Evidence map›Paper›PMID 32049068›Full record

ArticleJournal of medical Internet research2020

Measuring Interests Not Minutes: Development and Validation of the Adolescents' Digital Technology Interactions and Importance Scale (ADTI).

Megan A Moreno, Kole Binger, Qianqian Zhao, Jens Eickhoff

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  7. Adolescent Social Communication Through Smartphones: Linguistic Features of Internalizing Symptoms and Daily Mood.Clinical psychological science : a journal of the Association for Psychological Science · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Megan A MorenoDepartment of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0003-2767-0787
Kole BingerDepartment of Pediatrics, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0001-7644-5709
Qianqian ZhaoDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0002-8772-5244
Jens EickhoffDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States.ORCID 0000-0003-0525-6462

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AdolescentChildFemaleHumansMalePsychometricsReproducibility of ResultsSurveys and Questionnairesadolescentsinstrument developmentmethodology, surveyscreen timesocial mediatechnology

Identifiers

PMID32049068
PMCPMC7055832

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.