Web based health surveys: Using a Two Step Heckman model to examine their potential for population health analysis

Morrissey, Karyn; Kinderman, Peter; Pontin, Eleanor; Tai, Sara; Schwannauer, Matthias

doi:10.1016/j.socscimed.2016.06.053

Cited by 26 publications

(23 citation statements)

References 54 publications

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“…The surveys and experiments were advertised on BBC media outlets, such as their website, radio and television shows (Rentfrow, Jokela, & Lamb, 2015). The studies, for example the “Big Personality Test” (Rentfrow et al, 2015), were designed by academic researchers and targeted different aspects of psychology, sociology and health (Morrissey, Kinderman, Pontin, Tai, & Schwannauer, 2016). Ethical approval was obtained by the researchers who conceived the studies (Lane et al, 2016).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Associations between self-esteem and smoking and excessive alcohol consumption in the UK: A cross-sectional study using the BBC UK Lab database

Szinay

Tombor

Garnett

et al. 2019

Addictive Behaviors Reports

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Section: Methodsmentioning

confidence: 99%

“…Every participant had a unique identifier which allowed them to participate only once. All participants gave their consent prior to participation (Morrissey et al, 2016) and online feedback was provided on their results (Rentfrow et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Associations between self-esteem and smoking and excessive alcohol consumption in the UK: A cross-sectional study using the BBC UK Lab database

Szinay

Tombor

Garnett

et al. 2019

Addictive Behaviors Reports

View full text Add to dashboard Cite

show abstract

“…Heckman's two-stage model was developed by James Heckman who taught at the University of Chicago from 1976 to 1979, and was awarded the Nobel Prize in Economics for the model in 2000 [50]. Heckman's two-stage model could effectively correct the selectivity deviation, which is a unique problem of econometrics [51]. In addition, we can utilize the model to analyze the factors affecting the residents' WTP and their payout level [52].…”

Section: Heckman's Two-stage Modelmentioning

confidence: 99%

Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin

et al. 2018

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China has continuously stepped up its efforts to protect the ecological environment of the Ganjiang River Basin. The government has played a leading role, but the residents, who have also played an important role in this issue, are often overlooked. Consequently, it is necessary and urgent to study the willingness of the residents, who are the direct stakeholders, to pay for the protection of the ecological environment of the Ganjiang River Basin. Based on a survey of 773 households, this study examines the downstream residents' willingness to pay (WTP) and their payout levels. Using the payment card (PC) contingent valuation method (CVM), we measure the payment probability of the downstream residents and the amount they are willing to pay. Additionally, Heckman's two-stage model is adopted for exploring the influencing factors of the surveyed residents' WTP and payout levels and avoiding the possible presence of sample selection bias. The results showed that 75.03% of the surveyed residents are willing to pay for ecological compensation in the Ganjiang River Basin. The downstream residents are willing to pay an annual average amount of about $47.62/household for ecological compensation. The factors that significantly influence their WTP include the educational background, work type, residential location, and water quality and quantity. In the case of payout levels, the influencing factors include the education background, work type, household annual disposable income, and water quality and quantity. In addition, the factor of value recognition is marginal and significantly related to WTP and payout levels. The results of this empirical study have important policy implications and recommendations that the government should intensify its propaganda about the ecological value, increase investment in education, and establish a variety of ecological compensation payments, in order to protect and improve the ecological environment of the Ganjiang River Basin.

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“…In this application, participation in the survey was voluntary, incentivized by an iPad prize, resulting in what is known as a non-probability-based convenience sample. Voluntary Internetbased surveys, like this, have seen a rapid recent increase in their implementation due to their reduced cost and increased speed of data collection, compared with more conventional stratified sampling methods (Morrissey et al, 2016). Correcting for sample bias is complicated by the lack of information about the sampling mechanism and how it should be represented in model inference.…”

Section: Discussionmentioning

confidence: 99%

‘What Drives Commuter Behaviour?’: A Bayesian Clustering Approach for Understanding Opposing Behaviours in Social Surveys

Dawkins

Williamson

Barr

et al. 2019

Journal of the Royal Statistical Society Series A: Statistics in Society

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Summary The city of Exeter, UK, is experiencing unprecedented growth, putting pressure on traffic infrastructure. As well as traffic network management, understanding and influencing commuter behaviour is important for reducing congestion. Information about current commuter behaviour has been gathered through a large on‐line survey, and similar individuals have been grouped to explore distinct behaviour profiles to inform intervention design to reduce commuter congestion. Statistical analysis within societal applications benefit from incorporating available social scientist expert knowledge. Current clustering approaches for the analysis of social surveys assume that the number of groups and the within‐group narratives are unknown a priori. Here, however, informed by valuable expert knowledge, we develop a novel Bayesian approach for creating a clear opposing transport mode group narrative within survey respondents, simplifying communication with project partners and the general public. Our methodology establishes groups characterizing opposing behaviours based on a key multinomial survey question by constraining parts of our prior judgement within a Bayesian finite mixture model. Drivers of group membership and within‐group behavioural differences are modelled hierarchically by using further information from the survey. In applying the methodology we demonstrate how it can be used to understand the key drivers of opposing behaviours in any wider application.

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Web based health surveys: Using a Two Step Heckman model to examine their potential for population health analysis

Cited by 26 publications

References 54 publications

Associations between self-esteem and smoking and excessive alcohol consumption in the UK: A cross-sectional study using the BBC UK Lab database

Associations between self-esteem and smoking and excessive alcohol consumption in the UK: A cross-sectional study using the BBC UK Lab database

Analysis of the Factors Influencing Willingness to Pay and Payout Level for Ecological Environment Improvement of the Ganjiang River Basin

‘What Drives Commuter Behaviour?’: A Bayesian Clustering Approach for Understanding Opposing Behaviours in Social Surveys

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