A Methodology for Design Research:

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1 A Methodology for Design Research: Module 19: Comprehensive DS-I Centre for Product Design and Manufacturing Indian Institute of Science, Bangalore, India Teaching Course, NPTEL 2013 Amaresh Chakrabarti 1

2 Resources used in this course The course is based on the DRM framework developed by Amaresh Chakrabarti, author of this course, jointly with Lucienne Blessing and Ken Wallace. Where not specifically cited, the main reference material used is the following book (highlighted in red) and papers (in red): Blessing, LTM, Chakrabarti, A. DRM A Design Research Methodology, Springer-Verlag, London, 2009 Harivardhini, S., and Chakrabarti, A.: Expanding DRM Framework to Formulate Supreme Causal Models from Research Articles in the Area of Product Disassembly. Chakrabarti, A. (Ed.) ICoRD15: Research into Design Across Boundaries Volume 1, Smart Innovation, Systems and Technologies Series Vol. 34, Springer-Verlag, India, ISBN , pp , 2015 Chakrabarti, A. and Blessing, L.T.M. (Editors): An Anthology of Theories and Models of Design: Philosophy, Approaches and Empirical Explorations, Springer-Verlag, London, UK, ISBN: , 2014 Chakrabarti, A. Towards a Taxonomy of Design Research Areas, Herbert Birkhofer (Editor), The Future of Design Methodology, Springer, pp , ISBN , 2011 Chakrabarti, A. A Course for Teaching DRM - A Methodology for Design Research, Special Issue on Design Pedagogy: Representations and Processes, Dan Frey, Bill Birmingham and Clive Dym (Eds.), AI EDAM Vol.24, No.3, , 2010 Chakrabarti, A. A Postgraduate Course on DRM A Methodology for Design Research, in Proceedings of the Indo-US Workshop on Design Engineering, Chakrabarti and Subrahmanian (Eds.), Allied Publishing, Bangalore, 2008 Blessing, L.T.M., and Chakrabarti, A. DRM: A Design Research Methodology, in International Conference on The Science of Design - The Scientific Challenge for the 21st Century, INSA, Lyon, France, 15-16, 2002 Blessing, L.T.M., Chakrabarti A. and Wallace, K.M. An Overview of Design Studies in Relation to a Design Research Methodology, Designers: the Key to Successful Product Development, E. Frankenberger, P. Badke-Schaub and H. Birkhofer (Eds.), Springer-Verlag, 1998 Blessing, L.T.M, Chakrabarti, A., and Wallace, K.M. A Design Research Methodology, Proc. of the Intl Conf. in Engineering Design, Prague, Vol.1, pp50-55, 1995 Blessing, L.T.M., Chakrabarti, A., and Wallace, K.M. Some Issues in Engineering Design Research, Open University / S.E.R.C. Design Methods Workshop, The Open University, UK, 18 November 1992 Other reference materials used (where specifically cited but not given full reference): AIAA (1998) Guide for the verification and validation of computational fluid dynamics simulations. American Institute of Aeronautics and Astronautics AIAA G Frankfort-Nachmias C, Nachmias D (1996) Research methods in the social sciences, 5th edn. St. Martin Press, Inc., London Denzin NK (1978) The research act: a theoretical introduction to sociological methods, 2 nd edn. McGraw-Hill, New York Cook TD, Campbell DT (1979) Quasi-experimentation: design and analysis issues for field settings. Houghton Mifflin Company, Boston Cuba L (1993) A short Guide to Writing about Social Science, 2nd edn. Harper Collings College Publishers, New York, U.S.A. N.N. (1977) Linus Pauling: crusading scientist, transcript of broadcast of NOVA, nr. 417, J. Angier, executive producer. In. WGBH-TV, Boston Pahl G, Beitz W (2007) Engineering design: A systematic approach, 3rd edn. Springer Rossi PH, Freeman HE, Lipsey MW (1999) Evaluation, a systematic approach, 6th edn. Sage Publications, Thousand Oaks Yin RK (1994) Case study research. Sage, London Ashby M (2005) How to write a paper. www-mech.eng.cam.ac.uk/mmd/ashby-paper-v6.pdf. Accessed 14 December 2008 Kelle U (1997) Theory building in qualitative research and computer programs for themanagement of textual data. Social Research Online 2:17 Miles MB, Huberman AM (1984) Qualitative data analysis: a sourcebook of new methods. Sage, Beverly Hills Checkland P (1981) Systems thinking, systems practice. Wiley, Chichester Ericsson KA, Simon HA (1996) Protocol analysis: verbal reports as data, 2nd edn. The MIT Press, Cambridge MA IEEE (1998) IEEE Std : Standard for software verification and validation. Institute of Electrical and Electronics Engineers Orne MT (1962) On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications. American Psychologist 17: Patton MQ (1987) How to use qualitative methods in evaluation. Sage Publications, London Patton MQ (1990) Qualitative evaluation and research methods, 2nd edition, Sage Publications, Newbury Park CA Patton MQ (2002) Qualitative research and Evaluation methods, 3rd edition, Sage Publications Inc., Thousand Oaks, CA 2

