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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Paolillo, A., Pasini, M., Silva, S. A. & Magnano, P. (2017). Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale. Quality and Quantity. 51 (2), 873-890
Exportar Referência (IEEE) 
A. Paolillo et al.,  "Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale", in Quality and Quantity, vol. 51, no. 2, pp. 873-890, 2017
Exportar BibTeX 
@article{paolillo2017_1713499153592,
	author = "Paolillo, A. and Pasini, M. and Silva, S. A. and Magnano, P.",
	title = "Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale",
	journal = "Quality and Quantity",
	year = "2017",
	volume = "51",
	number = "2",
	doi = "10.1007/s11135-016-0316-3",
	pages = "873-890",
	url = "http://link.springer.com/article/10.1007/s11135-016-0316-3"
}
Exportar RIS 
TY  - JOUR
TI  - Psychometric properties of the Italian adaptation of the Mor Barak et al. diversity climate scale
T2  - Quality and Quantity
VL  - 51
IS  - 2
AU  - Paolillo, A.
AU  - Pasini, M.
AU  - Silva, S. A.
AU  - Magnano, P.
PY  - 2017
SP  - 873-890
SN  - 0033-5177
DO  - 10.1007/s11135-016-0316-3
UR  - http://link.springer.com/article/10.1007/s11135-016-0316-3
AB  - The Diversity Climate Scale is a questionnaire developed in the U.S. for the investigation of employees’ shared perceptions about their organizational context related to women and minorities. The measure was not used in the European context yet. The psychometric properties of the Italian adaptation of the Mor Barak, Cherin and Berkman Diversity Climate Scale were investigated in this work by using a sample of Italian (n = 395) white-collar and blue-collar employees. A pilot study to make the scale suitable for the Italian context was conducted using the cognitive interview technique. Then a series of multiple-group confirmatory factor analyses was performed. The results showed that a three-factor solution best fit the data, using only 12 items of the original scale. The analyses supported factor variance and factor covariance equivalence in addition to metric equivalence. Internal consistency of the scale was good. Discriminant validity between latent factors and Criterion validity were supported.
ER  -