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53 results for “Choice experiment”
Valuing diversification benefits through intercropping in Mediterranean agroecosystems: A choice experiment approach.
<p>This data set contains information from a choice experiment survey developed to value the socio-economic benefits of intercropping practices in Mediterranean agroecosystems.</p> <p>These data correspond to the open-access article "Valuing diversification benefits through intercropping in Mediterranean agroecosystems: A choice experiment approach" published in Ecological Economics. (<a href="https://doi.org/10.1016/j.ecolecon.2020.106593">https://doi.org/10.1016/j.ecolecon.2020.106593</a>), funded by he European Commission Horizon 2020 project Diverfarming [grant agreement 728003]. </p>
Raw data for CPC2015: A Choice Prediction Competition for decisions under risk, under Ambiguity, and from experience
<p>This is the raw data collected as part of a choice prediction competition organized by the three authors for decisions under risk, under ambiguity, and from experience. It includes over 330,000 consequential choices of human participants between two risky and/or uncertain prospects. More details about the competition and the data can be found in http://departments.agri.huji.ac.il/cpc2015.</p> <p>If you use this data, please cite the paper describing the competition: Erev, I., Ert, E., Plonsky, O., Cohen, D., & Cohen, O. (2017). From anomalies to forecasts: Toward a descriptive model of decision under risk, under ambiguity, and from experience. <em>Psychological Review,</em> 124(4), 369-409.<em> </em>DOI: 10.1037/rev0000062</p>
CUPID: Parental preferences for unscheduled paediatric healthcare: A Discrete Choice Experiment
<p>Unscheduled healthcare is a key component of healthcare delivery and makes up a significant proportion of healthcare access with children being particularly high users of unscheduled healthcare. Understanding the relative importance of factors that influence this behaviour and decision making is fundamental to ensuring the system is best designed to meet the needs of users, and the appropriate cost-effective usage of health system resources.</p> <p>A discrete choice experiment (DCE) was developed to identify the preferences of parents accessing unscheduled healthcare for their children. Data was collected from parents in Ireland (N = 458) to elicit preferences across five attributes: timeliness, appointment type, healthcare professional attended, telephone guidance prior to attending, and cost. Using mixed logit models, all attributes were statistically significant, with same-day or next-day access, coupled with care by their own GP, identified as the strongest preferences of parents accessing unscheduled healthcare for their children. The results have implications for policy development and implementation initiatives that seek to improve unscheduled health services as understanding how parents use these services can maximise their effectiveness. </p> <p>Files explained:</p> <p>1. Parent_Decision_Making_DCE_Survey.docx details the survey.</p> <p>2. Final Parent DCE design.ngd: Ngene™ file used to set-up the DCE. A Bayesian efficient design, based on minimising the Bayesian D-error criterion, was used to develop the choice sets and the alternatives using Ngene<sup>TM </sup>software. In total, 24 choice sets were created, and a blocked design split the choice sets into two blocks of twelve to minimise the burden on respondents.</p> <p>3. Data from Survey 23 Feb 2021.xlsx is the source file detailing responses to the survey.</p> <p>4. Stata Data Formatted for DCE.dta is the file formatted for the DCE for analysis.</p>
Figure 1 in Does Male Sexual Experience Influence Female Mate Choice and Reproduction in the Melon Fly (Diptera: Tephritidae)?
Figure 1. (A) Number of eggs laid per female per week and (B) proportion of hatched eggs per week for Zeugodacus cucurbitae females mated to virgin or non-virgin (thrice-mated) males. Symbols represent averages (+ 1 SE) over 8 cages per male type.
