Academic literature on the topic 'Raked weighting'
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Journal articles on the topic "Raked weighting"
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Dal Grande, Eleonora, Catherine R. Chittleborough, Stefano Campostrini, Graeme Tucker, and Anne W. Taylor. "Health Estimates Using Survey Raked-Weighting Techniques in an Australian Population Health Surveillance System." American Journal of Epidemiology 182, no. 6 (August 24, 2015): 544–56. http://dx.doi.org/10.1093/aje/kwv080.
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Lewkowski, Kate, Jane S. Heyworth, Ian W. Li, Warwick Williams, Kahlia McCausland, Corie Gray, Elinor Ytterstad, et al. "Exposure to noise and ototoxic chemicals in the Australian workforce." Occupational and Environmental Medicine 76, no. 5 (January 25, 2019): 341–48. http://dx.doi.org/10.1136/oemed-2018-105471.
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ObjectiveTo determine the current prevalence of exposure to workplace noise and ototoxic chemicals, including co-exposures.MethodA cross-sectional telephone survey of nearly 5000 Australian workers was conducted using the web-based application, OccIDEAS. Participants were asked about workplace tasks they performed and predefined algorithms automatically assessed worker’s likelihood of exposure to 10 known ototoxic chemicals as well as estimated their full shift noise exposure level (LAeq,8h) of their most recent working day. Results were extrapolated to represent the Australian working population using a raked weighting technique.ResultsIn the Australian workforce, 19.5% of men and 2.8% of women exceeded the recommended full shift noise limit of 85 dBA during their last working day. Men were more likely to be exposed to noise if they were younger, had trade qualifications and did not live in a major city. Men were more likely exposed to workplace ototoxic chemicals (57.3%) than women (25.3%). Over 80% of workers who exceeded the full shift noise limit were also exposed to at least one ototoxic chemical in their workplace.ConclusionThe results demonstrate that exposures to hazardous noise and ototoxic chemicals are widespread in Australian workplaces and co-exposure is common. Occupational exposure occurs predominantly for men and could explain some of the discrepancies in hearing loss prevalence between genders.
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Jones, Barbara, I. Ching Tsai, Yu-Mei Chang, and Jeffrey Bewley. "Weighting the relative importance of behaviors affecting gait score." Journal of Dairy Research 89, no. 1 (February 2022): 57–59. http://dx.doi.org/10.1017/s0022029922000206.
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AbstractThis research communication evaluates experts’ opinions on the importance and weights of six gait aspects. In 2016, a Qualtrics (Qualtrics LLC., Provo, Utah) survey was distributed to lameness experts. Six gait aspects – general symmetry, tracking, spine curvature, head bobbing, speed and abduction as well as adduction were included. Respondents were asked to rank the gait aspects from 1 (most important) to 6 (least important), and to indicate which weight each gait aspect should receive when assessing lameness. For each gait aspect, frequency (percentage %) was used to describe the distribution of rank, and medians as well as 25th and 75th percentiles were used to summarize assigned weights. Thirty-nine percent of respondents ranked general symmetry first, followed by 32% for tracking, and 19% ranked spine curvature third. Head bobbing ranked fourth with 10% whereas, speed, abduction and adduction were not ranked. The median, 25th and 75th percentiles weight for each gait aspect were: general symmetry (25, 15, and 30), tracking (20, 10, and 30), spine curvature (20, 10, and 21), head bobbing (15, 10, and 20), speed (10, 5, and 20), and abduction and adduction (10, 5, and 10). General symmetry and tracking were deemed the most important gait aspects. A composite gait score can be calculated based on weighted importance of different gait aspects to indicate possible lameness.
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Willoughby, Hannah, Liam Foley, Andrea Scipione, and Simon Banbury. "I Care, If You Care: A Customizable Methodology for Eliciting Task Criticality Ratings to Guide Critical Task Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 908–12. http://dx.doi.org/10.1177/1071181322661432.
