Table 30.5, 30.6 Within-class fit report

Table 30.5 Within-class fit report (person class within item).

 

DIF class specification is: DIF=@GENDER

--------------------------------------------------------------------------------------

| KID       OBSERVATIONS    BASELINE        W-INFIT    W-OUTFIT  TAP                 |

| CLASS    COUNT AVERAGE EXPECT MEASURE   MNSQ  ZSTD  MNSQ  ZSTD Number  Name        |

|------------------------------------------------------------------------------------|

......

| F           18     .89    .85   -3.38    .46  -1.2   .19   -.4      9 1-3-2-4      |

| M           16     .88    .92   -3.38    .88    .0   .23   -.3      9 1-3-2-4      |

| F           18     .72    .65   -1.57    .80   -.6   .76    .0     10 2-4-3-1      |

| M           16     .69    .77   -1.57   1.47   1.0   .91    .4     10 2-4-3-1      |

 

Table 30.6 Within-class fit report (item within person class)

 

DIF class specification is: DIF=@GENDER

--------------------------------------------------------------------------------------

| KID       OBSERVATIONS    BASELINE        W-INFIT    W-OUTFIT  TAP                 |

| CLASS    COUNT AVERAGE EXPECT MEASURE   MNSQ  ZSTD  MNSQ  ZSTD Number  Name        |

|------------------------------------------------------------------------------------|

| F           18     .89    .85   -3.38    .46  -1.2   .19   -.4      9 1-3-2-4      |

| F           18     .72    .65   -1.57    .80   -.6   .76    .0     10 2-4-3-1      |

.......

| M           16     .88    .92   -3.38    .88    .0   .23   -.3      9 1-3-2-4      |

| M           16     .69    .77   -1.57   1.47   1.0   .91    .4     10 2-4-3-1      |

 

For a general description, see Table 30.2

 

The DIF effects are shown ordered by CLASS within item (column of the data matrix).

 

KID CLASS identifies the CLASS of persons. KID is specified with PERSON=, e.g., the first CLASS is "F"

OBSERVATIONS are what are seen in the data

COUNT is the number of observations of the classification used for DIF estimation, e.g., 18 F persons responded to TAP item 1.

AVERAGE is the average observation on the classification, e.g., 0.89 is the proportion-correct-value of item 4 for F persons.
COUNT * AVERAGE = total score of person class on the item

BASELINE is the prediction without DIF

EXPECT is the expected value of the average observation when there is no DIF, e.g., 0.92 is the expected proportion-correct-value for F without DIF.

MEASURE is the what the overall measure would be without DIF, e.g., -4.40 is the overall item difficulty of item 4 as reported in Table 14.

 

W-INFIT is the Within-Group infit statistic for the person CLASS on the item.

W-OUTFIT is the Within-Group outfit statistic for the person CLASS on the item.

MNSQ is the mean-square statistic (chi-square divided by its degrees of freedom).

ZSTD is the mean-square statistic expressed as a z-score (unit normal deviate).


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