Background: Screen time among adults represents a continuing and growing problem in relation to health behaviors and health outcomes. However, no instrument currently exists in the literature that quantifies the use of modern screen-based devices. The primary purpose of this study was to develop and assess the reliability of a new screen time questionnaire, an instrument designed to quantify use of multiple popular screen-based devices among the US population. -/- Methods: An 18-item screen-time questionnaire was created to quantify use of (...) commonly used screen devices (e.g. television, smartphone, tablet) across different time points during the week (e.g. weekday, weeknight, weekend). Test-retest reliability was assessed through intra-class correlation coefficients (ICCs) and standard error of measurement (SEM). The questionnaire was delivered online using Qualtrics and administered through Amazon Mechanical Turk (MTurk). -/- Results: Eighty MTurk workers completed full study participation and were included in the final analyses. All items in the screen time questionnaire showed fair to excellent relative reliability (ICCs = 0.50–0.90; all < 0.000), except for the item inquiring about the use of smartphone during an average weekend day (ICC = 0.16, p = 0.069). The SEM values were large for all screen types across the different periods under study. -/- Conclusions: Results from this study suggest this self-administered questionnaire may be used to successfully classify individuals into different categories of screen time use (e.g. high vs. low); however, it is likely that objective measures are needed to increase precision of screen time assessment. (shrink)

In two studies, we tested how the expression of civic hope in narratives and the perceived authenticity of civic/political actions relate to civic/political engagement. In a cross-sectional study of undergraduates (N = 230), the expression of civic hope predicted the perceived authenticity of civic actions (e.g., voting), which in turn predicted the motivation to engage in them. In a longitudinal on-line study that began 8 weeks prior to the 2020 U.S. Presidential election (N = 308 MTurk workers), overall expressions (...) of civic hope positively predicted the perceived authenticity of voting and the motivation to vote. In addition, expressions of civic hope positively predicted the perceived authenticity of voting, which in turn positively predicted the likelihood of reporting that one did vote. These findings indicate that a sense of civic hope and the experience of authenticity in political contexts may be important for democratic engagement. (shrink)

Research ethics committees and institutional review boards spend considerable time developing, scrutinising, and revising specific consent processes and materials for survey-based studies conducted on crowdsourcing and online recruitment platforms such as MTurk and Prolific. However, there is evidence to suggest that many users of ICT services do not read the information provided as part of the consent process and they habitually provide or refuse their consent without adequate reflection. In principle, these practices call into question the validity of their (...) consent. In this paper we argue that although the ‘no read problem’ and the routinisation of consent may apply to research participants’ consent practices for studies on crowdsourcing platforms, this is not a serious problem. Furthermore, given that the informational requirements for informed consent in these contexts are minimal, we argue that these participants are, nevertheless, sufficiently informed to give valid consent. We conclude that research ethics committees and institutional review boards should only agonise over the precise details of the informed consent process and materials in those rare cases where appreciable risks to research participants need to be managed. (shrink)

Background The purpose of this study was to examine whether extended use of a variety of screen-based devices, in addition to television, was associated with poor dietary habits and other health-related characteristics and behaviors among US adults. The recent phenomenon of binge-watching was also explored. -/- Methods A survey to assess screen time across multiple devices, dietary habits, sleep duration and quality, perceived stress, self-rated health, physical activity, and body mass index, was administered to a sample of US adults using (...) the Qualtrics platform and distributed via Amazon Mechanical Turk (MTurk). Participants were adults 18 years of age and older, English speakers, current US residents, and owners of a television and at least one other device with a screen. Three different screen time categories (heavy, moderate, and light) were created for total screen time, and separately for screen time by type of screen, based on distribution tertiles. Kruskal-Wallis tests were conducted to examine differences in dietary habits and health-related characteristics between screen time categories. -/- Results Aggregate screen time across all devices totaled 17.5 h per day for heavy users. Heavy users reported the least healthful dietary patterns and the poorest health-related characteristics – including self-rated health – compared to moderate and light users. Moreover, unique dietary habits emerged when examining dietary patterns by type of screen separately, such that heavy users of TV and smartphone displayed the least healthful dietary patterns compared to heavy users of TV-connected devices, laptop, and tablet. Binge-watching was also significantly associated with less healthy dietary patterns, including frequency of fast-food consumption as well as eating family meals in front of a television, and perceived stress. -/- Conclusions The present study found that poorer dietary choices, as well as other negative health-related impacts, occurred more often as the viewing time of a variety of different screen-based devices increased in a sample of US adults. Future research is needed to better understand what factors among different screen-based devices might affect health behaviors and in turn health-related outcomes. Research is also required to better understand how binge-watching behavior contributes impacts health-related behaviors and characteristics. (shrink)

Providing valid responses to a self-report survey requires cognitive effort. Subjects engaging in insufficient effort responding (IER) are unwilling to take this effort. Compared to psychologists, experimental philosophers so far seem to have paid less attention to IER. This paper is an attempt to begin to alleviate this shortcoming. First, I explain IER’s nature, prevalence and negative effects in self-report surveys in general. Second, I argue that IER might also affect experimental philosophy studies. Third, I develop recommendations as to how (...) experimental philosophers should (and should not) try to prevent IER. Fourth, I develop recommendations as to how experimental philosophers should (and should not) try to detect IER. Fifth, I sketch how experimental philosophers ought to proceed once a subject has been identified as an insufficient effort responder. And finally, I report the results of an online survey that addresses experimental philosophers’ current knowledge, consideration and assessment of IER. (shrink)