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In this practitioner paper, we present a customizable multi-domain methodology for eliciting task criticality ratings to determine if a Critical Task Analysis (CTA) is required to analyze safety-critical tasks undertaken by personnel conducting uranium mining and processing. This evidence-based methodology builds upon previous methodologies by integrating empirical findings from the risk and job analysis literature. Tasks are rated against five critical criteria: Impact on Environmental/Social License, Mission Effectiveness, Impact on Human Health/Safety, Cost, and Impact on Equipment/Infrastructure. The relative importance of each criterion can be customized through pre-determined weightings. Based on the summation of ratings against each criterion, a task criticality rating is derived using a custom flowchart. This allows for wide applicability to projects and industries, whose weighting against each criterion will differ, and is a step towards creating a validated, standardized CTA methodology that can be applied by practitioners across a broad range of safety critical domains.
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Fan, Lili, Hongwei Zhao, and Haoyu Zhao. "Wise optimisation: deep image embedding by informative pair weighting and ranked list learning." IET Image Processing 14, no. 15 (December 2020): 3802–11. http://dx.doi.org/10.1049/iet-ipr.2020.0454.
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Do, Duc Trung, and Nhu-Tung Nguyen. "Applying Cocoso, Mabac, Mairca, Eamr, Topsis and Weight Determination Methods for Multi-Criteria Decision Making in Hole Turning Process." Strojnícky časopis - Journal of Mechanical Engineering 72, no. 2 (November 1, 2022): 15–40. http://dx.doi.org/10.2478/scjme-2022-0014.
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Abstract The ranking of solutions to determine the best one among many solutions is always the setting goal for all activities of all fields in general and in the turning process in particular. When a solution is evaluated by multiple criteria, this is known as “Multi-Criteria Decision Making - MCDM”. Many MCDM methods were proposed by scientists, however, the ranked results of the solutions are not the same. In addition, the ranked results of the solutions also depend on the weighting methods of the criteria. In this study, the ranking of the solutions in the hole turning process was performed by different MCDM methods and with different weighting methods. Five MCDM methods were mentioned in this study including COCOSO, MABAC, MAIRCA, EAMR, and TOPSIS. In this study, five weighting methods were also used including MEREC weight, EQUAl weight, ROC weight, RS weight, and FUCOM weight. The combination of MCDM and weighting methods creates twenty-five ranking results of the solutions. It is interesting to note that all twenty-five ranking results determine the same best solution. The stability in ranking the solutions by MCDM methods was also discussed in this study. From the obtained results, several recommendations were drawn. Some issues that have not been solved in this study and need to be done in near future are also mentioned in the last section of this study.
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Francis, Christina, Paul Hansen, Bjarnhéðinn Guðlaugsson, David M. Ingram, and R. Camilla Thomson. "Weighting Key Performance Indicators of Smart Local Energy Systems: A Discrete Choice Experiment." Energies 15, no. 24 (December 8, 2022): 9305. http://dx.doi.org/10.3390/en15249305.
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The development of Smart Local Energy Systems (SLES) in the UK is part of the energy transition tackling the energy trilemma and contributing to achieving the Sustainable Development Goals (SDGs). Project developers and other stakeholders need to independently assess the performance of these systems: how well they meet their aims to successfully deliver multiple benefits and objectives. This article describes a step undertaken by the EnergyREV Research Consortium in developing a standardised Multi-Criteria Assessment (MCA) tool—specifically a discrete choice experiment (DCE) to determine the weighting of key performance indicators (KPIs). The MCA tool will use a technology-agnostic framework to assess SLES projects, track system performance and monitor benefit realisation. In order to understand the perceived relative importance of KPIs across different stakeholders, seven DCEs were conducted via online surveys (using 1000minds software). The main survey (with 234 responses) revealed that Environment was considered the most important criterion, with a mean weight of 21.6%. This was followed by People and Living (18.9%), Technical Performance (17.8%) and Data Management (14.7%), with Business and Economics and Governance ranked the least important (13.9% and 13.1%, respectively). These results are applied as weightings to calculate overall scores in the EnergyREV MCA-SLES tool.
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Stevens, Elise M., Andrea C. Villanti, Glenn Leshner, Theodore L. Wagener, Brittney Keller-Hamilton, and Darren Mays. "Integrating Self-Report and Psychophysiological Measures in Waterpipe Tobacco Message Testing: A Novel Application of Multi-Attribute Decision Modeling." International Journal of Environmental Research and Public Health 18, no. 22 (November 11, 2021): 11814. http://dx.doi.org/10.3390/ijerph182211814.
