Residuals / Responses Output File = " " 
If a residual/response output filename is specified by Residual file=, a file of residuals from the main analysis is produced. This file is designed for input into other programs with one line per measurable observation. It can be used for calculating other fit statistics and producing specialized diagnostic reports.
Heading lines= control the output of the heading line. CSV= allows tabdelimited and other formats. QM quotation marks, controls whether labels are within quotation marks.
This file can be produced from the Output Files menu by clicking on Residual/Response Output file. This has additional options.
Here is an example of the format with 4 decimal places in the "Select fields" dialog box. The precise format depends on the number of facets in your data:
Obs Stp Exp Res Var StRes Wt LProb Meas Displ Status 1 1 Senior sci
1 1 2.1609 1.1609 1.6268 .9102 .3000 .7140 .7007 .7136 1 1 .9859 Avogadro
1 1 1.4130 .4130 .7187 .4871 .3000 .2370 1.3477 .5746 1 1 9859 Avogadro
3 3 1.5490 1.4510 .9248 1.5088 .3000 1.6711 1.1816 1.5689 1 1 9859 Avogadro
The columns are:
Fixed field columns 
Abbreviation 
Description 

110 
Obs 
response as observed in the data file 

1120 
Stp 
observed response as renumbered into a count of ordered steps 

2130 
Exp 
expected score for this response (decimal places set in selection dialog box) 

3140 
Res 
score residual: (observed Stp  expected Exp) 

4150 
Var 
model variance of observed score around the expected score for this response, the statistical information in this response 

5160 
StRes 
standardized residual: residual / sqrt (variance) 

6170 
Wt 
weighting (model weight * observation weight * item weight) 

7180 
LProb 
natural logarithm of the probability of the observation 

8190 
Meas 
sum of the measures of the elements producing the observation (userscaled: Umean=) 

91100 
Disp 
displacement = measure residual = (score residual / variance)*(userscaling). The measure of element 1 according to this observation is "element measure" for element + "displacement" * (orientation of facet 1) 

101110 
Status 
Status Code 
Meaning 
6 (not used for estimation) 
Repsonse in two multipleobservation ranges, such as 14, 26,... 

5 (not used) 
Responses after endoffile. 

4 (not used) 
Responses only in extreme scores. 

3 (not used) 
Responses with invalid elements. Elements for these observations are not defined. See Table 2. 

2 (not used) 
Responses in two extreme scores 

1 (not used) 
Responses invalid after recounting A dichotomy or rating scale has less than two categories, so it cannot be estimated. 

1 (used for estimation) 
Responses used for estimation 

2 (used) 
Responses in one extreme score 

111120 
(facet number) 
element number for facet 1 

 


 
(facet number) 
element measure for facet 1 from Table 7 (userscaled) 

 


 
(facet label) 
element label for facet 1 

 

For "Category implies Measure" (C>M) and "Measure implies Category" (M>C) statistics, for each observation in the Facets Residualfile=,
"expected score for this response"  round this to the nearest category number = expected average category
if "expected average category" = "observed response as renumbered into a count of ordered steps" then MC = 1, else, MC = 0.
Compute average of MC for each observed category across all the relevant data for C>M
Compute average of MC for each expected category across all the relevant data for M>C
Example: The "Obs" (observed) is the original data. The "Stp" (step) is the ordinal version of the original data. This version is used for analysis, and is the version on which the "Exp" (expected) and the "Res" (residual) are based. This version may be the same as the original data, or the original data may be transformed either due to explicit instructions by the analyst, or by default operation of Facets.
For instance, suppose that the original data are observations of these three values: 10, 20 and 30. Then, by default, Facets will analyze these observations as the "steps": 10, 11, 12. If the original data are intended to be 10,11,12,13,14,....,28,29,30. Then please specify this is in your Models= statement:
?,?,..., R30K ; where "K" means "Keep" the original numeration.
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