Representativeness in panel surveys

Bianchi, Annamaria; Biffignandi, Silvia

doi:10.1080/08898480.2016.1271650

Cited by 10 publications

(5 citation statements)

References 27 publications

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“…Postcards buyers still exist; generally they are computer illiterate people or children (Gilli and Pedrotti, personal communications), so postcard buyers after the year 2010 would not be a representative sample of the population. This is known in the marketing sector, as online surveys are more likely to reach the new generations compared to older people with limited access to the Internet [48].…”

Section: Cultural Es: Aesthetic Value From Postcardsmentioning

confidence: 99%

The Landscape Change in the Alps—What Postcards Have to Say about Aesthetic Preference

et al. 2021

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Land use changes in the Alps over the last few decades have been characterised by a significant increase in forest coverage as a result of the abandonment of marginal agricultural sites. Natural afforestation and species protection laws affected the ecosystem, and therefore the services provided by the mountain environment, including landscape structure and aesthetics, changed. This work assess the changes in the ecosystem services offered by forests since 1954 in a region of the Italian Alps. Some ES were estimated in this work with GIS, and others were taken from the literature or the authors’ previous works. Since the 1950s, forest ecosystem services such as growing stock, protection from hydro-geological hazards and carbon storage have increased. Deer and other forest species have risen in number. On the other hand, there has been a depletion of open space for priority habitats and species such as black grouse and capercaillie. Old postcards were used to understand land use change and people’s aesthetic preferences. To determine people’s preferences for the landscape, we used records of over 300,000 postcards, sold during nearly two decades. The most often chosen postcard portrayed a landscape of the 1970s with a mix of forest and open space, different from the scenario that the buyers could observe. The sales records for over 20 years of postcard business and the dates of the postcards that we obtained in this research allowed us to perform a quantitative analysis of landscape preferences. The main subject of the photo was a good predictor of the number of postcards sold, according to generalised linear models (GLM); and postcards of overly exploited landscapes, dense forest coverage or buildings were significantly less likely to be chosen. Artificially reinstating open areas will boost biodiversity and could recreate a landscape that resembles the historical agro-ecosystem without interfering with the forest’s other functions. These findings will help managers and policy makers evaluate cultural ecosystem resources in the face of changing mountain landscapes.

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Section: Cultural Es: Aesthetic Value From Postcardsmentioning

confidence: 99%

The Landscape Change in the Alps—What Postcards Have to Say about Aesthetic Preference

et al. 2021

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“…R-indicators can also be used as indicators for representativeness in panel studies (Schouten et al 2012). Bianchi and Biffignandi (2017) used R-indicators to compare the panel sample of the UK household longitudinal study Understanding Society over waves with administrative data to assess population representativeness. In sum, they showed that R-indicators were a valuable measure of representativeness.…”

Section: Analytical Approachmentioning

confidence: 99%

Evolution of the Initially Recruited SHARE Panel Sample Over the First Six Waves

Friedel

Birkenbach

2020

Journal of Official Statistics

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Attrition is a frequently observed phenomenon in panel studies. The loss of panel members over time can hamper the analysis of panel survey data. Based on data from the Survey of Health, Ageing and Retirement in Europe (SHARE), this study investigates changes in the composition of the initially recruited first-wave sample in a multi-national face-to-face panel survey of an older population over waves. By inspecting retention rates and R-indicators, we found that, despite declining retention rates, the composition of the initially recruited panel sample in Wave 1 remained stable after the second wave. Thus, after the second wave there is no further large decline in representativeness with regard to the first wave sample. Changes in the composition of the sample after the second wave over time were due mainly to mortality-related attrition. Non-mortality-related attrition had a slight effect on the changes in sample composition with regard to birth in survey country, area of residence, education, and social activities. Our study encourages researchers to investigate further the impact of mortality- and non-mortality-related attrition in multi-national surveys of older populations.

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“…Attrition rates are highest at the second wave and then tend to decline over time (Lugtig 2014;Schoeni et al 2013;Uhrig 2008). There is also evidence that the correlates of nonresponse may change over waves of a survey (Farrant and O'Muircheartaigh 1991) and that changes in correlates of nonresponse at each subsequent wave are lower compared to the previous one (Bianchi and Biffignandi 2017a).…”

Section: Introductionmentioning

confidence: 99%

Social Indicators to Explain Response in Longitudinal Studies

Bianchi

Biffignandi

2018

Soc Indic Res

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Economic and social studies use longitudinal panels to estimate change in variables and aggregates of interest. Attrition in such studies may threaten the validity of the estimates from the panels. This study deepens the knowledge on attrition making reference to three waves of the UK Household Longitudinal Study. While traditionally participation behaviour in panel surveys has been mostly studied with reference to socio-demographic variables and not distinguishing different components of the response process, the focus here is on the role of social indicators and personality traits in explaining contact and cooperation, beyond demographic variables. Findings show that some indicators of community attachment affect the likelihood of making contact with members of the panel and indicators of social participation are significant in explaining cooperation given contact.Personality factors and well-being related variables turn out not to be significant factors.

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Representativeness in panel surveys

Cited by 10 publications

References 27 publications

The Landscape Change in the Alps—What Postcards Have to Say about Aesthetic Preference

The Landscape Change in the Alps—What Postcards Have to Say about Aesthetic Preference

Evolution of the Initially Recruited SHARE Panel Sample Over the First Six Waves

Social Indicators to Explain Response in Longitudinal Studies

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