Performing Bias/Interaction analysis |
This is for 32-bit Facets 3.87. Here is Help for 64-bit Facets 4
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 or that you request from the "Output Tables" menu.
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 14 Bias terms
+-----------------------------------------------------------+
| Iteration Max. Score Residual Max. Logit Change |
| Elements % Categories Elements Cells |
|-----------------------------------------------------------|
| BIAS 1 9.8439 24.6 -.8196 14 |
| BIAS 2 -1.7060 -4.3 -.2122 11 |
| BIAS 3 -.2214 -.6 -.0336 7 |
| BIAS 4 -.0051 .0 -.0008 0 |
+-----------------------------------------------------------+
Table 9.1 Bias Iteration Report
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2 more Bias iterations
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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
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