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Background: Waterpipe (i.e., hookah) tobacco smoking (WTS) is one of the most prevalent types of smoking among young people, yet there is little public education communicating the risks of WTS to the population. Using self-report and psychophysiological measures, this study proposes an innovative message testing and data integration approach to choose optimal content for health communication messaging focusing on WTS. Methods: In a two-part study, we tested 12 WTS risk messages. Using crowdsourcing, participants (N = 713) rated WTS messages based on self-reported receptivity, engagement, attitudes, and negative emotions. In an in-lab study, participants (N = 120) viewed the 12 WTS risk messages while being monitored for heart rate and eye-tracking, and then completed a recognition task. Using a multi-attribute decision-making (MADM) model, we integrated data from these two methods with scenarios assigning different weights to the self-report and laboratory data to identify optimal messages. Results: We identified different optimal messages when differently weighting the importance of specific attributes or data collection method (self-report, laboratory). Across all scenarios, five messages consistently ranked in the top half: four addressed harms content, both alone and with themes regarding social use and flavors and one addiction alone message. Discussion: Results showed that the self-report and psychophysiological data did not always have the same ranking and differed based on weighting of the two methods. These findings highlight the need to formatively test messages using multiple methods and use an integrated approach when selecting content.
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Sikström, Sverker, Laura Mai Stoinski, Kristina Karlsson, Lotta Stille, and Johan Willander. "Weighting power by preference eliminates gender differences." PLOS ONE 15, no. 11 (November 5, 2020): e0234961. http://dx.doi.org/10.1371/journal.pone.0234961.
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Power can be applied in different domains (e.g., politics, work, romantic relationships, family etc.), however, we do not always reflect on which domains we have power in and how important power in these domains is. A dominant idea is that men have more power than women. This notion may be biased because the concept of power is associated with public life. We introduce the concept of preference-weighted power (PWP), a measure of power that includes different domains in life, weighted by the domains’ subjective importance. Two studies investigated power from this perspective. In Study 1, participants generated words related to power, which were quantified/categorized by latent semantic analysis to develop a semantic measure of the power construct. In Study 2, we computed a PWP index by weighting the participants' self-rated power in different power domains with the importance of having power in that domain. Together the studies suggest that men have more perceived power in the public domain, however, this domain has a lower preference weighting than the private domain where women have more power than men. Finally, when preferences for power in different domains were considered, no gender differences were observed. These results emphasize gender difference in different domains and may change how we perceive men’s and women’s power in our society.
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Barata, Fausta Ari. "Performance measurement of supply chains and distribution industry using balanced scorecard and fuzzy analysis network process." Decision Science Letters 10, no. 3 (2021): 401–14. http://dx.doi.org/10.5267/j.dsl.2021.1.004.
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This study aims to identify effective indicators in the performance measurement of a firm using Balanced Scorecard (BSC) as well as weighting and ranking indicators by employing Fuzzy Analysis Network Process (FANP) and investigation on network mapping and the relationships between balanced scorecards with Fuzzy DEMATEL presenting strategies to improve performance of a firm. To assess the significance of the four perspectives: financial, customer, internal processes and learning and growth, about 28 indicators are identified, and after screening, 13 indicators are located as final BSC indicators. After examining the influencing of the main factors using fuzzy DEMATEL technique, internal processes dimension has the most impact and customer, and learning and growth and financial dimensions respectively are ranked as second to fourth priorities. Also using the Fuzzy ANP technique has examined weighting and ranking of dimension and performance measures indicators that dimension of customers has gained first rank and financial, internal processes and learning and growth are ranked as second to fourth respectively.
Dissertations / Theses on the topic "Raked weighting"
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Plansangket, Suthira. "New weighting schemes for document ranking and ranked query suggestion." Thesis, University of Essex, 2017. http://repository.essex.ac.uk/19456/.
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Term weighting is a process of scoring and ranking a term’s relevance to a user’s information need or the importance of a term to a document. This thesis aims to investigate novel term weighting methods with applications in document representation for text classification, web document ranking, and ranked query suggestion. Firstly, this research proposes a new feature for document representation under the vector space model (VSM) framework, i.e., class specific document frequency (CSDF), which leads to a new term weighting scheme based on term frequency (TF) and the newly proposed feature. The experimental results show that the proposed methods, CSDF and TF-CSDF, improve the performance of document classification in comparison with other widely used VSM document representations. Secondly, a new ranking method called GCrank is proposed for re-ranking web documents returned from search engines using document classification scores. The experimental results show that the GCrank method can improve the performance of web returned document ranking in terms of several commonly used evaluation criteria. Finally, this research investigates several state-of-the-art ranked retrieval methods, adapts and combines them as well, leading to a new method called Tfjac for ranked query suggestion, which is based on the combination between TF-IDF and Jaccard coefficient methods. The experimental results show that Tfjac is the best method for query suggestion among the methods evaluated. It outperforms the most popularly used TF-IDF method in terms of increasing the number of highly relevant query suggestions.
