Six groups of oysters (3 male group and 3 female groups) were selected from a clean site and six groups of oysters (3 male groups and 3 female groups) were selected from a polluted site in a tidal creek. (Oyster size is a reasonable proxy for gender). Six oysters from each group were sacrificed and morphological measurements were made--the response was an average morphological measurement from each group of a half-dozen oysters. Afterwards, the six groups of oysters from the clean site were transferred to the polluted site and the six groups of oysters from the polluted site were transfered to the clean site. After six weeks, six more oysters from each group were sacrificed and the measurements were repeated. Can you identify the design? Is there any serious confounding in the experiment? Can both gender and treatment (clean/polluted) effects be tested? How would you test them? Run the SAS code provided on the webpage and explain the results. This is a crossover design. Treatment is completely confounded with site--it would have been nice if several oyster banks (clean and polluted) had been sampled. As mentioned in class, a crossover design of this form can be thought of as a series of latin squares. In this particular instance, the grouping of pairs of cages into squares is arbitrary so we would want to make sure we didn't test for a "square" effect as we've seen in other analyses with replicated squares. The test for treatment would be orthogonal to tests for period and cage. Gender is confounded with a cage contrast (though probably not an important cage contrast) and the test for Gender in GLM fails. Students in my most recent classes thought it would be difficult to obtain additional polluted sites that were similar in characteristics to the initial polluted site. They also felt the designation of groups as male and female was too artificial since sexing of oysters is not exact. Recently, students wondered whether the effects were really symmetric since oysters were only at the second site for 6 weeks. Some students suggested handling joint testing of group and gender by nesting group in gender.