@article{MTMT:30393074,
	title = {Ten myths about work addiction},
	url = {https://m2.mtmt.hu/api/publication/30393074},
	author = {Griffiths, Mark D and Demetrovics, Zsolt and Atroszko, Paweł A},
	doi = {10.1556/2006.7.2018.05},
	journal-iso = {J BEHAV ADDICT},
	journal = {JOURNAL OF BEHAVIORAL ADDICTIONS},
	volume = {7},
	unique-id = {30393074},
	issn = {2062-5871},
	year = {2018},
	eissn = {2063-5303},
	pages = {845-857},
	orcid-numbers = {Demetrovics, Zsolt/0000-0001-5604-7551}
}

@article{MTMT:3054243,
	title = {Cross-cultural confirmation of bi-factor models of a symptom distress measure: Symptom Checklist-90-Revised in clinical samples.},
	url = {https://m2.mtmt.hu/api/publication/3054243},
	author = {Urbán, Róbert and Arrindell, WA and Demetrovics, Zsolt and Unoka, Zsolt and Timman, R},
	doi = {10.1016/j.psychres.2016.03.039},
	journal-iso = {PSYCHIAT RES},
	journal = {PSYCHIATRY RESEARCH},
	volume = {239},
	unique-id = {3054243},
	issn = {0165-1781},
	abstract = {Four decades have elapsed since the introduction for clinical and research purposes of the Symptom Checklist-90(-R). Yet, its underlying dimensional structure has not been clearly delineated. A shift has been observed in the methods utilized-from predominantly exploratory factor analytic in nature in the first two decades or so to different confirmatory methods in recent years. A need remains to search for a structure that remains invariant across samples and nations. In that context, the present study attempted to replicate and extend recent findings yielded in a Hungarian general population sample (N=2,874) with two psychiatric patient samples from Hungary (N=972) and The Netherlands (N=1,902). In doing so, four models were contrasted: the one-factor model, Derogatis' nine factor model, a second-ordered factor model, and a bi-factor model. The bi-factor model was shown to yield the closest fit to the data in both countries. Further studies are needed to determine the stable number and kind of subscale scores that reflect the specific (primary) symptoms best, that is, those subscales with minimal shared variance with the overall general psychological distress dimension.},
	year = {2016},
	eissn = {1872-7123},
	pages = {265-274},
	orcid-numbers = {Urbán, Róbert/0000-0002-2058-5937; Demetrovics, Zsolt/0000-0001-5604-7551; Unoka, Zsolt/0000-0003-0103-5064}
}

@article{MTMT:2538528,
	title = {Bifactor structural model of symptom checklists: SCL-90-R and Brief Symptom Inventory (BSI) in a non-clinical community sample.},
	url = {https://m2.mtmt.hu/api/publication/2538528},
	author = {Urbán, Róbert and Kun, Bernadette and Farkas, Judit and Paksi, Borbála and Kökönyei, Gyöngyi and Unoka, Zsolt and Felvinczi, Katalin and Oláh, Attila and Demetrovics, Zsolt},
	doi = {10.1016/j.psychres.2014.01.027},
	journal-iso = {PSYCHIAT RES},
	journal = {PSYCHIATRY RESEARCH},
	volume = {216},
	unique-id = {2538528},
	issn = {0165-1781},
	abstract = {The Derogatis symptom checklist (SCL-90-R) and its short version, the Brief Symptom Inventory (BSI), are widely used instruments, despite the fact that their factor structures were not clearly confirmed. The goals of this research were to compare four measurement models of these instruments including one-factor, nine-factor, a second-ordered factor model and a bifactor model, in addition to testing the gender difference in symptom factors in a community sample. SCL-90-R was assessed in a large community survey which included 2710 adults who represent the population of Hungary. Statistical analyses included a series of confirmatory factor analyses and multiple indicator multiple cause (MIMIC modeling). The responses to items were treated as ordinal scales. The analysis revealed that the bifactor model yielded the closest fit in both the full SCL-90-R and BSI; however the nine-factor model also had an acceptable level of fit. As for the gender differences, women scored higher on global severity, somatization, obsession-compulsion, interpersonal sensitivity, depression and anxiety factors. Men scored higher on hostility and psychoticism. The bifactor model of symptom checklist supports the concept of global symptom severity and specific symptom factors. Global symptom severity explains the large correlations between symptom factors.},
	keywords = {gender differences; Confirmatory factor analysis; bifactor model; Symptom checklist (SCL-90-R); Brief Symptom Inventory (BSI)},
	year = {2014},
	eissn = {1872-7123},
	pages = {146-154},
	orcid-numbers = {Urbán, Róbert/0000-0002-2058-5937; Kun, Bernadette/0000-0003-1609-2977; Farkas, Judit/0000-0002-2450-0355; Paksi, Borbála/0000-0002-3616-2867; Kökönyei, Gyöngyi/0000-0001-6750-2644; Unoka, Zsolt/0000-0003-0103-5064; Felvinczi, Katalin/0000-0003-1813-7227; Oláh, Attila/0000-0001-9483-1347; Demetrovics, Zsolt/0000-0001-5604-7551}
}

@article{MTMT:1334731,
	title = {A magyar népesség addiktológiai problémái: az Országos Lakossági Adatfelvétel az Addiktológiai Problémákról (OLAAP) reprezentatív felmérés módszertana és a minta leíró jellemzői},
	url = {https://m2.mtmt.hu/api/publication/1334731},
	author = {Paksi, Borbála and Rózsa, Sándor and Kun, Bernadette and Arnold, Petra and Demetrovics, Zsolt},
	doi = {10.1556/Mental.10.2009.4.1},
	journal-iso = {MENTÁLHIGIÉNÉ ÉS PSZICHOSZOMATIKA},
	journal = {MENTÁLHIGIÉNÉ ÉS PSZICHOSZOMATIKA},
	volume = {10},
	unique-id = {1334731},
	issn = {1419-8126},
	year = {2009},
	eissn = {1786-3759},
	pages = {273-300},
	orcid-numbers = {Paksi, Borbála/0000-0002-3616-2867; Kun, Bernadette/0000-0003-1609-2977; Demetrovics, Zsolt/0000-0001-5604-7551}
}