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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)
Gomes, A. & Dias, J. G. (2015). Improving the selection of pilot air force candidates using latent trajectories: an application of latent growth mixture modeling. International Journal of Aviation Psychology. 25 (2), 108-121
Exportar Referência (IEEE)
A. P. Gomes and J. M. Dias,  "Improving the selection of pilot air force candidates using latent trajectories: an application of latent growth mixture modeling", in Int. Journal of Aviation Psychology, vol. 25, no. 2, pp. 108-121, 2015
Exportar BibTeX
@article{gomes2015_1660457849352,
	author = "Gomes, A. and Dias, J. G.",
	title = "Improving the selection of pilot air force candidates using latent trajectories: an application of latent growth mixture modeling",
	journal = "International Journal of Aviation Psychology",
	year = "2015",
	volume = "25",
	number = "2",
	doi = "10.1080/10508414.2015.1130489",
	pages = "108-121",
	url = "http://www.tandfonline.com/doi/abs/10.1080/10508414.2015.1130489"
}
Exportar RIS
TY  - JOUR
TI  - Improving the selection of pilot air force candidates using latent trajectories: an application of latent growth mixture modeling
T2  - International Journal of Aviation Psychology
VL  - 25
IS  - 2
AU  - Gomes, A.
AU  - Dias, J. G.
PY  - 2015
SP  - 108-121
SN  - 1050-8414
DO  - 10.1080/10508414.2015.1130489
UR  - http://www.tandfonline.com/doi/abs/10.1080/10508414.2015.1130489
AB  - Latent growth mixture modeling is a statistical approach that models longitudinal data, grouping individuals who share similar longitudinal data patterns into latent classes. We evaluated the application of this method in a sample of ab initio pilot applicants (N = 297), using longitudinal data collected from a military flight-screening program (where the applicants flew seven required flights), resulting in a final pass–fail outcome. Results showed the existence of a two-class solution (Cluster 1 presented an initially higher performance and contained 75% of the Pass candidates) and the psychomotor coordination and general adaptability showed a significant effect.
ER  -