scholarly journals Maximizing participation from online survey panel members

2021 ◽  
Author(s):  
Kylie Brosnan ◽  
Astrid Kemperman ◽  
Sara Dolnicar
Keyword(s):  
Qualitative Study ◽  
Choice Experiment ◽  
Online Survey ◽  
Relative Importance ◽  
Stated Choice ◽  
Online Panel ◽  
Survey Participation ◽  
Key Drivers ◽  
Practical Guidance ◽  
Online Panels

Low survey participation from online panel members is a key challenge for market and social researchers. We identify 10 key drivers of panel members’ online survey participation from a qualitative study and then determine empirically using a stated choice experiment the relative importance of each of those drivers at aggregate and segment levels. We contribute to knowledge on survey participation by (a) eliciting key drivers of survey participation by online panel members, (b) determining the relative importance of each driver, and (c) accounting for heterogeneity across panel members in the importance assigned to drivers. Findings offer immediate practical guidance to market and social researchers on how to increase participation in surveys using online panels.

scholarly journals Maximizing participation from online survey panel members

2019 ◽  
pp. 147078531988070 ◽  
Author(s):  
Kylie Brosnan ◽  
Astrid Kemperman ◽  
Sara Dolnicar
Keyword(s):  
Qualitative Study ◽  
Choice Experiment ◽  
Online Survey ◽  
Relative Importance ◽  
Stated Choice ◽  
Online Panel ◽  
Survey Participation ◽  
Key Drivers ◽  
Practical Guidance ◽  
Online Panels

Low survey participation from online panel members is a key challenge for market and social researchers. We identify 10 key drivers of panel members’ online survey participation from a qualitative study and then determine empirically using a stated choice experiment the relative importance of each of those drivers at aggregate and segment levels. We contribute to knowledge on survey participation by (a) eliciting key drivers of survey participation by online panel members, (b) determining the relative importance of each driver, and (c) accounting for heterogeneity across panel members in the importance assigned to drivers. Findings offer immediate practical guidance to market and social researchers on how to increase participation in surveys using online panels.

scholarly journals Maximising participation from online survey panel members

2021 ◽  
Author(s):  
Kylie Brosnan ◽  
Astrid Kemperman ◽  
Sara Dolnicar
Keyword(s):  
Qualitative Study ◽  
Choice Experiment ◽  
Online Survey ◽  
Relative Importance ◽  
Stated Choice ◽  
Online Panel ◽  
Survey Participation ◽  
Key Drivers ◽  
Practical Guidance ◽  
Online Panels

Low survey participation from online panel members is a key challenge for market and social researchers. We identify ten key drivers of panel members’ online survey participation from a qualitative study, then determine empirically using a stated choice experiment the relative importance of each of those drivers at aggregate and segment level. We contribute to knowledge on survey participation by (1) eliciting key drivers of survey participation by online panel members, (2) determining the relative importance of each driver, and (3) accounting for heterogeneity across panel members in the importance assigned to drivers. Findings offer immediate practical guidance to market and social researchers on how to increase participation in surveys using online panels.

scholarly journals Recruiting a Probability-Based Online Panel via Postal Mail: Experimental Evidence

2021 ◽  
pp. 089443932110060
Author(s):  
Carina Cornesse ◽  
Barbara Felderer ◽  
Marina Fikel ◽  
Ulrich Krieger ◽  
Annelies G. Blom
Keyword(s):  
High Frequency ◽  
Large Scale ◽  
Online Survey ◽  
Social Research ◽  
Experimental Conditions ◽  
Online Panel ◽  
Scale Experiment ◽  
Online Panels ◽  
Postal Mail ◽  
Representative Samples

Once recruited, probability-based online panels have proven to enable high-quality and high-frequency data collection. In ever faster-paced societies and, recently, in times of pandemic lockdowns, such online survey infrastructures are invaluable to social research. In absence of email sampling frames, one way of recruiting such a panel is via postal mail. However, few studies have examined how to best approach and then transition sample members from the initial postal mail contact to the online panel registration. To fill this gap, we implemented a large-scale experiment in the recruitment of the 2018 sample of the German Internet Panel (GIP) varying panel recruitment designs in four experimental conditions: online-only, concurrent mode, online-first, and paper-first. Our results show that the online-only design delivers higher online panel registration rates than the other recruitment designs. In addition, all experimental conditions led to similarly representative samples on key socio-demographic characteristics.

scholarly journals Recruiting a Probability-Based Online Panel via Postal Mail: Experimental Evidence

