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An IERI – International Educational Research Institute Journal

Table 2 DIF parameter estimates for Korea and New Zealand data

From: Comparing DIF methods for data with dual dependency

 

LR

HLR

Testlet

Multilevel testlet

Number

 Item 1

0.014

0.014

0.005

0.012

 Item 2

−0.006

−0.007

−0.002

−0.007

 Item 3

0.000

−0.001

−0.002

−0.004

 Item 4

−0.006

−0.006

0.000

−0.010

 Item 5

0.006

0.007

0.002

0.008

 Item 6

0.005

0.005

0.002

0.003

 Item 7

−0.012

−0.012

−0.005

−0.014

 Item 8

−0.007

−0.007

−0.004

−0.003

Geometry

 Item 1

−0.005

−0.006

−0.011

−0.013

 Item 2

−0.010

−0.011

−0.007

−0.019

 Item 3

0.002

0.002

0.002

−0.005

 Item 4

0.007

0.008

0.001

−0.003

Data and chance

 Item 1

0.000

0.000

−0.001

0.000

 Item 2

0.017

0.017

0.005

0.009

 Item 3

−0.011

−0.012

−0.007

−0.017

 Item 4

0.003

0.040

0.000

0.002

Algebra

 Item 1

0.006

0.007

0.002

0.000

 Item 2

0.004

0.004

0.001

−0.004

 Item 3

0.003

0.003

0.002

−0.004

 Item 4

0.000

0.000

−0.003

−0.003

 Item 5

−0.004

−0.005

0.000

−0.009

  1. Italised DIF parameter estimates are significant at 5 %