Comparing the route-choice behavior of pedestrians around obstacles in a virtual experiment and a field study
<p>There is a great controversy about the application of virtual experiment in pedestrian routing behavior research. We conducted field observations and virtual experiment to study the route choice behavior of pedestrians. The route choice behavior around obstacles are compared qualitatively. The results shows that distance to the exit routes as well as the density around the exits show great influence on the pedestrians' route choice behavior while the speed of frontal pedestrians shows no obvious impact on the route choice. Pedestrians prefer to choose local closer exit or the exit with less occupants. The results of logistic regression show that the similar results can be obtained in virtual experiment and field observation qualitatively. This work can verify the validity of the virtual experiment for studying route choice behavior of pedestrians, which is of great importance for the application of virtual experiment.</p> <p>The files are trajectories of the recorded videos in the field observation.</p>
Incentivized binary choice under risk - data from experiment
<p>The dataset contains lotteries (Distributions_stimuli) for the experiment and the subjects' choices. The computerized experiment was performed using an application created for this purpose. The experiment was run in 2018 in the laboratory of the University of Gdańsk, Poland. The subjects were undergraduate students who volunteered for the survey. An incentives system allowing for gains and losses was applied. </p>
EVIDENT H2020 – Discrete Choice Experiment Dataset
<p>The EVIDENT Discrete Choice Experiment seeks to explore the impact of energy related financial literacy, consumer motivation, point-of-sale information and demographic factors on discount rate and willingness to pay for efficient household appliances. Across a series of choice experiments, the impact of factors such as financial information (purchase price, operating cost, salience of financial information), risk reduction (i.e. extended warranty), and financial capacity (i.e. low cost loans) on implicit discount rates for home appliances is examined. Further, the impact of direct rebound rates on efficient appliance selection is examined.</p> <p>The experiment consists of the following sections: 1) demographic information; 2) current home appliance purchasing behaviour; 3) financial literacy; 4) environmental literacy; 5) stated preference experiment consisting of four choice points; 6) discount rates; 7) discrete choice experiment consisting of ten choice points; and 8) questions examining direct rebound rates associated with the novel appliance selected.</p> <p>As noted above, two choice experiments are included within the current use case. The first of these is a stated preference experiment which examines the impact of financial and energy framing on willingness-to-pay for energy efficient appliances. Four choice points are presented within this experiment. Choice 1 presents five identical versions of an appliance which differ only by key feature, and seeks to reduce hypothetical bias across the choice experiment. For example, for a washing machine the key features are cost, capacity, spin speed, quick wash time and pause wash functionality. Choice 2 consists of the participants initial choice (at choice 1) alongside alternatives which differ only in purchase price and energy rating, with purchase price greater for more efficient appliances (I.e. A rated appliances are most expensive; D rated appliances are least expensive). Choice 3 is similar to choice 2, however in this instance operational costs per month are also presented. Again, operational costs are lower for more efficient appliances. Choice 3 is similar to choice 3 however in this instance operational costs per year are presented.</p> <p>The second choice experiment is the DCE which explores the relative impacts of risk reduction (extended warranty), and financial supports (low cost loan, loan term) on willingness to invest in more efficient energy appliances. Attributes were selected based on literature review, focus group analyses, cognitive walk-through and usability analyses. Once final attributes were determined, choice cards were developed using a fractional factorial design. A statistically efficient main-effects design with 10 choice sets was created in R studio using the idefix package. As such, participants are presented with a series of ten choice points, each consisting of two appliances and a ‘no preference’ option.</p> <p>More information on the EVIDENT Discrete Choice Experiment can be found on the public deliverables of the EVIDENT project <a href="https://evident-h2020.eu/deliverables/">https://evident-h2020.eu/deliverables/</a>. More specifically, the experiment's theoretical framework and motivation are described in deliverable D1.2 <a href="https://evident-h2020.eu/wp-content/uploads/2021/12/EVIDENT_D1.2_Assessing_behavioural_biases_and_financial_literacy.pdf">Assessing behavioural biases and financial literacy</a>, in section 5 while the final design is reported in D2.2 <a href="https://space.uowm.gr/confluence/display/evidenth2020/D2.2+Optimized+protocols+design">Optimised Protocols Design</a></p>
Data from: How to use discrete choice experiments to capture stakeholder preferences in social work research
<p>The primary article (cited below under "Related works") introduces social work researchers to discrete choice experiments (DCEs) for studying stakeholder preferences. The article includes an online supplement with a worked example demonstrating DCE design and analysis with realistic simulated data. The worked example focuses on caregivers' priorities in choosing treatment for children with attention deficit hyperactivity disorder. This dataset includes the scripts (and, in some cases, Excel files) that we used to identify appropriate experimental designs, simulate population and sample data, estimate sample size requirements for the multinomial logit (MNL, also known as conditional logit) and random parameter logit (RPL) models, estimate parameters using the MNL and RPL models, and analyze attribute importance, willingness to pay, and predicted uptake. It also includes the associated data files (experimental designs, data generation parameters, simulated population data and parameters, simulated choice data, MNL and RPL results, RPL sample size simulation results, and willingness-to-pay results) and images. The data could easily be analyzed using other software, and the code could easily be adapted to analyze other data. Because this dataset contains only simulated data, we are not aware of any legal or ethical considerations.</p>
Data from: How to use discrete choice experiments to capture stakeholder preferences in social work research
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Stated Choice Experiment to measure willingness to pay for stream health improvements in Macon County, NC, 2012-2013
We ran a survey with a random sample of 3500 residents in Macon County, NC. We drew the sample from a total of 26993 parcels identified in the Macon County tax data. We ran the survey between September 2012 and February 2013 and had a response rate of 40.8%. The survey included a stated choice experiment designed to measure willingness to pay for stream health improvements in the region. The survey also included a set of auxiliary questions to assess general preferences for land management and relevant environmental characteristics.
