Fuzzy constructs in technology usage scales

Davidson, Brittany I.; Shaw, Heather; Ellis, David

doi:10.1016/j.chb.2022.107206

Cited by 33 publications

(22 citation statements)

References 65 publications

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“…methodologies including longitudinal (Jensen et al, 2019), specification curve analyses , meta-analyses (Appel et al, 2020), and systematic reviews (Best et al, 2014;Dickson et al, 2019;Odgers & Jensen, 2020;Ophir et al, 2020). Reviews indicate early research has been hampered by inaccurate measurements of engagement with internet and related technologies (Davidson et al, 2022;Parry et al, 2021;Scharkow, 2016), biased convenience samples drawn predominantly from countries in the Global North (Ghai et al, 2021), studying a limited range of well-being outcomes , and reliance on self-reported evaluations in place of clinical estimates of important mental health outcomes (Campbell et al, 2006). A comprehensive test of the overall association between internet adoption and well-being and mental health, broadly defined, has therefore not been conducted.…”

mentioning

confidence: 99%

Global well-being and mental health in the internet age

Vuorre¹,

Przybylski²

2022

Preprint

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In the last two decades the rise of internet technologies have impacted nearly all domains of human life and inspired concern that their widespread adoption has had a harmful effect on mental health and psychological well-being. However, research on the topic is contested and hampered by methodological shortcomings leaving the broader consequences of internet adoption unknown. We show that the past two decades have seen only small and inconsistent changes in global well-being and mental health. We demonstrate that the broadest available health and internet technology data does not support the idea that the adoption of internet and mobile broadband has been psychologically harmful on a global level. Moreover, little or no negative associations were observed for adolescents—a group thought particularly vulnerable. Further investigation of this topic requires transparent study of online behaviours where they occur: on online communication, media, social media, and video game platforms. We place an urgent call to increase the collaborative efforts between independent scientists and the internet technology sector.

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confidence: 99%

Global well-being and mental health in the internet age

Vuorre¹,

Przybylski²

2022

Preprint

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“…As with many measures assessing problematic digital technology use (Davidson et al, 2022 ), most items assessing perceived technological impairment measure some existing degree of psychological problems. For example, items pertaining to known correlates with poorer mental health were included, including lower social connectedness (Jose et al, 2012 ) and sleep problems (Vermeulen et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…Digital technology use that is perceived as problematic is more strongly linked to poorer well-being than are more basic reports of digital technology use and time spent on screens and devices (Davidson et al, 2022 ). The current research examined well-being in the context of psychological distress, defined as adolescents’ depressive and anxiety symptoms over the past month.…”

Section: Introductionmentioning

confidence: 99%

Trajectories of Perceived Technological Impairment and Psychological Distress in Adolescents

Burnell

Odgers

2022

J Youth Adolescence

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“…Nonetheless, most research in the field has persisted with a unitary model focusing on the smartphone as the locus of addictive behavior (Horvath et al, 2020). Such taxonomical problems have led in part to the development of many scales claiming to assess distinct aspects of smartphone psychopathology (Harris et al, 2020), that increasingly appear to instead measure a single underlying construct (Davidson et al (2022).…”

Section: Smartphone Addictionmentioning

confidence: 99%

“…Subjective and objective measures of smartphone behavior may capture different variance. Davidson et al (2022) demonstrated that scores on the Smartphone Addiction Scale (SAS) (Kwon et al, 2013) overlapped with depression, anxiety and stress more than logged smartphone usage. This could be due to the self-report nature of these measures potentially capturing common variance in individual traits or mental health symptomology such as impulsivity, negative affect, or extraversion (Ellis et al, 2019) , rather than specific smartphone 'addiction' (Shaw et al, 2020) .…”

Section: Self-report Vs Logged Behaviormentioning

confidence: 99%

The relationship between smartphone use and smartphone addiction: an examination of logged and self-reported behaviour in a pre-registered, two-wave sample

Hitcham¹,

Jackson²,

James³

2022

Preprint

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Measurements of smartphone addiction weakly correlate with actual behaviour logged from smartphones. Instead, smartphone addiction may probe distress rather than disordered behaviour, but this has not been adequately tested. This study examined the relative contributions of self-reported and actual smartphone behaviour alongside key mental health and individual differences in a pre-registered, two-wave study with a two week re-test. 511 smartphone users (391 at Time 2) completed measures of smartphone usage, attitudes towards smartphone usage, smartphone and other behavioural addictions, and individual differences. Smartphone addiction is principally driven by perceived rather than actual usage, especially where these are discordant. Self-reported smartphone usage, other behavioural addictions, and the impulsive facet of negative urgency are more predictive of smartphone addiction than logged behaviour. These results fail to support the idea that volume of smartphone usage is a sufficient criterion for an addictive behaviour and questions the validity of smartphone addiction measurements.

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Fuzzy constructs in technology usage scales

Cited by 33 publications

References 65 publications

Global well-being and mental health in the internet age

Global well-being and mental health in the internet age

Trajectories of Perceived Technological Impairment and Psychological Distress in Adolescents

The relationship between smartphone use and smartphone addiction: an examination of logged and self-reported behaviour in a pre-registered, two-wave sample

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