BACKGROUND Various studies have shown that caregiving relatives of schizophrenic patients are at risk of suffering from depression. These studies differ with respect to the applied statistical methods, which could influence the findings. Therefore, the present study analyzes to which extent different methods may cause differing results. METHODS The present study contrasts by means of one data...

Electronic commerce (e-commerce) has become a rapidly growing phenomenon to date. A peep into the exponential growth of main players in this industry reveals large reservoir market potential for ecommerce. Nevertheless, prevalence e-commerce adoption attracted attention from government, retailers, and academicians place specific focus on area. As such, study determined correlation between Chief...

The relationship between variables in structural equation modeling (SEM) forms a model. This model can be explained through equations, such as regression analysis. describes the prediction of latent (exogenous) independent variable on (endogenous) dependent variable. Researchers who use analysis with models need to know whether built empirical data has unique value or not so that estimated. If ...

In literature, adoption and continuance of an innovation have been considered as discrete events and discussed in separate models. This study argues that these are interrelated and continuous processes. The objective of this study is to investigate the adoption and continuance behaviour of a technological innovation in a single framework taking Radio Frequency Identification (RFID) as the conte...

This article discusses a modelling framework that links two well-known statistical methods: structural equation modelling (SEM) and latent class or finite mixture modelling. This hybrid approach was proposed independently by Arminger and Stein [1], Dolan and Van der Maas [4], and Jedidi, Jagpal and DeSarbo [5]. Here, we refer to this approach as mixture SEM or latent class SEM. There are two di...