Attrition in a Longitudinal Online Randomized Controlled Trial with Prospective Homeowners

Chin, Alycia; Couper, Mick P.; Beckett, Dustin

doi:10.1177/1525822x20948308

Cited by 3 publications

(6 citation statements)

References 44 publications

(55 reference statements)

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“…The literature is also inconsistent on the effect of race groups on attrition. Studies have found higher dropout rates for Blacks, Asians, American Indians or Alaska Natives, and multiple race groups in various settings but another study reported no such relationship [ 15 , 16 , 18 , 21 , 22 ]. Although unclear from our data, it is possible that the change in the specific association between race group and attrition during different time periods results from heterogeneous COVID-19 shock on different race groups.…”

Section: Discussionmentioning

confidence: 99%

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: Discussionmentioning

confidence: 99%

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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“…• age (Chin, Couper, & Beckett, 2020;Daniels, Ingle, & Brophy, 2020;Lugtig, 2014;Watson & Wooden, 2009),…”

Section: Introductionunclassified

“…• marital status (Cheng et al, 2018;Chin et al, 2020;Fitzgerald, Gottschalk, & Moffitt, 1998;Watson & Wooden, 2009),…”

Section: Introductionmentioning

confidence: 99%

“…• level of education, with those having lower education being more likely to be nonresponders (Barber, Kusunoki, Gatny, & Schulz, 2016;Chin et al, 2020;Lugtig, 2014;Rothbaum & Bee, 2020;Watson & Wooden, 2009),…”

Section: Introductionmentioning

confidence: 99%

“…• income and employment (Cheng et al, 2018;Chin et al, 2020;Daniels et al, 2020;Fitzgerald et al, 1998;Rothbaum & Bee, 2020;Watson & Wooden, 2009). The ANU Centre for Social Research and Methods…”

Section: Introductionmentioning

confidence: 99%

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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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A study of virtual reality and the empathetic experience in Australian secondary students

Phillips,

Jarden,

Bowles

2024

Aust. Educ. Res.

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Empathy is a key contributor to moral, pro-social behaviour and an important element of socio-emotional learning (SEL). Schools deliver SEL programmes during adolescence to develop a range of skills including empathy. As education becomes increasingly digital, more research is needed to understand the role digital technologies may play in students’ empathy development. Virtual reality (VR) has been touted as a possible way to provide more realistic experiences to enhance empathy. To investigate this, an intervention of an empathy-provoking documentary (Clouds over Sidra) was shown to adolescents aged 13 to 15 years using either virtual reality (n = 63) or 2D projection (n = 53). Participants completed the Adolescent Measure of Empathy and Sympathy (AMES survey) before (time 1), immediately (time 2) and two weeks (time 3) after viewing the documentary. There was no difference in empathy between the 2D and VR conditions. However, for both conditions, there was an increase in empathy immediately after viewing the documentary but not at the two week follow-up. The results suggest that while empathy could temporarily increase when one is exposed to a novel emotive experience, a one-time intervention does not appear to produce a lasting change. This is an important consideration for schools in considering virtual reality technology for use in SEL.

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Attrition in a Longitudinal Online Randomized Controlled Trial with Prospective Homeowners

Cited by 3 publications

References 44 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

A study of virtual reality and the empathetic experience in Australian secondary students

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