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Designed for classroom use in a number of disciplines, this comprehensive introduction to cultural semiotics is also an easy-to-use reference for those who would like a better understanding of the topic. No other text provides this kind of practical framework for the classroom study of semiotics. Each of the 12 chapters is clearly written and self-contained.
Designed for classroom use in a number of disciplines, this comprehensive introduction to cultural semiotics is also an easy-to-use reference for those who would like a better understanding of the topic. No other text provides this kind of practical framework for the classroom study of semiotics. Each of the 12 chapters is clearly written and self-contained.
Systematic Methods for Analyzing Culture is a practical manual that provides step-by-step instruction for collecting and analyzing cultural data. This compact guide explains complex topics in straightforward and practical terms, via research examples, textual and visual software guides, and hands-on exercises. Through each chapter’s introductory examples, the manual illustrates how socially learned knowledge provides group members with shared understandings of the world, which allow for mutually intelligible interactions. The authors then carefully walk readers through the process of eliciting those socially learned, shared, and thus cultural representations of reality, which structure the thinking and practice of individuals inhabiting social groups. Specifically, the book shows how researchers can elicit such thought and behavior via methods such as free lists, pile sorts, cultural consensus and consonance analysis, textual analysis, and personal network research. The book will help both undergraduate and graduate students identify ways to unpack the "black box" of culture, which may be absent or given only cursory attention within their training and respective fields. The book’s clear and systematic step-by-step walkthroughs of each method will also encourage more established researchers, educators, and practitioners—from diverse fields and with varying levels of experience—to integrate techniques for assessing cultural processes into their research, teaching, and practice.
A book at the intersection of data science and media studies, presenting concepts and methods for computational analysis of cultural data. How can we see a billion images? What analytical methods can we bring to bear on the astonishing scale of digital culture--the billions of photographs shared on social media every day, the hundreds of millions of songs created by twenty million musicians on Soundcloud, the content of four billion Pinterest boards? In Cultural Analytics, Lev Manovich presents concepts and methods for computational analysis of cultural data. Drawing on more than a decade of research and projects from his own lab, Manovich offers a gentle, nontechnical introduction to the core ideas of data analytics and discusses the ways that our society uses data and algorithms.
With internationalization, the world is becoming smaller and the opportunity to meet people from other countries and cultures is becoming more common, providing the need for cooperation, shared knowledge, and cross-border trade. Individual cultures tend to understand themselves best and base their understanding of the world and its peoples on ideas they each have come to believe irrespective of reality, and thus make it difficult to reach a proper understanding of other cultures. This book considers intercultural understanding and co-action, partly by means of general insights into the concept of culture and the dimensions which bring about cultural differences, and partly as a methodology to analyze a certain culture - whether one's own or others'. This leads towards an understanding of cultural complexity and cultural differences among people. The book provides a discussion of a number of ethical issues, which almost invariably will arise when people meet and co-act across cultural boundaries. Cultural Analysis offers a theoretical/abstract proposal for cultural understanding, intercultural plurality, and complexity.
Intended to bridge the gap between the latest methodological developments and cross-cultural research, this interdisciplinary resource presents the latest strategies for analyzing cross-cultural data. Techniques are demonstrated through the use of applications that employ cross national data sets such as the latest European Social Survey. With an emphasis on the generalized latent variable approach, internationallyâe"prominent researchers from a variety of fields explain how the methods work, how to apply them, and how they relate to other methods presented in the book. Syntax and graphical and verbal explanations of the techniques are included. A website features some of the data sets and syntax commands used in the book. Applications from the behavioral and social sciences that use real data-sets demonstrate: The use of samples from 17 countries to validate the resistance to change scale across these nations How to test the cross-national invariance properties of social trust The interplay between social structure, religiosity, values, and social attitudes A comparison of anti-immigrant attitudes and patterns of religious orientations across European countries. The book is divided into techniques for analyzing cross-cultural data within the generalized-latent-variable approach: multiple-group confirmatory factor analysis and multiple-group structural equation modeling; multi-level analysis; latent class analysis; and item-response theory. Since researchers from various disciplines often use different methodological approaches, a consistent framework for describing and applying each method is used so as to cross âe~methodological bordersâe(tm) between disciplines. Some chapters describe the basic strategy and how it relates to other techniques presented in the book, others apply the techniques and address specific research questions, and a few combine the two. A table in the preface highlights for each chapter: a description of the contents, the statistical methods used, the goal(s) of the analysis, and the data set employed. This book is intended for researchers, practitioners, and advanced students interested in cross-cultural research. Because the applications span a variety of disciplines, the book will appeal to researchers and students in: psychology, political science, sociology, education, marketing and economics, geography, criminology, psychometrics, epidemiology, and public health, as well as those interested in methodology. It is also appropriate for an advanced methods course in cross-cultural analysis.
An international business expert helps you understand and navigate cultural differences in this insightful and practical guide, perfect for both your work and personal life. Americans precede anything negative with three nice comments; French, Dutch, Israelis, and Germans get straight to the point; Latin Americans and Asians are steeped in hierarchy; Scandinavians think the best boss is just one of the crowd. It's no surprise that when they try and talk to each other, chaos breaks out. In The Culture Map, INSEAD professor Erin Meyer is your guide through this subtle, sometimes treacherous terrain in which people from starkly different backgrounds are expected to work harmoniously together. She provides a field-tested model for decoding how cultural differences impact international business, and combines a smart analytical framework with practical, actionable advice.
In 1953 Margaret Mead and Rhoda Metraux produced The Study of Culture at a Distance, a compilation of research from this period. This work, long unavailable, presents a rich and complex methodology for the study of cultures through literature, film, informant interviews, focus groups, and projective techniques.
Traits that signal belonging dictate our daily routines, including how we eat, move, and connect to others. In recent years, "fat" has emerged as a shared anchor in defining who belongs and is valued versus who does not and is not. The stigma surrounding weight transcends many social, cultural, political, and economic divides. The concern over body image shapes not only how we see ourselves, but also how we talk, interact, and fit into our social networks, communities, and broader society. Fat in Four Cultures is a co-authored comparative ethnography that reveals the shared struggles and local distinctions of how people across the globe are coping with a bombardment of anti-fat messages. Highlighting important differences in how people experience "being fat," the cases in this book are based on fieldwork by five anthropologists working together simultaneously in four different sites across the globe: Japan, the United States, Paraguay, and Samoa. Through these cases, Fat in Four Cultures considers what insights can be gained through systematic, cross-cultural comparison. Written in an eye-opening and narrative-driven style, with clearly defined and consistently used key terms, this book effectively explores a series of fundamental questions about the present and future of fat and obesity.
This book is a practical guide to eoereadinge the culture of organizations and to understanding the implications of culture for organizational effectiveness.Beginning with an explanation of the theories of organizational culture, the book provides guidance on collecting information, leading students through qualitative research methods of observation, interviewing, and analyzing written texts. Students come away equipped to apply cultural insights to fostering diversity, supporting organizational change, making leadership more dynamic, understanding the link between ethics and culture, and achieving personal growth.