DISFILE= category/distractor/option count file

DISFILE=filename produces an output file containing the counts for each distractor or option or category of each item, similar to Table 10.3.

 

DISFILE=? opens a Browse window

 

DISOPTION= Category or DISOPTION= Score summary. These control the contents of the output fields.

 

With DISOPTION= C

 

      ITEM CODE     VALUE SCORE    UNWTD   UNWTD %       WTD     WTD % AVGE MEAS P.SD MEAS S.E. MEAS INFT MNSQ OUTF MNSQ      PTMA LABEL

        13 *           -1   -1        17     56.67      17.0     56.67      1.14      1.99       .50       .00       .00       .46 nh01  supermarket

        13 a            0    0         2     15.38       2.0     15.38     -1.07       .12       .12       .68       .61      -.31 nh01  supermarket

        13 b            0    0         1      7.69       1.0      7.69      -.13       .00       .00      1.73      1.55       .14 nh01  supermarket

        13 c            1    1         8     61.54       8.0     61.54      -.58       .82       .31      1.35      1.40      -.11 nh01  supermarket

        13 d            0    0         2     15.38       2.0     15.38       .14       .60       .60      2.26      2.43       .36 nh01  supermarket

 

With DISOPTION= S

 

     ITEM CODE     VALUE SCORE    UNWTD   UNWTD %       WTD     WTD % AVGE MEAS P.SD MEAS S.E. MEAS INFT MNSQ OUTF MNSQ      PTMA LABEL

       13                  -1        17     56.67      17.0     56.67      1.14      1.99       .50       .00       .00       .46 nh01  supermarket

       13                   0         5     38.46       5.0     38.46      -.40       .68       .34      1.41      1.53       .11 nh01  supermarket

       13                   1         8     61.54       8.0     61.54      -.58       .82       .31      1.35      1.40      -.11 nh01  supermarket

 

This file contains 1 heading lines (unless HLINES=N), followed by one line for each CODES= of each item (whether the code is observed for the item or not) containing:

 

Columns:

Start:

End:

Heading

Description

1

10

ITEM

Item entry number

11

20

CODE

(blank for DISOPTION=

S)

Response code in CODES= or *** = missing (not subtotal)

21

25

VALUE

(blank for DISOPTION=

S)

Numerical value of the response code (directly or with KEYn=, NEWSCORE=, IVALUEx=, MISSCORE= etc.). -1 means "response is ignored"

27

30

SCORE

Score for category (DISOPTION=C) or summed across categories (DISOPTION=S) used for estimating the Rasch item measure (after recounting, weighting, etc.). -1 means "response is ignored"

31

40

UNWTD

Count of all valid response codes in data set (excludes missing except for "MISSING" lines)

41

50

UNWTD %

Percent of UNWTD responses to this item.

51

60

WTD

Count of all valid response codes (weighted with PWEIGHT=)  in data set (excludes missing except for "MISSING" lines)

61

70

WTD %

% of WTD responses to this item

71

80

AVGE MEAS

Average person measure for WTD responses

81

90

P.SD MEAS

P.SD is the population standard deviation of the person measures for WTD responses

91

100

S.E. MEAS

Standard Error of average person measure for WTD responses = sqrt (P.SD (AVGE MEAS)  /  (WTD - 1) )

101

101

INFT MNSQ

Infit Mean-square of weighted responses, omitting responses in extreme scores

111

120

OUTF MNSQ

Outfit Mean-square of weighted responses, omitting responses in extreme scores

121

130

PTMA

PTMA is the point-correlation between this code or summary score, scored 1, or its non-occurrence, scored 0, and the person raw scores or measures chosen by PTBISERIAL=. The computation is described in Correlations.

132

-

LABEL

Item label

 

DISOPTIION=C - Since the DISFILE= has the same number of CODES= and MISSING "***" entries for every item, the repeated fields are filled out with "0" for any unobserved response codes.

 

DISOPTIION=S - Only observed scores are reported.

 

Percentages for non-missing response-scores are computed based on total count of non-missing response scores. Percentages for missing response-scores are computed based on total count of all response scores.

 

When CSV=Y, commas separate the values with quotation marks around the "Item label", response in CODES=, and ***. When CSV=T, the commas are replaced by tab characters.

 

Example: You wish to write a file on disk called "DISCOUNT.TXT" containing the item distractor counts from table 14.3, for use in constructing your own tables:

 DISFILE=DISCOUNT.TXT

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Rasch Publications
Rasch Measurement Transactions (free, online) Rasch Measurement research papers (free, online) Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch Applying the Rasch Model 3rd. Ed., Bond & Fox Best Test Design, Wright & Stone
Rating Scale Analysis, Wright & Masters Introduction to Rasch Measurement, E. Smith & R. Smith Introduction to Many-Facet Rasch Measurement, Thomas Eckes Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr. Statistical Analyses for Language Testers, Rita Green
Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar Journal of Applied Measurement Rasch models for measurement, David Andrich Constructing Measures, Mark Wilson Rasch Analysis in the Human Sciences, Boone, Stave, Yale
in Spanish: Análisis de Rasch para todos, Agustín Tristán Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez
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