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

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Table 3 Factor structure of the behavioral component of attitudes scale based on EFA and reliability analysis

		Identifiable factors		One sample t-test (test value = 3)
Item	h ²	*Buying intent*	*Access to genetic information*	M	SD	t(1195)	p
Q7a. Buy transgenic foods if they were easily available in supermarkets	0.71	0.84		2.78	1.05	−7.17	<0.001
Q7b. Buy medicines obtained by genetically manipulation	0.59	0.77		2.93	1.07	−2.24	0.03
Q11c. Buy transgenic foods if they were healthier than other foods	0.55	0.57		3.51	1.16	15.28	<0.001
Q11d. Buy transgenic foods if they were less expensive than other foods	0.49	0.67		2.53	1.21	−13.55	<0.001
Q11a. Do a genetic test for medical diagnosis	0.67		0.81	3.35	1.22	9.98	<0.001
Q11b. Give the police access to your genetic information	0.65		0.80	2.48	1.22	−14.69	<0.001
Eigenvalue		2.51	1.15
% of variance		41.83	19.17
Cronbach’s alpha		0.72	0.56
	M	2.94	2.92
	SD	0.83	1.02
	t(1195)	−2.594	−2.83
	p	0.01	0.01

EFA - exploratory factor analysis. Coefficients below 0.30 were suppressed. KMO = 0.74. Bartlett’s Test of Sphericity: χ ²(15) = 1378.22, p < 0.001. h ² - communality coefficient. M - Mean. SD - Standard Deviation.