first, of course, install the shizzle
There are two main graphical user interfaces (GUI). One for tweaking the model parameters (Model GUI) and one for manage the input data (Data GUI).
First, open an input file.
(1) display’s the actors available in the dataset.
(2) display’s the available issues.
(3) display’s the different parameters for the model.
(4) summaries the current settings
Never used
Never used
With this set of inputs the variation of p can be tweaked.
start=0 step=0.05 stop=0.5 gives a sequence of 0.00, 0.05, 0.10, 0.15 … 0.50
The first p-value
The the incremental amount for p for each step
The last p-value to included
The amount of negotiation rounds. 10 iterations will involve 10 connected rounds of negotiation where in each round the actor shifts from his original position.
The amount of model repetitions. Needed to ensure statistical significance.
Different output types
The data GUI is designed for easy creation and manipulation of the data
There are three components
Robert Thompson has written an excellent instruction to determine these values for real world research. link to pdf.
An actor has a name and a power. The power is used to set each Actor Issue
An Issue has a name and a lower & upper bound. You can leave the lower & upper bound to 0 to discard the values and let the model dynamically determine the lower and upper bound through the given values of the actor.
The position of each actor on each issue is defined by an Actor Issue. The position of an actor on an issue is based on the position of the other actors. The salience for an actor depends relatively on the other issues for an actor.