ISBN
| 9780429325021 |
DDC
| 307.116 |
Tác giả CN
| Ewing, Reid H. |
Nhan đề
| Basic quantitative research methods for urban planners / Reid H Ewing; Keunhyun Park |
Thông tin xuất bản
| New York, NY ; Abingdon, Oxon : Routledge, 2020 |
Mô tả vật lý
| xiii, 327 pages |
Tóm tắt
| In most planning practice and research, planners work with quantitative data. By summarizing, analyzing, and presenting data, planners create stories and narratives that explain various planning issues. Particularly, in the era of big data and data mining, there is a stronger demand in planning practice and research to increase capacity for data-driven storytelling. Basic Quantitative Research Methods for Urban Planners provides readers with comprehensive knowledge and hands-on techniques for a variety of quantitative research studies, from descriptive statistics to commonly used inferential statistics. It covers statistical methods from chi-square through logistic regression and also quasi-experimental studies. At the same time, the book provides fundamental knowledge about research in general, such as planning data sources and uses, conceptual frameworks, and technical writing. The book presents relatively complex material in the simplest and clearest way possible, and through the use of real world planning examples, makes the theoretical and abstract content of each chapter as tangible as possible. It will be invaluable to students and novice researchers from planning programs, intermediate researchers who want to branch out methodologically, practicing planners who need to conduct basic analyses with planning data, and anyone who consumes the research of others and needs to judge its validity and reliability |
Thuật ngữ chủ đề
| City planning |
Thuật ngữ chủ đề
| Quantitative research -- Methodology |
Thuật ngữ chủ đề
| Recherche quantitative -- Méthodologie |
Tác giả(bs) CN
| Park, Keunhyun |
Địa chỉ
| Thư Viện Đại học Nguyễn Tất Thành |
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245 | |aBasic quantitative research methods for urban planners / |cReid H Ewing; Keunhyun Park |
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260 | |aNew York, NY ; Abingdon, Oxon : |bRoutledge, |c2020 |
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300 | |axiii, 327 pages |
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520 | |aIn most planning practice and research, planners work with quantitative data. By summarizing, analyzing, and presenting data, planners create stories and narratives that explain various planning issues. Particularly, in the era of big data and data mining, there is a stronger demand in planning practice and research to increase capacity for data-driven storytelling. Basic Quantitative Research Methods for Urban Planners provides readers with comprehensive knowledge and hands-on techniques for a variety of quantitative research studies, from descriptive statistics to commonly used inferential statistics. It covers statistical methods from chi-square through logistic regression and also quasi-experimental studies. At the same time, the book provides fundamental knowledge about research in general, such as planning data sources and uses, conceptual frameworks, and technical writing. The book presents relatively complex material in the simplest and clearest way possible, and through the use of real world planning examples, makes the theoretical and abstract content of each chapter as tangible as possible. It will be invaluable to students and novice researchers from planning programs, intermediate researchers who want to branch out methodologically, practicing planners who need to conduct basic analyses with planning data, and anyone who consumes the research of others and needs to judge its validity and reliability |
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541 | |aMua |
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650 | |aCity planning |
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650 | |aQuantitative research -- Methodology |
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650 | |aRecherche quantitative -- Méthodologie |
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654 | |aResearch Methods |
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692 | |aPhương pháp nghiên cứu khoa học |
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700 | |aPark, Keunhyun |
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852 | |aThư Viện Đại học Nguyễn Tất Thành |
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