2021 ◽  
Author(s):  
Carina Cornesse ◽  
Barbara Felderer ◽  
Marina Fikel ◽  
Ulrich Krieger ◽  
Annelies G. Blom
Keyword(s):  
High Frequency ◽  
Large Scale ◽  
Online Survey ◽  
Social Research ◽  
Experimental Conditions ◽  
Online Panel ◽  
Scale Experiment ◽  
Online Panels ◽  
Postal Mail ◽  
Representative Samples

Once recruited, probability-based online panels have proven to enable high-quality and high-frequency data collection. In ever faster-paced societies and, recently, in times of pandemic lockdowns, such online survey infrastructures are invaluable to social research. In absence of email sampling frames, one way of recruiting such a panel is via postal mail. However, few studies have examined how to best approach and then transition sample members from the initial postal mail contact to the online panel registration. To fill this gap, we implemented a large-scale experiment in the recruitment of the 2018 sample of the German Internet Panel (GIP) varying panel recruitment designs in four experimental conditions: online-only, concurrent mode, push-to-web, and paper-first. Our results show that the online-only design delivers higher online panel registration rates than the other recruitment designs. In addition, all experimental conditions led to similarly representative samples on key socio-demographic characteristics.

scholarly journals Discrete choice experiment for eliciting preference for health services for patients with ALS and their informal caregivers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Katy Tobin ◽  
Sinead Maguire ◽  
Bernie Corr ◽  
Charles Normand ◽  
Orla Hardiman ◽  
...  
Keyword(s):  
Health Services ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Strong Preference ◽  
Multidisciplinary Teams ◽  
Relative Importance ◽  
Trade Offs ◽  
Als Patients ◽  
The Impact

Abstract Background Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative condition with a mean life expectancy of 3 years from first symptom. Understanding the factors that are important to both patients and their caregivers has the potential to enhance service delivery and engagement, and improve efficiency. The Discrete Choice Experiment (DCE) is a stated preferences method which asks service users to make trade-offs for various attributes of health services. This method is used to quantify preferences and shows the relative importance of the attributes in the experiment, to the service user. Methods A DCE with nine choice sets was developed to measure the preferences for health services of ALS patients and their caregivers and the relative importance of various aspects of care, such as timing of care, availability of services, and decision making. The DCE was presented to patients with ALS, and their caregivers, recruited from a national multidisciplinary clinic. A random effects probit model was applied to estimate the impact of each attribute on a participant’s choice. Results Patients demonstrated the strongest preferences about timing of receiving information about ALS. A strong preference was also placed on seeing the hospice care team later rather than early on in the illness. Patients also indicated their willingness to consider the use of communication devices. Grouping by stage of disease, patients who were in earlier stages of disease showed a strong preference for receipt of extensive information about ALS at the time of diagnosis. Caregivers showed a strong preference for engagement with healthcare professionals, an attribute that was not prioritised by patients. Conclusions The DCE method can be useful in uncovering priorities of patients and caregivers with ALS. Patients and caregivers have different priorities relating to health services and the provision of care in ALS, and patient preferences differ based on the stage and duration of their illness. Multidisciplinary teams must calibrate the delivery of care in the context of the differing expectations, needs and priorities of the patient/caregiver dyad.

scholarly journals Impact of COVID-19 pandemic social restriction measures on people with rheumatic and musculoskeletal diseases in the UK: a mixed-methods study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e048772
Author(s):  
Toby O Smith ◽  
Pippa Belderson ◽  
Jack R Dainty ◽  
Linda Birt ◽  
Karen Durrant ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Qualitative Study ◽  
Online Survey ◽  
Musculoskeletal Diseases ◽  
Community Dwelling ◽  
Secondary Outcome ◽  
Healthcare Provision ◽  
Social Restriction ◽  
The Uk ◽  
The Impact

ObjectivesTo determine the impact of COVID-19 pandemic social restriction measures on people with rheumatic and musculoskeletal diseases (RMDs) and to explore how people adapted to these measures over time.DesignMixed-methods investigation comprising a national online longitudinal survey and embedded qualitative study.SettingUK online survey and interviews with community-dwelling individuals in the East of England.ParticipantsPeople in the UK with RMDs were invited to participate in an online survey. A subsection of respondents were invited to participate in the embedded qualitative study.Primary and secondary outcome measuresThe online survey, completed fortnightly over 10 weeks from April 2020 to August 2020, investigated changes in symptoms, social isolation and loneliness, resilience and optimism. Qualitative interviews were undertaken assessing participant’s perspectives on changes in symptoms, exercising, managing instrumental tasks such a shopping, medication and treatment regimens and how they experienced changes in their social networks.Results703 people with RMDs completed the online survey. These people frequently reported a deterioration in symptoms as a result of COVID-19 pandemic social restrictions (52% reported increase vs 6% reported a decrease). This was significantly worse for those aged 18–60 years compared with older participants (p=0.017). The qualitative findings from 26 individuals with RMDs suggest that the greatest change in daily life was experienced by those in employment. Although some retired people reported reduced opportunity for exercise outside their homes, they did not face the many competing demands experienced by employed people and people with children at home.ConclusionsPeople with RMDs reported a deterioration in symptoms when COVID-19 pandemic social restriction measures were enforced. This was worse for working-aged people. Consideration of this at-risk group, specifically for the promotion of physical activity, changing home-working practices and awareness of healthcare provision is important, as social restrictions continue in the UK.