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Sundström, Jerker. "Difficulties to Read and Write Under Lateral Vibration Exposure : Contextual Studies Of Train Passengers Ride Comfort." Doctoral thesis, KTH, Farkost och flyg, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3974.
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Many people use the train both as a daily means of transport as well as a working place to carry out activities such as reading or writing. There are, however, several important factors in this environment that will hamper good performance of such activities. Some of the main sources of disturbance, apart form other train passengers, are noise and vibrations generated from the train itself. Although there are standards available for evaluation of ride comfort in vehicles none of them consider the effects that vibrations have on particular passengers' activities. To address these issues, three different studies were conducted to investigate how low frequency lateral vibrations influence the passengers' ability to read and write onboard trains. The first study was conducted on three types of Inter-Regional trains during normal service and included both a questionnaire survey and vibration measurements. Two proceeding laboratory studies were conducted in a train mock-up where the perceived difficulty of reading and writing was evaluated for different frequencies and amplitudes. To model and clarify how vibrations influence the processes of reading and writing the fundamentals of Human Activity Theory was used as a framework in this thesis. In the field study about 80% of the passengers were found to be reading at some point during the journey, 25% were writing by hand, and 14% worked with portable computers. The passengers applied a wide range of seated postures for their different activities. According to the standardised measurements, even the trains running on poor tracks showed acceptable levels of vibration. However, when the passengers performed a short written test, over 60 % reported to be disturbed or affected by vibrations and noise in the train. In the laboratory studies it was found that the difficulty in reading and writing is strongly influenced by both vibration frequency and acceleration amplitude. The vibration spectra of real trains were found to correspond well to the frequency characteristics of the rated difficulty. It was also observed that moderate levels of difficulty begin at fairly low vibration levels. Contextual parameters like sitting posture and type of activity also showed strong influence on how vibrations cause difficulty.
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Dal, Grande Eleonora. "Surveillance of health status and health risk: The future of data collection using the telephone in Australia." Thesis, 2017. http://hdl.handle.net/2440/119075.
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Epidemiologically-designed, continuous and effective chronic disease and behavioural risk factor surveillance systems provide scientific evidence at the local level to assist government, health professionals and administrators, to respond effectively in reducing the burden associated with non-communicable diseases (NCDs). Many monitoring and surveillance systems utilise the telephone as the method of choice in obtaining population data. However, the dramatic change in telecommunication usage, diminishing coverage of telephone sampling frames and declining participation in household surveys, has led to methodological and statistical challenges. This has led to the present study that explores these challenges through an established telephone data collection system in Australia, the South Australian Monitoring and Surveillance System (SAMSS). The aim of this research is to determine how telephone surveys in Australia can continue to be used to reliably collect representative information on health indicators and other related health issues by exploring alternative efficient and cost effective methods. The first study, using face-to-face South Australian household survey data, found that using landline-based telephone number sampling frames excludes mobile-only households in Australia (27.8% of households in 2013). From 2006 to 2013, the proportion of mobile-only households has increased and this trend does not appear to be plateauing. This corresponds with the decrease in landline telephone coverage. Mobile-only households are demographically different in that respondents are more likely to be younger, never married and living in rented accommodation. By excluding this group, landline-based sampling frames may possibly produce biased health estimates for some health indicators, such as the proportion of people who are current smokers or who have a mental health condition. The second study found participation in SAMSS has decreased over a period of twelve years, with an 18.6% decrease in the response rate (from 68.9% in 2002 to 56.1% in 2014) and a 65.5% increase in the refusal rate. When demographic data are compared to Census