A brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory

The purpose of this study was to use item response theory to assess a brief measure of problematic smartphone use among high school students, using the 2017-18 California Student Tobacco Survey (CSTS) collected from 119,981 students who own a smartphone across 256 high schools in California. An expl...

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Autores principales:	Scott I. Donaldson, David Strong, Shu-Hong Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Problematic smartphone use Youth Measurement Psychometric Item response theory Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
Acceso en línea:	https://doaj.org/article/0392687d2e9142699b4dd27d759a5e3a
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spelling	oai:doaj.org-article:0392687d2e9142699b4dd27d759a5e3a2021-12-01T05:04:02ZA brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory2451-958810.1016/j.chbr.2021.100091https://doaj.org/article/0392687d2e9142699b4dd27d759a5e3a2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2451958821000397https://doaj.org/toc/2451-9588The purpose of this study was to use item response theory to assess a brief measure of problematic smartphone use among high school students, using the 2017-18 California Student Tobacco Survey (CSTS) collected from 119,981 students who own a smartphone across 256 high schools in California. An exploratory factor analysis supported two factors that represented problematic smartphone use and concurrent behavioral issues, explaining 47% of the variance. Item response modeling demonstrated good item discrimination for problematic smartphone use (a > 1.15) and valuable test information for respondents within two standard deviations of the sample mean. Students who reported a score of 3 (somewhat agree) or 4 (agree) on each problematic smartphone use item accounted for 22% (n = 25,997) of the student population who owned smartphones in our sample. Concurrent and criterion validity were found as problematic smartphone use significantly predicted smartphone use instead of sleep (b = 0.35, 95% CI [0.34, 0.36], p < .05), smartphone use instead of work (b = 0.31, 95% CI [0.30, 0.32], p < .05), depressive symptomatology (OR = 1.34, 95% CI [1.31, 1.37]), and loneliness (b = 0.18, 95% CI [0.16, 0.18], p < .01). Implications for screening and identifying appropriate cut-off criteria for problematic smartphone use are discussed.Scott I. DonaldsonDavid StrongShu-Hong ZhuElsevierarticleProblematic smartphone useYouthMeasurementPsychometricItem response theoryElectronic computers. Computer scienceQA75.5-76.95PsychologyBF1-990ENComputers in Human Behavior Reports, Vol 3, Iss , Pp 100091- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Problematic smartphone use Youth Measurement Psychometric Item response theory Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990
spellingShingle	Problematic smartphone use Youth Measurement Psychometric Item response theory Electronic computers. Computer science QA75.5-76.95 Psychology BF1-990 Scott I. Donaldson David Strong Shu-Hong Zhu A brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory
description	The purpose of this study was to use item response theory to assess a brief measure of problematic smartphone use among high school students, using the 2017-18 California Student Tobacco Survey (CSTS) collected from 119,981 students who own a smartphone across 256 high schools in California. An exploratory factor analysis supported two factors that represented problematic smartphone use and concurrent behavioral issues, explaining 47% of the variance. Item response modeling demonstrated good item discrimination for problematic smartphone use (a > 1.15) and valuable test information for respondents within two standard deviations of the sample mean. Students who reported a score of 3 (somewhat agree) or 4 (agree) on each problematic smartphone use item accounted for 22% (n = 25,997) of the student population who owned smartphones in our sample. Concurrent and criterion validity were found as problematic smartphone use significantly predicted smartphone use instead of sleep (b = 0.35, 95% CI [0.34, 0.36], p < .05), smartphone use instead of work (b = 0.31, 95% CI [0.30, 0.32], p < .05), depressive symptomatology (OR = 1.34, 95% CI [1.31, 1.37]), and loneliness (b = 0.18, 95% CI [0.16, 0.18], p < .01). Implications for screening and identifying appropriate cut-off criteria for problematic smartphone use are discussed.
format	article
author	Scott I. Donaldson David Strong Shu-Hong Zhu
author_facet	Scott I. Donaldson David Strong Shu-Hong Zhu
author_sort	Scott I. Donaldson
title	A brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory
title_short	A brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory
title_full	A brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory
title_fullStr	A brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory
title_full_unstemmed	A brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory
title_sort	brief measure of problematic smartphone use among high school students: psychometric assessment using item response theory
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/0392687d2e9142699b4dd27d759a5e3a
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A brief measure of problematic smartphone use among high school students: Psychometric assessment using item response theory

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