Research Design and Technical Writing for AECO Application
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This document outlines a research design process for architecture, engineering, construction, and operations management applications. It recommends using a mixed methods design to holistically explore research problems from multiple perspectives. The process involves first drafting a problem statement and collecting quantitative data. Qualitative data is then collected to develop the problem space and hypothesis. The data sets are aligned within the problem space to create a final hypothesis. Technical writing standards are provided for presenting the research in an objective, third-person style with appropriate sections.
Research Design and Technical Writing for AECO Application
- 1. 息 Bearttins / 2015 / All Rights Reserved Built Environment Advanced Research, Theories and Technologies Institute RESEARCH DESIGN + TECHNICAL WRITING FOR AECO APPLICATION
- 2. 息 Bearttins / 2015 / All Rights Reserved / 1 RESEARCH DESIGN When identifying a problem for research in Architecture, Engineering, Construction, or Operations Management (AECO) a Mixed Methods Design (MMD) should be implemented as it allows for holistic exploration of the subject from multiple perspectives. MMD is both quantitative and qualitative, using the integration of data sets and observations to e鍖ectively: Interpret, organize or categorize, and explain information. Develop and test new instruments or tools. Complement strengths, and overcome weaknesses, in both problem and solution spaces.
- 3. 息 Bearttins / 2015 / All Rights Reserved / 2 RESEARCH DESIGN - APPROACH identify data need (s) STEP 1 - QUANTITATIVE (QUAN) DATA SET identify data source (s) identify data collection tool (s) 1.a DRAFT PROBLEM STATEMENT
- 4. 息 Bearttins / 2015 / All Rights Reserved / 3 RESEARCH DESIGN - APPROACH develop data collection tool (s) implement tool (s) / collect data organize / categorize data 1.b FINE TUNE PROBLEM STATEMENT STEP 1 - QUAN (continued)
- 5. 息 Bearttins / 2015 / All Rights Reserved / 4 RESEARCH DESIGN - APPROACH project data collected onto research problem space STEP 2 - QUALITATIVE (QUAL) DATA SET organize research solution space 2.b DRAFT HYPOTHESIS 2.a DRAFT THE PROBLEM SPACE
- 6. 息 Bearttins / 2015 / All Rights Reserved / 5 RESEARCH DESIGN - APPROACH STEP 3 - ITERATION (QUAN + QUAL) An Iteration may or may not be a requirement, but it can be implemented to either one or both data sets, to improve the clarity of the Problem Statement, the quality of the Problem Space, and the accuracy of the Hypothesis; an iteration works as a Leaning Tool that can e鍖ectively: Eliminate waste, or unnecessary, data. Eliminate de鍖ciencies in data collection tools and process. Mitigate de鍖ciencies in the problem space, therefore reduce de鍖ciencies in the solution space.
- 7. 息 Bearttins / 2015 / All Rights Reserved / 6 RESEARCH DESIGN - APPROACH STEP 4 - ALIGNMENT ALIGN BOTH DATA SETS WITHIN PROBLEM SPACE TO CREATE FINAL HYPOTHESIS
- 8. 息 Bearttins / 2015 / All Rights Reserved / 7 TECHNICAL WRITING Stay clear, concise, and precise with your content. Present, clearly, both QUAN and QUAL data sets. Present, clearly, both problem and solution spaces. Stay impersonal, and always objective. Use complete sentences, and appropriate terminology. Always use citations, when citations are required. STEP 5 - PRESENTING THE RESEARCH
- 9. 息 Bearttins / 2015 / All Rights Reserved / 8 TECHNICAL WRITING Must never be written in 鍖rst person; must be written in third person and remain consistent. Must be written in present tense, and must remain consistent; only use past or future tenses when necessary. Must incorporate both text and graphics. Must include both a cover page and a references page, in addition to the following sections at minimum : Abstract, Data Sets, Exploration, and Hypothesis. STEP 5 - PRESENTING THE RESEARCH
- 10. 息 Bearttins / 2015 / All Rights Reserved / 9 IN SUMMARY, When conducting research for AECO use Mixed Methods Design. Draft your Problem Statement. Create your QUANtitative Data Set. Fine tune your Problem Statement. Draft your Problem Space, and a Hypothesis. Project your QUAN into your QUALitative Data Set. Implement Iteration, when necessary or required. Align Data Sets Within Problem Space to Create Final Hypothesis. Use Technical Writing to present your Research.
- 11. 息 Bearttins / 2015 / All Rights Reserved Built Environment Advanced Research, Theories and Technologies Institute Colorado, USA THANK YOU.