Drawing Conclusions: The design type dictates the strength of causal claims. Experimental designs allow for stronger inferences about cause-and-effect than quasi-experimental designs.

Randomization: Random assignment of treatments to experimental units. Removes potential for systematic bias on the part of the researcher, and removes any preexperimental source of bias.

experimental research, and the steps involved in designing and conducting “good” experiments. The goal is to ensure social science research remains driven by important substantive questions and fully …

MANIPULATION and RANDOM ASSIGNMENT are the defining characteristics of experimental designs. Ideally, all research designs and studies should use random sampling. In addition, experimental …

LaLonde (1986) used this experimental evaluation to address a broader methodological question: whether the state-of- the-art nonexperimental evaluation methods of that time could replicate …

In this learning module, you will learn how to choose a test matrix so that the number of necessary experimental runs (and therefore cost and time) is kept to a minimum.

What potential experimental artifacts might be present for the starling song experiment? In designing an experiment to study the natural behavior of living organisms, what trade o s are there between …