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Ethnographic Free-List Data: Management and Analysis With Examples in R [Minkštas viršelis]

  • Formatas: Paperback / softback, 200 pages, aukštis x plotis: 215x139 mm, weight: 290 g
  • Serija: Quantitative Applications in the Social Sciences
  • Išleidimo metai: 12-May-2025
  • Leidėjas: SAGE Publications Inc
  • ISBN-10: 1071918427
  • ISBN-13: 9781071918425
Kitos knygos pagal šią temą:
  • Formatas: Paperback / softback, 200 pages, aukštis x plotis: 215x139 mm, weight: 290 g
  • Serija: Quantitative Applications in the Social Sciences
  • Išleidimo metai: 12-May-2025
  • Leidėjas: SAGE Publications Inc
  • ISBN-10: 1071918427
  • ISBN-13: 9781071918425
Kitos knygos pagal šią temą:
Ethnographic Free-List DataManagement and Analysis With Examples in R details a method that involves research participants listing what they know or think about the researcher’s topic of interest. While researchers typically report these free-list analyses in isolation, this book incorporates them with other analytical methods and demonstrates how ethnographic free-lists can be useful to a broad social science audience. The first half of the book covers descriptive methods, and the second half incorporates insights from the early chapters into a predictive statistical framework. Author Benjamin Grant Purzycki explains how to collect, clean, and manage free-list data and how to use R to calculate and visualize the data.

Recenzijos

An innovative research methods book that provides a step-by-step guide to the popular R software. Researchers of any social scientific discipline will benefit tremendously from procedural knowledge in transforming conventionally qualitative data into quantitative reasoning. -- Kenneth C. C. Yang

Series Editor Introduction
Preface
Acknowledgments
About the Author
Chapter 1: Introduction
What Is a Free-List?
Why Free-List?
Getting to Work
Data Management
Chapter 2: Content Analysis
Background
Frequency Analysis
Salience Analysis
Salience Revisited
Further Methods in Content Analysis
Summary
Chapter 3: Structure Analysis
Examining Conceptual Relationships
Two Case Studies
Conceptual Networks
Further Methods in Structure Analysis
Chapter 4: Overlap and Sharedness
Conceptual Overlap Across Domains
Intragroup Sharing and Variation
Intergroup Sharing and Variation
Summary and Closing Note
Chapter 5: Models, Prediction, and Uncertainty
The Arithmetic Mean as a Model
Primer on Regression
Bayesian Regression
Chapter 6: Free-List Data in Regression
Thinking Through the System
Predicting List Lengths
Predicting Item Presence
Predicting Salience
Multilevel Models
Using Individual Free-Lists to Predict Behavior
Concluding Remarks
Chapter 7: Future Prospects
Culture, Text, and Content
Cognition, Culture, and Society
Culture Evolving
References
Index
Benjamin Grant Purzycki is Associate Professor at Aarhus Universitys Department of the Study of Religion. A cognitive and evolutionary anthropologist by training, he merges experimental and ethnographic methods together to make better sense of religious systems utility for human adaptation. He has conducted fieldwork in the Tyva Republic (Russia) and managed large cross-cultural projects. He co-developed AnthroTools (with Alastair Jamieson-Lane), a software package for analyzing ethnographic data in R and has published in a wide range of journals including Current Anthropology, Cognition, Cognitive Science, Nature, Proceedings of the Royal Society B, and Psychological Methods. His books include Religion Evolving: Cultural, Cognitive, and Ecological Dynamics (with Richard Sosis, Equinox), The Minds of Gods: New Horizons in the Naturalistic Study of Religion (with Theiss Bendixen, Bloomsbury), the two-volume Evolution of Religion and Morality project (with Martin Lang, Joseph Henrich, and Ara Norenzayan, Routledge), and Morality and the Gods (Cambridge University Press).