Material on development thrusts will appear below as appropriate.
NOTE: With new data it was recognized that an immediate priority for Program 2 was allowing for processing weighted data. See Program 2 for the two weighting options allowed. Upgraded program 2 will be available around the end of April and that is when information on weighting options and a new graphic display of results will be publically available. Information is being posted in advance.
A new development matter is addressing the matter of heap sharing at 25, 50, 75 and 100. Surveys work in these ranges and one can suspect 25 has both a [23,25,27] and a wider prototype such as [17,25,33].
At 50 prototypes may be [47,50,52], [45,50,55] and [34,50,x] where x>16 (the prototype may be assymetric with a “lean” toward 75.
Another matter is very different and affects estimated bias. That matter is dealing with confident responding. We know that responses of 1 are only “guesses” in that telescoping or other response biases may occur. Isn’t this true for most responses of 2? Isn’t a response of 3 generally given with confidence but it is in the prototype [3,5,7]. How should 3, 4 and even 5 being in [3,5,7] impact distributing back to responses from 3 to say 15?
NOTE: With new data it was recognized that an immediate priority for Program 2 was allowing for processing weighted data. See Program 2 for the two weighting options allowed. Upgraded program 2 will be available around the end of April and that is when information on weighting options and a new graphic display of results will be publically available. Information is being posted in advance.
A new development matter is addressing the matter of heap sharing at 25, 50, 75 and 100. Surveys work in these ranges and one can suspect 25 has both a [23,25,27] and a wider prototype such as [17,25,33].
At 50 prototypes may be [47,50,52], [45,50,55] and [34,50,x] where x>16 (the prototype may be assymetric with a “lean” toward 75.
Another matter is very different and affects estimated bias. That matter is dealing with confident responding. We know that responses of 1 are only “guesses” in that telescoping or other response biases may occur. Isn’t this true for most responses of 2? Isn’t a response of 3 generally given with confidence but it is in the prototype [3,5,7]. How should 3, 4 and even 5 being in [3,5,7] impact distributing back to responses from 3 to say 15?