封面

概况

书讯类型

【书名】：The Art of Language

【作者】：John M. Levis et al. (eds.)

【年份】：2022年

【简介】：【团购资源】Dixon主编新作

This book contributes to opening up disciplinary knowledge and offering connections between different approaches to language in contemporary linguistics. Rather than focusing on a particular single methodology or theoretical assumption, the volume presents part of the wealth of linguistic knowledge as an intertwined project, which combines numerous practices, positionalities and perspectives. The editors believe¸ together with the contributors to this volume¸ that it is a crucial and timely task to emphasize the relevance of linguistic knowledge on power, hospitality, social class, marginalization, mobility, history, secrecy, the structures of discourse, and the construction of meaning, as knowledge that needs to be brought together – as it is brought together in personal discussions, conversations and encounters. To work along traces of linguistic connectivity, marginalized narratives, in and on lesser studied (often stigmatized) language practices and to shed light on the tasks of linguistics in making diverse knowledges transparent—this offers spaces for critical discussion on the ethics of linguistics, its challenges, contributions and tasks. These are the approaches that are characteristic for the work of Alexandra Y. Aikhenvald, to whom this book is dedicated.

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【书名】：Mokken Scale Analysis in Language Assessment

【作者】：Purya Baghaei

【年份】：2021年

【简介】：Mokken Scale Analysis collectively refers to a set of methods to examine the fit of data to two nonparametric Item Response Theory (IRT) models known as the Monotone Homogeneity Model (MHM) and the Double Monotonicity Model (DMM). As nonparametric IRT models, MHM and DMM are, compared to their parametric counterparts, easier to fit to the noisy data that social science researchers usually work with. Furthermore, the logic behind these models is a lot easier to grasp by researchers who do not have a strong background in algebra.

This book is an introductory treatment of the topic with examples from the field of language assessment and research. It describes the basics of MSA and includes step-by-step tutorials to help the readers run the analyses with the R package mokken. Furthermore, case studies are reported to illustrate the concepts introduced throughout the book. The book is comprehensive and reader-friendly and can be followed by most empirical researchers in the social sciences. It is suitable for all researchers and practitioners in the fields of behavioral and social sciences who are engaged in test and scale development. It is an easy-to-use manual that covers everything that you need to know to apply Mokken scaling confidently.

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