Hi everybody, Can someone help me with my last post? Thanx Uziel
[EMAIL PROTECTED] (Uziel) wrote in message news:<[EMAIL PROTECTED]>... > 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/ . =================================================================
