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2018 | OriginalPaper | Chapter

3. Designing Research

Authors : David Shipworth, Gesche M. Huebner

Published in: Exploring Occupant Behavior in Buildings

Publisher: Springer International Publishing

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Abstract

The aim of this chapter is to set out a process that researchers can follow to design a robust quantitative research study of occupant behavior in buildings. Central to this approach is an emphasis on intellectual clarity around what is being measured and why. To help achieve this clarity, researchers are encouraged to literally draw these relationships out in the form of a concept map capturing the theoretical model of the cause and effect between occupant motivations and energy use. Having captured diagrammatically how the system is thought to work, the next step is to formulate research questions or hypotheses capturing the relationship between variables in the theoretical model, and to start to augment the diagram with the measurands (things that can actually be measured) that are good proxies for each concept. Once these are identified, the diagram can be further augmented with one or more methods of measuring each measurand. The chapter argues that it is necessary to carefully define concepts and their presumed relationships, and to clearly state research questions and identify what the researcher intends to measure before starting data collection. The chapter also explains the ideas of reliability, validity, and uncertainty, and why knowledge about them is essential for any researcher.

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Footnotes
1
There are some methods of analysis that some analysts argue can establish causation outside of an experimental context. Lead amongst these is Judea Pearl and his application of statistical graphical modeling methods such as Bayesian networks (Pearl 2000). This is both a highly advanced field of statistical analysis, and a hotly contested topic that is beyond the scope of this book.
 
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Metadata
Title
Designing Research
Authors
David Shipworth
Gesche M. Huebner
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-61464-9_3