TY - JOUR
AU - Shamshad, Bushra
AU - Siddiqui, Junaid Sagheer
PY - 2020
TI - Testing Procedure for Item Response Probabilities of 2Class Latent Model
JF - Mehran University Research Journal of Engineering and Technology; Vol 39 No 3 (2020): July Issue
DO - 10.22581/muet1982.2003.20
KW -
N2 - This paper presents Hotelling T 2 as a procedure for the testing of significance difference between the item response probabilities (ω ij ′ s) of classes in a Latent Class Model (LCM). Parametric bootstrap technique is used in order to generate samples for ω ij ′ s. 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 (ω ij ′ s) are equal against each item in both the classes. { H 0 : ω i1 = ω i2 . against H 1 : =ω i1 ≠ ω i2 }. 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 ω ij ′ s. Moreover, our procedure produces a minimum standard error of estimates as compared to those obtained through the package in R.Gui environment
UR - https://publications.muet.edu.pk/index.php/muetrj/article/view/1708