This writes out the response file edited to more closely match an ideal Guttman scalogram. It is in a format close to the original data file, with items and person in entry order.
For counts of Guttman errors.
GUFILE=? opens a Browse window
Outlying 1's are converted to 0's according to G0ZONE=
Outlying 0's are converted to 1's according to G1ZONE=
This removes unlikely 1's in the G0ZONE (e.g., lucky guesses)
and unlikely 0's in the G1ZONE (e.g. careless mistakes)
It is also useful for imputing theories about item hierarchies.
G0ZONE= sets the % of observed 0's, starting from the "difficult" side of the Guttman scalogram, among which all 1's are turned to 0's. (The item hierarchy is constructed with the current data, but can be enforced through anchoring.) Standard value is 50.
G1ZONE= sets the % of observed 1's, starting from the "easy" side of the Guttman scalogram, among which all 0's are turned to 1's. Standard value is 50.
Example:
GUFILE= guttman.txt
G0ZONE = 20%
G1ZONE = 40%
Original data (Guttman ordered)
11100110011001001010
becomes
11111110011001001000
The file format matches the input data file if both are in fixed-field format.
When GUFILE= is written with CSV=Y, comma-separated or CSV=T, tab-separated, the item responses precede the person label.
Example: KCT.txt Guttmanized with fixed field format:
Richard M 111111100000000000
Tracie F 111111111100000000
Walter M 111111111001000000
KCT.txt Guttmanized with comma-separated, CSV=Y, format:
1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,Richard M
1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,Tracie F
1,1,1,1,1,1,1,1,1,0,0,1,0,0,0,0,0,0,Walter M
