COVID-19 Survey Participation and Wellbeing: A Survey Experiment

Sollis, Kate; Biddle, Nicholas; Edwards, Ben; Herz, Diane

doi:10.1177/15562646211019659

Cited by 6 publications

(5 citation statements)

References 16 publications

(47 reference statements)

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“…We found that higher EQ-5D-5L VAS score was predictive of the attrition at wave 3. This result differs from the literature in which one study reported higher participation at multiple time points among cancer survivors with higher HRQoL scores measured by the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and another study reported no significant association between survey participation and subjective well-being rated on a 0–10 scale [ 24 , 25 ]. One possible explanation for this counter-intuitive relationship is that the EQ-5D-5L VAS score may be capturing some unidentified aspect of HRQoL that negatively affected the survey participation.…”

Section: Discussioncontrasting

confidence: 93%

Predicting panel attrition in longitudinal HRQoL surveys during the COVID-19 pandemic in the US

Chen

et al. 2022

Health Qual Life Outcomes

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Background Online longitudinal surveys may be subject to potential biases due to sample attrition. This study was designed to identify potential predictors of attrition using a longitudinal panel survey collected during the COVID-19 pandemic. Methods Three waves of data were collected using Amazon Mechanical Turk (MTurk), an online crowd-sourced platform. For each wave, the study sample was collected by referencing a US national representative sample distribution of age, gender, and race, based on US census data. Variables included respondents’ demographics, medical history, socioeconomic status, COVID-19 experience, changes of health behavior, productivity, and health-related quality of life (HRQoL). Results were compared to pre-pandemic US norms. Measures that predicted attrition at different times of the pandemic were identified via logistic regression with stepwise selection. Results 1467 of 2734 wave 1 respondents participated in wave 2 and, 964 of 2454 wave 2 respondents participated in wave 3. Younger age group, Hispanic origin (p ≤ 0.001) and higher self-rated survey difficulty (p ≤ 0.002) consistently predicted attrition in the following wave. COVID-19 experience, employment, productivity, and limited physical activities were commonly observed variables correlated with attrition with specific measures varying by time periods. From wave 1, mental health conditions, average daily hours worked (p = 0.004), and COVID-19 impact on work productivity (p < 0.001) were associated with a higher attrition rate at wave 2, additional to the aforementioned factors. From wave 2, support of social distancing (p = 0.032), being Republican (p < 0.001), and having just enough money to make ends meet (p = 0.003) were associated with predicted attrition at wave 3. Conclusions Attrition in this longitudinal panel survey was not random. Besides commonly identified demographic factors that contribute to panel attrition, COVID-19 presented novel opportunities to address sample biases by correlating attrition with additional behavioral and HRQoL factors in a constantly evolving environment. While age, ethnicity, and survey difficulty consistently predicted attrition, other factors, such as COVID-19 experience, changes of employment, productivity, physical health, mental health, and financial situation impacted panel attrition during the pandemic at various degrees.

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Section: Discussioncontrasting

confidence: 93%

Predicting panel attrition in longitudinal HRQoL surveys during the COVID-19 pandemic in the US

Chen

et al. 2022

Health Qual Life Outcomes

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“…The first two variables in Table 3 relate to two questions we asked at the end of the first of our COVID-19 surveys -on a scale of 0-10 the extent to which the survey was distressing, and on a scale of 0 to 10 the extent to which respondents were glad they participated in the survey. These variables have been analysed in Sollis et al (2020).…”

Section: The Role Of Early-covid Experience In Survey Participationmentioning

confidence: 99%

Determinants of participation in a longitudinal survey during the COVID-19 pandemic: the case of a low-infection country

Biddle

Sollis

2023

Longitudinal and Life Course Studies

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A large-scale crisis, such as the COVID-19 pandemic, has the potential to affect non-response in cross-sectional and longitudinal surveys. This study utilises a longitudinal survey, conducted prior to and during the COVID-19 pandemic, to examine the factors associated with participation in longitudinal surveys during the COVID-19 period, and how this has changed from prior to the pandemic. We find that a number of demographic groups are more likely to be non-responders to COVID-19 surveys, despite having completed pre-COVID surveys, as well as a number of other economic and personality factors. Reassuringly though, there were many more factors that did not have an association. The findings also highlight that two simple questions (with a low time cost) on subjective survey experience early in the pandemic were highly useful in predicting future survey participation. These findings can help to support survey practitioners and data collection companies to develop more robust response improvement strategies during the COVID-19 period.

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“…Some research exploring the emotional impacts of mental health service users using the tools reports little evidence that filling in a questionnaire causes further distress and finds that people accept surveys and may find them useful (Willebrand et al, 2004;Yeater et al, 2012). Nevertheless, practitioners and researchers are encouraged to pay attention to the potential affective impacts on participants who take part in surveys (Jorm et al, 1994;Sollis et al, 2020).…”

Section: Mental Health Surveys and Social Issuesmentioning

confidence: 99%

‘Should we even have questions?’ From survey to exhibition – co-producing research about ‘mental health’ with carers and adults with learning disabilities

Runswick-Cole,

Smith,

Ryan

et al. 2024

International Journal of Care and Caring

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Carers’ mental health is often the focus of policy and research in Global North contexts. Research exploring carers’ views often uses survey methods to collect information about their experiences and views of services and support. However, the experiences of adult carers of adults with learning disabilities have often been marginalised within these domains. Here, we report on how, working together with family carers, we disrupted survey methods and generated new insights into what matters to family carers when sharing their experiences of care, mental health, services and support, as well as the crucial role of co-production in this research.

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COVID-19 Survey Participation and Wellbeing: A Survey Experiment

Cited by 6 publications

References 16 publications

Predicting panel attrition in longitudinal HRQoL surveys during the COVID-19 pandemic in the US

Predicting panel attrition in longitudinal HRQoL surveys during the COVID-19 pandemic in the US

Determinants of participation in a longitudinal survey during the COVID-19 pandemic: the case of a low-infection country

‘Should we even have questions?’ From survey to exhibition – co-producing research about ‘mental health’ with carers and adults with learning disabilities

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