Leveraging social media to rapidly recruit a sample of young adults aging out of foster care: Methods and recommendations

Gabrielli, Joy; Borodovsky, Jacob T.; Corcoran, Erin; Sink, Leah

doi:10.1016/j.childyouth.2020.104960

Cited by 2 publications

(3 citation statements)

References 19 publications

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“…The $0 incentive condition was selected to evaluate the extent to which bots engage in research studies without compensation. The $1 and $5 incentive conditions were informed by past research documenting experiences with bots (e.g., MTurk, online research) during recruitment (Gabrielli et al, 2020; Ophir et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

A quasi-experimental study examining the efficacy of multimodal bot screening tools and recommendations to preserve data integrity in online psychological research.

Simone

Cascalheira

Pierce³

2023

American Psychologist

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Bots are automated software programs that pose an ongoing threat to psychological research by invading online research studies and their increasing sophistication over time. Despite this growing concern, research in this area has been limited to bot detection in existing data sets following an unexpected encounter with bots. The present three-condition, quasi-experimental study aimed to address this gap in the literature by examining the efficacy of three types of bot screening tools across three incentive conditions ($0, $1, and $5). Data were collected from 444 respondents via Twitter advertisements between July and September 2021. The efficacy of five task-based (i.e., anagrams, visual search), question-based (i.e., attention checks, ReCAPTCHA), and data-based (i.e., consistency, metadata) tools was examined with Bonferroni-adjusted univariate and multivariate logistic regression analyses. In general, study results suggest that bot screening tools function similarly for participants recruited across incentive conditions. Moreover, the present analyses revealed heterogeneity in the efficacy of bot screening tool subtypes. Notably, the present results suggest that the least effective bot screening tools were among the most commonly used tools in existing literature (e.g., ReCAPTCHA). In sum, the study findings revealed highly effective and highly ineffective bot screening tools. Study design and data integrity recommendations for researchers are provided.

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Section: Methodsmentioning

confidence: 99%

A quasi-experimental study examining the efficacy of multimodal bot screening tools and recommendations to preserve data integrity in online psychological research.

Simone

Cascalheira

Pierce³

2023

American Psychologist

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“…These data were collected and stored separately from the research data. Research shows that such lottery-based incentive systems are effective in making surveys less appealing to bot interference (Borodovsky et al, 2018; Gabrielli et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

“…We carefully reviewed open-ended question text input to ensure that responses matched what an eligible survey participant might say and were congruent with their previous answers. These strategies were implemented to increase the likelihood that respondents completing the survey were human and not programmed "bots" (Gabrielli et al, 2020). To further ensure the integrity of our data, we used Qualtrics' "Prevent Ballot Box Stuffing" function that prevents multiple responses from the same device and web browser.…”

Section: Data Integritymentioning

confidence: 99%

The experiences of older youth in and aged out of foster care during the COVID-19 pandemic: Material and financial well-being by foster care status, gender identity, sexual orientation, ethnicity, and race.

Greeson¹,

Gyourko²,

Jaffee

et al. 2022

American Journal of Orthopsychiatry

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As a marginalized, underresourced population, older youth with foster care experience are acutely vulnerable to the economic and social harms wrought by coronavirus disease 2019 (COVID-19). This study summarizes findings from an online survey deployed in April 2020 to learn about the experiences of current and former foster youth (ages 18–23) during 1 month of the COVID-19 crisis. Using snowball sampling and a cross-sectional design, the survey yielded a final analysis sample of 281 respondents from 32 states and 192 cities or districts. Findings underscore the pervasive negative impacts of COVID-19 on respondents’ housing/living situations, food security, employment, and financial stability. Chi-square tests and post hoc analyses revealed demographic disparities in respondents’ experiences during COVID-19. Youth who aged out of care, cisgender females, nonstraight youth, and non-White youth were significantly more likely than demographic counterparts to experience pandemic-related adversities. Implications for policy and practice are discussed.

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Leveraging social media to rapidly recruit a sample of young adults aging out of foster care: Methods and recommendations

Cited by 2 publications

References 19 publications

A quasi-experimental study examining the efficacy of multimodal bot screening tools and recommendations to preserve data integrity in online psychological research.

A quasi-experimental study examining the efficacy of multimodal bot screening tools and recommendations to preserve data integrity in online psychological research.

The experiences of older youth in and aged out of foster care during the COVID-19 pandemic: Material and financial well-being by foster care status, gender identity, sexual orientation, ethnicity, and race.

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