Reference : Internet Gaming Disorder as a formative construct: Implications for conceptualization...
Scientific journals : Article
Social & behavioral sciences, psychology : Treatment & clinical psychology
http://hdl.handle.net/10993/29812
Internet Gaming Disorder as a formative construct: Implications for conceptualization and measurement.
English
van Rooij, Antonius J. [> >]
Van Looy, Jan [> >]
Billieux, Joël mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE)]
2017
Psychiatry and clinical neurosciences
71
7
445-458
Yes (verified by ORBilu)
International
1323-1316
1440-1819
Australia
[en] Internet Gaming Disorder ; formative measurement model ; psychometrics ; reflective measurement model ; validation
[en] Some people have serious problems controlling their Internet and video game use. The DSM-5 now includes a proposal for 'Internet Gaming Disorder' (IGD) as a condition in need of further study. Various studies aim to validate the proposed diagnostic criteria for IGD and multiple new scales have been introduced that cover the suggested criteria. Using a structured approach, we demonstrate that IGD might be better interpreted as a formative construct, as opposed to the current practice of conceptualizing it as a reflective construct. Incorrectly approaching a formative construct as a reflective one causes serious problems in scale development, including: (i) incorrect reliance on item-to-total scale correlation to exclude items and incorrectly relying on indices of inter-item reliability that do not fit the measurement model (e.g., Cronbach's alpha); (ii) incorrect interpretation of composite or mean scores that assume all items are equal in contributing value to a sum score; and (iii) biased estimation of model parameters in statistical models. We show that these issues are impacting current validation efforts through two recent examples. A reinterpretation of IGD as a formative construct has broad consequences for current validation efforts and provides opportunities to reanalyze existing data. We discuss three broad implications for current research: (i) composite latent constructs should be defined and used in models; (ii) item exclusion and selection should not rely on item-to-total scale correlations; and (iii) existing definitions of IGD should be enriched further.
http://hdl.handle.net/10993/29812
10.1111/pcn.12404
(c) 2016 The Authors. Psychiatry and Clinical Neurosciences (c) 2016 Japanese Society of Psychiatry and Neurology.

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