A Compendium of Web and Mobile Survey Pretesting Methods

Geisen, Emily; Murphy, Joe

doi:10.1002/9781119263685.ch12

Cited by 13 publications

(11 citation statements)

References 34 publications

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“…Las pruebas de consistencia interna y validez estructural son también avales de una correcta cumplimentación. Sin embargo, este método de recogida de información ha ido adquiriendo un interés creciente y su uso se considera habitual en la investigación psicosociológica (Geisen y Murphy, 2020). Futuros estudios deben buscar métodos de muestreo que permitan generalizar los resultados.…”

Section: Discussionunclassified

El modelo UPPS de impulsividad en el abuso de las Tecnologías de la Información y la Comunicación (TIC)

et al. 2020

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Section: Discussionunclassified

El modelo UPPS de impulsividad en el abuso de las Tecnologías de la Información y la Comunicación (TIC)

et al. 2020

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“…Yet, its current influence on demography and future opportunities for demography may be greater than they appear. Crowdsourced samples are excellent for testing survey designs prior to their deployment via more costly, representative samples, or as preliminary data included in grant applications (Geisen & Murphy, 2020). The demographic diversity present on these platforms makes them useful for targeting specific subpopulations, though these subpopulations may not be representative (Ogletree & Katz, 2020).…”

Section: Crowdsourced Platform Recruitmentmentioning

confidence: 99%

Digital and computational demography

Kashyap¹,

Rinderknecht²,

Alburez-Gutiérrez³

et al. 2023

Research Handbook on Digital Sociology

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Digital and computational demography explores demography in relation to the digital revolutionthe rapid technological improvements in digitized information storage, computational power and the spread of the internet and mobile technologies since the turn of the new millennium. We cover three ways in which the digital revolution touches upon demography. First, we discuss how digital technologies, through their impacts on daily lives and in shifting how individuals access information, communicate and access services, have implications for demographic outcomes linked to health and mortality, fertility and family, and migration. Second, we discuss how the digital revolution has created a wide range of new data sources such as digital trace and geospatial data that can be repurposed for demographic research, and enabled respondent recruitment across the world via the internet and social media. Third, we discuss how improvements in computational power have facilitated the use of computational methods such as microsimulation and agent-based modelling as well as machine learning techniques for demographic applications. We conclude by discussing future opportunities and challenges for digital demography.

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“…This format permitted greater geographical diversity and greater access to the cognitive interviews for this group of busy high school students compared to a more traditional in-person cognitive interviewing mode. 30 Verbal consent to take part in the study was obtained from youth aged 18 or over (all interviewees resided in states where the age of majority was 18). For minors, written consent was first obtained from a parent or guardian, followed by verbal assent from the youth.…”

Section: Cognitive Testingmentioning

confidence: 99%

Development and Cognitive Testing of Occupational Safety and Health Questions for a Youth Survey: Addressing the Research Needs for a Vulnerable Working Population

Shockey,

Silver,

Wilmot

2023

Journal of School Health

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BACKGROUNDWhile more than 2.5 million U.S. high students worked in 2020, data to assess how work affects this group are sparse. To facilitate such research, a set of occupational safety and health questions for inclusion on the Youth Risk Behavior Surveillance System (YRBSS) and other youth‐focused surveys was developed.METHODSSurvey questions about occupational experiences of young workers were adapted from other surveys or created de novo. Key audiences were engaged to define priority topic areas and develop draft questions, which were further refined through cognitive interviews with working youth.RESULTSTwenty‐one resulting questions spanned multiple work‐related topics: employment status; health outcomes; psychosocial exposures; and safety climate. Cognitive testing revealed that youth (aged 14‐19) had difficulty with temporal concepts. Some difficulties reflected the propensity of youth to engage in multiple, online, and informal jobs. During 3 rounds of interviews, questions were adjusted to better reflect youth employment circumstances and language. Four states added at least 1 work‐related question to their 2023 Youth Risk Behavior Survey questionnaire, and the full set of questions has been disseminated to federal agencies and partners.CONCLUSIONIncluding tailored questions about employment in surveys of youth will facilitate occupational health surveillance for this group. Analysis of resulting data can help to close knowledge gaps, provide current prevalence data, inform policy, and allow development of focused prevention and intervention strategies to reduce adverse outcomes among young workers.

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A Compendium of Web and Mobile Survey Pretesting Methods

Cited by 13 publications

References 34 publications

El modelo UPPS de impulsividad en el abuso de las Tecnologías de la Información y la Comunicación (TIC)

El modelo UPPS de impulsividad en el abuso de las Tecnologías de la Información y la Comunicación (TIC)

Digital and computational demography

Development and Cognitive Testing of Occupational Safety and Health Questions for a Youth Survey: Addressing the Research Needs for a Vulnerable Working Population

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