z-logo
Premium
Internet Gaming Disorder as a formative construct: Implications for conceptualization and measurement
Author(s) -
van Rooij Antonius J,
Van Looy Jan,
Billieux Joël
Publication year - 2017
Publication title -
psychiatry and clinical neurosciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.609
H-Index - 74
eISSN - 1440-1819
pISSN - 1323-1316
DOI - 10.1111/pcn.12404
Subject(s) - construct (python library) , conceptualization , formative assessment , scale (ratio) , psychology , reliability (semiconductor) , cronbach's alpha , the internet , computer science , social psychology , psychometrics , artificial intelligence , developmental psychology , mathematics education , world wide web , power (physics) , physics , quantum mechanics , programming language
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 α); (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.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom