Table 13.1 Item statistics in measure order 
(controlled by USCALE=, UMEAN=, UDECIM=, LOCAL=, TOTAL=, DISCRIMINATION=, ASYMPTOTE=, PVALUE=)
ITEM STATISTICS: MEASURE ORDER
PERSON: REAL SEP.: 1.55 REL.: .70 ... ITEM: REAL SEP.: 3.73 REL.: .93
Above the Table are shown the "real" separation coefficient and reliability (separation index) coefficients from Table 3.

ENTRY TOTAL TOTAL MODEL INFIT  OUTFIT PTMEASURALEXACT MATCHESTIM ASYMPTOTE  P     
NUMBER SCORE COUNT MEASURE S.E. MNSQ ZSTDMNSQ ZSTDCORR. EXP. OBS% EXP%DISCRLOWER UPPERVALUE RMSRWEIGHDISPLACE TAP G 
++++++++++
 1 35 35 6.59A 1.851.00 .01.00 .0A .00 .00100.0 100.0 1.00 .00 1.00 1.00 .000 .50 .52 14 1 
 5 31 35 3.83 .701.04 .2 .52 .1B .55 .55 88.2 91.7 1.01 .05 1.00 .89 .248 1.00 .87 214 2 
 6 30 35 3.38 .64 MAXIMUM MEASURE  .53 .58100.0 100.0   .86 .289 1.00 .64 341 1 
 7 31 35 3.83 .70 MINIMUM MEASURE  .40 .55100.0 100.0   .89 .281 1.00 .57 1432 2 
 8 27 35  DROPPED          1423 1 
 10 0 35  INESTIMABLE: HIGH          2431 3 
 11 35 35  INESTIMABLE: LOW          13124 4 
 9 DELETED            1324 2 
 12 DESELECTED            13243 1 
....
+++++++++++
 MEAN 18.5 35.0 .59 .94 .96 .0 .68 .1  89.9 90.0      .32 
 P.SD 13.9 .0 4.21 .49 .28 .7 .58 .5  6.3 5.3      .27 
+
Column 
Description 

ENTRY NUMBER 
the sequence number of the person, or item, in your data, and is the reference number used for deletion or anchoring. 

TOTAL SCORE TOTAL COUNT

Totalscore=Yes . This is the score when reading in the data.


NONEXTREME SCORE NONEXTREME COUNT 
Totalscore=No  the raw score and count of response by a person on the test, or the sum of the scored responses to an item by the persons, omitting responses in extreme and inestimable scores. This is the score when estimating person abilities and item difficulties. 

MEASURE 
the estimate (or calibration) of the person ability (theta, B, beta, etc.), or the item difficulty (b, D, delta, etc.). Values are reported in logits with two decimal places, unless rescaled by USCALE=, UIMEAN=, UPMEAN=, UDECIM=.
The difficulty of an item is defined to be the point on the latent variable at which its high and low categories are equally probable. SAFILE= can be used to alter this definition. 

A after MEASURE, MAXIMUM, etc. 
see STATUS Table below 

MODEL S.E. REAL S.E. 
MODEL S.E. is the standard error of the estimate. REAL S.E. is the misfitinflated standard error. These are commonly referred to as conditional standard errors of measurement (CSEM). 

INFIT 
an informationweighted statistic, which is more sensitive to unexpected behavior affecting responses to items near the person's measure level. 

OUTFIT 
an unweighted statistic, more sensitive to unexpected behavior by persons on items far from the person's measure level. 

MNSQ 
a meansquare statistic. This is a chisquared statistic divided by its degrees of freedom. Its expectation is 1.0. Values substantially less than 1.0 indicate overfit = dependency in your data. Values values substantially greater than 1.0 indicate underfit = unmodeled noise. See dichotomous and polytomous fit statistics.


ZSTD ZEMP LOG 
the INFIT or OUTFIT meansquare fit statistic t standardized to approximate a theoretical "unit normal", mean 0 and variance 1, distribution. ZSTD (standardized as a zscore) is used of a ttest result when either the ttest value has effectively infinite degrees of freedom (i.e., approximates a unit normal value) or the Student's tstatistic distribution value has been adjusted to a unit normal value. The standardization is shown on RSA, p.100101. When LOCAL=Y, then ZEMP is shown, indicating a local {0,1} standardization. When LOCAL=LOG, then LOG is shown, and the natural logarithms of the meansquares are reported. More exact values are shown in the Output Files. 

