Discrete Choice Experiments Using R
Produktnummer:
188efccbf4907c41fe923868c85966e1b5
Autor: | Chandra, Yanto Shang, Liang |
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Themengebiete: | Data visualization using R Discrete choice experiment Experimental design Factorial design Maximum likelihood estimation Preference methods Random utility theory R programming Social science research Stated preference |
Veröffentlichungsdatum: | 26.08.2023 |
EAN: | 9789819945610 |
Sprache: | Englisch |
Seitenzahl: | 203 |
Produktart: | Gebunden |
Verlag: | Springer Singapore |
Untertitel: | A How-To Guide for Social and Managerial Sciences |
Produktinformationen "Discrete Choice Experiments Using R"
This book delivers a user guide reference for researchers seeking to build their capabilities in conducting discrete choice experiment (DCE). The book is born out of the observation of the growing popularity – but lack of understanding – of the techniques to investigate preferences. It acknowledges that these broader decision-making processes are often difficult, or sometimes, impossible to study using conventional methods. While DCE is more mature in certain fields, it is relatively new in disciplines within social and managerial sciences. This text addresses these gaps as the first ‘how-to’ handbook that discusses the design and application of DCE methodology using R for social and managerial science research. Whereas existing books on DCE are either research monographs or largely focused on technical aspects, this book offers a step-by-step application of DCE in R, underpinned by a theoretical discussion on the strengths and weaknesses of the DCE approach, with supporting examples of best practices. Relevant to a broad spectrum of emerging and established researchers who are interested in experimental research techniques, particularly those that pertain to the measurements of preferences and decision-making, it is also useful to policymakers, government officials, and NGOs working in social scientific spaces.

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