more random and larger. The only threat to validity would have to be history really and possibly maturation. But in history I think that in household of where an event happens in one life, for instance, a member dying of cancer would sharply affect the decisions. Also law plays part because today many laws are in place to ban smoking and the less access to it the more possibly it affects the study. This design will allow me to better rule out other rival hypothesis giving my study more accurate results. I think the reliability can be a problem because of the fact peoples situations on age could easily change. Even though the validity would still be high the reoccurrences could constantly be changing and I think that if you can rule out rival hypothesis you should be able to control the situation. In my research most of my data came from previous studies such as National Statistics to get a better background on the information. The data I collected came from the Native Village which has many tour groups from all over visit. Many of them being children I saw this as an appropriate setting. I simply asked the tour leader if I some of the children could take part in my research project. Before the participants left I asked each one to privately fill out the survey without putting their name. Then when done slip it in the shoe box and was finished. Out of the 80 questionnaires about forty percent where in the age range of 9-12, 32% were in the 13-16 range and 28% were 17-20. Overall I felt this a justify group to ask the questions considering all the age ranges were represented close in percentages. Though more 9-12 came in I tried to keep the numbers as balance as possible to show better accuracy. When I looked through the group I had found some very interesting findings. That the majority of smokers lived with nonsmokers and that their influence came from peers. But in the younger age the results varied greatly then tho...