PTMEASURAL CORR. PTMEASURAL EXP. 
an observed pointcorrelation: PTBISERLAL, PTBISERLEX, PTMEASUREA, PTMEASUREX, see Correlations. Negative reported correlations suggest that the orientation of the scoring on the item, or by the person, may be opposite to the orientation of the latent variable. This may be caused by item miskeying, reverse scoring, person special knowledge, guessing, data entry errors, or the expected randomness in the data.
In FIT ORDER Tables 6.1 and 10.1, letters A, B, ... indicating the identity of persons or items appearing on the Infit and Outfit plots, Tables 4, 5, 8, 9, precede the correlations. If the pointcorrelation is inestimable because items have different numbers of categories, this column does not appear, or only the FIT letters display.
EXP. is the expected value of the pointcorrelation when the data fit the Rasch model with the estimated measures. See Correlations. 

EXACT MATCH OBS% EXACT MATCH EXP% 
OBServed% is the percent of data points that are within 0.5 score points of their expected values, i.e., that match predictions. EXPected% is the percent of data points that are predicted to be within 0.5 score points of their expected values. 

ESTIM DISCRIM 
an estimate of the item discrimination, see DISCRIM= 

ASYMPTOTE LOWER ASYMPTOTE UPPER 
estimates of the upper and lower asymptotes for dichotomous items, see ASYMPTOTE= 

PVALUE 
the observed proportioncorrect (pvalue) for 0/1 dichotomies, or observed average rating on the item, see PVALUE=. 

RMSR 
rootmeansquareresidual of observations not in extreme scores, see RMSR=. 

WEIGH 
the weight assigned by IWEIGHT= or PWEIGHT=. When WEIGHT = 0.0, the item or person is estimated, but does not influence the estimate of any other item or person. 

DISPLACE 
the displacement of the reported MEASURE from its dataderived value. This should only be shown with anchored measures. The displacement values can be see in IFILE= and PFILE= output files. The displacement is an estimate of the amount to add to the MEASURE to make it conform with the data. 

PERSON ITEM 
the name of the list of persons (data rows) or items (data columns) reported here 

G 
the grouping code assigned with ISGROUPS=. Table 3.2, 3.3, etc. show the details of rating scales, etc., for each grouping code. 

M 
model code assigned with MODELS= 

SUBSET: 
the person or items are in incomparable subsets, see Subsets. 
Reported 
STATUS 
Measured? 
Reason 
A (after Measure) 
2 
Yes 
Anchored (fixed) measure. The reported S.E. is that which would have been obtained if the value had been estimated. Values are reported in logits with two decimal places, unless rescaled by USCALE=, UDECIM= 
(MEASURE) 
1 
Yes 
Estimated measure 
MINIMUM 
0 
Yes 
Extreme minimum score. Measure estimated using EXTRSC= MINIMUM and MAXIMUM measures may occur because other MINIMUM and MAXIMUM measures have been dropped from the estimation. Inspect with TOTALSCORE=No. 
MAXIMUM 
1 
Yes 
Extreme maximum score. Measure estimated using EXTRSC= MINIMUM and MAXIMUM measures may occur because other MINIMUM and MAXIMUM measures have been dropped from the estimation. Inspect with TOTALSCORE=No. 
DROPPED 
2 
No 
No responses available for measurement. Perhaps due to CUTLO=, CUTHI=, CODES=, or deletion of other persons or items. 
DELETED 
3 
No 
Deleted by user. PDELETE=, PDFILE=, IDELETE=, IDFILE=, PSELECT=, ISELECT= 
INESTIMABLE: HIGH 
4 
No 
Inestimable: high (all responses in the same category with ISGROUPS=0 or CUTHI=). The measure probably has a high value. For an item, this can be resolved using SAFILE= or grouping this item with a similar estimable item: SAFILE=* 23 0 0 ; itemnumber bottomcategory 0 23 1 0 ; itemnumber topcategory 0 * 
INESTIMABLE: LOW 
5 
No 
Inestimable: low (all responses in the same category with ISGROUPS=0 or CUTLO=). The measure probably has a low value. For an item, this can be resolved using SAFILE= or grouping this item with a similar estimable item: SAFILE=* 23 0 0 ; itemnumber bottomcategory 0 23 1 0 ; itemnumber topcategory 0 * 
DROPPED A (after Measure) 
6 
Yes 
Anchored (fixed) measure with no observed raw score 
DESELECTED 
7 to 16 
No 
Temporarily deselected by Specification box with iSELECT= , etc. (usual STATUS  10) 
OMITTED 
17 to 26 
No 
Temporarily deleted by Specification box with iDELETE=, etc. (usual STATUS  20) 
REMOVED 
27 to 36 
No 
Temporarily deselected and deleted by Specification box with iSELECT= , etc., and iDELETE=, etc. (usual STATUS  30) 
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