Putting a new `spin' on energy information: Measuring the impact of reframing energy efficiency information on tumble dryer choices in a multi-country experiment.
<p>Public open-access repository for the data used within the paper titled "Putting a new `spin' on energy information: Measuring the impact of reframing energy efficiency information on tumble dryer choices in a multi-country experiment".</p>
Results and analysis script from a discrete choice experiment assessing public preferences for rewilding in the Oder Delta
<p>1. Rewilding is an emerging paradigm in restoration science, and is increasingly gaining popularity as a cost-effective ecosystem restoration option. A rewilding framework was recently proposed that contains three integral components: restoring trophic complexity, allowing for stochastic disturbances, and enhancing species' potential to disperse. However, as of yet, there has been limited quantitative analysis looking at public preference for rewilding and each of its elements.</p> <p>2. We used a discrete choice experiment approach to determine public preference for rewilding in the Oder Delta. The unique geographical context of the Oder Delta, spreading evenly across two countries, allowed us to analyze differences between the German (n = 1,005) and Polish (n = 1,066) samples.</p> <p>3. In both countries, we found respondents were willing to pay for rewilding interventions when compared against a status quo option. Notably, preferences were strongest for restoring trophic complexity through promoting the comeback of large mammals.</p> <p>4. In addition, we found respondents living locally to the study region had significantly different preferences than the nationwide samples, exhibiting negative willingness to pay for the restoration of natural flooding regimes and the presence of large predator species.</p>
Data from: Juvenile experience with male cues triggers cryptic choice mechanisms in adult female redback spiders
<p>Female choice may be linked to population density if expected encounter rates with potential mates affects choosiness (energy and risk engaged to express mate preferences). Choosiness should covary with male availability, which could be assessed using social cues available during development. We tested whether exposure of juvenile females to cues of male density affected mechanisms of choosiness of adult <i>Latrodectus hasselti</i> spiders in two experiments simulating natural contexts. Juvenile females were exposed to (1) volatile chemicals from two densities of adult males (airborne cues), and (2) tactile, vibrational, and chemical cues from adult males or other females (cohabitation cues). As adults, females mated readily, regardless of treatment, but there was strong evidence for post-copulatory mechanisms of choosiness in females exposed to cues of high male availability. These included abbreviated matings (both experiments), cannibalism of males before mating was complete (cohabitation), and, remarkably, a reduction in the successful placement of internal sperm plugs (cohabitation). These shifts decrease the likelihood that the first mate would monopolize paternity if the female chose to mate again. We conclude that female choosiness may impose strong selection on males despite high mating rates, and these effects can hinge on cues of male availability detected by juveniles.</p>
The role of contextual factors in decision-making by General Practitioners on paediatric referral to the Emergency Department: A Discrete Choice Experiment
<p>A General Practitioner’s (GP) decision to refer a patient to the emergency department (ED) requires consideration of a multitude of factors, and significant variation in GP referral patterns to secondary care has been recorded. This study examines the contextual factors that influence GPs when referring a paediatric patient with potentially self-limiting clinical symptoms to the ED.</p> <p>Utilizing a discrete choice experiment, survey data was collected from GPs in Ireland (n = 142) to elicit factors influencing this decision across five attributes: time/day of visit, repeat presentation, parents’ capacity to cope, parent requesting a referral, and access to a paediatric outpatient clinic/day unit.</p> <p>Using mixed logit models, all attributes were statistically significant, with repeat presentation and parents lacking the capacity to cope with a sick child identified as the strongest contextual factors leading to the decision to refer to the ED.</p> <p> </p> <p>Files explained:</p> <p>1. Survey Questions.docx details the survey.</p> <p>2. Ngene DCE design.ngd: Ngene™ file used to set-up the DCE.</p> <p>3. Survey Data File.xlsx is the source file detailing responses to the survey.</p> <p>4. Stata Data File Formatted for DCE.dta is the file formatted for the DCE for analysis</p> <p> </p> <p>Note:</p> <p><em>Data collection for a second survey for a patient with intellectual disability and limited communication skills was carried out at the same time as this survey. Data from this second study (Q4.1 – Q4.7 & Q6.1 – Q6.7) are not included in these files. </em></p>
