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Full Description
Advanced Quantitative Research Methods for Urban Planners provides fundamental knowledge and hands-on techniques about research, such as research topics and key journals in the planning field, advice for technical writing, and advanced quantitative methodologies.
This book aims to provide the reader with a comprehensive and detailed understanding of advanced quantitative methods and to provide guidance on technical writing. Complex material is presented in the simplest and clearest way possible using real-world planning examples and making the theoretical content of each chapter as tangible as possible. Hands-on techniques for a variety of quantitative research studies are covered to provide graduate students, university faculty, and professional researchers with useful guidance and references.
A companion to Basic Quantitative Research Methods for Urban Planners, Advanced Quantitative Research Methods for Urban Planners is an ideal read for researchers who want to branch out methodologically and for practicing planners who need to conduct advanced analyses with planning data.
Contents
Chapter 1: Introduction
Companion book: Basic Quantitative Research Methods for Urban Planners
Structure of the advanced methods book
Techniques not included in this book
Data and Measurements
Conceptual Framework
Statistics
Chapter Structure
Datasets
Computer Software Used In This Book
Chapter 2: Technical Writing
Overview
Purpose
Preliminaries
Mechanics
Rewriting, Editing, and Polishing
Literature Reviews
Planning Examples
Conclusion
Chapter 3: Planning Journals and Topics
Overview
Planning Journals
Impact Factors
Peer Review
Overview of Planning Topics
Methodological Issues
Climate Change and the Natural Environment
Social Justice Issues
Land-Use and Development Regulations
Sprawl, Travel, and the Built Environment
Urban Design
Other Topics
Conclusion
Chapter 4: Poisson and Negative Binomial Regression Analysis
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 5: Principal component and factor Analysis
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 6: Cluster Analysis
Overview
Purpose
History
Terminology
Methodology
Step by Step
Planning Examples
Conclusion
Chapter 7: Multilevel Modeling
Overview
Purpose
History
Mechanics
Step by Step
Planning Examples
Conclusion
Chapter 8: Structural Equation Modeling
Overview
Purpose
History
Mechanics
Interpreting Results
Step by Step
Planning Examples
Conclusion
Chapter 9: Spatial Econometrics
Overview
Purpose
Spatial Data
History
Mechanics
Step by Step 1: Spatial Data Analysis
Step by Step 2: Spatial Econometrics
Planning Examples
Conclusion
Chapter 10: Meta-Analysis and Meta-Regression
Overview
History
Purpose and Mechanics
Planning Examples
Chapter 11: Mixed Methods Research
Overview
Purpose
History
Mechanics
Planning Examples
Conclusion
List of contributors
Index
