Factorial Design
This study seeks to answer the question of what individual treatment modes have been found to be the effective for treating this population as stated by the study. Complementing that question is the fact that the study is also attempting to determine whether certain treatments are more effective than other treatments for adolescent boys between the ages of 14 -- 16 who have been diagnosed with conduct disorder. In order to ascertain if one of the proposed treatments is more effective than the other, the study is collecting qualitative and quantitative data which will then be analyzed by the researchers. In addition to the collection of data, variables will be presented and tested using a variety of methodologies.
One method that will be employed by the study is the experimental design most commonly referred to as a factorial design method. The factorial design method is a methodology that allows the researcher(s) to determine the effects of a number of different treatments. For example; in this study the factors that could be studied include; family therapy, social skills training, administration of placebos, and administration of fluoxetine. The factorial design methodology allows the researcher to look at the two or more factors simultaneously, while at the same time determining the effect (if any) the factors have on the subjects. Since there are at least four different factors in which this study is interested, a factorial design provides the researcher with the knowledge of what factors actually influence the outcome, and what factors do not.
One recent study determined that "traditional...
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The study has as its objective to determine whether one method of treating CD is more effective than another, especially when certain treatments are paired with other treatments (such as behavioral intervention paired with pharmacology). The study does not meet the large-scale randomized controlled trial requirement, therefore the results may be somewhat biased. To overcome that bias, the experiment will be administered to all participants notwithstanding the particular treatment received.
The study is seeking to determine what factors cause the most (and the least) effect on the participants. The reason behind using the factorial design methodology in this particular case is that it is known as a method for increasing the amount of data and knowledge gathered from a study without materially increasing the number of participants or expenses. By designing a method for determining the influence of specific factors a researcher can tell more about interactions especially in behavioral studies. As Nair et al. determined however, "FFDs (factorial fractional designs) should be supplemented with follow-up experiments in the refining phase so any critical assumptions about interactions can be verified" (p. 1354).
One of the advantages of the factorial design is that it provides information that physicians and other…
