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Discrete choice experiments using R = a how-to guide for social and managerial sciences /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Discrete choice experiments using R/ by Liang Shang, Yanto Chandra.
Reminder of title:	a how-to guide for social and managerial sciences /
Author:	Shang, Liang.
other author:	Chandra, Yanto.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xvi, 203 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Choice (Psychology) - Research -
Online resource:	https://doi.org/10.1007/978-981-99-4562-7
ISBN:	9789819945627

Discrete choice experiments using R = a how-to guide for social and managerial sciences /
Shang, Liang.

Discrete choice experiments using Ra how-to guide for social and managerial sciences /[electronic resource] :by Liang Shang, Yanto Chandra. - Singapore :Springer Nature Singapore :2023. - xvi, 203 p. :ill., digital ;24 cm.

Chapter 1. An Overview of Stated Preference Methods: What and Why -- Chapter 2. A Comparison of Stated Preference Methods -- Chapter 3. Understanding the Fundamentals of DCE Experiment -- Chapter 4. A Review of R and its Applicability DCE -- Chapter 5. Framing the Research Question and Theory -- Chapter 6. Identifying DCE Attributes and Levels -- Chapter 7. Designing DCE Choice Set using R -- Chapter 8. Designing DCE Survey and Collecting Data -- Chapter 9. Analysing DCE Data using R -- Chapter 10. Visualizing and Reporting DCE Data 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.

ISBN: 9789819945627

Standard No.: 10.1007/978-981-99-4562-7doiSubjects--Topical Terms:

1429906
Choice (Psychology)
--Research

LC Class. No.: BF611.S53

Dewey Class. No.: 153.83

Discrete choice experiments using R = a how-to guide for social and managerial sciences /
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520 $a 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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