Hi Stan, Thank you so much for responding. I will try to give some more details.
I have 3 workers who serve about 50 saleswomen and salesmen in my company. The first worker serves all of the 50 (First section). second and third workers serves about 25 each, same service to different saleswomen/men (Second section)."No relationship between the two sections." My intention was to check (internal) customer satisfaction. I have distributed 50 questionnaires with 28 questions, 14 for each section. The saleswomen/men were asked to tell which worker (second or third) serves them. The questions in the two sections are much alike. They all with scaled answers 1 - 5. I do not "expect men and women (or any other two groups) to have systematically different answers." Hope this clarifies my first post. Thank you again. Uziel Stan Brown <[EMAIL PROTECTED]> wrote in message news:<[EMAIL PROTECTED]>... > In article <[EMAIL PROTECTED]> in > sci.stat.edu, Uziel wrote: > >I have about 40 returned questionnaires, which contain 28 questions, > >divided into two sections of 14 questions each. > >Each Question has 1 to 5 scale answers. > >Now, my question is, besides summing up: how many picked X answer in Y > >question, > >What kind of analysis can I perform? Is there a Tutorial/guide I can > >find on the web? > > Meaning no disrespect, I think you're putting the cart before the > horse. You're saying, in effect, "Here's a bunch of data; how do I > analyze them?" The answer to that depends on what you're trying to > find, and _that_ should be your first question, before even you > start collecting data. > > So what are you trying to find?> Is there supposed to be some > relationship between the two sections? Do you expect men and women > (or any other two groups) to have systematically different answers? > Is this some sort of attitude survey, and you want to make > statements about the attitudes of the population your sample came > from? > > Data analysis is a toolbox. Which tool you select depends on what > you're trying to accomplish. So tell us more about _that_ and we may > be able to make useful suggestions. . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
