Hi all
Can I get some help from you, I am a research student I developed questionnaire to get some information but after I get the results I am confused what is the best way to analyze this data
Briefly : my project about thing called (Agile Manufacturing ) I am try to develop a model to help the companies to be agile companies , agile manufacturing is divided to main four areas and each area has some attributes , by using the questionnaire I try to fined which of these areas this company are, or what is the nearest area to this company , and how I can help it to be agile in the right area , I asked about 76 question for the four areas : area1 =30 question , area2 =18, area 3=17 area 4 =11 question as you see here the no of question in each area are not the same , I tried to use the factor to make all the result get the same points (ex: area1 factor 30/30 =1 , area2 30/18 , area3 30/17 and area 4 30/11 )
Here some types of questions, all the questions are 1 to 5 scales (1=yes, positive, very rapid ……. Etc and 5 no, negative, very slow…..)
1. Is your company rapid in introducing new models to the market every year?(1-5)
2. Is your company rapid in changing production to introduce new models?(1-5)
3. Is the lead time of your product short, as from a concept to a sold product?(1-5)
Could you please help me how I can analyze these data with the right way
Thank you in advance
Hi,
Hate to dissapoint you but the wording of the questions, what asked, where asked, when asked, who asked by, who asked is more important than the processing.
A very simple score would be to calculate a rank weighting for each answer and come up with an agility measure.
Peter
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