A statistical approach to quantitative data validation focused on the assessment of students’ perceptions about biotechnology

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Table 5 Factor structure for the importance of biotechnology scale based on EFA and reliability analysis

		Identifiable factor	One sample t-test (test value=3)
Item	h ²	*Importance of biotechnology*	M	SD	t(1195)	p
Q4. How important do you think biotechnology is to the quality of life?	0.65	0.81	3.75	0.81	32.08	<0.001
Q6c. Do you agree that future generations will benefit from biotechnology medical applications?	0.65	0.81	3.99	0.95	36.24	<0.001
Eigenvalue		1.30
% of variance		65.15
Cronbach’s alpha		0.46
	M	3.87
	SD	0.71
	t(1195)	42.48
	p	<0.001

EFA - exploratory factor analysis. Coefficients below 0.30 were suppressed. KMO = 0.50. Bartlett’s Test of Sphericity: χ ²(1) = 114.89, p < 0.001. h ² - communality coefficient. M - Mean. SD - Standard Deviation.