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|The F test is appropriate in any experiment in which the scores can be used to form two independent estimates of the population variance. One quite frequent situation in the behavioral sciences for which the F test is appropriate occurs when analyzing the data from experiments that use more than two groups or conditions. The two-group study involves a control group and an experimental group. Although this design is still used frequently http://www.packersfanaticproshop.com/lance-kendricks-packers-jersey/ , it is more common to encounter experiments that involve three or more groups. A major limitation of the two-group study is that often two groups are not sufficient to allow a clear interpretation of the findings. For example, the “thalamus and pain perception” experiment included two groups.
One received lesions in the thalamus and the other in an area “believed” to be unrelated to pain. The results showed a significantly higher pain threshold for the rats with thalamic lesions. Our conclusion was that lesions of the thalamus increased pain threshold. However, the difference between the two groups could just as well have been due to a lowering of pain threshold as a result of the other lesion rather than a rising of threshold because of the thalamic damage. This ambiguity could have been dispelled if three groups had been run rather than two. The third group would be a non-lesion control group. Comparing the pain threshold of the two lesion groups with the non-lesion group would help resolve the issue.
Another class of experiments requiring more than two groups involves experiments in which the independent variable is varied as a factor; that is, a predetermined range of the independent variable is selected, and several values spanning the range are used in the experiment. For example, in the “hormone X and sexual behavior” experiment http://www.packersfanaticproshop.com/ladarius-gunter-packers-jersey/ , rather than arbitrarily picking one value of the hormone, the experimenter would probably pick several levels across the range of possible effective values. Each level would be administered to a different group of subjects, randomly sampled from the population. There would be as many groups in the experiment as there are levels of the hormone. This type of experiment has the advantage of allowing the experimenter to determine how the dependent variable changes with several different levels of the independent variable. In this example, the experimenter would find out how mating behavior varies in frequency with different levels of hormone X. Not only does using several levels allow a lawful relationship to emerge if one exists, but when the experimenter is unsure of what single level might be effective, using several levels increases the possibility of a positive result occurring from the experiment.
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