data, SAMSS had a higher proportion of females, older people and people who rent, and these groups are increasingly being over-represented over time. The result from these studies imply that a mobile telephone sample needs to be incorporated. Unfortunately, there is no complete mobile telephone sampling frame in Australia with a geographical marker and only 7% of the currently used nationwide mobile telephone sampling frames are South Australian residents, making the sampling method uneconomic. This is compounded by lower participation in mobile telephone surveys compared to landline telephone surveys. Based on these methodological issues and corresponding with decline in participation, efficient methodological strategies need to be considered for smaller states like South Australia. The last two studies present two different cost effective and efficient methodological techniques, to minimise bias in health estimates due to nonresponse and sample coverage, and to increase participation in mobile telephone surveys. One study used raked weighting methodology to overcome, to some extent, the nonresponse biases and sampling coverage problems associated with telephone surveys. By incorporating more sociodemographic variables such as renting and marital status, besides the usual age, sex and area of residence, health estimates such as the proportion of current smokers corresponds well with other more expensive face-to-face surveys. The last study used a simple novel technique of sending a text message to prospective survey respondents to improve participation. This thesis has explored and shown, from a series of studies, that telephone surveys, with careful monitoring of procedures and use of innovative techniques and statistical methods, can still be used to collect and report information on chronic diseases and behavioural risk factors in Australia. The uniqueness of this body of works presents a detailed examination of the status of a current surveillance system by nonresponse rates, trends of nonresponse rates and coverage biases, and links this information to possible solutions to overcome nonresponse biases, with the aim of producing reliable and representative health estimates.Thesis (Ph.D.) -- University of Adelaide, Adelaide Medical School, 2016
Conference papers on the topic "Raked weighting"
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Wang, Jian, Zhichao Zhang, Dongmei Huang, Wei Song, Quanmiao Wei, and XinYue Li. "A Ranked Similarity Loss Function with pair Weighting for Deep Metric Learning." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414668.
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Ardi, Rolian, and I. Gusti Bagus Baskara Nugraha. "Precision improvement of ranked text retrieval using keyword weighting on paragraph vector." In 2017 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2017. http://dx.doi.org/10.1109/icitsi.2017.8267948.
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Yu, Liangwei, Zhao Wang, Yan Ye, Lingyu Zhu, and Shiqi Wang. "A Soft-ranked Index Fusion Framework with Saliency Weighting for Image Quality Assessment." In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2022. http://dx.doi.org/10.1109/cvprw56347.2022.00197.
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Wanigasekara, Nirandika, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, and David S. Rosenblum. "Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/532.
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This paper tackles the problem of providing users with ranked lists of relevant search results, by incorporating contextual features of the users and search results, and learning how a user values multiple objectives. For example, to recommend a ranked list of hotels, an algorithm must learn which hotels are the right price for users, as well as how users vary in their weighting of price against the location. In our paper, we formulate the context-aware, multi-objective, ranking problem as a Multi-Objective Contextual Ranked Bandit (MOCR-B). To solve the MOCR-B problem, we present a novel algorithm, named Multi-Objective Utility-Upper Confidence Bound (MOU-UCB). The goal of MOU-UCB is to learn how to generate a ranked list of resources that maximizes the rewards in multiple objectives to give relevant search results. Our algorithm learns to predict rewards in multiple objectives based on contextual information (combining the Upper Confidence Bound algorithm for multi-armed contextual bandits with neural network embeddings), as well as learns how a user weights the multiple objectives. Our empirical results reveal that the ranked lists generated by MOU-UCB lead to better click-through rates, compared to approaches that do not learn the utility function over multiple reward objectives.
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Roberts, Bonnie C., Michael E. Webber, and Ofodike A. Ezekoye. "A Multi-Objective Fire Safety and Sustainability Screening Tool for Specifying Insulation Materials." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38593.
