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Table 1 DIF parameter estimates for USA and Finland data

From: Comparing DIF methods for data with dual dependency

  LR HLR Testlet Multilevel testlet
Number
 Item 1 0.001 0.001 0.000 0.001
 Item 2 0.003 0.004 0.002 0.004
 Item 3 −0.002 −0.002 −0.001 −0.002
 Item 4 0.001 0.001 0.000 0.002
 Item 5 0.001 0.001 −0.002 0.002
 Item 6 −0.002 −0.002 −0.001 −0.001
 Item 7 0.001 0.001 0.001 0.002
 Item 8 0.000 0.000 0.000 0.000
Geometry
 Item 1 −0.001 −0.001 0.000 −0.001
 Item 2 −0.001 −0.001 −0.001 −0.001
 Item 3 0.000 0.000 0.000 0.000
 Item 4 −0.001 −0.001 0.000 0.000
Data and chance
 Item 1 −0.001 −0.001 0.000 −0.001
 Item 2 0.000 0.000 0.000 0.000
 Item 3 −0.001 −0.001 0.000 −0.001
 Item 4 −0.001 −0.001 0.000 −0.001
Algebra
 Item 1 0.000 0.000 0.000 0.000
 Item 2 0.001 0.001 0.000 0.001
 Item 3 0.001 0.001 0.001 0.001
 Item 4 0.000 0.000 0.000 0.000
 Item 5 0.002 0.002 0.001 0.002
  1. Italised DIF parameter estimates are significant at 5 %