Full Description
This method involves research participants listing what they know or think about the researcher's topic. This book incorporates free-list analyses with other analytical methods and demonstrates their broad applicability. The book starts with descriptive methods, then outlines a predictive statistical framework. The author explains how to collect, clean, and manage free-list data and how to use R to calculate and visualize them.
Contents
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
