Experimental and Quasi-experimental Designs for Generalized Causal Inference
Author | : William R. Shadish |
Publisher | : Cengage Learning |
Total Pages | : 664 |
Release | : 2002 |
ISBN-10 | : UOM:39015061304716 |
ISBN-13 | : |
Rating | : 4/5 (16 Downloads) |
Download or read book Experimental and Quasi-experimental Designs for Generalized Causal Inference written by William R. Shadish and published by Cengage Learning. This book was released on 2002 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sections include: experiments and generalised 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; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.