You are here

Disable VAT on Taiwan

Unfortunately, as of 1 January 2020 SAGE Ltd is no longer able to support sales of electronically supplied services to Taiwan customers that are not Taiwan VAT registered. We apologise for any inconvenience. For more information or to place a print-only order, please contact uk.customerservices@sagepub.co.uk.

Ethnographic Free-List Data
Share
Share
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.

 
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

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
The University of Texas at El Paso
Key features
  • Shows how the free-list method can reveal insights about human thought and culture.
  • While previously used only in certain areas of anthropology and psychology, the author demonstrates the methods' applicability to a broad social science audience.
  • Provides lots of examples, and is practical, providing tips and advice about workflow, how to handle
    missing data, the behavior of particular measures, and what to watch out for.

Sample Materials & Chapters

Purzycki_1e_01

Purzycki_1e_02


Sage College Publishing

You can purchase or sample this product on our Sage College Publishing site:

Go To College Site