Learning more from social experiments :: evolving analytic approaches /
"Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random-assignment studies can be overcome by combining data from these studies with statistical methods from other research designs." "Bloom e...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Russell Sage Foundation,
©2005.
|
| Schriftenreihe: | UPCC book collections on Project MUSE.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random-assignment studies can be overcome by combining data from these studies with statistical methods from other research designs." "Bloom evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study."--Jacket. |
| Beschreibung: | "An MDRC project." |
| Beschreibung: | 1 online resource (xi, 246 pages :) : illustrations |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781610440691 1610440692 |
Internformat
MARC
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| 245 | 0 | 0 | |a Learning more from social experiments : |b evolving analytic approaches / |c Howard S. Bloom, editor. |
| 260 | |a New York : |b Russell Sage Foundation, |c ©2005. | ||
| 300 | |a 1 online resource (xi, 246 pages :) : |b illustrations | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Contributors; Preface; Chapter 1. Precedents and Prospects for Randomized Experiments -- Charles Michalopoulos; Chapter 2. Modeling Cross-Site Experimental Differences to Find Out Why Program Effectiveness Varies -- Howard S. Bloom, Carolyn J. Hill, and James A. Riccio; Chapter 3. Constructing Instrumental Variables from Experimental Data to Explore How Treatments Produce Effects -- Lisa A. Gennetian, Pamela A. Morris, Johannes M. Bos, and Howard S. Bloom; Chapter 4. Randomizing Groups to Evaluate Place-Based Programs -- Howard S. Bloom. | |
| 505 | 8 | |a Chapter 5. Using Experiments to Assess Nonexperimental Comparison-Group Methods for Measuring Program Effects -- Howard S. Bloom, Charles Michalopoulos, and Carolyn J. HillIndex. | |
| 520 | 1 | |a "Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random-assignment studies can be overcome by combining data from these studies with statistical methods from other research designs." "Bloom evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study."--Jacket. | |
| 546 | |a English. | ||
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| 650 | 0 | |a Social sciences |x Experiments. |0 http://id.loc.gov/authorities/subjects/sh85124008 | |
| 650 | 6 | |a Plan d'expérience. | |
| 650 | 6 | |a Sciences sociales |x Recherche. | |
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| 650 | 7 | |a Social sciences |x Experiments |2 fast | |
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| 700 | 1 | |a Bloom, Howard S. | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-ocn794702253 |
|---|---|
| _version_ | 1816881797760286720 |
| adam_text | |
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| author2 | Bloom, Howard S. |
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| contents | Contributors; Preface; Chapter 1. Precedents and Prospects for Randomized Experiments -- Charles Michalopoulos; Chapter 2. Modeling Cross-Site Experimental Differences to Find Out Why Program Effectiveness Varies -- Howard S. Bloom, Carolyn J. Hill, and James A. Riccio; Chapter 3. Constructing Instrumental Variables from Experimental Data to Explore How Treatments Produce Effects -- Lisa A. Gennetian, Pamela A. Morris, Johannes M. Bos, and Howard S. Bloom; Chapter 4. Randomizing Groups to Evaluate Place-Based Programs -- Howard S. Bloom. Chapter 5. Using Experiments to Assess Nonexperimental Comparison-Group Methods for Measuring Program Effects -- Howard S. Bloom, Charles Michalopoulos, and Carolyn J. HillIndex. |
| ctrlnum | (OCoLC)794702253 |
| dewey-full | 300/.72/4 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 300 - Social sciences |
| dewey-raw | 300/.72/4 |
| dewey-search | 300/.72/4 |
| dewey-sort | 3300 272 14 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| format | Electronic eBook |
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| id | ZDB-4-EBA-ocn794702253 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:18:26Z |
| institution | BVB |
| isbn | 9781610440691 1610440692 |
| language | English |
| oclc_num | 794702253 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xi, 246 pages :) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Russell Sage Foundation, |
| record_format | marc |
| series | UPCC book collections on Project MUSE. |
| series2 | UPCC book collections on Project MUSE |
