Tuesday, April 17, 2012

WEEK 2 EOC: Research Survey and Results


In researching surveys online I found that most important is the data collected. If correct accurate data isn’t collected then the surveys and research done is basically a waste. In marketing there are several research strategies. “Basic research is the type of research that academics use." (Market Research For Dummies, Pg. 37) These are commonly used for journalism. “Applied Research is the type that research consultant departments use." (Marketing Research For Dummies. Pg. 38) This gives different ideas for different scenarios. The best research which I found in most of the surveys you had us view online at http://academic.marketresearch.com/index.asp?prid=1078246724.
was Exploratory, descriptive and applied. I talked about applied research earlier but exploratory and descriptive give descriptive and qualitative report information. “Exploratory research is qualitative research in depth interviews and observations."(Marketing Research For Dummies, Pg. 39) I think in my research for my project causal research will be effective, in which you will be able to tell if there is an effect from the cause. “Causal research chiefly relies on experiments to establish cause and effect relationships.”(Marketing Research for Dummies, Pg. 39) 
  A main thing to remember in doing research and surveys is combining information from various sources. “ Merging data from several sources is far more prohibited in Europe than in the united states. In Fact, some European laws preclude this practice.” (Marketing Research For Dummies, Pg. 55)
"Remember conducting unnecessary research merely to earn fees and cover overhead exspenses- which analogous to physcician performing unnecessary  surgery or dentist performing aunneseccary dental work, is a major abuse that you should avoid." (Marketing Research For Dummies, Pg. 58) Thats why its necessary for you to make a plan for your research technique, and try to foolw the best route that will elude any un-needed information or wasted data.

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