- Psychometric Assessment of the Motives for Online Gaming Questionnaire Among Iranian Gamers
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Hamzehzadeh M, Sangchooli A, Farnam R, Rafiemanesh H, Shadloo B, Ghani K, Jobehdar MM, Amin-Esmaeili M, Rahimi J, Demetrovics Z, Király O, Rahimi-Movaghar A
- KMID: 2530300
- Psychiatry Investig.
- 2022 May;19(5):333-340.
- doi: 10.30773/pi.2021.0185
Objective Gaming motivations are crucial aspects of healthy and problematic video gaming behavior. The aim of this study was to assess the psychometric properties of the widely used Motives for... -
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- Psychometric Properties of the Persian Version of the Gaming Motivation Scale
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Ghani K, Farnam R, Rafiemanesh H, Shadloo B, Sangchooli A, Hamzehzadeh M, Jobehdar MM, Amin-Esmaeili M, Rahimi Y, Demetrovics Z, Király O, Rahimi-Movaghar A
- KMID: 2544513
- Psychiatry Investig.
- 2023 Jul;20(7):664-670.
- doi: 10.30773/pi.2022.0153
Objective Gaming motivations are a central aspect of playing video games, and their importance to understanding both healthy and problematic gaming behavior has been increasingly elucidated. In this study, we... -
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- Assessing measurement error in surveys using latent class analysis: application to self-reported illicit drug use in data from the Iranian Mental Health Survey
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Khalagi K, Mansournia MA, Rahimi-Movaghar A, Nourijelyani K, Amin-Esmaeili M, Hajebi A, Sharifi V, Radgoodarzi R, Hefazi M, Motevalian A
- KMID: 2380722
- Epidemiol Health.
- 2016;38:e2016013.
- doi: 10.4178/epih.e2016013
Latent class analysis (LCA) is a method of assessing and correcting measurement error in surveys. The local independence assumption in LCA assumes that indicators are independent from each other condition... -
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