Concepts Clarification and Differentiation between Smartphone Addiction and Compulsive Internet Use Based on Diagnostic Investigation on Two Scales

Adelhardt, Zinaida; Markus, Stefan; Eberle, Thomas S.

doi:10.1145/3328529.3328551

Cited by 4 publications

(4 citation statements)

References 25 publications

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“…Thus, we quantitatively consider how prevalent measurement issues are in scales used to study associations between technology use and well-being. Previous research by Adelhardt, Markus, and Eberle (2019) found that scores from the Smartphone Addiction Scale (short version) (SAS-SV) and the Compulsive Internet Use Scale (CIUS) were highly correlated (r = 0.98). Hence, we build on this recent work to better understand how far these measurement issues spread in smartphones before extending our investigation further.…”

Section: Measuring and Understanding The Impacts Of Technologymentioning

confidence: 99%

Fuzzy constructs in technology usage scales

Davidson

Shaw

Ellis

2022

Computers in Human Behavior

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Section: Measuring and Understanding The Impacts Of Technologymentioning

confidence: 99%

Fuzzy constructs in technology usage scales

Davidson

Shaw

Ellis

2022

Computers in Human Behavior

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“…We first computed correlations between measures to assess overlap. Highly correlated scales would suggest they are measuring similar constructs (e.g., Adelhardt et al, 2019). Next, we ran a principal components analysis (PCA) and a parallel analysis to ensure our findings were robust.…”

Section: Analysis Planmentioning

confidence: 99%

“…Therefore, and as with many other areas of psychometric development, it is natural to question what these scales are actually measuring if they provide a poor proxy for behavior (e.g., Andrews et al, 2015;Ellis et al, 2019;Junco, 2013;Kahn et al, 2014). For instance, Adelhardt, Markus, and Eberle (2019) investigated overlaps between smartphone addiction and compulsive internet use scales. Despite these scales pertaining to measure different technology constructs by researchers, they produce near identical results.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy constructs in technology usage scales

Davidson¹,

Shaw²,

Ellis³

2020

Preprint

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The mass adoption of digital technologies continues to generate psychological debate on how they impact people and society. For example, associations have regularly observed between technology use and a variety of negative outcomes including depression and anxiety. However, large, pre-registered studies have failed to replicate these findings. Regardless of direction, the majority of designs rely on self-reported ‘usage’ scales. Given their importance for research integrity, here we consider what these scales are measuring. Across two studies, we observe that many scales align with a single, identical construct despite claims they capture something unique. We then demonstrate overlap between these scales and mental health by examining latent relationships. Our results suggest that psychologists need to critically consider how they proceed both methodologically and conceptually when developing psychometric scales in this domain if research findings are to ever be drawn together into a coherent body of knowledge.

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“…Smartphone behaviour will be assessed firstly with an objective app to measure daily overall screen time (ESMira, (Karl Landsteiner University, 2023)). Secondly, participants will complete the Smartphone Addiction Scaleshort version ( (Kwon et al, 2013), German validation: (Adelhardt et al, 2019)). This scale is 10 items scored from 1-6 resulting in a maximum score of 60.…”

Section: Secondary Outcomesmentioning

confidence: 99%

The effect of increasing physical activity or reducing mobile phone use on mental health in young people in Austria and Germany: the SPARKY randomised controlled trial protocol.

Dale,

Cocca,

Humer

et al. 2023

Preprint

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Introduction: Data show adolescent mental health has declined in recent years, possibly due to increased uncertainty and loss of opportunities. The SPARKY study aims to test an at-home intervention which aims to promote autonomous healthy levels of physical activity and smartphone use, in turn reducing clinical mental illness symptoms and increasing wellbeing. Methods and analysis: Adolescents (14-19 years) in Austria and Germany will be recruited and randomised into one of three groups (physical activity, smartphone, control). The physical activity (PA) and smartphone time (ST) groups will be guided over 12-weeks to increase PA or decrease ST respectively. All groups will objectively measure PA using wrist-worn trackers and ST using an app and will regularly self-report on standardised mental health scales. Logistic models will be run with group-time interactions to assess the pre-post changes in mental health in the intervention groups compared to the control. Ethics and dissemination: The conduct of the trial was approved by the institutional research ethics board and written informed consent will be obtained from participants and the parents of those under 18. Data will be stored open access. Findings will be disseminated through conferences, media interviews and publications to peer-reviewed journals.

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Concepts Clarification and Differentiation between Smartphone Addiction and Compulsive Internet Use Based on Diagnostic Investigation on Two Scales

Cited by 4 publications

References 25 publications

Fuzzy constructs in technology usage scales

Fuzzy constructs in technology usage scales

Fuzzy constructs in technology usage scales

The effect of increasing physical activity or reducing mobile phone use on mental health in young people in Austria and Germany: the SPARKY randomised controlled trial protocol.

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