““True” Longitudinal and Probability-Based Internet Panels: Evidence From the Netherlands

Scherpenzeel, Annette; Das, J.W.M.

doi:10.4324/9780203844922-4

Cited by 172 publications

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“…Data for this study came from the Longitudinal Internet Studies for the Social Sciences (LISS) panel, which has followed a representative sample of the Dutch population from 2008 to 2014 (Scherpenzeel, & Das, ). We used data from all LISS participants in the 2008, 2010, and 2012 cohorts who completed the personality survey (total N = 9,636; 2008 cohort N = 6,949; 2010 cohort N = 1,463; 2012 cohort N = 1,224).…”

Section: Methodsmentioning

confidence: 99%

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Individual differences in personality change across the adult life span

Schwaba

Bleidorn

2017

Journal of Personality

158

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Section: Methodsmentioning

confidence: 99%

“…Our final sample of 9,636 participants ranged from ages 16 to 84 at the first measurement occasion ( M = 49.94, SD = 16.98). For more information on LISS panel characteristics, see Scherpenzeel and Das ().…”

Section: Methodsmentioning

confidence: 99%

Individual differences in personality change across the adult life span

Schwaba

Bleidorn

2017

Journal of Personality

158

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“…Recruitment was by repeated contact via phone and/or in person, resulting in an enrolment rate of 48% of the total initial sample, including households with no pre-existing internet connection. Scherpenzeel and Das19 find that the LISS sample compares favourably with high-standard traditional surveys, with the exception that the LISS slightly underweights the elderly and those without internet connections—two subpopulations that overlap significantly (see Scherpenzeel and Das19 or http://www.lissdata.nl). …”

Section: Methodsmentioning

confidence: 99%

Smoking status and subjective well-being

Weinhold

Chaloupka²

2016

Tob Control

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Abstract:Background/aims: A debate is currently underway about the FDA's methods for evaluating anti-tobacco regulation. In particular, the US government requires a costbenefit analysis for significant new regulations, which has led the FDA to consider potential lost subjective well-being (SWB) of ex-smokers as a cost of any proposed anti-tobacco policy. This practice, which significantly limits regulatory capacity, is premised on the assumption that there is in fact a loss in SWB among ex-smokers. Methods:We analyze the relationship between SWB and smoking status using a longitudinal internet survey of over 5000 Dutch adults across five years. We control for socio-economic, demographic and health characteristics, and in a contribution to the literature we additionally control for two potential confounding personality characteristics, habitual use of external substances and sensitivity to stress. In another contribution, we estimate panel fixed effects models that additionally control for unobservable time-invariant characteristics. Results:We find strong suggestive evidence that ex-smokers do not suffer a net loss in SWB. We also find no evidence that the change in SWB of those who quit smoking under stricter tobacco control policies is different from those who quit under a more relaxed regulatory environment. Furthermore, our cross-sectional estimates suggest that the increase in SWB from quitting smoking is not only statistically significant but also of a meaningful magnitude. Conclusion:In sum, we find no empirical support for the proposition that exsmokers suffer lower net subjective well-being compared to when they were smoking.Key words: smoking status, cessation, subjective well-being Word count: 3983 2 What This Study AddsWhat is known: Many smokers fear their subjective well-being will fall if they quit smoking.  The FDA's regulatory impact analysis assumes a fall in subjective well-being from policy-induced smoking cessation and proposes discounting the calculated benefits from tobacco control policies accordingly.What important gaps in knowledge exist: Existing theory cannot unambiguously predict whether subjective well-being will rise or fall with smoking cessation.  Empirical studies of the welfare effects of tobacco control policies yield mixed results. A limited literature that focuses on changes in individual subjective wellbeing associated with smoking status generally provides suggestive evidence that well-being increases after cessation, but these studies have been methodologically limited by the potential existence of unobservable confounding personality characteristics and reverse causality. What this study adds: In an advance over previous studies, we control for many more socio-economic, demographic and health-related factors, and also for two potential confounding underlying personality characteristics, a tendency towards habitual use of external substances and a sensitivity to stress.  This paper is also the first study in this literature to estimate panel data fixed effects model...

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“…Respondents of the mobility panel are part of the LISS panel (|Scherpenzeel and Das, 2010). The LISS panel consists of more than 5,000 households and in total over 8,000 respondents.…”

Section: Internet-based Prompted Recall Surveymentioning

confidence: 99%

Automatic Trip Detection with the Dutch Mobile Mobility Panel: Towards Reliable Multiple-Week Trip Registration for Large Samples

Thomas¹,

Geurs²,

Koolwaaij³

et al. 2018

Journal of Urban Technology

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This paper examines the accuracy of trip and mode choice detection of the last wave of the Dutch Mobile Mobility Panel, a large-scale three-year, smartphone-based travel survey. Departure and arrival times, origins, destinations, modes, and travel purposes were recorded during a four week period in 2015, using the MoveSmarter app for a representative sample of 615 respondents, yielding over 60 thousand trips. During the monitoring period, respondents also participated in a web-based prompted recall survey and answered additional questions. This enables a comparison between automatic detected and reported trips. Most trips were detected with no clear biases in trip length or duration, and transport modes were classified correctly for over 80 percent of these trips. There is strong evidence that smartphone-based trip detection helps to reduce underreporting of trips, which is a common phenomenon in travel surveys. In the Dutch Mobile Mobility Panel, trip rates are substantially higher than trip-diary based travel surveys in the Netherlands, in particular for business and leisure trips which are often irregular. The rate of reporting also hardly decreased during the four-week period, which is a promising result for the use of smartphones in long duration travel surveys.

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““True” Longitudinal and Probability-Based Internet Panels: Evidence From the Netherlands

Cited by 172 publications

References 0 publications

Individual differences in personality change across the adult life span

Individual differences in personality change across the adult life span

Smoking status and subjective well-being

Automatic Trip Detection with the Dutch Mobile Mobility Panel: Towards Reliable Multiple-Week Trip Registration for Large Samples

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