scholarly journals Understanding the influence of physical resources and social supports on primary food providers’ snack food provision: a discrete choice experiment

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Brittany J. Johnson ◽  
Rebecca K. Golley ◽  
Dorota Zarnowiecki ◽  
Gilly A. Hendrie ◽  
Elisabeth K. Huynh
Keyword(s):  
Discrete Choice ◽  
Significant Influence ◽  
Choice Experiment ◽  
Social Supports ◽  
Social Condition ◽  
Parent Support ◽  
Relative Importance ◽  
Utility Weight ◽  
Physical Resources ◽  
Choice Tasks

Abstract Background Snack eating occasions contribute approximately a third of children’s energy intake, with approximately half of all unhealthy foods consumed during snack times. Therefore, it is critical to understand the drivers of primary food providers’ snack provision. The study aims were to determine the relative importance of physical resources and social supports when primary food providers are choosing snacks to provide to their child, and to investigate how these attributes differ in social versus non-social occasions, and between subgroups of primary food providers based on socio-economic position. Methods Primary food providers of three to seven-year olds completed an online discrete choice experiment, by making trade-offs when completing repeated, hypothetical choice tasks on the choice of snacks to provide to their child in: 1) non-social and 2) social condition. Choice tasks included two alternatives consisting of varying attribute (i.e. factor) levels, and an opt-out option. The order of conditions shown were randomized across participants. Multinomial logit model analyses were used to determine utility weights for each attribute. Results Two-hundred and twenty-five primary food providers completed the study, providing 1125 choice decisions per condition. In the non-social condition, the top three ranked attributes were type of food (utility weight 1.94, p < 0.001), child resistance (− 1.62, p < 0.001) and co-parent support (0.99, p < 0.001). In the social condition, top ranking attributes were child resistance (utility weight − 1.50, p < 0.001), type of food (1.38, p < 0.001) and co-parent support (1.07, p < 0.001). In both conditions, time was not a significant influence and cost was of lowest relative importance. Subgroup analyses revealed cost was not a significant influence for families from higher socio-economic backgrounds. Conclusions Type of food, child resistance and co-parent support were of greatest relative importance in primary food providers’ snack provision decision-making, regardless of social condition or socio-economic position. In designing future interventions to reduce unhealthy snacks, researchers should prioritize these influences, to better support primary food providers in changing their physical and social opportunity. Trial registration Australian New Zealand Clinical Trials Registry no. ACTR N12618001173280

scholarly journals International survey: real-world pain management strategies

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M Hagen ◽  
A Georgescu
Keyword(s):  
Pain Management ◽  
Real World ◽  
Pain Control ◽  
Online Survey ◽  
Management Strategies ◽  
Pain Medication ◽  
International Survey ◽  
Nationally Representative ◽  
Online Panels ◽  
Control Pain

Abstract Background Pain is a nearly universal experience, but little is known about how people treat pain. This international survey assessed real-world pain management strategies. Methods From 13-31 January, 2020, an online survey funded by GSK Consumer Healthcare was conducted in local languages in Australia, Brazil, Canada, China, Colombia, France, Germany, India, Italy, Japan, Saudi Arabia, Malaysia, Mexico, Poland, Russia, Spain, Sweden, UK, and USA. Adults were recruited from online panels of people who agreed to participate in surveys. Quotas ensured nationally representative online populations based on age, gender, and region. Results Of 19,000 people (1000/country) who completed the survey, 18,602 (98%) had ever experienced physical pain; 76% said they would like to control their pain better. Presented with 17 pain-management strategies and asked to select the ones they use in the order of use, respondents chose an average of 4 strategies each. The most commonly selected strategies were pain medication (65%), rest/sleep (54%), consult a doctor (31%), physical therapy (31%), and nonpharmacologic action (eg, heat/cold application; 29%). Of those who use pain medication, 56% take some other action first. Only 36% of those who treat pain do so immediately; 56% first wait to see if it will resolve spontaneously. Top reasons for waiting include a desire to avoid medication (37%); willingness to tolerate less severe pain (33%); concerns about side effects (21%) or dependency (21%); and wanting to avoid a doctor's visit unless pain is severe or persistent (21%). Nearly half (42%) of those who take action to control pain have visited ≥1 healthcare professional (doctor 31%; pharmacist 18%; other 17%) about pain. Conclusions This large global survey shows that people employ a range of strategies to manage pain but still wish for better pain control. Although pain medication is the most commonly used strategy, many people postpone or avoid its use. Key messages More than three-quarters (76%) of respondents across countries seek better pain control. Pain medication and rest/sleep consultation are the most common pain management strategies. More than half of respondents (56%) wait to see if pain will resolve spontaneously before taking any action, and 56% of those who use pain medication try some other approach first.

