Bücher der Reihe Ethnographer's Toolkit, Second Edition

Book 2 explores in depth the many critical issues that ethnographic researchers need to consider before going to the field and in the earliest stages of the field experience.

This collection of individually authored chapters provides cutting-edge approaches to ethnography. Specialized Ethnographic Methods: A Mixed Methods Approach complements the basic inventory of ethnographic data collection tools presented in Book 3 with a number of important additional approaches to conducting ethnography. These include defining and collecting cultural artifacts, collecting secondary and archival data, cultural sorting and comparing methods, spatial research and analysis, network research and analysis, use of multimedia strategies for the collection of ethnographic data, ways to recruit and study "hidden populations," and participatory ethnographic video production.

Ethics in Ethnography (Book 6 in the Ethnographer's Toolkit series) explores the burgeoning field of research ethics and addresses how ethical considerations-formally-imposed as well as informal, "everyday" concerns-underpin good ethnographic research.

In this capstone title to the Ethnographer's Toolkit series, Jean J. Schensul and Margaret D. LeCompte explore how ethnographic research intersects with and enhances numerous areas of applied and practice-oriented social science.

This first volume of the Ethnographer's Toolkit provides a practical, straightforward introduction to ethnography and ethnographic practice to the student and novice fieldworker.

Analysis and Interpretation of Ethnographic Data: A Mixed Methods Approach,Second Edition, is a comprehensive treatment of analysis strategies used inethnographic research, addressing the "crunching" and manipulation of bothqualitative and quantitative ethnographic data.

Essential Ethnographic Methods introduces the fundamental, face-to-face data collection tools for ethnographers and other qualitative researchers and provides detailed instruction to improve the quality and scope of data collection. .