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Experimental and quasi-experimental designs for generalized causal inference / William R. Shadish, Thomas D. Cook, Donald T. Campbell.

By: Contributor(s): Material type: TextTextPublisher: Boston : Houghton Mifflin, [2002]Copyright date: ©2002Description: xxi, 623 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780395615560
  • 0395615569
  • 0395307872
  • 9780395307878
Subject(s): DDC classification:
  • 122/.07/2 21
LOC classification:
  • BD591 .S48 2001
  • BD591 .S48 2001
NLM classification:
  • Q 180 .A1 S524 2002
Other classification:
  • 70.03
Contents:
Experiments and generalized causal inference -- Statistical conclusion validity and internal validity -- Construct validity and external validity -- Quasi-experimental designs that either lack a control group or lack pretest observations on the outcome -- Quasi-experimental designs that use both control groups and pretests -- Quasi-experiments: interrupted time-series designs -- Regression discontinuity designs -- Randomized experiments: rationale, designs, and conditions conducive to doing them -- Practical problems 1: Ethics, participant recruitment, and random assignment -- Practical problems 2: Treatment implementation and attrition -- Generalized causal inference: a grounded theory -- Generalized causal inference: methods for single studies -- Generalized causal inference: methods for multiple studies -- A critical assessment of our assumptions.
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Holdings
Item type Current library Call number Status Date due Barcode
Book Book Janis P. Bellack Library General Stacks RES METH EXPERIMENTAL (Browse shelf(Opens below)) Available 36349000026392

Includes bibliographical references (pages 514-591) and indexes.

Experiments and generalized causal inference -- Statistical conclusion validity and internal validity -- Construct validity and external validity -- Quasi-experimental designs that either lack a control group or lack pretest observations on the outcome -- Quasi-experimental designs that use both control groups and pretests -- Quasi-experiments: interrupted time-series designs -- Regression discontinuity designs -- Randomized experiments: rationale, designs, and conditions conducive to doing them -- Practical problems 1: Ethics, participant recruitment, and random assignment -- Practical problems 2: Treatment implementation and attrition -- Generalized causal inference: a grounded theory -- Generalized causal inference: methods for single studies -- Generalized causal inference: methods for multiple studies -- A critical assessment of our assumptions.

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