The process of collecting accurate data through interviewing, questionnaires, and other methods has not always been clear. However, data collection in field settings can be done in a structured, systematic and scientific way. These authors show us how. First, they focus on the importance of finding the right questions to ask. By providing a variety of formats – triadic comparisons and rating scales for data collection, both oral and written methods – and stressing cultural relativity, Weller and Romney suggest ways to improve not only the data collected, but also the interpretation and analysis of such data. Primarily addressed to qualitative social scientists, this volume is also appropriate for anyone who wants to study attitudes and beliefs. In particular, it is an ideal text for courses in anthropology, linguistics, qualitative research methods, health care, and survey research.
Tabella dei contenuti
Introduction to Structured Interviewing
Defining a Domain and Free Listing
Pile Sort I
Single Sorts
Pile Sort II
Successive Sorts and the Construction of Taxonomies and Trees
Triadic Comparisons
Rating Scales
Rank Order Methods
Complete and Partial Techniques
Balanced-Incomplete Block Designs
Sentence Frame Formats
Other Common Structured Formats
Dichotomous, Multiple Choice, Fill-in-the-Blank, Matching, Direct Estimation, and Pick N
Reliability, Consensus, and Sample Size
Validity and Replication with Variations
Circa l’autore
Professor Romney′s recent research has focused on human color vision ranging from cross-cultural studies of color perception to representing physical reflectance spectra in low dimensional Euclidean space (selected items available in pdf format below). Other research interests include comparative cognitive studies of semantic structures, the measurement of cultural knowledge using culture consensus theory, and multidimensional scaling. He was a Fellow at the Center for Advanced Study in the Behavioral Sciences in 1956-57. He is a Fellow of the American Academy of Arts and Sciences and a Member of the National Academy of Sciences.
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