3 Course Blocks Block Topic Lecture 1. Introduction to design and design research: What and Why; Major facets of design and design research, Current issues with design research and the need for a design research methodology Modules Introduction to DRM - a design research methodology - its main components, and examples to explain the components, Types of design research 3. Starting design research: Clarification of requirements: Identifying research topics, carrying out literature search, consolidating the topic into research questions and hypotheses, determining type of research to be persuaded and developing a research plan 4. Types of descriptive study; Processes for carrying out descriptive studies for developing an understanding a facet of design and its influences; Introduction to associated descriptive study realtime and retrospective research methods for data collection such as protocol analysis, questionnaire surveys, interviews etc; Introduction to quantitative and qualitative data analysis methods Types of prescriptive study; Processes for developing design support and associated prescriptive study research methods 6. Types of support evaluation; Processes for evaluating a design support, and associated Evaluation study research methods 7. Types and structures of research documentation; Approaches and guidelines for documenting and reporting research process and outcomes TOTAL

4 Module 19 Schools of thought: Qualitative vs Quantitative, Main steps in Comprehensive DS-I 4

5 Quantitative or Qualitative Differences between qualitative and quantitative research can be based on type of questions addressed type of data collected analysis methods used whole research approach Frankfort-Nachmias and Nachmias (1996), Kelle (1997) etc. associate quantitative research to theory-driven approach qualitative research to data-driven approach Quantitative research uses deduction by deriving hypotheses from theory and analysing the data they collect to statistically test the hypotheses (Frankfort-Nachmias & Nachmias 1996) 5

6 Qualitative or Quantitative Qualitative field research moves using a process called analytic induction: collect data, formulate hypotheses based on data, test hypotheses using data and attempt to develop theory. This theory is called Grounded Theory. (Frankfort-Nachmias & Nachmias 1996) Scientists must gain an empathic understanding of societal phenomena, and they must recognise both the historical dimension of human behaviour and the subjective aspects of the human experience (Frankfort-Nachmias and Nachmias 1996) Though others do not explicitly associate quantitative and qualitative research to the approaches, the methods proposed by them are either theory- or data-driven 6

7 Quantitative approach Applied to understand or quantify the degree to which phenomena occur Methods used: experiments, observations Methods are generally well formulated, mainly based on statistics Quantitative research produces kinds of data similar to physical Sciences/engg. Quantitative data in design research: e.g. design time, number of requirements, number of subassemblies in a product, percentage of time in evaluation, etc. 7

8 Qualitative approach Applied to investigate the nature of phenomena Methods used: interviews, observation, written documents, diaries, etc. Researchers try to provide rich descriptions, growing understanding etc. indicate how qualitative research process and ways of data-handling differ from those in quantitative research 8

9 Qualitative approach Qualitative Research: theoretical knowledge not a fully coherent network of explicit propositions from which precisely formulated and empirically testable statements can be deduced (Kelle, 1997) But a loosely connected heuristic framework of concepts which helps focus attention on certain phenomena in the empirical field (Kelle, 1997) Qualitative data in design research: sketches, arguments and decisions, gestures, designer opinions, etc. Both qualitative and quantitative approaches are being combined to obtain a full picture of the object of study 9

10 Everything that can be counted does not necessarily count; everything that counts cannot necessarily be counted. Albert Einstein 10

11 Types of DS-I Two types: Review-based DS-I: Detailed review of literature in the area of research and other potentially relevant areas (see ARC diagram) Used in Steps 1 and 5 in the DS-I process (see later) Comprehensive DS-I: Literature review AND empirical studies Empirical studies if literautre review reveals poor understanding of the topic, or relevant links in Initial RM or IM 11

12 Main steps in Comprehensive DS-I Survey literature* Decide research focus Develop research plan for DS-I Carry out empirical study Make overall conclusions* Stars (*) indicate the steps used only in Review-based DS-I 12

13 Main steps in Comprehensive DS-I 1. Survey literature (also for Review-based DS-I): a. Assess existing level of understanding b. based on this, adapt Initial RM, and Initial Impact Model if needed 2. Decide research focus: a. identify and define factors and links of interest b. extend and refine initial research questions and hypotheses 1. Develop research plan for DS-I: a. Select, develop research methods b. combine into one or more studies c. develop material and infrastructure to be used in the studies d. Carry out pilot study e. adjust research plan, methods and material based on results from pilot study 13

14 Main steps in Comprehensive DS-I 4. Carry out empirical study: a. collect data b. process data c. analyze data d. verify results and make conclusions e. Use results to update RM f. Use results to plan further empirical studies if necessary 5. Make overall conclusions (also for Review-based DS-I): a. combine results of the various studies conducted b. complete RM c. update Initial IM d. Suggest possible directions for support e. Decide on next stage (continue DS-I, go to PS or revisit RC) or future work 14

15 Main steps in Comprehensive DS-I May involve many iterations (cycles): with every study, understanding changes may lead to other empirical studies or literature surveys In each cycle one or more methods can be used can change in each cycle based on the research questions and hypotheses worked on 15

16 Main steps in Comprehensive DS-I A DS-I may start with a survey of a large number of subjects to identify the main influences on the topic of interest Then to interview key players for detail about these factors OR Starts with interviews to develop a detailed understanding of the topic of interest in the contexts represented by the interviewees then carry out a survey to verify whether the findings are true for other contexts Research questions rather than hypotheses may be basis for this stage When the area under investigation is relatively less investigated 16

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