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Quasi-experimentation : design & analysis issues for field settings

Author: Thomas D Cook; Donald T Campbell
Publisher: Boston : Houghton Mifflin, ©1979.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
This book presents some quasi-experimental designs and design features that can be used in many social research settings. The designs serve to probe causal hypotheses about a wide variety of substantive issues in both basic and applied research. Each design is assessed in terms of four types of validity, with special stress on internal validity. Although general conclusions are drawn about the strengths and  Read more...
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Additional Physical Format: Online version:
Cook, Thomas D.
Quasi-experimentation.
Boston : Houghton Mifflin, ©1979
(OCoLC)558652253
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Thomas D Cook; Donald T Campbell
ISBN: 0395307902 9780395307908
OCLC Number: 7593552
Notes: Includes indexes.
Description: xii, 405 pages : illustrations ; 23 cm
Contents: Causal inference and the language of experimentation --
Validity --
Quasi-experiments: Nonequivalent control group designs --
The statistical analysis of data from nonequivalent group designs / Charles S. Reichardt --
Quasi-experiments: Interrupted time-series designs --
The statistical analysis of the simple interrupted time-series quasi-experiment / Leslie J. McCain and Richard McCleary --
Inferring cause from passive observation --
The conduct of randomized experiments.
Other Titles: Quasi-experimentation : design and analysis issues for field settings
Responsibility: Thomas D. Cook, Donald T. Campbell.

Abstract:

This book presents some quasi-experimental designs and design features that can be used in many social research settings. The designs serve to probe causal hypotheses about a wide variety of substantive issues in both basic and applied research. Each design is assessed in terms of four types of validity, with special stress on internal validity. Although general conclusions are drawn about the strengths and limitations of each design, emphasis is also placed on the fact that the relevant threats to valid inference are specific to each research setting. Consequently, a threat that is usually associated with a particular design need not invariably be associated with that design.

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