Literature DB >> 20188012

The application of the first order system transfer function for fitting the California Verbal Learning Test learning curve.

Igor I Stepanov1, Charles I Abramson, Oliver T Wolf, Antonio Convit.   

Abstract

Very few attempts have been made to apply a mathematical model to the learning curve in the California Verbal Learning Test list A immediate recall. Our rationale was to find out whether modeling of the learning curve can add additional information to the standard CVLT [corrected] measures. We applied a standard transfer function in the form Y = B3*exp(-B2*(X-1))+B4*(1-exp(-B2*(X-1))), where X is the trial number; Y is the number of recalled correct words, B2 is the learning rate, B3 is readiness to learn and B4 is ability to learn. The coefficients of the model were found to be independent measures not duplicating standard CVLT [corrected] measures. Regression analysis revealed that readiness to learn (B3) and ability to learn (B4) were significantly (p < .05) higher in a group of healthy participants than in a group of participants with type 2 diabetes mellitus (T2DM), but the learning rate (B2) did not differ (p > .2). The proposed model is appropriate for clinical application and as a guide for research and may be used as a good supplemental tool for the CVLT [corrected] and similar memory tests.

Entities:  

Mesh:

Year:  2010        PMID: 20188012     DOI: 10.1017/S1355617709991457

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  2 in total

1.  Overall Memory Impairment Identification with Mathematical Modeling of the CVLT-II Learning Curve in Multiple Sclerosis.

Authors:  Igor I Stepanov; Charles I Abramson; Marietta Hoogs; Ralph H B Benedict
Journal:  Mult Scler Int       Date:  2012-04-29

2.  Evaluating verbal learning and memory in patients with an at-risk mental state or first episode psychosis using structural equation modelling.

Authors:  Laura Egloff; Erich Studerus; Ronan Zimmermann; Ulrike Heitz; Stephanie Menghini-Müller; Sarah Ittig; Katharina Beck; Christina Andreou; Stefan Borgwardt; Anita Riecher-Rössler
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.