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Empirical methods for evaluating edu...
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Levin, Joel R.
Empirical methods for evaluating educational interventions
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Empirical methods for evaluating educational interventions/ edited by Gary D. Phye, Daniel H. Robinson, Joel R. Levin.
other author:
Levin, Joel R.
Published:
San Diego :Elsevier Academic Press, : c2005.,
Description:
xv, 284 p. :ill. ; : 24 cm.;
Subject:
Psychop�edagogie. -
Online resource:
An electronic book accessible through the World Wide Web; click for information
Online resource:
An electronic book accessible through the World Wide Web; click for information
Online resource:
http://www.loc.gov/catdir/enhancements/fy0619/2004062760-d.html
Online resource:
http://www.loc.gov/catdir/enhancements/fy0619/2004062760-t.html
ISBN:
9780125542579
Empirical methods for evaluating educational interventions
Empirical methods for evaluating educational interventions
[electronic resource] /edited by Gary D. Phye, Daniel H. Robinson, Joel R. Levin. - San Diego :Elsevier Academic Press,c2005. - xv, 284 p. :ill. ;24 cm. - Educational psychology series. - Educational psychology series (Academic Press).
Includes bibliographical references and index.
Part I: Framing Educational Research Inquiry to Meet Today's Realities. -- J.R. Levin, Randomized Classroom Trials on Trial. -- V.F. Reyna, The No Child Left Behind Act, Scientific Research and Federal Education Policy: A View from Washington, D.C. -- D.F. Halpern, Dissing Science: Selling Scientifically Based Practices to a Nation that Distrusts Science. -- R.E. Mayer, The Failure of Educational Research to Impact Educational Practice: Six Obstacles to Educational Reform. -- Part II: Basic Issues When Addressing Human Behavior: An Experimental Research Perspective. -- J.C. Valentine and H.M. Cooper, Can We Measure the Quality of Causal Research in Education? -- J. D'Agostino, Measuring Learning Outcomes: Reliability and Validity Issues. -- J.T. Behrens and D.H. Robinson, the Micro and Macro in the Analysis and Conceptualization of Experimental Data. -- Part III: Producing Credible Applied Educational Research. -- R. Boruch, Beyond the Laboratory or Classroom: The Empirical Basis of Educational Policy. -- G.D. Phye, Academic Learning and Academic Achievement: Correspondence Issues. -- A.M. O'Donnell, Experimental Research in Classrooms. -- S. Graham, K.H. Harris and J. Zito, Promoting Internal and External Validity: A Synergism of Laboratory-Like Experiments and Classroom-Based Self-Regulated Strategy Development Research.
New US government requirements state that federally funded grants and school programs must prove that they are based on scientifically proved improvements in teaching and learning. All new grants must show they are based on scientifically sound research to be funded, and budgets to schools must likewise show that they are based on scientifically sound research. However, the movement in education over the past several years has been toward qualitative rather than quantitative measures. The new legislation comes at a time when researchers are ill trained to measure results or even to frame questions in an empirical way, and when school administrators and teachers are no longer remember or were never trained to prove statistically that their programs are effective. Experimental Methods for Evaluating Educational Interventions is a tutorial on what it means to frame a question in an empirical manner, how one needs to test that a method works, what statistics one uses to measure effectiveness, and how to document these findings in a way so as to be compliant with new empirically based requirements. The book is simplistic enough to be accessible to those teaching and administrative educational professionals long out of schooling, but comprehensive and sophisticated enough to be of use to researchers who know experimental design and statistics but don't know how to use what they know to write acceptable grant proposals or to get governmental funding for their programs. * Provides an overview to interpreting empirical data in education * Reviews data analysis techniques: use and interpretation * Discusses research on learning, instruction, and curriculum * Explores importance of showing progress as well as cause and effect * Identifies obstacles to applying research into practice *Examines policy development for states, nations, and countries.
Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.
Mode of access: World Wide Web.
ISBN: 9780125542579
Source: 102640:102659Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:
654987
Psychop�edagogie.
Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: LB2822.75 / .E56 2005eb
Dewey Class. No.: 370/.7/2
Empirical methods for evaluating educational interventions
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edited by Gary D. Phye, Daniel H. Robinson, Joel R. Levin.
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Elsevier Academic Press,
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Part I: Framing Educational Research Inquiry to Meet Today's Realities. -- J.R. Levin, Randomized Classroom Trials on Trial. -- V.F. Reyna, The No Child Left Behind Act, Scientific Research and Federal Education Policy: A View from Washington, D.C. -- D.F. Halpern, Dissing Science: Selling Scientifically Based Practices to a Nation that Distrusts Science. -- R.E. Mayer, The Failure of Educational Research to Impact Educational Practice: Six Obstacles to Educational Reform. -- Part II: Basic Issues When Addressing Human Behavior: An Experimental Research Perspective. -- J.C. Valentine and H.M. Cooper, Can We Measure the Quality of Causal Research in Education? -- J. D'Agostino, Measuring Learning Outcomes: Reliability and Validity Issues. -- J.T. Behrens and D.H. Robinson, the Micro and Macro in the Analysis and Conceptualization of Experimental Data. -- Part III: Producing Credible Applied Educational Research. -- R. Boruch, Beyond the Laboratory or Classroom: The Empirical Basis of Educational Policy. -- G.D. Phye, Academic Learning and Academic Achievement: Correspondence Issues. -- A.M. O'Donnell, Experimental Research in Classrooms. -- S. Graham, K.H. Harris and J. Zito, Promoting Internal and External Validity: A Synergism of Laboratory-Like Experiments and Classroom-Based Self-Regulated Strategy Development Research.
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New US government requirements state that federally funded grants and school programs must prove that they are based on scientifically proved improvements in teaching and learning. All new grants must show they are based on scientifically sound research to be funded, and budgets to schools must likewise show that they are based on scientifically sound research. However, the movement in education over the past several years has been toward qualitative rather than quantitative measures. The new legislation comes at a time when researchers are ill trained to measure results or even to frame questions in an empirical way, and when school administrators and teachers are no longer remember or were never trained to prove statistically that their programs are effective. Experimental Methods for Evaluating Educational Interventions is a tutorial on what it means to frame a question in an empirical manner, how one needs to test that a method works, what statistics one uses to measure effectiveness, and how to document these findings in a way so as to be compliant with new empirically based requirements. The book is simplistic enough to be accessible to those teaching and administrative educational professionals long out of schooling, but comprehensive and sophisticated enough to be of use to researchers who know experimental design and statistics but don't know how to use what they know to write acceptable grant proposals or to get governmental funding for their programs. * Provides an overview to interpreting empirical data in education * Reviews data analysis techniques: use and interpretation * Discusses research on learning, instruction, and curriculum * Explores importance of showing progress as well as cause and effect * Identifies obstacles to applying research into practice *Examines policy development for states, nations, and countries.
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