scholarly journals Understanding public preferences and trade-offs for government responses during a pandemic: a protocol for a discrete choice experiment in the UK

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e043477
Author(s):  
Mesfin G Genie ◽  
Luis Enrique Loría-Rebolledo ◽  
Shantini Paranjothy ◽  
Daniel Powell ◽  
Mandy Ryan ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Online Survey ◽  
Research Unit ◽  
Media Analysis ◽  
Moral Foundation ◽  
Trade Offs ◽  
Ethics Research ◽  
The Uk

IntroductionSocial distancing and lockdown measures are among the main government responses to the COVID-19 pandemic. These measures aim to limit the COVID-19 infection rate and reduce the mortality rate of COVID-19. Given we are likely to see local lockdowns until a treatment or vaccine for COVID-19 is available, and their effectiveness depends on public acceptability, it is important to understand public preference for government responses.Methods and analysisUsing a discrete choice experiment (DCE), this study will investigate the public’s preferences for pandemic responses in the UK. Attributes (and levels) are based on: (1) lockdown measures described in policy documents; (2) literature on preferences for lockdown measures and (3) a social media analysis. Attributes include: lockdown type; lockdown length; postponement of usual non-urgent medical care; number of excess deaths; number of infections; impact on household spending and job losses. We will prepilot the DCE using virtual think aloud interviews with respondents recruited via Facebook. We will collect preference data using an online survey of 4000 individuals from across the four UK countries (1000 per country). We will estimate the relative importance of the attributes, and the trade-offs individuals are willing to make between attributes. We will test if respondents’ preferences differ based on moral attitudes (using the Moral Foundation Questionnaire), socioeconomic circumstances (age, education, economic insecurity, health status), country of residence and experience of COVID-19.Ethics and disseminationThe University of Aberdeen’s College Ethics Research Board (CERB) has approved the study (reference: CERB/2020/6/1974). We will seek CERB approval for major changes from the developmental and pilot work. Peer-reviewed papers will be submitted, and results will be presented at public health and health economic conferences nationally and internationally. A lay summary will be published on the Health Economics Research Unit blog.

scholarly journals People’s Avoidance of Neighboring Agricultural Urban Green Infrastructure: Evidence from a Choice Experiment

2021 ◽  
Vol 13 (12) ◽  
pp. 6930
Author(s):  
Shinsuke Kyoi
Keyword(s):  
Spatial Econometrics ◽  
Green Infrastructure ◽  
Urban Areas ◽  
Choice Experiment ◽  
Online Survey ◽  
Agricultural Land ◽  
Residential Areas ◽  
Urban Green ◽  
Ishikawa Prefecture ◽  
Urban Green Infrastructure

This study evaluates people’s preferences regarding the proximity of their residence to agricultural urban green infrastructure (UGI), such as agricultural land and satoyama, and discusses the availability of these types of land as UGI. UGI is vital for reducing the negative environmental impacts of urban areas, as these impacts are too large to ignore. In this study, we conducted an online survey and a choice experiment to investigate people’s perceptions regarding the proximity of their residence to agricultural UGI (AUGI). The respondents of the choice experiment were 802 inhabitants of Ishikawa Prefecture, Japan, which has rich agricultural resources. To examine explicitly the spatial autocorrelation of people’s preferences, in this study, we used the spatial econometrics method. The main empirical findings are that people prefer agricultural land far away from their residence—more than 1000 m, not within 1000 m—which reflects the not-in-my-backyard phenomenon. Meanwhile, people’s preferences regarding proximity to satoyama are complicated and their preferences are positively spatially autocorrelated. The results indicate that policymakers and urban planners should manage and provide AUGI far away from residential areas; otherwise, they must address people’s avoidance of neighboring AUGI.

Sign in / Sign up

Export Citation Format

Share Document