Design of Experiments and Different Age Groups

Topics: Design of experiments, Experimental design, Repeated measures design Pages: 2 (619 words) Published: April 11, 2011
Pro-Recycling Public Service Announcement Research
By Lynne Lilley
To recruit participants to partake in my study send out letters to the public and put an ad in the paper asking for participants of all different age groups ranging from fifteen on up. I will explain that the study is for a pro-recycling survey and I need people of random ages that support recycling and that do not support it. I will consider all the applicants for doing this research. I will not go over 200. Whatever the amount being, I will divide that in half, trying to use the method that the College of Lake County refers to: * Use the same subjects in both the control and experimental groups.  (This is called a repeated measures design).   * Match subjects on important variables (e.g., for every 20 year old female in the control group there is a 20 year old female in the experimental group). * Random assignment. (Let chance decide who gets placed into which group.  Thus, each subject has an equal chance of being placed in either group). The control group would not get to see the public service message and would just take the self-reported survey.

I would measure the persuasiveness of the message by checking the validity of the message. I would check and see how accurate the message is and if I can verify any information they are saying such as: statistics, past surveys or knowledge. The independent variable is the core of the experiment and is isolated and manipulated by the researcher. The dependent variable is the measurable outcome of this manipulation, the results of the experimental design. (Shuttleworth, 2008) The independent variable for the experimental group is the cause which would be to promote recycling on a daily basis. The dependent variables would be the effect would be if they support the message by actively recycling. I would use validity to see if the information is accurate and to make sure I can verify all the information. I would use a...

Cited: D.T.Cambell, & Cook, T. (1979). Quasi-experimentation: Design and analysis issues. Retrieved March 19, 2011, from
Shuttleworth, M. (2008). Research Variables. Retrieved March 21, 2011, from Experimental Resorces:
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