Experimental and quasi-experimental designs for generalized causal inference / William R. Shedish, Thomas D. Cook, Donald T. Campbell.

Experiments and generalized 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
Regression discontinuity designs
Randomized experiments: rationale, designs, and conditions conducive to doing them
Practical problems 1: Ethics, participant recruitment, and random assignment
Practical problems 2: Treatment implementation and attrition
Generalized causal inference: a grounded theory
Generalized causal inference: methods for single studies
Generalized causal inference: methods for multiple studies
A critical assessment of our assumptions.