fp2analysis.doc                        July 18, 2002

 

Analysis of Field Project #2

Verbs of Quotation

due August 2, 2002

 

1.      The database for field project #2 is hungry for observations of the use of verbs of quotation.  Your task, once all the data has been entered, is to answer some of the questions about “be like” and other new verbs of quotation that motivated us to collect this data:

 

a.  When did these innovative forms begin to be used?

      b.  How did they originate?

      c.  To what social group do the leaders of the change belong?

      d.  Does be like mean the same as go and say? If it has a different meaning, what is it?

      e.  What are the limits of the use of be like and other new forms in the grammatical system?

 

2.      Approaches to analysis:

 

a.  One approach to the analysis is to reduce the number of different verbs of quotation by classifying them into groups.  Create a new column in your spread sheet for this purpose. You can use the COUNTIF function to sum up the existing totals.

 

b.  A second approach is to examine sub-groups of speakers by age, ethnicity and gender and see what verbs of quotation they use. You will probably want to reduce the age classification to a smaller set, using a function like:

                 =IF(F2<20,1,IF(F2,<30,2,3))

           which classifies age as under 20 = 1, 20-30 = 2, over 30 = 3

 

c.  After you have sub-grouped the data and discovered regularities, you can look more deeply into any exceptional cases by examining the full data set, including all the data available for those cases. You can use these special cases to understand better the variations that you discover.

 

3.      Form of the report.  Please examine three independent variables.

 

a. A description of how you grouped the dependent variables  (the different verbs of quotation)

b. The independent variables you decided to examine and why

c. Several tables or graphs

d. The conclusions you draw from the tables or graphs and any broader implications these might have, based on discussion in class and your reading

e.  Use the chi-square test as needed to test hypotheses and defend some of your findings.  In evaluating any regularity concerning age, gender or ethnicity, be sure to begin with the total number of each social category in the data base. Use statistics on the cases that seem problematic.