Error Analysis in Using Passive Voice

using passive voice and aspect in complement clauses in persian for arabic-and chinese-speaking learners

in recent decades, research on the processing of grammatical structures in different languages has played a crucial role in psychological and linguistic studies. the present research aims to examine the extent to which arabic- and chinese-speaking learners apply passive voice and aspect in complement clauses in their pieces of writing. to that end, syntactic and pragmatic criteria of applying a...

From Passive to Active Voice:

Researchers often find themselves in a position of “acting for” or “in the name of” individuals and communities whose voices have traditionally been muted or silenced. The passive nature of these muted or silenced voices prevents them from being heard, fully understood or appreciated. As true voices of participants emerge in research, so does a more representative view of individuals’ or commun...

Passive Voice in Narratives Describing Domestic Violence

Research on Three Error Types of Chinese Esl Learners’ Acquisition of Passive Voice

This thesis aims to probe into the relationship between language transfer and the three error types of Chinese ESL learners’ acquisition of passive voice. On the basis of analysis of the result of a self-designed test, I come to a conclusion that under-passivization is the main characteristic of Chinese learner’s passive acquisition and negative transfer has a strong effect on Chinese learners’...

An application of Measurement error evaluation using latent class analysis

‎Latent class analysis (LCA) is a method of evaluating non sampling errors‎, ‎especially measurement error in categorical data‎. ‎Biemer (2011) introduced four latent class modeling approaches‎: ‎probability model parameterization‎, ‎log linear model‎, ‎modified path model‎, ‎and graphical model using path diagrams‎. ‎These models are interchangeable‎. ‎Latent class probability models express l...