The items of the Bergen Facebook Addiction Scale (Andreassen et al., 2012) were adapted to study the construct in Instagram users. This construct is defined as the tendency to be overly concerned about Instagram, spending so much time and effort on this platform to the point of harming other activities in the individual’s life, interpersonal relationships and psychological well-being. Different Item Response Theory (IRT) models was applied for polytomous items in order to determine which one best explains the responses of those evaluated. The six items were translated into Spanish and evaluated by an expert jury. A total of 754 Instagram users from the Buenos Aires Metropolitan Area took part in the study (65.8% women). An Exploratory Factor Analysis was performed to verify the unidimensional assumption and the assumption of local independence was corroborated. The results referring to the models fit data allows us to provide evidence that the Grades Response Model (GRM) presents the most adequate parametric structure to shape the subject’s responses. All items were adjusted to GRM. Parameters a ranged from 2.02 to 3.45 (Mean = 2.69; SD = 0.49). Parameters b were located within the expected range (-3 to 3) with a minimum θ of -0.51 and a maximum of 2.74. The Ordinal Alpha and Omega were elevated. The Information Function shows a maximum value of 14.26 around a θ of 1.2. This function shows a negative asymmetry, indicating that the scale is more accurate for measuring high levels of the trait.
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Hong Kong Polytech Univ, Dept Rehabil Sci, Hong Kong, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Rehabil Sci, Hong Kong, Hong Kong, Peoples R China
Lin, Chung-Ying
Brostrom, Anders
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Jonkoping Univ, Sch Hlth & Welf, Dept Nursing, Jonkoping, SwedenHong Kong Polytech Univ, Dept Rehabil Sci, Hong Kong, Hong Kong, Peoples R China
Brostrom, Anders
Nilsen, Per
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Linkoping Univ, Dept Med & Hlth Sci, Linkoping, SwedenHong Kong Polytech Univ, Dept Rehabil Sci, Hong Kong, Hong Kong, Peoples R China
Nilsen, Per
Griffiths, Mark D.
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Nottingham Trent Univ, Dept Psychol, Int Gaming Res Unit, Nottingham, EnglandHong Kong Polytech Univ, Dept Rehabil Sci, Hong Kong, Hong Kong, Peoples R China
Griffiths, Mark D.
Pakpour, Amir H.
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Qazvin Univ Med Sci, Social Determinants Hlth Res Ctr SDH, Shahid Bahonar Blvd, Qazvin 3419759811, IranHong Kong Polytech Univ, Dept Rehabil Sci, Hong Kong, Hong Kong, Peoples R China