(controlled by FITP=, LINELENGTH=, MNSQ=, OUTFIT=, T7OPTIONS=)
These tables show the persons or items for which the t standardized outfit (or infit, if OUTFIT=N) statistic is greater than the misfit criterion (FITP=). FITP=-10 with MNSQ=No displays all persons. Persons are listed in descending order of misfit. The response codes are listed in their sequence order in your data file. The residuals are standardized response score residuals, which have a model led expectation of 0, and a variance of 1. Negative residuals indicate that the observed response was less correct (or, for rating (or partial credit) scales, lower down the rating scale) than expected. The printed standardized residual is truncated, not rounded, so that its actual value is at least as extreme as that shown. Standardized residuals between -1 and 1 are not printed. For exact details, see XFILE=. "M" indicates a missing response.
"X" indicates that the item obtained an extreme score."X" in Tables 7.1 and 11.1 indicates that the observation is part of an extreme score, and so does not have a standardized residual. All residuals for extreme scores are conceptually zero. Persons with "X" in Item Table 11.1 (because they have extreme scores) do not appear in Table 7.1, and vice-versa, because those extreme persons and items are not part of the misfit process. Basically "X" says "this observation is excluded from the misfit computation".
For Table 7, the diagnosis of misfitting persons, persons with a t standardized fit greater than FITP= are reported. Selection is based on the OUTFIT statistic, unless you set OUTFIT=N in which case the INFIT statistic is used.
TABLE OF POORLY FITTING PERSONS (ITEMS IN ENTRY ORDER)
NUMBER NAME POSITION MEASURE INFIT (ZSTD) OUTFIT MISFIT OVER 2.0
23 GEORGE 2.00 5.8 A 8.1
RESPONSE: 1: 0 2 1 1 1 2 2 0 2 0 0 1 0 1 1 0 1 0 0 0 0 1 1 0 0
Z-RESIDUAL: X 2 3 3 2
RESPONSE: 26: 1 2 0 2 1 M 0 0 1 1 1 0 1 0 0 1 0 0 0 0 0 0 0 2 1
Z-RESIDUAL: 3 6 2 -2 -2 4
/ This letter on fit plots
5 MARY 2.21 5.2 B 6.5
RESPONSE: 1: 1 2 0 0 1 2 0 0 1 0 0 2 0 0 1 1 0 0 0 0 0 1 1 0 1
Z-RESIDUAL: X 2 4 6 -2
Example: Table 7.1 with T7OPTIONS = OERZ in an analysis of Example0.txt:
TABLE OF POORLY FITTING KID (ACT IN ENTRY ORDER)
NUMBER - NAME -- POSITION ------ MEASURE - INFIT (MNSQ) OUTFIT
72 M Jackson, Solomon -1.32 2.0 A 5.2
OBSERVED: 1: 1 0 0 1 0 0 0 1 0 0 <- T7OPTIONS= O
EXPECTED: 0.6 0.7 0.3 0.1 0.1 0.4 0.2 0.1 0.3 1.1 <- T7OPTIONS= E
RESIDUAL: 0.4 -0.7 -0.3 0.9 -0.1 -0.4 -0.2 0.9 -0.3 -1.1 <- T7OPTIONS= R
Z-RESIDUAL: 2 2 <- T7OPTIONS= Z
The OBSERVED value is the scored response, before recounting due to STKEEP=No, if any.
The EXPECTED value is the OBSERVED value - RESIDUAL value.
