The questions below correspond with the SPSS .sav file called BARGAIN.SAV.  The
data concern a simulation involving two attorneys negotiating an out-of-court
settlement in a personal injury case.  The unit of analysis is the dyad, and
the variables have the following meanings:

ID	 	dyad identification number
JA	 	Joint Authority; how much latitude was given to the attorneys by their
		clients (1 = both attorneys have low authority; 2 = both high)
BR 	 	Bargaining Range; how far apart the attorneys were when they started
		(1=low; 2=med; 3 = hi)
DEAD 	Deadlock (1 = settlement reached; 2 = deadlock)
Q6-Q14	Various questionnaire measures
Settle	Settlement value in thousands of dollars

Load the data into SPSS and run whatever analyses you need to in order to
answer the following questions.

1.  OF THOSE DYADS WHO SETTLED, how did bargaining range and joint authority
affect the final settlement value?  (Hint:  Create a new variable, NEWSETT,
that contains the settlement value for those dyads NOT deadlocking. Use a
COMPUTE statement to set NEWSETT = SETTLE, but do so only for those dyads in
which DEAD = 1.)

2.  Q11 represents the dyads satisfaction with the outcome (higher numbers mean
more satisfaction) and Q10 is the bargainers' views of their clients (higher
numbers mean more competitiveness).  FOR ALL DYADS, how did settlement value
and client competitiveness affect the bargainers' satisfaction?  (You may treat
Q10 and Q11 as interval level variables.)

3.  What is the influence of joint authority and bargaining range on the
frequency of deadlocking?