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