| spelling | Learning more from social experiments : evolving analytic approaches / Howard S. Bloom, editor. New York : Russell Sage Foundation, ©2005. 1 online resource (xi, 246 pages :) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier UPCC book collections on Project MUSE "An MDRC project." Includes bibliographical references and index. Print version record. Contributors; Preface; Chapter 1. Precedents and Prospects for Randomized Experiments -- Charles Michalopoulos; Chapter 2. Modeling Cross-Site Experimental Differences to Find Out Why Program Effectiveness Varies -- Howard S. Bloom, Carolyn J. Hill, and James A. Riccio; Chapter 3. Constructing Instrumental Variables from Experimental Data to Explore How Treatments Produce Effects -- Lisa A. Gennetian, Pamela A. Morris, Johannes M. Bos, and Howard S. Bloom; Chapter 4. Randomizing Groups to Evaluate Place-Based Programs -- Howard S. Bloom. Chapter 5. Using Experiments to Assess Nonexperimental Comparison-Group Methods for Measuring Program Effects -- Howard S. Bloom, Charles Michalopoulos, and Carolyn J. HillIndex. "Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random-assignment studies can be overcome by combining data from these studies with statistical methods from other research designs." "Bloom evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study."--Jacket. English. Experimental design. http://id.loc.gov/authorities/subjects/sh85046441 Social sciences Research. http://id.loc.gov/authorities/subjects/sh85124014 Social sciences Experiments. http://id.loc.gov/authorities/subjects/sh85124008 Plan d'expérience. Sciences sociales Recherche. SOCIAL SCIENCE Methodology. bisacsh Experimental design fast Social sciences Experiments fast Social sciences Research fast Social Sciences. hilcc Social Sciences - General. hilcc "Multi-User" Bloom, Howard S. Print version: Learning more from social experiments. New York : Russell Sage Foundation, ©2005 (DLC) 2004061463 UPCC book collections on Project MUSE. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1066622 Volltext |
| spellingShingle | Learning more from social experiments : evolving analytic approaches / UPCC book collections on Project MUSE. Contributors; Preface; Chapter 1. Precedents and Prospects for Randomized Experiments -- Charles Michalopoulos; Chapter 2. Modeling Cross-Site Experimental Differences to Find Out Why Program Effectiveness Varies -- Howard S. Bloom, Carolyn J. Hill, and James A. Riccio; Chapter 3. Constructing Instrumental Variables from Experimental Data to Explore How Treatments Produce Effects -- Lisa A. Gennetian, Pamela A. Morris, Johannes M. Bos, and Howard S. Bloom; Chapter 4. Randomizing Groups to Evaluate Place-Based Programs -- Howard S. Bloom. Chapter 5. Using Experiments to Assess Nonexperimental Comparison-Group Methods for Measuring Program Effects -- Howard S. Bloom, Charles Michalopoulos, and Carolyn J. HillIndex. Experimental design. http://id.loc.gov/authorities/subjects/sh85046441 Social sciences Research. http://id.loc.gov/authorities/subjects/sh85124014 Social sciences Experiments. http://id.loc.gov/authorities/subjects/sh85124008 Plan d'expérience. Sciences sociales Recherche. SOCIAL SCIENCE Methodology. bisacsh Experimental design fast Social sciences Experiments fast Social sciences Research fast Social Sciences. hilcc Social Sciences - General. hilcc |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85046441 http://id.loc.gov/authorities/subjects/sh85124014 http://id.loc.gov/authorities/subjects/sh85124008 |
| title | Learning more from social experiments : evolving analytic approaches / |
| title_auth | Learning more from social experiments : evolving analytic approaches / |
| title_exact_search | Learning more from social experiments : evolving analytic approaches / |
| title_full | Learning more from social experiments : evolving analytic approaches / Howard S. Bloom, editor. |
| title_fullStr | Learning more from social experiments : evolving analytic approaches / Howard S. Bloom, editor. |
| title_full_unstemmed | Learning more from social experiments : evolving analytic approaches / Howard S. Bloom, editor. |
| title_short | Learning more from social experiments : |
| title_sort | learning more from social experiments evolving analytic approaches |
| title_sub | evolving analytic approaches / |
| topic | Experimental design. http://id.loc.gov/authorities/subjects/sh85046441 Social sciences Research. http://id.loc.gov/authorities/subjects/sh85124014 Social sciences Experiments. http://id.loc.gov/authorities/subjects/sh85124008 Plan d'expérience. Sciences sociales Recherche. SOCIAL SCIENCE Methodology. bisacsh Experimental design fast Social sciences Experiments fast Social sciences Research fast Social Sciences. hilcc Social Sciences - General. hilcc |
| topic_facet | Experimental design. Social sciences Research. Social sciences Experiments. Plan d'expérience. Sciences sociales Recherche. SOCIAL SCIENCE Methodology. Experimental design Social sciences Experiments Social sciences Research Social Sciences. Social Sciences - General. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1066622 |
| work_keys_str_mv | AT bloomhowards learningmorefromsocialexperimentsevolvinganalyticapproaches |