Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multiple Comparison Tests01:13

Multiple Comparison Tests

3.4K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.4K
Persuasion Strategies01:52

Persuasion Strategies

29.8K
Researchers have tested many persuasion strategies, including the foot-in-the door and the door-in-the-face techniques, in a variety of contexts. Ultimately, the principles are effective in selling products and changing people’s attitude, ideas, and behaviors (Cialdini & Goldstein, 2004).
29.8K
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

623
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
623
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

594
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
594
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

2.9K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
2.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Discounting shortfall, increasing barriers: pragmatic objections to discounting shortfall in NICE's severity modifier.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2026
Same author

Patient Preferences for Treatment in Relapsed/Refractory Acute Leukemia: A Multinational Discrete Choice Experiment.

Patient preference and adherence·2026
Same author

Forced resilience: Indigenous perspectives on systemic barriers and humanizing genomic medicine in British Columbia, Canada.

Genetics in medicine : official journal of the American College of Medical Genetics·2026
Same author

Advancing the science of qualitative patient preference assessment using large language models.

PLOS digital health·2026
Same author

Care preferences for persons with cognitive impairment: A discrete choice experiment.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Understanding Societal Preferences for Priority by Disease Severity in England and Wales.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2026

Related Experiment Video

Updated: Apr 26, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.1K

Constant-sum paired comparisons for eliciting stated preferences: a tutorial.

Chris Skedgel1, Dean A Regier

  • 1Maritime Strategy for Patient-Oriented Research Support Unit, Capital Health, Halifax, NS, Canada, chris.skedgel@cdha.nshealth.ca.

The Patient
|July 21, 2014
PubMed
Summary
This summary is machine-generated.

Constant-sum paired comparison (CSPC) is a method for measuring public preferences and values in decision-making. This tutorial explains how to use CSPC to understand resource allocation priorities, especially in healthcare.

More Related Videos

A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.6K
Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

15.1K

Related Experiment Videos

Last Updated: Apr 26, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.1K
A Two-interval Forced-choice Task for Multisensory Comparisons
07:13

A Two-interval Forced-choice Task for Multisensory Comparisons

Published on: November 9, 2018

10.6K
Measuring Delay Discounting in Humans Using an Adjusting Amount Task
07:47

Measuring Delay Discounting in Humans Using an Adjusting Amount Task

Published on: January 9, 2016

15.1K

Area of Science:

  • Decision Science
  • Behavioral Economics
  • Health Economics

Background:

  • Societal decision-making increasingly requires incorporating public preferences and values.
  • Stated preference methods are crucial for eliciting these values.
  • Constant-sum paired comparison (CSPC) is a valuable tool for this purpose.

Purpose of the Study:

  • To provide a comprehensive tutorial on the Constant-sum paired comparison (CSPC) method.
  • To explain the theory and practical application of CSPC for measuring public preferences and values.
  • To demonstrate CSPC's utility in resource allocation decisions, particularly in healthcare.

Main Methods:

  • The tutorial outlines the theoretical underpinnings of CSPC.
  • It details the process of administering a CSPC elicitation.
  • Includes defining attributes and levels, experimental design, task presentation, and data analysis.

Main Results:

  • CSPC enables the measurement of preferences and values regarding resource distribution.
  • It explicitly links budget constraints, opportunity costs, and outcomes.
  • The method allows respondents to allocate resources to less preferred options, reflecting nuanced value judgments.

Conclusions:

  • CSPC is a robust method for eliciting public preferences and values in societal decision-making.
  • Its flexibility makes it particularly suitable for complex contexts like healthcare, where ethical considerations are paramount.
  • This tutorial serves as a guide for researchers and practitioners to effectively implement and interpret CSPC.