Experimental and Quasi-Experimental Designs for Generalized Causal Inference pdf epub mobi txt 电子书下载 2025

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出版者:Cengage Learning

作者:William R. Shadish

出品人:

页数:656

译者:

出版时间:2001-1-2

价格:USD 128.95

装帧:Paperback

isbn号码:9780395615560

丛书系列:

图书标签:

方法论
统计
实验设计
研究设计
研究方法
社会科学
心理学
causality
因果推断
实验设计
准实验设计
统计学
社会科学
研究方法
数据科学
量化分析
研究设计
高级统计

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具体描述

This 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:

作者简介

目录信息

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
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