in poverty analysis Paul Shaffer Oxford Oxford University Press 2013 1 Online-Ressource (xiii, 151 p.) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Part 1 : Introduction. 1. Q-Squared : Combining qualitative and quantitative approaches to poverty analysis -- Part 2 : Identification : Who are the poor and what are their characteristics? 2. Foundations : Epistemology ; 3. First Generation Q2 : Exploring differences ; 4. Second Generation Q2 : Addressing comparability and validity -- Part 3 : Causal Analysis : Why are people poor? 5. Foundations : Causation and causal inference ; 6. Q2 Causal Analysis : Exploring the drivers of poverty status and dynamics ; 7. Q2 Impact Assessment : Evaluating the poverty impact of programs and projects -- Part 4 : Conclusion. 8. Conclusion -- Appendix: Q2 research designs and methods "This book examines the underlying assumptions and implications of how we conceptualise and investigate poverty. The empirical entry point for such inquiry is a series of research initiatives that have used mixed method, combined qualitative and quantitative, or Q-Squared ( Q2) approaches, to poverty analysis. The Q2 literature highlights the vast range of analytical tools within the social sciences that may be used to understand and explain social phenomena, along with interesting research results. This literature serves as a lens to probe issues about knowledge claims made in poverty debates concerning who are the poor (identification analysis) and why they are poor (causal analysis). Implicitly or explicitly, questions are raised about the reasons for emphasising different dimensions of poverty and favouring different units of knowledge, the basis for distinguishing valid and invalid claims, the meaning of causation, and the nature of causal inference, and so forth. Q2 provides an entry point to address foundational issues about assumptions underlying approaches to poverty, and applied issues about the strengths and limitations of different research methods and the ways they may be fruitfully combined. Together, the strands of this inquiry make a case for methodological pluralism on the grounds that knowledge is partial, empirical adjudication imperfect, social phenomena complex, and mixed methods add value for understanding and explanation. Ultimately, the goals of understanding and explanation are best served if research questions dictate the choice of methodological approach rather than the other way around."--Publisher's website SOCIAL SCIENCE / Essays bisacsh SOCIAL SCIENCE / Reference bisacsh Economic policy fast Economic surveys fast Economics fast Poverty fast Wirtschaft Wirtschaftspolitik Economic policy Economic surveys Economics Poverty Armut (DE-588)4002963-3 gnd rswk-swf Analyse (DE-588)4122795-5 gnd rswk-swf Forschungsmethode (DE-588)4155046-8 gnd rswk-swf Armut (DE-588)4002963-3 s Analyse (DE-588)4122795-5 s Forschungsmethode (DE-588)4155046-8 s 1\p DE-604 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=610548 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Shaffer, Paul Q-squared combining qualitative and quantitative approaches in poverty analysis SOCIAL SCIENCE / Essays bisacsh SOCIAL SCIENCE / Reference bisacsh Economic policy fast Economic surveys fast Economics fast Poverty fast Wirtschaft Wirtschaftspolitik Economic policy Economic surveys Economics Poverty Armut (DE-588)4002963-3 gnd Analyse (DE-588)4122795-5 gnd Forschungsmethode (DE-588)4155046-8 gnd |
| subject_GND | (DE-588)4002963-3 (DE-588)4122795-5 (DE-588)4155046-8 |
| title | Q-squared combining qualitative and quantitative approaches in poverty analysis |
| title_auth | Q-squared combining qualitative and quantitative approaches in poverty analysis |
| title_exact_search | Q-squared combining qualitative and quantitative approaches in poverty analysis |
| title_full | Q-squared combining qualitative and quantitative approaches in poverty analysis Paul Shaffer |
| title_fullStr | Q-squared combining qualitative and quantitative approaches in poverty analysis Paul Shaffer |
| title_full_unstemmed | Q-squared combining qualitative and quantitative approaches in poverty analysis Paul Shaffer |
| title_short | Q-squared |
| title_sort | q squared combining qualitative and quantitative approaches in poverty analysis |
| title_sub | combining qualitative and quantitative approaches in poverty analysis |
| topic | SOCIAL SCIENCE / Essays bisacsh SOCIAL SCIENCE / Reference bisacsh Economic policy fast Economic surveys fast Economics fast Poverty fast Wirtschaft Wirtschaftspolitik Economic policy Economic surveys Economics Poverty Armut (DE-588)4002963-3 gnd Analyse (DE-588)4122795-5 gnd Forschungsmethode (DE-588)4155046-8 gnd |
| topic_facet | SOCIAL SCIENCE / Essays SOCIAL SCIENCE / Reference Economic policy Economic surveys Economics Poverty Wirtschaft Wirtschaftspolitik Armut Analyse Forschungsmethode |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=610548 |
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