William R. Shadish

Thomas D. Cook

Donald Thomas Campbell

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.

Experimental and Quasi-experimental Designs for Generalized Causal Inference

Laura C. Leviton

Foundations of Program Evaluation heralds a thorough exploration of the field of program evaluation--looking back on its origins. By summarizing, comparing, and contrasting the work of seven major theorists of program evaluation, this book provides an important perspective on the current state of evaluation theory and provides suggestions for ways of improving its practice. Beginning in Chapter Two, the authors develop a conceptual framework to analyze how successfully each theory meets the specific criteria of its framework. Each subsequent chapter is devoted to the presentation of the theoretical and practical advice of a significant theorist--Michael Scriven, Donald Campbell, Carol Weiss, Joseph Wholey, Robert Stake, Lee Cronbach, and Peter Rossi.

William R. Shadish

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