Comparing DIF methods for data with dual dependency

Large-scale Assessments in Education

An IERI – International Educational Research Institute Journal

Table 1 DIF parameter estimates for USA and Finland data

	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