%0 Journal Article
%T Applying the LLTM for the determination of children¡¯s cognitive age-acceleration function
%A Klaus D. Kubinger
%A Christine Hohensinn
%A Stefana Holocher-Ertl
%A Nina Heuberger
%J Psychological Test and Assessment Modeling
%D 2011
%I Pabst Science Publishers
%X The paper uses Item Response Theory (IRT) for modeling and hypothesis testing children¡¯s cogni-tive age-acceleration function ¨C within calibration and standardization of some intelligence test. For this, basically Fischer¡¯s Linear logistic test model (LLTM; Fischer, 1973, 2005) is applied. How-ever, instead of originally decomposing the item difficulty parameters of the Rasch model into certain hypothesized elementary parameters, we now suggest to decompose the person parameter alike. That is, there is a decomposition into a testee¡¯s basic ability parameter and an age-leveled effect due to the developmental stage of the age-group in question. For convenience, we only inter-change testees and items in order to facilitate parameter estimation and model test ¨C of course, the Rasch model is totally symmetric as concerns testees and items. By doing so, all findings in the context of LLTM apply; in particular, pertinent program packages are at our disposal. In order to examine the suggested approach¡¯s feasibility, an empirical example is given. An Analogy test with eight items administered to more than 300 testees aged between 6 and 16, was analyzed. As a matter of fact, the logistic acceleration function proved to fit the data well and best.
%K Rasch model
%K LLTM
%K program package eRm
%K cognitive age-acceleration
%K Adaptive Intelligence Diagnosticum
%U http://www.psychologie-aktuell.com/fileadmin/download/ptam/2-2011_20110622/01_Kubinger.pdf