(controlled by LCONV=, RCONV=, CONVERGE=, MPROX=, MJMLE=, CUTLO=, CUTHI=)
Table 0.1 Analysis Identification
Table 0.2 Convergence report
Table 0.3 Control file
Table 0.4 Subset details
Table 0 is in the Report Output File in the Edit menu. In the Output Table menu, request it from Subtable, 0.
CONVERGENCE TABLE
+----------------------------------------------------------------------------+
| PROX ACTIVE COUNT EXTREME 5 RANGE MAX LOGIT CHANGE |
| ITERATION PUPILS ACTS CATS PUPILS ACTS MEASURES STRUCTURE|
|----------------------------------------------------------------------------|
| 1 76 25 3 3.59 1.62 3.1355 -.1229 |
| 2 74 12 3 4.03 1.90 .3862 -.5328 |
| 3 74 12 3 4.19 1.96 .1356 -.0783 |
WARNING: DATA ARE AMBIGUOUSLY CONNECTED INTO 6 SUBSETS. MEASURES ACROSS SUBSETS ARE NOT COMPARABLE
see Connection Ambiguities
----------------------------------------------------------------------------|
| JMLE MAX SCORE MAX LOGIT LEAST CONVERGED CATEGORY STRUCTURE|
| ITERATION RESIDUAL* CHANGE PUPIL ACT CAT RESIDUAL CHANGE |
|----------------------------------------------------------------------------|
| 1 -2.04 .2562 7 5* 2 -.72 .0003|
+----------------------------------------------------------------------------+
Time for estimation: 0:0:0.166
The meanings of the columns are:
PROX normal approximation algorithm - for quick initial estimates
ITERATION number of times through your data to calculate estimates
ACTIVE COUNT number of parameters participating in the estimation process after elimination of deletions, and perfect (maximum possible) and zero (minimum possible) scores:
PERSONS person parameters
ITEMS item parameters
CATS rating scale categories - shows 2 for dichotomies
These counts may reduce because persons, items or categories may have been
1.deleted
2.dropped because they have no responses
3.dropped from standard estimation because they are unanchored and have extreme scores. These will be reported with Bayesian estimates.
EXTREME 5 RANGE
PERSONS The current estimate of the spread between the average measure of the top 5 persons and the average measure of the bottom 5 persons.
ITEMS The current estimate of the spread between the average measure of the top 5 items and the average measure of the bottom 5 items.
MAX LOGIT CHANGE
MEASURES maximum logit change in any person or item estimate. This i expected to decrease gradually until convergence, i.e., less than LCONV=.
STRUCTURE maximum logit change in any Andrich Threshold estimate - for your information - need not be as small as MEASURES.
JMLE JMLE joint maximum likelihood estimation - for precise estimates
ITERATION number of times through your data to calculate estimates
It is unusual for more than 100 iterations to be required
MAX SCORE RESIDUAL maximum score residual (difference between integral observed core and decimal expected score) for any person or item estimate - used to compare with RCONV=. This number is expected to decrease gradually until convergence acceptable.
* indicates to which person or item the residual applies.
MAX LOGIT CHANGE maximum logit change in any person or item estimate - used to compare with LCONV=. This number is expected to decrease gradually until convergence is acceptable.
LEAST CONVERGED element numbers are reported for the person, item and category farthest from meeting the convergence criteria.
* indicates whether the person or the item is farthest from convergence.
the CAT (category) may not be related to the ITEM to its left. See Table 3.2 for details of unconverted categories.
CATEGORY RESIDUAL maximum count residual (difference between integral observed count and decimal expected count) for any response structure category - for your information. This number is expected to decrease gradually. Values less than 0.5 have no substantive meaning.
STRUCTURE CHANGE maximum logit change in any structure calibration (usually Rasch-Andrich Threshold). Not used to decide convergence, but only for your information. This number is expected to decrease gradually.
Look for scores and residuals in the last iteration to be close to 0,
