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). Standardized root mean squared residual (SRMR), was also computed, with its value <0.08 representing an acceptable fit. Descriptive statistics, internal consistency (≥0.70 representing a satisfactory reliability; Cortina, 1993 ), and correlation analysis were

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. , Cohen , P. , West , S. G. , & Aiken , L. S. ( 2003 ). Applied multiple regression/correlation analysis for the behavioral science ( 3rd ed

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Journal of Behavioral Addictions
Authors: Giacomo Grassi, Stefano Pallanti, Lorenzo Righi, Martijn Figee, Mariska Mantione, Damiaan Denys, Daniele Piccagliani, Alessandro Rossi, and Paolo Stratta

control group Correlation analysis Pearson product-moment correlation coefficients between clinical variables (symptom severity, illness duration, presence or history of tics, presence

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Journal of Behavioral Addictions
Authors: Bernadette Kun, Zsofia K. Takacs, Mara J. Richman, Mark D. Griffiths, and Zsolt Demetrovics

using correlation analysis between any personality variable and work addiction. Compared to the previous meta-analytic studies, the present study (i) clearly differentiated between “workaholism” and “work addiction” and only included those studies which

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Journal of Behavioral Addictions
Authors: András N. Zsidó, Gergely Darnai, Orsolya Inhóf, Gábor Perlaki, Gergely Orsi, Szilvia Anett Nagy, Beatrix Lábadi, Kata Lénárd, Norbert Kovács, Tamás Dóczi, and József Janszky

separately for the two groups to test for the direction of the correlation between cortical thickness and trait impulsivity. The significance value of a correlation analysis is highly dependent on the sample size, such that the probability of type II error

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. , Cohen , P. , West , S. G. , & Aiken , L. S. ( 2003 ). Applied multiple regression/correlation analysis for the behavioral sciences ( 3rd ed. ). Mahwah, NJ : Lawrence Erlbaum Associates

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Journal of Behavioral Addictions
Authors: Eszter Kotyuk, Anna Magi, Andrea Eisinger, Orsolya Király, Andrea Vereczkei, Csaba Barta, Mark D. Griffiths, Anna Székely, Gyöngyi Kökönyei, Judit Farkas, Bernadette Kun, Rajendra D. Badgaiyan, Róbert Urbán, Kenneth Blum, and Zsolt Demetrovics

. mean age for lifetime amphetamine users: 22.52 ± 3.1 years, mean age for those who never used amphetamine in their lifetime: 22.12 ± 3.1 years). In case of the assessed potentially addictive behaviors, correlational analysis showed a negative

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in depression and IGD were moderate (Cohen’s d > 0.3 and all P < 0.001). Correlation analysis Bivariate correlation analyses showed that all the independent variables, mediators, and dependent

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Pearson's correlation analysis according to these variables. Thus, we were unable to verify our assumption due to the scarcity of such data. Fourth, as a meta-analysis based on cross-sectional studies, the possibilities to draw valid conclusions about

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