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    Experimental and Quasi-experimental Designs for Generalized Causal Inference (Hardback) By (author) William R. Shadish, By (author) Thomas D. Cook, By (author) Donald T. Campbell

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    DescriptionThis long awaited successor of the original Cook/Campbell Quasi-Experimentation: Design and Analysis Issues for Field Settings represents updates in the field over the last two decades. The book covers four major topics in field experimentation:


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  • Full bibliographic data for Experimental and Quasi-experimental Designs for Generalized Causal Inference

    Title
    Experimental and Quasi-experimental Designs for Generalized Causal Inference
    Authors and contributors
    By (author) William R. Shadish, By (author) Thomas D. Cook, By (author) Donald T. Campbell
    Physical properties
    Format: Hardback
    Number of pages: 656
    Width: 180 mm
    Height: 234 mm
    Thickness: 25 mm
    Weight: 885 g
    Language
    English
    ISBN
    ISBN 13: 9780395615560
    ISBN 10: 0395615569
    Classifications

    B&T Book Type: NF
    BIC E4L: SCI
    BIC subject category V2: JM
    Nielsen BookScan Product Class 3: S7.0
    B&T Modifier: Region of Publication: 01
    BIC subject category V2: PD
    BISAC V2.8: PHI004000
    DC21: 519.5
    BIC subject category V2: PBT
    B&T General Subject: 670
    B&T Modifier: Academic Level: 02
    Ingram Subject Code: PH
    Libri: I-PH
    B&T Merchandise Category: STX
    Warengruppen-Systematik des deutschen Buchhandels: 16280
    BISAC V2.8: PSY040000, PSY000000
    DC22: 122/.07/2
    LC classification: BD591 .S48 2001
    LC subject heading:
    DC22: 122.072
    LC subject heading:
    Thema V1.0: PBT, PD
    Edition
    2, Revised
    Edition statement
    2nd Revised edition
    Publisher
    Cengage Learning, Inc
    Imprint name
    HOUGHTON MIFFLIN
    Publication date
    01 April 2003
    Publication City/Country
    Boston
    Review quote
    1. Experiments and Generalized Causal Inference 2. Statistical Conclusion Validity and Internal Validity 3. Construct Validity and External Validity 4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome 5. Quasi-Experimental Designs That Use Both Control Groups and Pretests 6. Quasi-Experimentation: Interrupted Time Series Designs 7. Regression Discontinuity Designs 8. Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them 9. Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment 10. Practical Problems 2: Treatment Implementation and Attrition 11. Generalized Causal Inference: A Grounded Theory 12. Generalized Causal Inference: Methods for Single Studies 13. Generalized Causal Inference: Methods for Multiple Studies 14. A Critical Assessment of Our Assumptions
    Table of contents
    1. Experiments and Generalized Causal Inference 2. Statistical Conclusion Validity and Internal Validity 3. Construct Validity and External Validity 4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome 5. Quasi-Experimental Designs That Use Both Control Groups and Pretests 6. Quasi-Experimentation: Interrupted Time Series Designs 7. Regression Discontinuity Designs 8. Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them 9. Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment 10. Practical Problems 2: Treatment Implementation and Attrition 11. Generalized Causal Inference: A Grounded Theory 12. Generalized Causal Inference: Methods for Single Studies 13. Generalized Causal Inference: Methods for Multiple Studies 14. A Critical Assessment of Our Assumptions