Performing Bias/Interaction analysis

When bias analysis has been requested in one or more Model= statements, then a secondary analysis is performed for each model with bias interactions ("B") specified.

 

Bias/Interaction analysis specified by Model: ?B,?B,?,CREATIVITY

 

There are as many bias analyses as there are Model= statements with "B"s

 

There are empirically 21 Bias terms

 

There is one term for each element combination from the two facets.

 

Table 9.1  Bias Iteration Report

Bias/Interaction: 1. Senior scientists, 2. Junior Scientists

>=============================================================================<

There are empirically 21 Bias terms

Iteration 1   Largest Residuals  |----------Score------------|   logit Measure

Model:1. Senior scientists, No.   Raw  Expected Residual Resd%  Value    Change

>=============================================================================<

2=Brahe 5=Edward             14      9     22.0    -13.0 -144.   1.000   -1.000

Iteration    1  BIAS                       max.=   -13.0 -144.     max.= -1.000

 

|

2 more Bias iterations

|

 

Iteration 4   Largest Residuals  |----------Score------------|   logit Measure

Model:1. Senior scientists, No.   Raw  Expected Residual Resd%  Value    Change

>=============================================================================<

2=Brahe 5=Edward             14      9      9.0       .0    .0   1.267     .000

Iteration    4  BIAS                       max.=      .0    .0     max.=   .000

 

 

Column headings have the following meanings:

Model:= Specification of bias model, reported over the number and label of each element interacting to estimate a bias term.

No.= Sequence number of bias term.

 

Score

Raw= Observed integer score for this interaction of elements.

Expected= Score expected based on current bias estimate.

Residual= Difference between observed Score and Expected score

 

Logit Measure

Value= Revised estimate of bias in log-odds units (logits).

Change= Change in logit bias estimate from logit estimate of the previous iteration.

 

Estimate mean =mean value of the bias estimates for this model, usually near 0.0.

        S.D.=sample standard deviation of the estimates, which is not constrained to any value.

Count =number of reportable bias estimates

max.=Is the maximum change or residual for any element.

Iteration=The number of times BIAS has been applied to the data.

BIAS=A Newton-Raphson, residual-score to logit, estimation routine

 

Fit statistics are computed for the bias terms, and then results are reported:

 

Calculating Bias fit statistics

>=============================================================================<

Table 11.1  Bias/Interaction Measurement Summary

Table 12.1  Bias/Interaction Summary Report

Table 13.1.1  Bias/Interaction Report (arranged by mN)

>.<

Table 13.1.2  Bias/Interaction Report (arranged by 0fN)

>.<

Press Ctrl+F to stop Table 14 bias/interaction reporting.

Tables 14: There are 21 pairwise terms for 1. Senior scientists

Table 14.1.1.1  Bias/Interaction Pairwise Report (arranged by mN)

>=============================================================================<

>.<

Table 14.1.2.1  Bias/Interaction Pairwise Report (arranged by 0fN)

>=============================================================================<

>.<

Tables 14: There are 84 pairwise terms for 2. Junior Scientists

Table 14.1.1.2  Bias/Interaction Pairwise Report (arranged by mN)

>=============================================================================<

>.<

Table 14.1.2.2  Bias/Interaction Pairwise Report (arranged by 0fN)

>=============================================================================<

>.<


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