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Fire safety and sustainability goals in building design are frequently interdependent. Design elements chosen for their fire safety can have energy efficiency implications and vice versa. Furthermore, the environmental damage and carbon emissions from a single fire event can negate the utility of green features invested in the building. Therefore, while not obvious, fire safety and its impact on sustainability are inextricably linked. One of the decisions related to both sustainability and fire safety is the selection of thermal insulation materials. Insulating materials have always been an integral part of building design, serving as a key component in thermally controlling indoor environments. Modern designs and construction techniques often incorporate sustainability goals by seeking to minimize life cycle energy consumption and environmental impact. A well-insulated building reduces thermal load on the HVAC system, thus reducing energy consumption of the building. Therefore, a sustainably designed building is typically a heavily insulated building. In addition to thermal resistance characteristics, the choice of insulating material is often based on acoustic damping and cost. However, fire safety is generally overlooked as a factor for insulation material selection. Few treatments have considered how the competing objectives for sustainability and fire safety should be assessed when choosing insulation. This paper discusses a methodology for balancing these requirements by evaluating the aforementioned attributes of various insulating materials through implementation of a weighted mean. Each variable is normalized and then weighted according to the emphasis placed on each attribute, using experimental data for the relevant material property. Four weighting scenarios are presented, each emphasizing a different area of consideration: installed cost, fire safety, life-cycle assessment, and thermal. Materials considered are cellulose (newspaper), denim (cotton), fiberglass, stone wool, polyurethane, and polystyrene. Results of this analysis rank the materials in order of desirability and provide a method to reorder this ranking based on the priority assigned to each attribute. For the weighting scenarios presented herein, stone wool was consistently ranked as the best performer, while extruded polystyrene was typically the weakest. The intent is that this methodology would be informative for designers selecting materials and for planners contemplating revised building codes.
Reports on the topic "Raked weighting"
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Rigby, Dan, Michael Burton, Katherine Payne, Zachary Payne-Thompson, Stuart Wright, and Sarah O’Brien. Impacts of Food Hypersensitivities on Quality of Life in the UK and Willingness to Pay (WTP) to remove those impacts. Food Standards Agency, December 2022. http://dx.doi.org/10.46756/sci.fsa.kij502.
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This project concerns the impacts of food hypersensitivity on people’s quality of life and the monetary value people assign to the removal of those impacts. Food hypersensitivities (FHS) are, in this report, defined as comprising food allergy, coeliac disease and food intolerance. Estimates of the economic value of removal of food hypersensitivity were generated from a stated preference (SP) survey in which people completed a discrete choice experiment (DCE). The DCE comprised of choices between (i) no change in respondents’ food hypersensitivity and (ii) the condition being removed for a specified period, at a cost. The surveys were conducted between July and December 2021 by adults regarding their own food hypersensitivity or by parents/carers regarding their child’s food hypersensitivity. The samples comprised 1426 adults and 716 parents. The average WTP for the removal of an adult’s FHS for a year, pooled across all conditions was £718. For models estimated separately by condition, the WTP values for food allergy, coeliac disease and food intolerance were £1064, £1342 and £540 respectively. In models estimated on DCE data from parents regarding their children’s food hypersensitivity the average WTP, pooled across all conditions, was £2501. The annual WTP values by condition were: £2766 for food allergy; £1628 for coeliac disease; £1689 for food intolerance. Respondents rated their (child’s) health and the impacts of their (child’s) FHS using several established instruments including the Food Allergy Quality of Life Questionnaire (FAQLQ); Food Intolerance Quality of Life Questionnaire (FIQLQ); Coeliac Disease Quality of Life Questionnaire, (CDQ). In the adult allergy and intolerance models we find robust evidence of effects of the perceived severity of FHS on WTP – the higher people’s FAQLQ and FIQLQ scores, the more they are willing to pay to remove their condition. There was no effect of variation in the CDQ score on WTP to remove coeliac disease. In the child WTP results we find condition-severity effects in the coeliac sample: the worse the child’s CDQ score the higher the parents’ WTP to remove the condition. The WTP values are estimates of the combined annual costs associated with (i) the intangible costs including the pain, anxiety, inconvenience and anxiety caused by FHS and (ii) additional incurred costs (time and money) and lost earnings. The values can be incorporated into the FSA Cost of Illness (COI) model, the Burden of Foodborne disease in the UK (Opens in a new window) which is currently used to measure the annual, social, cost of foodborne disease. A Best Worst Scaling (BWS) exercise was conducted to identify the relative importance of the many and diverse impacts which comprise the FAQLQ, FIQLQ and CDQ instruments. The BWS results indicate that people assign very different levels of importance to the impacts comprising the three instruments. This unequal prioritisation contrasts with the equal weighting used in the construction of the FAQLQ, FIQLQ and CDQ measures. Embarrassment and fear related to eating out or social situations feature in the top three impacts for all the conditions. Identifying the effects which most affect quality of life (from the perspective of people living with those conditions) has the potential to inform policy and practice by both regulators and private organisations such as food business operators.