Patient preferences for HIV service delivery models: A discrete choice experiment in Kisumu, Kenya
<p><strong>Background</strong>: Novel "differentiated service delivery" models for HIV treatment that reduce clinic visit frequency, minimize waiting time, and deliver treatment in the community promise retention improvement for HIV treatment in Sub-Saharan Africa. Quantitative assessments of differentiated service delivery (DSD) feature most preferred by patient populations do not widely exist but could inform the selection and prioritization of different types of DSD models.</p> <p><strong>Methods</strong>: We used a discrete choice experiment (DCE) to elicit patient preferences for HIV treatment services and how they differ across DSD models. We surveyed adults aged >18 years, enrolled in HIV care for >6 months between February and March 2019 at four facilities in Kisumu County, Kenya. DCE offered patients a series of comparisons between three treatment models, each of which varied in seven attributes: ART refill location, the quantity of ART dispensed at each refill, medication pick-up hours, type of adherence support, clinical visit frequency, staff attitude, and professional cadre of the person providing ART refills. We used a hierarchical Bayesian model to estimate attribute importance and the relative desirability of care characteristics, latent class analysis (LCA) for groups of preferences, and mixed logit model for willingness to trade analysis.</p> <p><strong>Results</strong>: Of 242 patients, 128 (53.8%) were females and 150 (62.8%) lived in rural areas. Patients placed the greatest importance on ART refill location [19.5% (95%CI 18.4, 20.6)] and adherence support [19.5% (95%CI 18.7, 20.3)], followed by staff attitude [16.1% (95%CI 15.1, 17.2)]. In the mixed logit, patients preferred the nice attitude of the staff (coefficient=1.60), refill ART health center (Coeff=1.58), and individual adherence support (Coeff=1.54), 3 or 6 months for ART refill (Coeff=0.95 & 0.80, respectively) and pharmacists (instead of lay health workers) providing ART refill (Coeff=0.64). No differences were observed by gender or urbanicity. LCA revealed two distinct groups (59.5% vs.40.5%).</p> <p><strong>Conclusions</strong>: Participants preferred 3 to 6-month refill intervals or clinic visit spacing, which DSD provides for stable patients. While DSD has also encouraged community ART group options, our results suggest strong patient preferences for ART refills from health centers or by pharmacists over lay caregivers or community members. These preferences held across gender and urban/rural subpopulations. </p>
Results and analysis script from a discrete choice experiment assessing public preferences for rewilding in the Oder Delta
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Patient preferences for HIV service delivery models: A discrete choice experiment in Kisumu, Kenya
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Data from: Juvenile experience with male cues triggers cryptic choice mechanisms in adult female redback spiders
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Understanding what women want: eliciting preference for delivery health facility in a rural sub-County in Kenya, a discrete choice experiment
<p>Objective: To identify what women want in a delivery health facility and how they rank the attributes that influence the choice of a place of delivery.</p> <p>Design: A Discrete Choice Experiment was conducted to elicit rural women's preferences for choice of delivery health facility. Data were analyzed using both a conditional logit model to evaluate relative importance of the selected attributes. A mixed multinomial model evaluated how interactions with sociodemographic variables influence the choice of the selected attributes.</p> <p>Setting: Six health facilities in a rural sub-County.</p> <p>Participants: Women aged 18-49 years who had delivered within six weeks.</p> <p>Primary outcome: The DCE required women to select from hypothetical health facility A or B or opt-out alternative.</p> <p>Results: A total of 474 participants were sampled, 466 participants completed the survey (response rate 98%).The attribute with the strongest association with health facility preference was having a kind and supportive healthcare worker (β=1.184, p&lt;0.001), second availability of medical equipment and drug supplies (β=1.073, p&lt;0.001) and third quality of clinical services (β=0.826, p&lt;0.001). Distance, availability of referral services and costs were ranked 4th, 5th and 6th respectively (β=0.457, p&lt;0.001),<br> (β=0.266 p&lt;0.001), and (β=0.000018, p&lt;0.001). The opt-out alternative ranked last suggesting a disutility for home delivery. (β=-0.849, p&lt;0.001).</p> <p>Conclusion: The most highly valued attribute was a process indicator of quality of care followed by technical indicators. Policy makers need to consider women's preferences to inform strategies that are person-centered and lead to improvements in quality of care during delivery.</p>
Choice experiment_Xhakollari
<p>Data on choice experiment</p>
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