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Case study strategies for architects and designers : integrative data research methods / Marja Sarvimaki

By: Material type: TextTextPublication details: London, United Kingdom : Taylor & Francis, c2018Description: xiv, 180 pages ; 23 cmISBN:
  • 9781138899674
Subject(s): LOC classification:
  • NA 2750 .S27 2018
Contents:
Chapter 1. The Interdisciplinary realm -- Chapter 2. Quantitative vs. Qualitative strategies -- Chapter 3. Integrative data evaluation -- Chapter 4. Epilogue -- List of Figures.
Summary: Case Study Strategies for Architects and Designers explains methods in evidence-based design, also called practice-based research, to show you the value of research to your designs. Topics covered pertain to data collection and analysis techniques, including surveys, interviews, fieldwork, participatory design, occupancy evaluations, and memory sketching. Integrative data evaluation, theoretical sampling, triangulation, pattern matching logic, and analytical generalization are also discussed. Global research precedents, exercises, further reading, section summaries, sidebars, more than 30 black and white images and tables will help you conduct empirical inquiries in real-life contexts.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Architecture General Circulation COA General GC NA 2750 .S27 2018 (Browse shelf(Opens below)) c.1 Available NULIB000018414

Includes bibliographical references and index.

Chapter 1. The Interdisciplinary realm -- Chapter 2. Quantitative vs. Qualitative strategies -- Chapter 3. Integrative data evaluation -- Chapter 4. Epilogue -- List of Figures.

Case Study Strategies for Architects and Designers explains methods in evidence-based design, also called practice-based research, to show you the value of research to your designs. Topics covered pertain to data collection and analysis techniques, including surveys, interviews, fieldwork, participatory design, occupancy evaluations, and memory sketching. Integrative data evaluation, theoretical sampling, triangulation, pattern matching logic, and analytical generalization are also discussed. Global research precedents, exercises, further reading, section summaries, sidebars, more than 30 black and white images and tables will help you conduct empirical inquiries in real-life contexts.

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