Testing Procedure for Item Response Probabilities of 2Class Latent Model

  • Bushra Shamshad Department of Statistics, University of Karachi, Karachi, Pakistan.
  • Junaid Sagheer Siddiqui Department of Statistics, University of Karachi, Karachi, Pakistan .

Abstract

This paper presents Hotelling T2 as a procedure for the testing of significance difference between the item response probabilities (ωijs) of classes in a Latent Class Model (LCM). Parametric bootstrap technique is used in order to generate samples for ωijs. These samples are based on the estimated parameters of 2-class latent model. The estimation of parameters in either situation is done using  the Expectation Maximization (EM) algorithm through Maximum likelihood method. The hypothesis under consideration is whether the response probabilities (ωijs)  are equal against each item in both the classes. { H0 : ωi1 = ωi2.   against H1 : =ωi1 ≠ ωi2}. If the test exhibits significant difference between response probabilities in both classes, it will be a clear indication of a presence of latent variable. We consider both training and testing data sets to develop the test. In order to apply Hotelling T2 test the basic assumptions of normality and homogeneity of variance are also checked. Chi-square goodness of fit test is used for assessing normal distribution to be good fitted on the hypothesized (bootstrap samples) based on 2-class latent model parameters for each data and Bartlett test to check heterogeneity of variances in ωijs. Moreover, our procedure produces a minimum standard error of estimates as compared to those obtained through the package in R.Gui environment

Published
Jul 1, 2020
How to Cite
SHAMSHAD, Bushra; SIDDIQUI, Junaid Sagheer. Testing Procedure for Item Response Probabilities of 2Class Latent Model. Mehran University Research Journal of Engineering and Technology, [S.l.], v. 39, n. 3, p. 657- 667, july 2020. ISSN 2413-7219. Available at: <https://publications.muet.edu.pk/index.php/muetrj/article/view/1708>. Date accessed: 05 july 2020. doi: http://dx.doi.org/10.22581/muet1982.2003.20.
Section
Articles
This is an open Access Article published by Mehran University of Engineering and Technolgy, Jamshoro under CCBY 4.0 International License