Statistical tests for differential test functioning in Rasch's model for speed tests

We consider a latent trait model developed by Rasch for the response time on a set of pure speed tests, which is based on the assumption that the test response times are approximately gamma distributed with known index parameters and scale parameters depending on subject ability and test difficulty parameters. In this chapter, the principle of Lagrange multiplier tests is used to evaluate differential test functioning and subgroup invariance of the test parameters. Two numerical illustrations are given.

[1]  J. Aitchison,et al.  Maximum-Likelihood Estimation of Parameters Subject to Restraints , 1958 .

[2]  J. Visser Lezen op AVI-niveau: de schaling, normering en validering van de nieuwe AVI-toetskaarten , 1997 .

[3]  T. Louis Finding the Observed Information Matrix When Using the EM Algorithm , 1982 .

[4]  Cees A. W. Glas,et al.  DETECTION OF DIFFERENTIAL ITEM FUNCTIONING USING LAGRANGE MULTIPLIER TESTS , 1996 .

[5]  Cees A. W. Glas,et al.  Testing the Rasch Model , 1995 .

[6]  David Thissen,et al.  Timed Testing: An Approach Using Item Response Theory , 1983 .

[7]  M. Denckla,et al.  Rapid ‘automatized’ naming (R.A.N.): Dyslexia differentiated from other learning disabilities , 1976, Neuropsychologia.

[8]  I. W. Molenaar,et al.  Rasch models: foundations, recent developments and applications , 1995 .

[9]  W. Meredith POISSON DISTRIBUTIONS OF ERROR IN MENTAL TEST THEORY , 1971 .

[10]  Calyampudi R. Rao Large sample tests of statistical hypotheses concerning several parameters with applications to problems of estimation , 1948, Mathematical Proceedings of the Cambridge Philosophical Society.

[11]  M. R. Novick,et al.  Statistical Theories of Mental Test Scores. , 1971 .

[12]  R. Kail,et al.  Processing speed, naming speed, and reading. , 1994 .

[13]  M. Jansen,et al.  The Rasch Model for Speed Tests and Some Extensions With Applications to Incomplete Designs , 1997 .

[14]  Cornelis A.W. Glas,et al.  Modification indices for the 2-PL and the nominal response model , 1999 .

[15]  F. Wood,et al.  Selective Predictive Value of Rapid Automatized Naming in Poor Readers , 1998, Journal of learning disabilities.

[16]  H. Gulliksen,et al.  The reliability of speeded tests. , 1950, Psychometrika.

[17]  Cornelis A.W. Glas,et al.  Differential Item Functioning Depending on General Covariates , 2001 .

[18]  M. Jansen,et al.  Rasch's model for reading speed with manifest explanatory variables , 1997 .

[19]  Georg Rasch,et al.  Probabilistic Models for Some Intelligence and Attainment Tests , 1981, The SAGE Encyclopedia of Research Design.

[20]  M. Wolf,et al.  Automaticity, retrieval processes, and reading: a longitudinal study in average and impaired readers. , 1986, Child development.

[21]  R. Joshi,et al.  Cross-language studies of learning to read and spell. Phonologic and orthographic processing , 1997 .

[22]  Anne Boomsma,et al.  Essays on Item Response Theory , 2000 .

[23]  M. Denckla,et al.  Rapid "automatized" naming of pictured objects, colors, letters and numbers by normal children. , 1974, Cortex; a journal devoted to the study of the nervous system and behavior.

[24]  Eric Maris,et al.  Additive and multiplicative models for gamma distributed random variables, and their application as psychometric models for response times , 1993 .