Abstract

BackgroundInteractive digital technology use is integral to adolescents’ lives and has been associated with both health benefits and risks. Previous studies have largely focused on measuring the quantity of technology use or understanding the use of specific platforms. To better understand adolescents’ interactive digital technology use, we need new approaches that consider technology interactions and their importance.ObjectiveThis study aimed to develop an assessment tool to evaluate adolescents’ digital technology interactions and their perceived importance.MethodsWe used a validated scale development approach comprising 2 initial steps to create an item pool: item pool development and item pool refinement. These steps relied upon empirical literature review and an expert convening. We then evaluated the item pool using a Web-based survey. Data were collected via Qualtrics panel recruitment from a national sample of 12- to 18-year-olds. Participant data were randomly split into a development subsample for exploratory factor analysis (EFA) and a test subsample for confirmatory factor analysis (CFA). We assessed Cronbach alpha as well as model fit characteristics including root mean square error of approximation (RMSEA) and comparative fit index (CFI).ResultsOur initial item pool had 71 items and the refined item pool contained 40. A total of 761 adolescents assessed the item pool via Web-based survey. Participants had a mean age of 14.8 (SD 1.7) years and were 52.8% (402/761) female and 77.5% (590/761) white. The EFA analysis included 500 participants and an 18-item draft scale was created. The CFA included 261 participants to test the draft scale. Adequate model fit for the scale was indicated by an RMSEA of 0.063 and a CFI of 0.95. The final scale included 18 items in a 3-factor model, with Cronbach alpha for the 3 factors of .87 (factor 1), .90 (factor 2) and .82 (factor 3). The 3 factors were named (1) technology to bridge online and offline experiences, (2) technology to go outside one’s identity or offline environment, and (3) technology for social connection.ConclusionsThe resulting Adolescents’ Digital Technology Interactions and Importance (ADTI) scale is a promising and psychometrically validated tool for identifying the importance of distinct technology interactions. The scale is informed by relevant theory and expert input. The 3 subscales have utility for future studies to understand whether certain subscale score ranges are associated with health or well-being outcomes.

Highlights

  • BackgroundAdolescents today are often considered digital natives given they are growing up in an immersive technological society

  • The Adolescents’ Digital Technology Interactions and Importance (ADTI) scale is grounded in theory, including the Uses and Gratifications model, the Facebook Influence Model (FIM), and the Affordances approach

  • The scale assesses the types of technology interactions rather than specific platforms, there are no brand-name platforms or programs included in the assessment items

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Summary

Introduction

BackgroundAdolescents today are often considered digital natives given they are growing up in an immersive technological society. The majority of adolescents have a personal smartphone and engage with digital media; approximately 45% of adolescents describe that they are online almost constantly [1] These findings illustrate that technology use is nearly ubiquitous and highly important to today’s adolescents. Interactive digital technology use is integral to adolescents’ lives and has been associated with both health benefits and risks. Objective: This study aimed to develop an assessment tool to evaluate adolescents’ digital technology interactions and their perceived importance. Methods: We used a validated scale development approach comprising 2 initial steps to create an item pool: item pool development and item pool refinement. These steps relied upon empirical literature review and an expert convening. The 3 subscales have utility for future studies to understand whether certain subscale score ranges are associated with health or well-being outcomes

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