Methods matter :: improving causal inference in educational and social science research /
Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompan...
Gespeichert in:
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| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford ; New York, NY :
Oxford University Press,
2011.
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| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. |
| Beschreibung: | 1 online resource (xv, 397 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 369-379) and index. |
| ISBN: | 9780199780310 0199780315 1282736205 9781282736207 9786612736209 6612736208 |
Internformat
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| 245 | 1 | 0 | |a Methods matter : |b improving causal inference in educational and social science research / |c Richard J. Murnane, John B. Willett. |
| 260 | |a Oxford ; |a New York, NY : |b Oxford University Press, |c 2011. | ||
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| 504 | |a Includes bibliographical references (pages 369-379) and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a The challenge for educational research -- The importance of theory -- Designing research to address causal questions -- Investigator-designed randomized experiments -- Challenges in designing, implementing, and learning from randomized experiments -- Statistical power and sample size -- Experimental research when participants are clustered within intact groups -- Using natural experiments to provide "arguably exogenous" treatment variability -- Estimating causal effects using a regression-discontinuity approach -- Introducing instrumental-variables estimation -- Using IVE to recover the treatment effect in a quasi-experiment -- Dealing with bias in treatment effects estimated from nonexperimental data -- Methodological lessons from the long quest -- Substantive lessons and new questions. | |
| 520 | |a Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. | ||
| 650 | 0 | |a Education |x Research |x Methodology. | |
| 650 | 0 | |a Quantitative research. |0 http://id.loc.gov/authorities/subjects/sh2007000909 | |
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Datensatz im Suchindex
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| adam_text | |
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| author | Murnane, Richard J. |
| author2 | Willett, John B. |
| author2_role | |
| author2_variant | j b w jb jbw |
| author_GND | http://id.loc.gov/authorities/names/n87928308 http://id.loc.gov/authorities/names/n87889214 |
| author_facet | Murnane, Richard J. Willett, John B. |
| author_role | |
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| callnumber-first | L - Education |
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| callnumber-raw | LB1028 .M86 2011eb |
| callnumber-search | LB1028 .M86 2011eb |
| callnumber-sort | LB 41028 M86 42011EB |
| callnumber-subject | LB - Theory and Practice of Education |
| collection | ZDB-4-EDU |
| contents | The challenge for educational research -- The importance of theory -- Designing research to address causal questions -- Investigator-designed randomized experiments -- Challenges in designing, implementing, and learning from randomized experiments -- Statistical power and sample size -- Experimental research when participants are clustered within intact groups -- Using natural experiments to provide "arguably exogenous" treatment variability -- Estimating causal effects using a regression-discontinuity approach -- Introducing instrumental-variables estimation -- Using IVE to recover the treatment effect in a quasi-experiment -- Dealing with bias in treatment effects estimated from nonexperimental data -- Methodological lessons from the long quest -- Substantive lessons and new questions. |
| ctrlnum | (OCoLC)664243272 |
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| dewey-ones | 370 - Education |
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| discipline | Pädagogik |
| format | Electronic eBook |
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| indexdate | 2024-07-15T09:13:19Z |
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| publisher | Oxford University Press, |
| record_format | marc |
| spelling | Murnane, Richard J. http://id.loc.gov/authorities/names/n87928308 Methods matter : improving causal inference in educational and social science research / Richard J. Murnane, John B. Willett. Oxford ; New York, NY : Oxford University Press, 2011. 1 online resource (xv, 397 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 369-379) and index. Print version record. The challenge for educational research -- The importance of theory -- Designing research to address causal questions -- Investigator-designed randomized experiments -- Challenges in designing, implementing, and learning from randomized experiments -- Statistical power and sample size -- Experimental research when participants are clustered within intact groups -- Using natural experiments to provide "arguably exogenous" treatment variability -- Estimating causal effects using a regression-discontinuity approach -- Introducing instrumental-variables estimation -- Using IVE to recover the treatment effect in a quasi-experiment -- Dealing with bias in treatment effects estimated from nonexperimental data -- Methodological lessons from the long quest -- Substantive lessons and new questions. Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. Education Research Methodology. Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Recherche quantitative. EDUCATION Research. bisacsh Education Research Methodology fast Quantitative research fast dissertations. aat Academic theses fast Academic theses. lcgft http://id.loc.gov/authorities/genreForms/gf2014026039 Thèses et écrits académiques. rvmgf Willett, John B. http://id.loc.gov/authorities/names/n87889214 has work: Methods matter (Text) https://id.oclc.org/worldcat/entity/E39PCGVT4BgtyJfpD3gYgwfT9C https://id.oclc.org/worldcat/ontology/hasWork Print version: Murnane, Richard J. Methods matter. New York, NY : Oxford University Press, 2011 9780199753864 (DLC) 2010007441 (OCoLC)537652482 FWS01 ZDB-4-EDU FWS_PDA_EDU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=333221 Volltext |
| spellingShingle | Murnane, Richard J. Methods matter : improving causal inference in educational and social science research / The challenge for educational research -- The importance of theory -- Designing research to address causal questions -- Investigator-designed randomized experiments -- Challenges in designing, implementing, and learning from randomized experiments -- Statistical power and sample size -- Experimental research when participants are clustered within intact groups -- Using natural experiments to provide "arguably exogenous" treatment variability -- Estimating causal effects using a regression-discontinuity approach -- Introducing instrumental-variables estimation -- Using IVE to recover the treatment effect in a quasi-experiment -- Dealing with bias in treatment effects estimated from nonexperimental data -- Methodological lessons from the long quest -- Substantive lessons and new questions. Education Research Methodology. Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Recherche quantitative. EDUCATION Research. bisacsh Education Research Methodology fast Quantitative research fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2007000909 http://id.loc.gov/authorities/genreForms/gf2014026039 |
| title | Methods matter : improving causal inference in educational and social science research / |
| title_auth | Methods matter : improving causal inference in educational and social science research / |
| title_exact_search | Methods matter : improving causal inference in educational and social science research / |
| title_full | Methods matter : improving causal inference in educational and social science research / Richard J. Murnane, John B. Willett. |
| title_fullStr | Methods matter : improving causal inference in educational and social science research / Richard J. Murnane, John B. Willett. |
| title_full_unstemmed | Methods matter : improving causal inference in educational and social science research / Richard J. Murnane, John B. Willett. |
| title_short | Methods matter : |
| title_sort | methods matter improving causal inference in educational and social science research |
| title_sub | improving causal inference in educational and social science research / |
| topic | Education Research Methodology. Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Recherche quantitative. EDUCATION Research. bisacsh Education Research Methodology fast Quantitative research fast |
| topic_facet | Education Research Methodology. Quantitative research. Recherche quantitative. EDUCATION Research. Education Research Methodology Quantitative research dissertations. Academic theses Academic theses. Thèses et écrits académiques. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=333221 |
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