ESTMULT= estimate change multiplier |
During the JMLE estimation procedure, the measure estimates are improved each traversal of the data. The changes to the item and person estimates are computed by comparing the observed scores against the expected scores based on the current estimates. The changes are computed by curve-fitting. This process is not exact, so the changes are reduced by a factor of 0.7, the default value of ESTMULT=. This is to prevent changes becoming too big. But, if convergence (agreement between observed and expected scores) is happening too slowly, then higher values of ESTMULT= may be helpful.
During JMLE iterations, ESTMULT= can be changed using the Diagnosis Menu.
ESTMULT = 0.7 |
the default estimation-change multiplier |
ESTMULT = 0.1 - 0.6 |
changes to estimates are smaller. More iterations to convergence |
ESTMULT = 0.8 - 1.0 |
changes to estimates are bigger. Perhaps fewer iterations to convergence. |
ESTMULT = 1.1 - 2.0 |
changes to estimates are so big that estimates may overshoot so that estimates become worse and convergence is never reached. Change ESTMULT= when near to convergence |
Example with large dataset:
In the Estimation window on change: |
>=== ESTMULT = .778 =====================================================< |
|
ESTMULT= value |
JMLE MAX SCORE MAX LOGIT ITERATION RESIDUAL* CHANGE |
Comment |
ESTMULT= 0.7 (default) |
7 -2507.00 .0008 8 -2488.50 .0007 9 -2450.00 .0007 10 -2419.00 .0007 11 -2386.00 .0007 |
Slow, but safe |
ESTMULT= 1.064 |
31 -1757.50 .0008 32 -1563.50 .0008 33 -1704.00 .0007 34 -1474.00 .0007 35 -1657.50 .0007 36 -1384.00 .0007 |
Faster, but unstable |
ESTMULT= 0.960 |
47 -1214.00 .0005 48 -1192.50 .0005 49 -1167.00 .0005 50 -1146.50 .0005 51 -1123.00 .0004 52 -1102.50 .0004 |
Slow, safe (but see below) |
ESTMULT= 1.185 |
83 -773.00 .0004 84 -250.00 .0004 85 -927.00 .0004 86 21.00 .0005 87 -1232.00 .0006 88 490.00 .0007 89 -1809.00 .0009 90 1326.50 .0011 91 -2884.50 .0014 ..... 104 119828.00 .0584 |
Very fast, but diverges ← change ESTMULT= here |
ESTMULT= .960 |
106 159415.00 .0718 107 -144812.50 -.0567 108 129760.50 .0513 109 -117978.50 -.0460 110 105562.00 .0418 111 -96084.50 -.0374 112 85834.50 .0340 |
Fast, unstable, converges |
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